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ORCIDYi Chang 0001
Person information
- affiliation: Jilin University, China
- affiliation (former): Huawei Research America
- affiliation (former): Yahoo Research
Other persons with the same name
- Yi Chang — disambiguation page
- Yi Chang 0002
![[0000-0001-8542-5937]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8542-5937")
— Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China - Yi Chang 0003 — National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan
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2020 – today
- 2023
[j35]Yixiang Shan, Jielong Yang, Xiangtao Li, Xionghu Zhong, Yi Chang:
GLAE: A graph-learnable auto-encoder for single-cell RNA-seq analysis. Inf. Sci. 621: 88-103 (2023)- [j34]Yanchi Su, Haoran Zhu, Ka-Chun Wong, Yi Chang, Xiangtao Li:
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery. IEEE Trans. Cybern. 53(5): 2753-2766 (2023) - [i44]Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Yi Chang, Ivor W. Tsang, Yew-Soon Ong:
Policy Dispersion in Non-Markovian Environment. CoRR abs/2302.14509 (2023) - 2022
- [j33]Linlin You, Sheng Liu, Yi Chang, Chau Yuen:
A Triple-Step Asynchronous Federated Learning Mechanism for Client Activation, Interaction Optimization, and Aggregation Enhancement. IEEE Internet Things J. 9(23): 24199-24211 (2022) - [j32]Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang:
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification. IEEE Trans. Cybern. 52(10): 11027-11040 (2022) - [j31]Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang:
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(11): 5126-5139 (2022) - [j30]Jiashu Zhao, Jimmy Xiangji Huang, Hongbo Deng, Yi Chang, Long Xia:
Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization. ACM Trans. Inf. Syst. 40(3): 51:1-51:24 (2022) - [c139]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. AAAI 2022: 3996-4004 - [c138]Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang:
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. COLING 2022: 2608-2621 - [c137]Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang:
Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. ECCV Workshops (6) 2022: 658-671 - [c136]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. EMNLP 2022: 4746-4758 - [c135]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. EMNLP 2022: 4937-4948 - [c134]Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang:
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. AACL/IJCNLP (1) 2022: 240-253 - [c133]Qiang Huang, Jing Ma, Jundong Li, Huiyan Sun, Yi Chang:
SemiITE: Semi-supervised Individual Treatment Effect Estimation via Disagreement-Based Co-training. ECML/PKDD (4) 2022: 400-417 - [i43]Yuanbo Xu, En Wang, Yongjian Yang, Yi Chang:
A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems. CoRR abs/2205.09670 (2022) - [i42]Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Jielong Yang, Haiyin Piao, Zhixiao Sun, Bei Jiang, Yi Chang:
Sigmoidally Preconditioned Off-policy Learning: a new exploration method for reinforcement learning. CoRR abs/2205.10047 (2022) - [i41]Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang:
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection. CoRR abs/2209.14642 (2022) - [i40]Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR abs/2210.07636 (2022) - [i39]Erxin Yu, Lan Du, Yuan Jin, Zhepei Wei, Yi Chang:
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables. CoRR abs/2211.03616 (2022) - [i38]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification. CoRR abs/2212.05506 (2022) - 2021
- [j29]Shang Wang, Zhiwei Yang, Yi Chang:
Bringing order to episodes: Mining timeline in social media. Neurocomputing 450: 80-90 (2021) - [j28]Tung-Yao Hsu, Yi Chang, Ming-An Lee, Ren-Fen Wu, Shih-Chun Hsiao:
Predicting Skipjack Tuna Fishing Grounds in the Western and Central Pacific Ocean Based on High-Spatial-Temporal-Resolution Satellite Data. Remote. Sens. 13(5): 861 (2021) - [c132]Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang:
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition. EMNLP (Findings) 2021: 124-132 - [c131]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. EMNLP (Findings) 2021: 3002-3012 - [c130]Xia Yang, Meng-Fen Chiang, Wang-Chien Lee, Yi Chang:
Cost-Effective Knowledge Graph Reasoning for Complex Factoid Questions. IJCNN 2021: 1-8 - [c129]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR 2021: 275-284 - [c128]Xinwei Wu, Hechang Chen, Jiashu Zhao, Li He, Dawei Yin, Yi Chang:
Unbiased Learning to Rank in Feeds Recommendation. WSDM 2021: 490-498 - [c127]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang:
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. WWW 2021: 1737-1748 - [c126]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. WWW 2021: 2466-2475 - [i37]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR abs/2101.11206 (2021) - [i36]Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. CoRR abs/2102.10934 (2021) - [i35]Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang:
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR abs/2105.13623 (2021) - [i34]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction. CoRR abs/2109.02403 (2021) - [i33]Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang:
Orthogonal Graph Neural Networks. CoRR abs/2109.11338 (2021) - [i32]Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang:
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR abs/2110.14855 (2021) - [i31]Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang:
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR abs/2111.12776 (2021) - [i30]Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR abs/2111.12791 (2021) - 2020
- [j27]Suthee Chaidaroon, Dae Hoon Park, Yi Chang, Yi Fang:
node2hash: Graph aware deep semantic text hashing. Inf. Process. Manag. 57(6): 102143 (2020) - [c125]Qiang Huang, Tingyu Xia, Huiyan Sun, Makoto Yamada, Yi Chang:
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks. AAAI 2020: 4182-4189 - [c124]Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang:
Learning Signed Network Embedding via Graph Attention. AAAI 2020: 4772-4779 - [c123]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL 2020: 1476-1488 - [c122]Erxin Yu, Wenjuan Han, Yuan Tian, Yi Chang:
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction. COLING 2020: 1665-1676 - [c121]Erxin Yu, Yantao Jia, Shang Wang, Fengfu Li, Yi Chang:
Context and Type Enhanced Representation Learning for Relation Extraction. ICKG 2020: 329-335 - [c120]Erxin Yu, Yantao Jia, Yuan Tian, Yi Chang:
A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. ICKG 2020: 367-373 - [c119]Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. ICDE 2020: 841-852 - [c118]Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang:
Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM 2020: 452-461 - [c117]Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang:
Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI 2020: 3594-3600 - [c116]Sili Huang, Bo Yang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang:
MA-TREX: Mutli-agent Trajectory-Ranked Reward Extrapolation via Inverse Reinforcement Learning. KSEM (2) 2020: 3-14 - [c115]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS 2020 - [e5]Jimmy X. Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu:
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020. ACM 2020, ISBN 978-1-4503-8016-4 [contents] - [i29]Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Dawei Yin, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. CoRR abs/2001.06216 (2020) - [i28]Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Yi Chang:
Semantic Triple Encoder for Fast Open-Set Link Prediction. CoRR abs/2004.14781 (2020) - [i27]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR abs/2010.08830 (2020)
2010 – 2019
- 2019
- [c114]Hongyang Jiang, Qiang Huang, Liang Chen, Zhi Li, Ying Xu, Huiyan Sun, Yi Chang:
Multi-Classification of Cancer Samples Based on Co-Expression Analyses. BIBM 2019: 197-201 - [c113]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c112]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CIKM 2019: 1643-1652 - [c111]Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang:
Vectors of Pairwise Item Preferences. ECIR (1) 2019: 323-336 - [c110]Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang:
Learning Network Embedding with Community Structural Information. IJCAI 2019: 2937-2943 - [c109]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning. NFMCP@PKDD/ECML 2019: 100-115 - [c108]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. WWW 2019: 1443-1453 - [i26]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CoRR abs/1903.00562 (2019) - [i25]Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. CoRR abs/1908.05604 (2019) - [i24]Zhepei Wei, Yantao Jia, Yuan Tian, Mohammad Javad Hosseini, Mark Steedman, Yi Chang:
Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. CoRR abs/1908.08672 (2019) - [i23]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. CoRR abs/1908.10606 (2019) - [i22]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR abs/1909.03227 (2019) - [i21]Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu:
Self-paced Ensemble for Highly Imbalanced Massive Data Classification. CoRR abs/1909.03500 (2019) - [i20]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - 2018
- [j26]Wenfei Cao, Yi Chang, Guodong Han, Junbing Li:
Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation. IEEE Geosci. Remote. Sens. Lett. 15(6): 848-852 (2018) - [j25]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [j24]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c107]Shuai Wang, Sahisnu Mazumder, Bing Liu, Mianwei Zhou, Yi Chang:
Target-Sensitive Memory Networks for Aspect Sentiment Classification. ACL (1) 2018: 957-967 - [c106]Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang:
Document Modeling with External Attention for Sentence Extraction. ACL (1) 2018: 2020-2030 - [c105]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c104]Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai:
JIM: Joint Influence Modeling for Collective Search Behavior. CIKM 2018: 637-646 - [c103]Chao-Lin Liu, Yi Chang:
Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty. DH 2018: 231-234 - [c102]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. EMNLP 2018: 3090-3099 - [c101]Fuad Issa, Marco Damonte, Shay B. Cohen, Xiaohui Yan, Yi Chang:
Abstract Meaning Representation for Paraphrase Detection. NAACL-HLT 2018: 442-452 - [c100]Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang:
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW 2018: 1623-1632 - [c99]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. WWW 2018: 1643-1652 - [e4]Yi Chang, Chengxiang Zhai, Yan Liu, Yoelle Maarek:
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM 2018, ISBN 978-1-4503-5581-0 [contents] - [i19]Shuai Wang, Mianwei Zhou, Geli Fei, Yi Chang, Bing Liu:
Contextual and Position-Aware Factorization Machines for Sentiment Classification. CoRR abs/1801.06172 (2018) - [i18]Shuai Wang, Mianwei Zhou, Sahisnu Mazumder, Bing Liu, Yi Chang:
Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning. CoRR abs/1802.05818 (2018) - [i17]Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. CoRR abs/1809.00385 (2018) - [i16]Chiu Man Ho, Dae Hoon Park, Wei Yang, Yi Chang:
Sequenced-Replacement Sampling for Deep Learning. CoRR abs/1810.08322 (2018) - [i15]Dae Hoon Park, Yi Chang:
Adversarial Sampling and Training for Semi-Supervised Information Retrieval. CoRR abs/1811.04155 (2018) - [i14]Dae Hoon Park, Chiu Man Ho, Yi Chang, Huaqing Zhang:
Gradient-Coherent Strong Regularization for Deep Neural Networks. CoRR abs/1811.08056 (2018) - 2017
- [j23]Yiqun Liu, Jian-Yun Nie, Yi Chang:
Constructing click models for search users. Inf. Retr. J. 20(1): 1-3 (2017) - [j22]Yuening Hu, Changsung Kang, Jiliang Tang, Dawei Yin, Yi Chang:
Large-Scale Location Prediction for Web Pages. IEEE Trans. Knowl. Data Eng. 29(9): 1902-1915 (2017) - [j21]Yingfei Wang, Hua Ouyang, Hongbo Deng, Yi Chang:
Learning Online Trends for Interactive Query Auto-Completion. IEEE Trans. Knowl. Data Eng. 29(11): 2442-2454 (2017) - [j20]Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang:
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Trans. Inf. Syst. 35(4): 29:1-29:17 (2017) - [c98]Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang:
Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation. AAAI 2017: 2746-2753 - [c97]Peilin Yang, Mianwei Zhou, Yi Chang, Chengxiang Zhai, Hui Fang:
Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets. AIRS 2017: 210-221 - [c96]Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin:
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS 2017: 316-324 - [c95]Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu:
Connecting emerging relationships from news via tensor factorization. IEEE BigData 2017: 1223-1232 - [c94]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CIKM 2017: 387-396 - [c93]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c92]Tung-Yao Hsu, Yi Chang:
Modeling the habitat suitability index of skipjack tuna (katsuwonus pelamis) in the western and central pacific ocean. IGARSS 2017: 2950-2953 - [c91]Jen-Han Yang, Yi Chang:
Feasibility study of RFID-Mounted drone application in management of oyster farms. IGARSS 2017: 3610-3613 - [c90]Chuancong Gao, Jian Pei, Jiannan Wang, Yi Chang:
Schemaless Join for Result Set Preferences. IRI 2017: 569-578 - [c89]Makoto Yamada, Wenzhao Lian, Amit Goyal, Jianhui Chen, Kishan Wimalawarne, Suleiman A. Khan, Samuel Kaski, Hiroshi Mamitsuka, Yi Chang:
Convex Factorization Machine for Toxicogenomics Prediction. KDD 2017: 1215-1224 - [c88]Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu:
Signed Network Embedding in Social Media. SDM 2017: 327-335 - [c87]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven similarity join. WI 2017: 97-105 - [c86]Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. WSDM 2017: 121-130 - [c85]Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. WSDM 2017: 131-139 - [c84]Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang:
Understanding and Discovering Deliberate Self-harm Content in Social Media. WWW 2017: 93-102 - [c83]Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Streaming Recommender Systems. WWW 2017: 381-389 - [c82]Shubhra Kanti Karmaker Santu, Liangda Li, Dae Hoon Park, Yi Chang, ChengXiang Zhai:
Modeling the Influence of Popular Trending Events on User Search Behavior. WWW (Companion Volume) 2017: 535-544 - [c81]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 - [i13]Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu:
Understanding and Predicting Delay in Reciprocal Relations. CoRR abs/1703.01393 (2017) - [i12]Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu:
Attributed Network Embedding for Learning in a Dynamic Environment. CoRR abs/1706.01860 (2017) - [i11]Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang:
Preference-driven Similarity Join. CoRR abs/1706.04266 (2017) - 2016
- [j19]Jiliang Tang, Yi Chang, Charu C. Aggarwal, Huan Liu:
A Survey of Signed Network Mining in Social Media. ACM Comput. Surv. 49(3): 42:1-42:37 (2016) - [j18]Yi Chang, Makoto Yamada, Antonio Ortega, Yan Liu:
Lifecycle Modeling for Buzz Temporal Pattern Discovery. ACM Trans. Knowl. Discov. Data 11(2): 20:1-20:24 (2016) - [c80]