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ORCIDHongyuan Zha
Person information
- affiliation: The Chinese University of Hong Kong, Shenzhen, China
- affiliation (former): Georgia Institute of Technology, Atlanta, GA, USA
- affiliation (former): Penn State, University Park, USA
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Journal Articles
- 2024
[j82]Dandan Guo
, Chaojie Wang, Baoxiang Wang, Hongyuan Zha:
Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2139-2152 (2024)- 2023
- [j81]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 178:1-178:75 (2023) - [j80]Hongyuan Zha, Yujun Guo, Yicen Liu, Xueqin Zhang, Song Xiao, Guoqiang Gao, Guangning Wu:
The Characteristic Analysis of ESDD and NSDD Detection of Composite Insulators Based on Hyperspectral Technology. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [j79]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(3): 2683-2696 (2023) - [j78]Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha:
Modeling Event Propagation via Graph Biased Temporal Point Process. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1681-1691 (2023) - 2022
- [j77]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(2): 50 (2022) - [j76]Wenyan Liu, Xiangfeng Wang, Haikun Zheng, Bo Jin, Xiaoling Wang, Hongyuan Zha:
Mitigating disparate impact on model accuracy in differentially private learning. Inf. Sci. 616: 108-126 (2022) - [j75]Wenhao Li, Xiangfeng Wang, Bo Jin, Dijun Luo, Hongyuan Zha:
Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8618-8634 (2022) - [j74]Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equation. SIAM J. Numer. Anal. 60(3): 1385-1449 (2022) - [j73]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model. IEEE Trans. Knowl. Data Eng. 34(2): 573-586 (2022) - [j72]Xingbo Du, Junchi Yan, Rui Zhang, Hongyuan Zha:
Cross-Network Skip-Gram Embedding for Joint Network Alignment and Link Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1080-1095 (2022) - [j71]Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang:
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Trans. Inf. Syst. 40(2): 26:1-26:28 (2022) - [j70]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison. IEEE Trans. Vis. Comput. Graph. 28(12): 4531-4545 (2022) - 2020
- [j69]Zhe Ren, Junchi Yan, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
Unsupervised learning of optical flow with patch consistency and occlusion estimation. Pattern Recognit. 103: 107191 (2020) - [j68]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [j67]Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. 32(1): 121-134 (2020) - 2019
- [j66]Chengyu Wang, Yan Fan, Xiaofeng He, Hongyuan Zha, Aoying Zhou:
Idiomaticity Prediction of Chinese Noun Compounds and Its Applications. IEEE Access 7: 142866-142878 (2019) - [j65]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Match via Inverse Optimal Transport. J. Mach. Learn. Res. 20: 80:1-80:37 (2019) - [j64]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Joint Active Learning with Feature Selection via CUR Matrix Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1382-1396 (2019) - [j63]Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha:
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3124-3136 (2019) - [j62]Xu Chen, Yongfeng Zhang, Hongteng Xu, Zheng Qin, Hongyuan Zha:
Adversarial Distillation for Efficient Recommendation with External Knowledge. ACM Trans. Inf. Syst. 37(1): 12:1-12:28 (2019) - [j61]Shunan Guo, Zhuochen Jin, David Gotz, Fan Du, Hongyuan Zha, Nan Cao:
Visual Progression Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 25(1): 417-426 (2019) - 2018
- [j60]Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Publication Popularity Modeling via Adversarial Learning of Profile-Specific Dynamic Process. IEEE Access 6: 19984-19992 (2018) - [j59]Xiangfeng Wang, Wenjie Zhang, Junchi Yan, Xiaoming Yuan, Hongyuan Zha:
On the flexibility of block coordinate descent for large-scale optimization. Neurocomputing 272: 471-480 (2018) - [j58]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence prediction for continuous-time information propagation on networks. Networks Heterog. Media 13(4): 567-583 (2018) - [j57]Liangda Li, Hongyuan Zha:
Energy Usage Behavior Modeling in Energy Disaggregation via Hawkes Processes. ACM Trans. Intell. Syst. Technol. 9(3): 36:1-36:22 (2018) - [j56]Yujin Zhu, Zhe Wang, Hongyuan Zha, Daqi Gao:
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2581-2594 (2018) - [j55]Changsheng Li, Fan Wei, Junchi Yan, Xiaoyu Zhang, Qingshan Liu, Hongyuan Zha:
A Self-Paced Regularization Framework for Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2660-2666 (2018) - [j54]Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. 66(21): 5563-5576 (2018) - [j53]Shunan Guo, Ke Xu, Rongwen Zhao, David Gotz, Hongyuan Zha, Nan Cao:
EventThread: Visual Summarization and Stage Analysis of Event Sequence Data. IEEE Trans. Vis. Comput. Graph. 24(1): 56-65 (2018) - 2017
- [j52]Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017) - [j51]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. J. Mach. Learn. Res. 18: 2:1-2:45 (2017) - [j50]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution. J. Mach. Learn. Res. 18: 41:1-41:49 (2017) - [j49]Qi Fan, Zhe Wang, Dongdong Li, Daqi Gao, Hongyuan Zha:
Entropy-based fuzzy support vector machine for imbalanced datasets. Knowl. Based Syst. 115: 87-99 (2017) - [j48]Qi Fan, Zhe Wang, Hongyuan Zha, Daqi Gao:
MREKLM: A fast multiple empirical kernel learning machine. Pattern Recognit. 61: 197-209 (2017) - [j47]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. 29(1): 157-171 (2017) - [j46]Zhongchen Miao, Kai Chen, Yi Fang, Jianhua He, Yi Zhou, Wenjun Zhang, Hongyuan Zha:
Cost-Effective Online Trending Topic Detection and Popularity Prediction in Microblogging. ACM Trans. Inf. Syst. 35(3): 18:1-18:36 (2017) - 2016
- [j45]Zhongchen Miao, Junchi Yan, Kai Chen, Xiaokang Yang, Hongyuan Zha, Wenjun Zhang:
Joint Prediction of Rating and Popularity for Cold-Start Item by Sentinel User Selection. IEEE Access 4: 8500-8513 (2016) - [j44]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1228-1242 (2016) - [j43]Yi Zhen, Yue Gao, Dit-Yan Yeung, Hongyuan Zha, Xuelong Li:
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval. IEEE Trans. Cybern. 46(1): 27-38 (2016) - [j42]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints. IEEE Trans. Knowl. Data Eng. 28(6): 1518-1531 (2016) - [j41]Manuel Gomez-Rodriguez, Le Song, Nan Du, Hongyuan Zha, Bernhard Schölkopf:
Influence Estimation and Maximization in Continuous-Time Diffusion Networks. ACM Trans. Inf. Syst. 34(2): 9:1-9:33 (2016) - 2015
- [j40]Ya Zhang, Weiyuan Chen, Hongyuan Zha, Xiao Gu:
A Time-Topic Coupled LDA Model for IPTV User Behaviors. IEEE Trans. Broadcast. 61(1): 56-65 (2015) - [j39]Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. IEEE Trans. Image Process. 24(3): 994-1009 (2015) - 2014
- [j38]Longbing Cao, Thorsten Joachims, Can Wang, Éric Gaussier, Jinjiu Li, Yuming Ou, Dan Luo, Reza Zafarani, Huan Liu, Guandong Xu, Zhiang Wu, Gabriella Pasi, Ya Zhang, Xiaokang Yang, Hongyuan Zha, Edoardo Serra, V. S. Subrahmanian:
Behavior Informatics: A New Perspective. IEEE Intell. Syst. 29(4): 62-80 (2014) - [j37]Dixin Luo, Hongteng Xu, Hongyuan Zha, Jun Du, Rong Xie, Xiaokang Yang, Wenjun Zhang:
You Are What You Watch and When You Watch: Inferring Household Structures From IPTV Viewing Data. IEEE Trans. Broadcast. 60(1): 61-72 (2014) - [j36]Zheng Lu, Xiaokang Yang, Weiyao Lin, Hongyuan Zha, Xiaoling Chen:
Inferring User Image-Search Goals Under the Implicit Guidance of Users. IEEE Trans. Circuits Syst. Video Technol. 24(3): 394-406 (2014) - [j35]Ke Zhou, Hongyuan Zha, Yi Chang, Gui-Rong Xue:
Learning the Gain Values and Discount Factors of Discounted Cumulative Gains. IEEE Trans. Knowl. Data Eng. 26(2): 391-404 (2014) - 2013
- [j34]Yi Chang, Anlei Dong, Pranam Kolari, Ruiqiang Zhang, Yoshiyuki Inagaki, Fernando Diaz, Hongyuan Zha, Yan Liu:
Improving recency ranking using twitter data. ACM Trans. Intell. Syst. Technol. 4(1): 4:1-4:24 (2013) - [j33]Zheng Lu, Hongyuan Zha, Xiaokang Yang, Weiyao Lin, Zhaohui Zheng:
A New Algorithm for Inferring User Search Goals with Feedback Sessions. IEEE Trans. Knowl. Data Eng. 25(3): 502-513 (2013) - 2012
- [j32]Zhenyue Zhang, Keke Zhao, Hongyuan Zha:
Inducible regularization for low-rank matrix factorizations for collaborative filtering. Neurocomputing 97: 52-62 (2012) - [j31]Zhenyue Zhang, Jing Wang, Hongyuan Zha:
Adaptive Manifold Learning. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 253-265 (2012) - [j30]Yi Chang, Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Zhaohui Zheng:
Multi-task learning to rank for web search. Pattern Recognit. Lett. 33(2): 173-181 (2012) - [j29]Kai Guo, Xiaokang Yang, Hongyuan Zha, Weiyao Lin, Songyu Yu:
Multiscale Semilocal Interpolation With Antialiasing. IEEE Trans. Image Process. 21(2): 615-625 (2012) - [j28]Weinan Zhang, Dingquan Wang, Gui-Rong Xue, Hongyuan Zha:
Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia. ACM Trans. Intell. Syst. Technol. 3(2): 36:1-36:25 (2012) - [j27]Ke Zhou, Jing Bai, Hongyuan Zha, Gui-Rong Xue:
Leveraging Auxiliary Data for Learning to Rank. ACM Trans. Intell. Syst. Technol. 3(2): 37:1-37:21 (2012) - 2011
- [j26]Xiangmin Jiao, Duo Wang, Hongyuan Zha:
Simple and effective variational optimization of surface and volume triangulations. Eng. Comput. 27(1): 81-94 (2011) - 2009
- [j25]Eugene Agichtein, Evgeniy Gabrilovich, Hongyuan Zha:
The Social Future of Web Search: Modeling, Exploiting, and Searching Collaboratively Generated Content. IEEE Data Eng. Bull. 32(2): 52-61 (2009) - [j24]Hongyuan Zha, Zhenyue Zhang:
Spectral Properties of the Alignment Matrices in Manifold Learning. SIAM Rev. 51(3): 545-566 (2009) - 2007
- [j23]Christophe Croux, Efstratios Gallopoulos, Stefan Van Aelst, Hongyuan Zha:
Machine Learning and Robust Data Mining. Comput. Stat. Data Anal. 52(1): 151-154 (2007) - [j22]Hongyuan Zha, Zhenyue Zhang:
Continuum Isomap for manifold learnings. Comput. Stat. Data Anal. 52(1): 184-200 (2007) - 2006
- [j21]Jesse L. Barlow, Haesun Park, Patrick J. F. Groenen, Hongyuan Zha:
2nd Special issue on matrix computations and statistics. Comput. Stat. Data Anal. 50(1): 1-4 (2006) - [j20]Jia Li, Hongyuan Zha:
Two-way Poisson mixture models for simultaneous document classification and word clustering. Comput. Stat. Data Anal. 50(1): 163-180 (2006) - [j19]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji:
Towards Inferring Protein Interactions: Challenges and Solutions. EURASIP J. Adv. Signal Process. 2006 (2006) - [j18]Ya Zhang, Chao-Hsien Chu, Yixin Chen, Hongyuan Zha, Xiang Ji:
Splice site prediction using support vector machines with a Bayes kernel. Expert Syst. Appl. 30(1): 73-81 (2006) - 2004
- [j17]Zhenyue Zhang, Hongyuan Zha, Horst D. Simon:
Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations. SIAM J. Matrix Anal. Appl. 25(4): 901-920 (2004) - [j16]Chris H. Q. Ding, Hongyuan Zha, Xiaofeng He, Parry Husbands, Horst D. Simon:
Link Analysis: Hubs and Authorities on the World Wide Web. SIAM Rev. 46(2): 256-268 (2004) - [j15]Zhenyue Zhang, Hongyuan Zha:
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment. SIAM J. Sci. Comput. 26(1): 313-338 (2004) - [j14]Ya Zhang, Chao-Hsien Chu, Xiang Ji, Hongyuan Zha:
Correlating summarization of multi-source news with k-way graph bi-clustering. SIGKDD Explor. 6(2): 34-42 (2004) - 2002
- [j13]Jesse L. Barlow, Michael W. Berry, Axel Ruhe, Hongyuan Zha:
Preface. Comput. Stat. Data Anal. 41(1): 1-2 (2002) - [j12]Xiaofeng He, Hongyuan Zha, Chris H. Q. Ding, Horst D. Simon:
Web document clustering using hyperlink structures. Comput. Stat. Data Anal. 41(1): 19-45 (2002) - [j11]Zhenyue Zhang, Hongyuan Zha, Horst D. Simon:
Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis. SIAM J. Matrix Anal. Appl. 23(3): 706-727 (2002) - 2001
- [j10]Zhenyue Zhang, Hongyuan Zha:
Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices. SIAM J. Matrix Anal. Appl. 22(4): 1245-1262 (2001) - 2000
- [j9]Hongyuan Zha, Zhenyue Zhang:
Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing. SIAM J. Matrix Anal. Appl. 21(2): 522-536 (2000) - [j8]Horst D. Simon, Hongyuan Zha:
Low-Rank Matrix Approximation Using the Lanczos Bidiagonalization Process with Applications. SIAM J. Sci. Comput. 21(6): 2257-2274 (2000) - 1999
- [j7]Hongyuan Zha, Horst D. Simon:
On Updating Problems in Latent Semantic Indexing. SIAM J. Sci. Comput. 21(2): 782-791 (1999) - 1998
- [j6]Hongyuan Zha, Zhenyue Zhang:
A Cubically Convergent Parallelizable Method for the Hermitian Eigenvalue Problem. SIAM J. Matrix Anal. Appl. 19(2): 468-486 (1998) - [j5]Jesse L. Barlow, Hongyuan Zha:
Growth in Gaussian Elimination, Orthogonal Matrices, and the 2-Norm. SIAM J. Matrix Anal. Appl. 19(3): 807-815 (1998) - 1996
- [j4]Hongyuan Zha:
Fast algorithms for direction-of-arrival finding using large ESPRIT arrays. Signal Process. 48(2): 111-121 (1996) - 1995
- [j3]Hongyuan Zha:
Comments on Large Least Squares Problems Involving Kronecker Products. SIAM J. Matrix Anal. Appl. 16(4): 1172 (1995) - 1993
- [j2]Sabine Van Huffel, Hongyuan Zha:
An efficient Total Least Squares algorithm based on a rank-revealing two-sided orthogonal decomposition. Numer. Algorithms 4(1): 101-133 (1993) - [j1]Zhaojun Bai, Hongyuan Zha:
A New Preprocessing Algorithm for the Computation of the Generalized Singular Value Decomposition. SIAM J. Sci. Comput. 14(4): 1007-1012 (1993)
Conference and Workshop Papers
- 2024
- [c261]Sikun Yang, Hongyuan Zha:
A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs. AAAI 2024: 16343-16351 - [c260]Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning. AAAI 2024: 20185-20193 - 2023
- [c259]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. AISTATS 2023: 4602-4628 - [c258]Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol:
Reinforcement Learning for Adaptive Mesh Refinement. AISTATS 2023: 5997-6014 - [c257]Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 436-438 - [c256]Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. AAMAS 2023: 819-828 - [c255]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. AAMAS 2023: 2784-2786 - [c254]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model (Extended Abstract). ICDE 2023: 3763-3764 - [c253]Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Hierarchical Diffusion for Offline Decision Making. ICML 2023: 20035-20064 - [c252]Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha:
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML 2023: 20210-20220 - [c251]Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. NeurIPS 2023 - [c250]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. NeurIPS 2023 - [c249]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. NeurIPS 2023 - [c248]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. SDM 2023: 181-189 - [c247]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank matrix recovery with unknown correspondence. UAI 2023: 2111-2122 - 2022
- [c246]Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. AAAI 2022: 9251-9259 - [c245]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. AAMAS 2022: 1436-1445 - [c244]Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha:
Learning Prototype-oriented Set Representations for Meta-Learning. ICLR 2022 - [c243]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition. ICLR 2022 - [c242]Ruilin Li, Hongyuan Zha, Molei Tao:
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. ICLR 2022 - [c241]Ruilin Li, Hongyuan Zha, Molei Tao:
Hessian-Free High-Resolution Nesterov Acceleration For Sampling. ICML 2022: 13125-13162 - [c240]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. ICRA 2022: 10695-10701 - [c239]Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang:
VMAgent: A Practical Virtual Machine Scheduling Platform. IJCAI 2022: 5944-5947 - [c238]Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha:
Self-Training with Differentiable Teacher. NAACL-HLT (Findings) 2022: 933-949 - [c237]Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS 2022 - [c236]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS 2022 - 2021
- [c235]Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. AAAI 2021: 7474-7482 - [c234]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. AAAI 2021: 10505-10513 - [c233]Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang:
Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI 2021: 14463-14471 - [c232]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning. AAMAS 2021: 773-781 - [c231]Shu Liu, Haodong Sun, Hongyuan Zha:
A Particle-Evolving Method for Approximating the Optimal Transport Plan. GSI 2021: 878-887 - [c230]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. ICLR 2021 - [c229]Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour from Aggregate Data. ICML 2021: 7258-7267 - [c228]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha:
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML 2021: 11329-11339 - [c227]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem. KDD 2021: 637-645 - [c226]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Random Noise Defense Against Query-Based Black-Box Attacks. NeurIPS 2021: 7650-7663 - [c225]Qitian Wu, Rui Gao, Hongyuan Zha:
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators. NeurIPS 2021: 11274-11286 - 2020
- [c224]Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. AAAI 2020: 9362-9369 - [c223]Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha:
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI 2020: 9571-9578 - [c222]Jiachen Yang, Igor Borovikov, Hongyuan Zha:
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. AAMAS 2020: 1566-1574 - [c221]Zhi Zhang, Jiachen Yang, Hongyuan Zha:
Integrating Independent and Centralized Multi-agent Reinforcement Learning for Traffic Signal Network Optimization. AAMAS 2020: 2083-2085 - [c220]Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha:
Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. DASFAA (3) 2020: 3-18 - [c219]Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) 2020: 633-649 - [c218]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR 2020 - [c217]Jiachen Yang, Alireza Nakhaei, David Isele, Kikuo Fujimura, Hongyuan Zha:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. ICLR 2020 - [c216]Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol:
Single Episode Policy Transfer in Reinforcement Learning. ICLR 2020 - [c215]Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. ICML 2020: 9603-9613 - [c214]Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha:
Transformer Hawkes Process. ICML 2020: 11692-11702 - [c213]Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha:
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR 2020: 1836-1843 - [c212]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. ICPR 2020: 1859-1866 - [c211]Shushan He, Hongyuan Zha, Xiaojing Ye:
Network Diffusions via Neural Mean-Field Dynamics. NeurIPS 2020 - [c210]Rakshit Trivedi, Hongyuan Zha:
Learning Strategic Network Emergence Games. NeurIPS 2020 - [c209]Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister:
Differentiable Top-k with Optimal Transport. NeurIPS 2020 - [c208]Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha:
Learning to Incentivize Other Learning Agents. NeurIPS 2020 - [c207]Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR 2020: 1449-1458 - [c206]Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha:
Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. WWW 2020: 1785-1795 - [c205]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW 2020: 3056-3062 - 2019
- [c204]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. IEEE BigData 2019: 1125-1130 - [c203]Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao:
Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI 2019: 573 - [c202]Wuchen Li, Shu Liu, Hongyuan Zha, Haomin Zhou:
Parametric Fokker-Planck Equation. GSI 2019: 715-724 - [c201]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. ICDM 2019: 1378-1383 - [c200]Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
DyRep: Learning Representations over Dynamic Graphs. ICLR (Poster) 2019 - [c199]Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha:
On Scalable and Efficient Computation of Large Scale Optimal Transport. DGS@ICLR 2019 - [c198]Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha:
On Scalable and Efficient Computation of Large Scale Optimal Transport. ICML 2019: 6882-6892 - [c197]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. ICML 2019: 6932-6941 - [c196]Xingbo Du, Junchi Yan, Hongyuan Zha:
Joint Link Prediction and Network Alignment via Cross-graph Embedding. IJCAI 2019: 2251-2257 - [c195]Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha:
Meta Learning with Relational Information for Short Sequences. NeurIPS 2019: 9901-9912 - [c194]Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. SIGIR 2019: 765-774 - [c193]Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha:
A Fast Proximal Point Method for Computing Exact Wasserstein Distance. UAI 2019: 433-453 - 2018
- [c192]Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI 2018: 4398-4405 - [c191]Shuai Xiao, Hongteng Xu, Junchi Yan, Mehrdad Farajtabar, Xiaokang Yang, Le Song, Hongyuan Zha:
Learning Conditional Generative Models for Temporal Point Processes. AAAI 2018: 6302-6310 - [c190]Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c189]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning With Open-Set Noisy Labels. CVPR 2018: 8688-8696 - [c188]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Personalized Prescription for Comorbidity. DASFAA (2) 2018: 3-19 - [c187]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Learning Deep Mean Field Games for Modeling Large Population Behavior. ICLR 2018 - [c186]Hongteng Xu, Lawrence Carin, Hongyuan Zha:
Learning Registered Point Processes from Idiosyncratic Observations. ICML 2018: 5439-5448 - [c185]Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha:
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI 2018: 1625-1631 - [c184]Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha:
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. IJCAI 2018: 2948-2954 - [c183]Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha:
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. IJCAI 2018: 3385-3392 - [c182]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. KDD 2018: 2447-2456 - [c181]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD 2018: 2516-2525 - [c180]Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. ICMR 2018: 100-107 - [c179]Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha:
Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. SIGIR 2018: 969-972 - [c178]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. UAI 2018: 83-92 - [c177]Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Sequential Recommendation with User Memory Networks. WSDM 2018: 108-116 - [c176]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. WWW (Companion Volume) 2018: 473-477 - [c175]Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha:
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW 2018: 1277-1286 - 2017
- [c174]Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Hongyuan Zha:
Correlated Cascades: Compete or Cooperate. AAAI 2017: 238-244 - [c173]Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha:
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. AAAI 2017: 1403-1409 - [c172]Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen M. Chu:
On Predictive Patent Valuation: Forecasting Patent Citations and Their Types. AAAI 2017: 1438-1444 - [c171]Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. AAAI 2017: 1495-1501 - [c170]Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen M. Chu:
Modeling the Intensity Function of Point Process Via Recurrent Neural Networks. AAAI 2017: 1597-1603 - [c169]Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. AAAI 2017: 2175-2181 - [c168]Yichen Wang, Xiaojing Ye, Haomin Zhou, Hongyuan Zha, Le Song:
Linking Micro Event History to Macro Prediction in Point Process Models. AISTATS 2017: 1375-1384 - [c167]Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha:
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. BIBM 2017: 595-599 - [c166]Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha:
Glioma grading based on 3D multimodal convolutional neural network and privileged learning. BIBM 2017: 759-763 - [c165]Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM 2017: 398-401 - [c164]Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha:
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR 2017: 3825-3833 - [c163]Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). ICDE 2017: 35-36 - [c162]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE 2017: 37-38 - [c161]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. ICML 2017: 1097-1106 - [c160]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Learning Hawkes Processes from Short Doubly-Censored Event Sequences. ICML 2017: 3831-3840 - [c159]Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. KDD 2017: 847-855 - [c158]Mingxuan Sun, Changbin Li, Hongyuan Zha:
Inferring Private Demographics of New Users in Recommender Systems. MSWiM 2017: 237-244 - [c157]Hongteng Xu, Hongyuan Zha:
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. NIPS 2017: 1354-1363 - [c156]Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song:
Predicting User Activity Level In Point Processes With Mass Transport Equation. NIPS 2017: 1645-1655 - [c155]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Xiaokang Yang, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. NIPS 2017: 3247-3257 - [c154]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Ricardo Baeza-Yates, Hongyuan Zha:
Exploring Query Auto-Completion and Click Logs for Contextual-Aware Web Search and Query Suggestion. WWW 2017: 539-548 - 2016
- [c153]Xin Liu, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Parallel Randomized Block Coordinate Descent for Neural Probabilistic Language Model with High-Dimensional Output Targets. CCPR (2) 2016: 334-348 - [c152]Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha:
Learning Granger Causality for Hawkes Processes. ICML 2016: 1717-1726 - [c151]Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu:
A constrained clustering based approach for matching a collection of feature sets. ICPR 2016: 3832-3837 - [c150]Liangda Li, Hongyuan Zha:
Household Structure Analysis via Hawkes Processes for Enhancing Energy Disaggregation. IJCAI 2016: 2553-2559 - [c149]Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha:
On Modeling and Predicting Individual Paper Citation Count over Time. IJCAI 2016: 2676-2682 - [c148]Junchi Yan, Shuai Xiao, Changsheng Li, Bo Jin, Xiangfeng Wang, Bin Ke, Xiaokang Yang, Hongyuan Zha:
Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior. IJCAI 2016: 2690-2696 - [c147]Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, Xiaokang Yang:
A Short Survey of Recent Advances in Graph Matching. ICMR 2016: 167-174 - [c146]Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha:
Multistage Campaigning in Social Networks. NIPS 2016: 4718-4726 - [c145]Liangda Li, Hongbo Deng, Yunlong He, Anlei Dong, Yi Chang, Hongyuan Zha:
Behavior Driven Topic Transition for Search Task Identification. WWW 2016: 555-565 - 2015
- [c144]Liangda Li, Hongyuan Zha:
Energy Usage Behavior Modeling in Energy Disaggregation via Marked Hawkes Process. AAAI 2015: 672-678 - [c143]Junchi Yan, Chao Zhang, Hongyuan Zha, Min Gong, Changhua Sun, Jin Huang, Stephen M. Chu, Xiaokang Yang:
On Machine Learning towards Predictive Sales Pipeline Analytics. AAAI 2015: 1945-1951 - [c142]Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu:
Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI 2015: 3101-3107 - [c141]Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport:
Active Manifold Learning via Gershgorin Circle Guided Sample Selection. AAAI 2015: 3108-3114 - [c140]Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin:
Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. AAAI 2015: 3203-3209 - [c139]Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-View Point Registration via Alternating Optimization. AAAI 2015: 3834-3840 - [c138]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song:
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS 2015 - [c137]Junchi Yan, Chao Zhang, Hongyuan Zha, Wei Liu, Xiaokang Yang, Stephen M. Chu:
Discrete hyper-graph matching. CVPR 2015: 1520-1528 - [c136]Zhongchen Miao, Kai Chen, Yi Zhou, Hongyuan Zha, Jianhua He, Xiaokang Yang, Wenjun Zhang:
Online trendy topics detection in microblogs with selective user monitoring under cost constraints. ICC 2015: 1194-1200 - [c135]Junchi Yan, Hongteng Xu, Hongyuan Zha, Xiaokang Yang, Huanxi Liu, Stephen M. Chu:
A Matrix Decomposition Perspective to Multiple Graph Matching. ICCV 2015: 199-207 - [c134]Hongteng Xu, Yang Zhou, Weiyao Lin, Hongyuan Zha:
Unsupervised Trajectory Clustering via Adaptive Multi-kernel-Based Shrinkage. ICCV 2015: 4328-4336 - [c133]Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha:
Portfolio Choices with Orthogonal Bandit Learning. IJCAI 2015: 974- - [c132]Hongteng Xu, Yi Zhen, Hongyuan Zha:
Trailer Generation via a Point Process-Based Visual Attractiveness Model. IJCAI 2015: 2198-2204 - [c131]Dixin Luo, Hongteng Xu, Yi Zhen, Xia Ning, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Multi-Task Multi-Dimensional Hawkes Processes for Modeling Event Sequences. IJCAI 2015: 3685-3691 - [c130]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. NIPS 2015: 1954-1962 - [c129]Long Q. Tran, Mehrdad Farajtabar, Le Song, Hongyuan Zha:
NetCodec: Community Detection from Individual Activities. SDM 2015: 91-99 - [c128]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha, Ricardo Baeza-Yates:
Analyzing User's Sequential Behavior in Query Auto-Completion via Markov Processes. SIGIR 2015: 123-132 - [c127]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Yichen Wang, Shuang Li, Hongyuan Zha, Le Song:
Co-evolutionary Dynamics of Information Diffusion and Network Structure. WWW (Companion Volume) 2015: 619-620 - 2014
- [c126]Liangda Li, Hongyuan Zha:
Learning Parametric Models for Social Infectivity in Multi-Dimensional Hawkes Processes. AAAI 2014: 101-107 - [c125]Premkumar Saravanan, Samuel Clarke, Duen Horng (Polo) Chau, Hongyuan Zha:
LatentGesture: active user authentication through background touch analysis. CCHI 2014: 110-113 - [c124]Hongteng Xu, Hongyuan Zha, Mark A. Davenport:
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. CVPR 2014: 3019-3026 - [c123]Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang, Stephen Mingyu Chu:
Graduated Consistency-Regularized Optimization for Multi-graph Matching. ECCV (1) 2014: 407-422 - [c122]Liangda Li, Hongbo Deng, Anlei Dong, Yi Chang, Hongyuan Zha:
Identifying and labeling search tasks via query-based hawkes processes. KDD 2014: 731-740 - [c121]Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song:
Shaping Social Activity by Incentivizing Users. NIPS 2014: 2474-2482 - [c120]Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park:
Understanding and promoting micro-finance activities in Kiva.org. WSDM 2014: 583-592 - [c119]Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park:
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW 2014: 249-260 - 2013
- [c118]Yi Wei, Ke Zhou, Ya Zhang, Hongyuan Zha:
Learning the Hotness of Information Diffusions with Multi-dimensional Hawkes Processes. ADMI 2013: 92-110 - [c117]Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha:
Uncover Topic-Sensitive Information Diffusion Networks. AISTATS 2013: 229-237 - [c116]Ke Zhou, Hongyuan Zha, Le Song:
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes. AISTATS 2013: 641-649 - [c115]Weiyuan Chen, Ya Zhang, Hongyuan Zha:
Mining IPTV user behaviors with a coupled LDA model. BMSB 2013: 1-6 - [c114]Liangda Li, Hongyuan Zha:
Dyadic event attribution in social networks with mixtures of hawkes processes. CIKM 2013: 1667-1672 - [c113]Junchi Yan, Yu Tian, Hongyuan Zha, Xiaokang Yang, Ya Zhang, Stephen M. Chu:
Joint Optimization for Consistent Multiple Graph Matching. ICCV 2013: 1649-1656 - [c112]Hongteng Xu, Hongyuan Zha:
Manifold Based Face Synthesis from Sparse Samples. ICCV 2013: 2208-2215 - [c111]Shuang-Hong Yang, Hongyuan Zha:
Mixture of Mutually Exciting Processes for Viral Diffusion. ICML (2) 2013: 1-9 - [c110]Ke Zhou, Hongyuan Zha, Le Song:
Learning Triggering Kernels for Multi-dimensional Hawkes Processes. ICML (3) 2013: 1301-1309 - [c109]Junchi Yan, Yu Wang, Ke Zhou, Jin Huang, Chunhua Tian, Hongyuan Zha, Weishan Dong:
Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation. IJCAI 2013: 2931-2937 - [c108]Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha:
Scalable Influence Estimation in Continuous-Time Diffusion Networks. NIPS 2013: 3147-3155 - [c107]Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha:
Learning multiple-question decision trees for cold-start recommendation. WSDM 2013: 445-454 - [c106]Kai Chen, Yi Zhou, Hongyuan Zha, Jianhua He, Pei Shen, Xiaokang Yang:
Cost-effective node monitoring for online hot eventdetection in sina weibo microblogging. WWW (Companion Volume) 2013: 107-108 - 2012
- [c105]Thomas Perry, Hongyuan Zha, Matthew Oster, Patricio Frias, Mark L. Braunstein:
Utility of a Clinical Support Tool for Outpatient Evaluation of Pediatric Chest Pain. AMIA 2012 - [c104]Ke Zhou, Xin Li, Hongyuan Zha:
Collaborative ranking: improving the relevance for tail queries. CIKM 2012: 1900-1904 - [c103]Yu Tian, Junchi Yan, Hequan Zhang, Ya Zhang, Xiaokang Yang, Hongyuan Zha:
On the Convergence of Graph Matching: Graduated Assignment Revisited. ECCV (3) 2012: 821-835 - [c102]Ke Zhou, Hongyuan Zha:
Learning binary codes for collaborative filtering. KDD 2012: 498-506 - [c101]Shuang-Hong Yang, Alexander J. Smola, Bo Long, Hongyuan Zha, Yi Chang:
Friend or frenemy?: predicting signed ties in social networks. SIGIR 2012: 555-564 - [c100]Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha:
Inferring user image-search goals by mining query logs with semi-supervised spectral clustering. VCIP 2012: 1-6 - 2011
- [c99]Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng:
Collaborative competitive filtering: learning recommender using context of user choice. SIGIR 2011: 295-304 - [c98]Ke Zhou, Shuang-Hong Yang, Hongyuan Zha:
Functional matrix factorizations for cold-start recommendation. SIGIR 2011: 315-324 - [c97]Zheng Lu, Xiaokang Yang, Weiyao Lin, Xiaoling Chen, Hongyuan Zha:
Inferring users' image-search goals with pseudo-images. VCIP 2011: 1-4 - [c96]Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu:
Video summarization via transferrable structured learning. WWW 2011: 287-296 - [c95]Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha:
Like like alike: joint friendship and interest propagation in social networks. WWW 2011: 537-546 - [c94]Shuang-Hong Yang, Steven P. Crain, Hongyuan Zha:
Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality. AISTATS 2011: 823-831 - 2010
- [c93]Shuang-Hong Yang, Hongyuan Zha:
Language pyramid and multi-scale text analysis. CIKM 2010: 639-648 - [c92]Zhenzhen Kou, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Learning to blend rankings: a monotonic transformation to blend rankings from heterogeneous domains. CIKM 2010: 1921-1924 - [c91]Shuang-Hong Yang, Jiang Bian, Hongyuan Zha:
Hybrid Generative/Discriminative Learning for Automatic Image Annotation. UAI 2010: 683-690 - [c90]Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha:
Ranking with query-dependent loss for web search. WSDM 2010: 141-150 - [c89]Jiang Bian, Xin Li, Fan Li, Zhaohui Zheng, Hongyuan Zha:
Ranking specialization for web search: a divide-and-conquer approach by using topical RankSVM. WWW 2010: 131-140 - [c88]Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Time is of the essence: improving recency ranking using Twitter data. WWW 2010: 331-340 - 2009
- [c87]Jing Bai, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Gordon Sun, Belle L. Tseng, Zhaohui Zheng, Yi Chang:
Multi-task learning for learning to rank in web search. CIKM 2009: 1549-1552 - [c86]Mingrui Wu, Yi Chang, Zhaohui Zheng, Hongyuan Zha:
Smoothing DCG for learning to rank: a novel approach using smoothed hinge functions. CIKM 2009: 1923-1926 - [c85]Kai Guo, Xiaokang Yang, Rui Zhang, Songyu Yu, Hongyuan Zha:
Interpolating fine texturess with fields of experts prior. ICIP 2009: 353-356 - [c84]Bo Xiao, Xiaokang Yang, Yi Xu, Hongyuan Zha:
Learning distance metric for regression by semidefinite programming with application to human age estimation. ACM Multimedia 2009: 451-460 - [c83]Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu:
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora. NIPS 2009: 2143-2150 - [c82]Bo Xiao, Xiaokang Yang, Hongyuan Zha, Yi Xu, Thomas S. Huang:
Metric Learning for Regression Problems and Human Age Estimation. PCM 2009: 88-99 - [c81]Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu:
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. ECML/PKDD (2) 2009: 538-553 - [c80]Shihao Ji, Ke Zhou, Ciya Liao, Zhaohui Zheng, Gui-Rong Xue, Olivier Chapelle, Gordon Sun, Hongyuan Zha:
Global ranking by exploiting user clicks. SIGIR 2009: 35-42 - [c79]Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichtein, Hongyuan Zha:
Learning to recognize reliable users and content in social media with coupled mutual reinforcement. WWW 2009: 51-60 - [c78]Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu:
Enhancing diversity, coverage and balance for summarization through structure learning. WWW 2009: 71-80 - [c77]Congle Zhang, Gui-Rong Xue, Yong Yu, Hongyuan Zha:
Web-scale classification with naive bayes. WWW 2009: 1083-1084 - 2008
- [c76]Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha:
A few bad votes too many?: towards robust ranking in social media. AIRWeb 2008: 53-60 - [c75]Zhaohui Zheng, Hongyuan Zha, Gordon Sun:
Query-level learning to rank using isotonic regression. Allerton 2008: 1108-1115 - [c74]Zhenyue Zhang, Hongyuan Zha, Min Zhang:
Spectral methods for semi-supervised manifold learning. CVPR 2008 - [c73]Erkang Chen, Xiaokang Yang, Hongyuan Zha, Rui Zhang, Wenjun Zhang:
Learning object classes from image thumbnails through deep neural networks. ICASSP 2008: 829-832 - [c72]Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun:
Adapting ranking functions to user preference. ICDE Workshops 2008: 580-587 - [c71]Xiangmin Jiao, Duo Wang, Hongyuan Zha:
Simple and Effective Variational Optimization of Surface and Volume Triangulations. IMR 2008: 315-332 - [c70]Andrew Smith, Xiaoming Huo, Hongyuan Zha:
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm. NIPS 2008: 1529-1536 - [c69]Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu:
Learning to rank with ties. SIGIR 2008: 275-282 - [c68]Steven P. Crain, Jian Huang, Hongyuan Zha:
A scalable assistant librarian: hierarchical subject classification of books. SIGIR 2008: 799-800 - [c67]Xiangmin Jiao, Hongyuan Zha:
Consistent computation of first- and second-order differential quantities for surface meshes. Symposium on Solid and Physical Modeling 2008: 159-170 - [c66]Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles:
Learning multiple graphs for document recommendations. WWW 2008: 141-150 - [c65]Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyuan Zha:
Finding the right facts in the crowd: factoid question answering over social media. WWW 2008: 467-476 - [c64]Ding Zhou, Jiang Bian, Shuyi Zheng, Hongyuan Zha, C. Lee Giles:
Exploring social annotations for information retrieval. WWW 2008: 715-724 - 2007
- [c63]Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction Using the QR Factorization or the Cholesky Factorization. BIBE 2007: 263-269 - [c62]Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha:
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM 2007: 71-77 - [c61]Xiangmin Jiao, Narasimha R. Bayyana, Hongyuan Zha:
Optimizing Surface Triangulation Via Near Isometry with Reference Meshes. International Conference on Computational Science (1) 2007: 334-341 - [c60]Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. Lee Giles:
Co-ranking Authors and Documents in a Heterogeneous Network. ICDM 2007: 739-744 - [c59]Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Discovering Temporal Communities from Social Network Documents. ICDM 2007: 745-750 - [c58]Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, Hongyuan Zha:
Learning User Clicks in Web Search. IJCAI 2007: 1162-1167 - [c57]Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun:
A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS 2007: 1697-1704 - [c56]Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles:
IKNN: Informative K-Nearest Neighbor Pattern Classification. PKDD 2007: 248-264 - [c55]Jen-Chih Huang, Xiangmin Jiao, Richard M. Fujimoto, Hongyuan Zha:
DAG-guided parallel asynchronous variational integrators with super-elements. SCSC 2007: 691-697 - [c54]Xin Yang, Sebastien Michea, Hongyuan Zha:
Conical Dimension as an Intrinsic Dimension Estimator and its Applications. SDM 2007: 169-179 - [c53]Jian Huang, Seyda Ertekin, Yang Song, Hongyuan Zha, C. Lee Giles:
Efficient Multiclass Boosting Classification with Active Learning. SDM 2007: 297-308 - [c52]Hyunsoo Kim, Haesun Park, Hongyuan Zha:
Distance Preserving Dimension Reduction for Manifold Learning. SDM 2007: 527-532 - [c51]Bingjun Sun, Prasenjit Mitra, C. Lee Giles, John Yen, Hongyuan Zha:
Topic segmentation with shared topic detection and alignment of multiple documents. SIGIR 2007: 199-206 - [c50]Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha:
A regression framework for learning ranking functions using relative relevance judgments. SIGIR 2007: 287-294 - 2006
- [c49]Ding Zhou, Xiang Ji, Hongyuan Zha, C. Lee Giles:
Topic evolution and social interactions: how authors effect research. CIKM 2006: 248-257 - [c48]Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun:
Incorporating query difference for learning retrieval functions in world wide web search. CIKM 2006: 307-316 - [c47]Bingjun Sun, Ding Zhou, Hongyuan Zha, John Yen:
Multi-task text segmentation and alignment based on weighted mutual information. CIKM 2006: 846-847 - [c46]Yang Song, Ding Zhou, Jian Huang, Isaac G. Councill, Hongyuan Zha, C. Lee Giles:
Boosting the Feature Space: Text Classification for Unstructured Data on the Web. ICDM 2006: 1064-1069 - [c45]Chris H. Q. Ding, Ding Zhou, Xiaofeng He, Hongyuan Zha:
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization. ICML 2006: 281-288 - [c44]Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlow:
Semi-supervised nonlinear dimensionality reduction. ICML 2006: 1065-1072 - [c43]Hongyuan Zha, Zhaohui Zheng, Haoying Fu, Gordon Sun:
Incorporating query difference for learning retrieval functions in information retrieval. SIGIR 2006: 721-722 - [c42]Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha:
Probabilistic models for discovering e-communities. WWW 2006: 173-182 - 2005
- [c41]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu, Xiang Ji:
Protein Interaction Inference as a MAX-SAT Problem. CVPR Workshops 2005: 146 - [c40]Hongyuan Zha, Zhenyue Zhang:
Spectral analysis of alignment in manifold learning. ICASSP (5) 2005: 1069-1072 - [c39]Haoying Fu, Hongyuan Zha, Jesse L. Barlow:
Efficient Block Noise Removal Based on Nonlinear Manifolds. ICCV 2005: 549-556 - [c38]Ding Zhou, Jia Li, Hongyuan Zha:
A new Mallows distance based metric for comparing clusterings. ICML 2005: 1028-1035 - [c37]Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang:
Towards discovering organizational structure from email corpus. ICMLA 2005 - [c36]Ya Zhang, Hongyuan Zha, Chao-Hsien Chu:
A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes. ITCC (1) 2005: 32-37 - [c35]Hui Han, Hongyuan Zha, C. Lee Giles:
Name disambiguation in author citations using a K-way spectral clustering method. JCDL 2005: 334-343 - [c34]Zhenyue Zhang, Hongyuan Zha:
A Domain Decomposition Method for Fast Manifold Learning. NIPS 2005: 1625-1632 - [c33]Hui Han, Eren Manavoglu, Hongyuan Zha, Kostas Tsioutsiouliklis, C. Lee Giles, Xiangmin Zhang:
Rule-based word clustering for document metadata extraction. SAC 2005: 1049-1053 - [c32]Hui Han, Wei Xu, Hongyuan Zha, C. Lee Giles:
A hierarchical naive Bayes mixture model for name disambiguation in author citations. SAC 2005: 1065-1069 - 2004
- [c31]Gordon Rios, Hongyuan Zha:
Exploring Support Vector Machines and Random Forests for Spam Detection. CEAS 2004 - [c30]Jin Hyeong Park, Zhenyue Zhang, Hongyuan Zha, Rangachar Kasturi:
Local Smoothing for Manifold Learning. CVPR (2) 2004: 452-459 - [c29]Jin Hyeong Park, Hongyuan Zha, Rangachar Kasturi:
Spectral Clustering for Robust Motion Segmentation. ECCV (4) 2004: 390-401 - [c28]Xiang Ji, Hongyuan Zha, John J. Metzner, George Kesidis:
Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks. ICC 2004: 3807-3811 - [c27]Jin Hyeong Park, Xiang Ji, Hongyuan Zha, Rangachar Kasturi:
Support Vector Clustering Combined with Spectral Graph Partitioning. ICPR (4) 2004: 581-584 - [c26]Hui Han, C. Lee Giles, Hongyuan Zha, Cheng Li, Kostas Tsioutsiouliklis:
Two supervised learning approaches for name disambiguation in author citations. JCDL 2004: 296-305 - [c25]Jing Wang, Zhenyue Zhang, Hongyuan Zha:
Adaptive Manifold Learning. NIPS 2004: 1473-1480 - [c24]Bing Li, Hongyuan Zha, Francesca Chiaromonte:
Linear Contour Learning: A Method for Supervised Dimension Reduction. UAI 2004: 346-356 - 2003
- [c23]Xiang Ji, Hongyuan Zha:
Robust sensor localization algorithm in wireless ad-hoc sensor networks. ICCCN 2003: 527-532 - [c22]Hongyuan Zha, Zhenyue Zhang:
Isometric Embedding and Continuum ISOMAP. ICML 2003: 864-871 - [c21]Zhenyue Zhang, Hongyuan Zha:
Nonlinear Dimension Reduction via Local Tangent Space Alignment. IDEAL 2003: 477-481 - [c20]Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zha, Zhenyue Zhang, Edward A. Fox:
Automatic Document Metadata Extraction Using Support Vector Machines. JCDL 2003: 37-48 - [c19]Xiang Ji, Hongyuan Zha:
Extracting Shared Topics of Multiple Documents. PAKDD 2003: 100-110 - [c18]Xiang Ji, Hongyuan Zha:
Correlating Summarization of A Pair of Multilingual Documents. RIDE 2003: 39-46 - [c17]Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon:
PageRank: HITS and a Unified Framework for Link Analysis. SDM 2003: 249-253 - [c16]Xiang Ji, Hongyuan Zha:
Multidimensional scaling based sensor positioning algorithms in wireless sensor networks. SenSys 2003: 328-329 - [c15]Xiang Ji, Hongyuan Zha:
Domain-independent text segmentation using anisotropic diffusion and dynamic programming. SIGIR 2003: 322-329 - [c14]Hui Han, Eren Manavoglu, C. Lee Giles, Hongyuan Zha:
Rule-based word clustering for text classification. SIGIR 2003: 445-446 - 2002
- [c13]Jia Li, Hongyuan Zha:
Simultaneous Classification and Feature Clustering Using Discriminant Vector Quantization with Applications to Microarray Data Analysis. CSB 2002: 246-255 - [c12]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
Adaptive dimension reduction for clustering high dimensional data. ICDM 2002: 147-154 - [c11]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124 - [c10]Hongyuan Zha:
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering. SIGIR 2002: 113-120 - [c9]Chris H. Q. Ding, Xiaofeng He, Parry Husbands, Hongyuan Zha, Horst D. Simon:
PageRank, HITS and a unified framework for link analysis. SIGIR 2002: 353-354 - [c8]Hongyuan Zha, Xiang Ji:
Correlating multilingual documents via bipartite graph modeling. SIGIR 2002: 443-444 - 2001
- [c7]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite Graph Partitioning and Data Clustering. CIKM 2001: 25-32 - [c6]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon:
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering. ICDM 2001: 107-114 - [c5]Xiaofeng He, Chris H. Q. Ding, Hongyuan Zha, Horst D. Simon:
Automatic Topic Identification Using Webpage Clustering. ICDM 2001: 195-202 - [c4]Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha:
A spectral method to separate disconnected and nearly-disconnected web graph components. KDD 2001: 275-280 - [c3]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Spectral Relaxation for K-means Clustering. NIPS 2001: 1057-1064 - 1998
- [c2]Hongyuan Zha, Osni Marques, Horst D. Simon:
Large-Scale SVD and Subspace-Based Methods for Information Retrieval. IRREGULAR 1998: 29-42 - 1996
- [c1]Shang-Sheng Tung, Hongyuan Zha, Thomas F. Keefe:
Indexing Management for Distributed Linear Hash Files. DEXA Workshop 1996: 106-114
Parts in Books or Collections
- 2012
- [p2]Steven P. Crain, Ke Zhou, Shuang-Hong Yang, Hongyuan Zha:
Dimensionality Reduction and Topic Modeling: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond. Mining Text Data 2012: 129-161 - 1993
- [p1]Sabine Van Huffel, Hongyuan Zha:
10 The total least squares problem. Computational Statistics 1993: 377-408
Informal and Other Publications
- 2023
- [i122]Wenhao Li, Xiangfeng Wang, Bo Jin, Jingyi Lu, Hongyuan Zha:
Learning Roles with Emergent Social Value Orientations. CoRR abs/2301.13812 (2023) - [i121]Shaokui Wei, Jiayin Liu, Bing Li, Hongyuan Zha:
Mean Parity Fair Regression in RKHS. CoRR abs/2302.10409 (2023) - [i120]Wenhao Li, Baoxiang Wang, Shanchao Yang, Hongyuan Zha:
Diverse Policy Optimization for Structured Action Space. CoRR abs/2302.11917 (2023) - [i119]Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang, Hongyuan Zha:
Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas. CoRR abs/2305.06227 (2023) - [i118]Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang:
Information Design in Multi-Agent Reinforcement Learning. CoRR abs/2305.06807 (2023) - [i117]Wenhao Li, Dan Qiao, Baoxiang Wang, Xiangfeng Wang, Bo Jin, Hongyuan Zha:
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning. CoRR abs/2305.10865 (2023) - [i116]Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang:
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR abs/2306.05353 (2023) - [i115]Mingli Zhu, Shaokui Wei, Hongyuan Zha, Baoyuan Wu:
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features. CoRR abs/2306.16697 (2023) - [i114]Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu:
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples. CoRR abs/2307.10562 (2023) - [i113]Zichong Li, Qunzhi Xu, Zhenghao Xu, Yajun Mei, Tuo Zhao, Hongyuan Zha:
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification. CoRR abs/2310.16310 (2023) - [i112]Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha:
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR abs/2310.16336 (2023) - [i111]Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang:
Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym. CoRR abs/2312.03290 (2023) - [i110]Sikun Yang, Hongyuan Zha:
Dynamic Latent Graph-Guided Neural Temporal Point Processes. CoRR abs/2312.16083 (2023) - 2022
- [i109]Wenhao Li, Hongjun Chen, Bo Jin, Wenzhe Tan, Hongyuan Zha, Xiangfeng Wang:
Multi-Agent Path Finding with Prioritized Communication Learning. CoRR abs/2202.03634 (2022) - [i108]Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha:
Obtaining Dyadic Fairness by Optimal Transport. CoRR abs/2202.04520 (2022) - [i107]Zhijie Chen, Mingquan Feng, Junchi Yan, Hongyuan Zha:
Learning Neural Hamiltonian Dynamics: A Methodological Overview. CoRR abs/2203.00128 (2022) - [i106]Baoyuan Wu, Hongrui Chen, Mingda Zhang, Zihao Zhu, Shaokui Wei, Danni Yuan, Chao Shen, Hongyuan Zha:
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning. CoRR abs/2206.12654 (2022) - [i105]Hanjie Li, Changsheng Li, Kaituo Feng, Ye Yuan, Guoren Wang, Hongyuan Zha:
Robust Knowledge Adaptation for Dynamic Graph Neural Networks. CoRR abs/2207.10839 (2022) - [i104]Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR abs/2208.02951 (2022) - [i103]Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha:
Differentially Private Estimation of Hawkes Process. CoRR abs/2209.07303 (2022) - [i102]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR abs/2210.04144 (2022) - [i101]Longkang Li, Siyuan Liang, Zihao Zhu, Xiaochun Cao, Chris Ding, Hongyuan Zha, Baoyuan Wu:
Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning. CoRR abs/2210.17178 (2022) - [i100]Sikun Yang, Hongyuan Zha:
Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. CoRR abs/2212.14527 (2022) - 2021
- [i99]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Hawkes Processes on Graphons. CoRR abs/2102.02741 (2021) - [i98]Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou:
Learning High Dimensional Wasserstein Geodesics. CoRR abs/2102.02992 (2021) - [i97]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha:
Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning. CoRR abs/2102.04775 (2021) - [i96]Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha:
Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition. CoRR abs/2102.10616 (2021) - [i95]Jiachen Yang, Tarik Dzanic, Brenden K. Petersen, Jun Kudo, Ketan Mittal, Vladimir Z. Tomov, Jean-Sylvain Camier, Tuo Zhao, Hongyuan Zha, Tzanio V. Kolev, Robert W. Anderson, Daniel M. Faissol:
Reinforcement Learning for Adaptive Mesh Refinement. CoRR abs/2103.01342 (2021) - [i94]Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang:
Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR abs/2103.03583 (2021) - [i93]Shaojun Ma, Haomin Zhou, Hongyuan Zha:
Mean Field Game GAN. CoRR abs/2103.07855 (2021) - [i92]Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu:
Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks. CoRR abs/2104.11470 (2021) - [i91]Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha:
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach. CoRR abs/2105.08268 (2021) - [i90]Shushan He, Hongyuan Zha, Xiaojing Ye:
Influence Estimation and Maximization via Neural Mean-Field Dynamics. CoRR abs/2106.02608 (2021) - [i89]Ruilin Li, Hongyuan Zha, Molei Tao:
Sqrt(d) Dimension Dependence of Langevin Monte Carlo. CoRR abs/2109.03839 (2021) - [i88]Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha:
Self-Training with Differentiable Teacher. CoRR abs/2109.07049 (2021) - [i87]Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha:
Low-rank Matrix Recovery With Unknown Correspondence. CoRR abs/2110.07959 (2021) - [i86]Shanchao Yang, Kaili Ma, Baoxiang Wang, Hongyuan Zha:
Edge Rewiring Goes Neural: Boosting Network Resilience via Policy Gradient. CoRR abs/2110.09035 (2021) - [i85]Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha:
Learning Prototype-oriented Set Representations for Meta-Learning. CoRR abs/2110.09140 (2021) - [i84]Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang:
VMAgent: Scheduling Simulator for Reinforcement Learning. CoRR abs/2112.04785 (2021) - [i83]Jiachen Yang, Ethan Wang, Rakshit Trivedi, Tuo Zhao, Hongyuan Zha:
Adaptive Incentive Design with Multi-Agent Meta-Gradient Reinforcement Learning. CoRR abs/2112.10859 (2021) - 2020
- [i82]Qianming Xue, Wei Zhang, Hongyuan Zha:
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. CoRR abs/2002.00119 (2020) - [i81]Shaojun Ma, Shu Liu, Hongyuan Zha, Haomin Zhou:
Learning Stochastic Behaviour of Aggregate Data. CoRR abs/2002.03513 (2020) - [i80]Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao:
Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. CoRR abs/2002.03938 (2020) - [i79]Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR abs/2002.04235 (2020) - [i78]Yun Hua, Xiangfeng Wang, Bo Jin, Wenhao Li, Junchi Yan, Xiaofeng He, Hongyuan Zha:
Hyper-Meta Reinforcement Learning with Sparse Reward. CoRR abs/2002.04238 (2020) - [i77]Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister:
Differentiable Top-k Operator with Optimal Transport. CoRR abs/2002.06504 (2020) - [i76]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR abs/2002.07993 (2020) - [i75]Ruilin Li, Xin Wang, Hongyuan Zha, Molei Tao:
Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients. CoRR abs/2002.08949 (2020) - [i74]Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha:
Transformer Hawkes Process. CoRR abs/2002.09291 (2020) - [i73]Haodong Sun, Haomin Zhou, Hongyuan Zha, Xiaojing Ye:
Learning Cost Functions for Optimal Transport. CoRR abs/2002.09650 (2020) - [i72]Shu Liu, Wuchen Li, Hongyuan Zha, Haomin Zhou:
Neural Parametric Fokker-Planck Equations. CoRR abs/2002.11309 (2020) - [i71]Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning. CoRR abs/2004.11145 (2020) - [i70]Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha:
Learning to Incentivize Other Learning Agents. CoRR abs/2006.06051 (2020) - [i69]Ruilin Li, Hongyuan Zha, Molei Tao:
Hessian-Free High-Resolution Nesterov Acceleration for Sampling. CoRR abs/2006.09230 (2020) - [i68]Shushan He, Hongyuan Zha, Xiaojing Ye:
Network Diffusions via Neural Mean-Field Dynamics. CoRR abs/2006.09449 (2020) - [i67]Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification. CoRR abs/2006.15763 (2020) - [i66]Rakshit Trivedi, Jiachen Yang, Hongyuan Zha:
GraphOpt: Learning Optimization Models of Graph Formation. CoRR abs/2007.03619 (2020) - [i65]Qitian Wu, Hengrui Zhang, Hongyuan Zha:
Inductive Relational Matrix Completion. CoRR abs/2007.04833 (2020) - [i64]Jie Wang, Rui Gao, Hongyuan Zha:
Reliable Off-policy Evaluation for Reinforcement Learning. CoRR abs/2011.04102 (2020) - [i63]Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha:
A Hypergradient Approach to Robust Regression without Correspondence. CoRR abs/2012.00123 (2020) - [i62]Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. CoRR abs/2012.05644 (2020) - [i61]Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. CoRR abs/2012.10658 (2020) - 2019
- [i60]Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin:
Gromov-Wasserstein Learning for Graph Matching and Node Embedding. CoRR abs/1901.06003 (2019) - [i59]Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha:
On Scalable and Efficient Computation of Large Scale Optimal Transport. CoRR abs/1905.00158 (2019) - [i58]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR abs/1905.12345 (2019) - [i57]Shunan Guo, Zhuochen Jin, Qing Chen, David Gotz, Hongyuan Zha, Nan Cao:
Visual Anomaly Detection in Event Sequence Data. CoRR abs/1906.10896 (2019) - [i56]Weichang Wu, Huanxi Liu, Xiaohu Zhang, Yu Liu, Hongyuan Zha:
Modeling Event Propagation via Graph Biased Temporal Point Process. CoRR abs/1908.01623 (2019) - [i55]Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha:
Meta Learning with Relational Information for Short Sequences. CoRR abs/1909.02105 (2019) - [i54]Zhi Zhang, Jiachen Yang, Hongyuan Zha:
Integrating independent and centralized multi-agent reinforcement learning for traffic signal network optimization. CoRR abs/1909.10651 (2019) - [i53]Qitian Wu, Rui Gao, Hongyuan Zha:
Stein Bridging: Enabling Mutual Reinforcement between Explicit and Implicit Generative Models. CoRR abs/1909.13035 (2019) - [i52]Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. CoRR abs/1910.01784 (2019) - [i51]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. CoRR abs/1910.04849 (2019) - [i50]Jiachen Yang, Brenden K. Petersen, Hongyuan Zha, Daniel M. Faissol:
Single Episode Policy Transfer in Reinforcement Learning. CoRR abs/1910.07719 (2019) - [i49]Junjie Wang, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenjie Zhang, Hongyuan Zha:
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning. CoRR abs/1911.09046 (2019) - [i48]Jiachen Yang, Igor Borovikov, Hongyuan Zha:
Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery. CoRR abs/1912.03558 (2019) - 2018
- [i47]Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
tau-FPL: Tolerance-Constrained Learning in Linear Time. CoRR abs/1801.04701 (2018) - [i46]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR abs/1801.06805 (2018) - [i45]Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, Hongyuan Zha:
Visually Explainable Recommendation. CoRR abs/1801.10288 (2018) - [i44]Ruilin Li, Xiaojing Ye, Haomin Zhou, Hongyuan Zha:
Learning to Recommend via Inverse Optimal Matching. CoRR abs/1802.03644 (2018) - [i43]Yujia Xie, Xiangfeng Wang, Ruijia Wang, Hongyuan Zha:
A Fast Proximal Point Method for Wasserstein Distance. CoRR abs/1802.04307 (2018) - [i42]Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha:
Representation Learning over Dynamic Graphs. CoRR abs/1803.04051 (2018) - [i41]Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia:
Iterative Learning with Open-set Noisy Labels. CoRR abs/1804.00092 (2018) - [i40]Yichen Wang, Le Song, Hongyuan Zha:
Learning to Optimize via Wasserstein Deep Inverse Optimal Control. CoRR abs/1805.08395 (2018) - [i39]Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha:
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. CoRR abs/1807.01473 (2018) - [i38]Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha:
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data. CoRR abs/1807.08237 (2018) - [i37]Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR abs/1807.08447 (2018) - [i36]Jiachen Yang, Alireza Nakhaei, David Isele, Hongyuan Zha, Kikuo Fujimura:
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. CoRR abs/1809.05188 (2018) - 2017
- [i35]Hongteng Xu, Hongyuan Zha:
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering. CoRR abs/1701.09177 (2017) - [i34]Zhibin Niu, Dawei Cheng, Junchi Yan, Jiawan Zhang, Liqing Zhang, Hongyuan Zha:
A hybrid approach for risk assessment of loan guarantee network. CoRR abs/1702.04642 (2017) - [i33]Hongteng Xu, Dixin Luo, Hongyuan Zha:
Learning Hawkes Processes from Short Doubly-Censored Event Sequences. CoRR abs/1702.07013 (2017) - [i32]Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee:
Recurrent Poisson Factorization for Temporal Recommendation. CoRR abs/1703.01442 (2017) - [i31]Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha:
Fake News Mitigation via Point Process Based Intervention. CoRR abs/1703.07823 (2017) - [i30]Shuai Xiao, Junchi Yan, Mehrdad Farajtabar, Le Song, Xiaokang Yang, Hongyuan Zha:
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks. CoRR abs/1703.08524 (2017) - [i29]Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. CoRR abs/1704.03718 (2017) - [i28]Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye, Junchi Yan, Le Song, Hongyuan Zha:
Wasserstein Learning of Deep Generative Point Process Models. CoRR abs/1705.08051 (2017) - [i27]Shuai Xiao, Junchi Yan, Stephen M. Chu, Xiaokang Yang, Hongyuan Zha:
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks. CoRR abs/1705.08982 (2017) - [i26]Hongteng Xu, Hongyuan Zha:
THAP: A Matlab Toolkit for Learning with Hawkes Processes. CoRR abs/1708.09252 (2017) - [i25]Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
Active manifold learning via a unified framework for manifold landmarking. CoRR abs/1710.09334 (2017) - [i24]Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha:
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations. CoRR abs/1711.03156 (2017) - [i23]Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha:
Hawkes Processes for Invasive Species Modeling and Management. CoRR abs/1712.04386 (2017) - 2016
- [i22]Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha:
Learning Granger Causality for Hawkes Processes. CoRR abs/1602.04511 (2016) - [i21]Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR abs/1602.05112 (2016) - [i20]Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha:
A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR abs/1603.06036 (2016) - [i19]Changsheng Li, Fan Wei, Junchi Yan, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. CoRR abs/1604.01474 (2016) - [i18]Junchi Yan, Zhe Ren, Hongyuan Zha, Stephen M. Chu:
A constrained clustering based approach for matching a collection of feature sets. CoRR abs/1606.03731 (2016) - [i17]Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati, Le Song, Hongyuan Zha:
Multistage Campaigning in Social Networks. CoRR abs/1606.03816 (2016) - [i16]Nan Du, Yingyu Liang, Maria-Florina Balcan, Manuel Gomez-Rodriguez, Hongyuan Zha, Le Song:
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks. CoRR abs/1612.02712 (2016) - 2015
- [i15]Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Nan Du, Mohammad Zamani, Hongyuan Zha, Le Song:
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. CoRR abs/1501.06582 (2015) - [i14]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. CoRR abs/1502.05840 (2015) - [i13]Changsheng Li, Xiangfeng Wang, Weishan Dong, Junchi Yan, Qingshan Liu, Hongyuan Zha:
Active Sample Learning and Feature Selection: A Unified Approach. CoRR abs/1503.01239 (2015) - [i12]Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-Rodriguez, Shuang Li, Hongyuan Zha, Le Song:
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution. CoRR abs/1507.02293 (2015) - [i11]Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid R. Rabiee, Le Song, Hongyuan Zha:
Correlated Cascades: Compete or Cooperate. CoRR abs/1510.00936 (2015) - [i10]Mehrdad Farajtabar, Safoora Yousefi, Long Q. Tran, Le Song, Hongyuan Zha:
A Continuous-time Mutually-Exciting Point Process Framework for Prioritizing Events in Social Media. CoRR abs/1511.04145 (2015) - [i9]Shui-Nee Chow, Xiaojing Ye, Hongyuan Zha, Haomin Zhou:
Influence Prediction for Continuous-Time Information Propagation on Networks. CoRR abs/1512.05417 (2015) - 2014
- [i8]Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song:
Shaping Social Activity by Incentivizing Users. CoRR abs/1408.0406 (2014) - [i7]Bing Li, Hongyuan Zha, Francesca Chiaromonte:
Linear Contour Learning: A Method for Supervised Dimension Reduction. CoRR abs/1408.3359 (2014) - 2013
- [i6]Nan Du, Le Song, Manuel Gomez-Rodriguez, Hongyuan Zha:
Scalable Influence Estimation in Continuous-Time Diffusion Networks. CoRR abs/1311.3669 (2013) - 2012
- [i5]Shuang-Hong Yang, Jiang Bian, Hongyuan Zha:
Hybrid Generative/Discriminative Learning for Automatic Image Annotation. CoRR abs/1203.3530 (2012) - [i4]Thomas Perry, Hongyuan Zha, Patricio Frias, Dadan Zeng, Mark L. Braunstein:
Supervised Laplacian Eigenmaps with Applications in Clinical Diagnostics for Pediatric Cardiology. CoRR abs/1207.7035 (2012) - [i3]Ke Zhou, Hongyuan Zha, Gui-Rong Xue, Yong Yu:
Learning the Gain Values and Discount Factors of DCG. CoRR abs/1212.5650 (2012) - 2002
- [i2]Zhenyue Zhang, Hongyuan Zha:
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment. CoRR cs.LG/0212008 (2002) - 2001
- [i1]Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon:
Bipartite graph partitioning and data clustering. CoRR cs.IR/0108018 (2001)
Coauthor Index
Stephen M. Chu
aka: Stephen Mingyu Chu
aka: Stephen Mingyu Chu
Chris Ding
aka: Chris H. Q. Ding
aka: Chris H. Q. Ding
[j81] [j77] [j73] [j72] [j69] [j68] [j64] [j63] [j60] [j59] [j55] [j45] [j44] [j39] [c257] [c254] [c228] [c227] [c219] [c212] [c196] [c192] [c191] [c185] [c184] [c181] [c180] [c172] [c171] [c170] [c169] [c165] [c164] [c155] [c153] [c151] [c149] [c148] [c147] [c143] [c139] [c137] [c135] [c123] [c113] [c109] [c103] [i107] [i79] [i78] [i71] [i58] [i49] [i47] [i46] [i34] [i30] [i29] [i28] [i27] [i20] [i19] [i18] [i14] [i13]
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