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2020 – today
- 2020
[j26]Bin Liu
, Mingyu Wu, Minze Tao, Qin Wang, Luye He, Guoliang Shen, Kai Chen, Junchi Yan:
Video Content Analysis for Compliance Audit in Finance and Security Industry. IEEE Access 8: 117888-117899 (2020)- [j25]Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing motion patterns and key visual information for semantic event recognition in basketball videos. Neurocomputing 413: 217-229 (2020) - [j24]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) - [j23]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) - [c94]Tianzhe Wang, Zetian Jiang, Junchi Yan:
Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition. AAAI 2020: 1660-1667 - [c93]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c92]Tianshu Yu, Junchi Yan, Baoxin Li:
Determinant Regularization for Gradient-Efficient Graph Matching. CVPR 2020: 7121-7130 - [c91]Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao:
Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR 2020: 10245-10253 - [c90]Zixuan Chen, Zhihui Xie, Junchi Yan, Yinqiang Zheng, Xiaokang Yang:
Layered Neighborhood Expansion for Incremental Multiple Graph Matching. ECCV (10) 2020: 251-267 - [c89]Ning Zhang, Junchi Yan:
Rethinking the Defocus Blur Detection Problem and a Real-Time Deep DBD Model. ECCV (10) 2020: 617-632 - [c88]Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung:
Discriminative Partial Domain Adversarial Network. ECCV (27) 2020: 632-648 - [c87]Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha:
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. ECCV (10) 2020: 633-649 - [c86]Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. ECCV (8) 2020: 677-694 - [c85]Yijun Wang, Changzhi Sun, Yuanbin Wu, Junchi Yan, Peng Gao, Guotong Xie:
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information. EMNLP (1) 2020: 1692-1705 - [c84]Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li:
Learning deep graph matching with channel-independent embedding and Hungarian attention. ICLR 2020 - [c83]Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun:
MergeNAS: Merge Operations into One for Differentiable Architecture Search. IJCAI 2020: 3065-3072 - [c82]Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI 2020: 4988-4996 - [c81]Guolong Wang, Zheng Qin, Junchi Yan, Liu Jiang:
Learning to Select Elements for Graphic Design. ICMR 2020: 91-99 - [i45]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) - [i44]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) - [i43]Xue Yang, Junchi Yan:
Arbitrary-Oriented Object Detection with Circular Smooth Label. CoRR abs/2003.05597 (2020) - [i42]Yiren Li, Zheng Huang, Junchi Yan, Yi Zhou, Fan Ye, Xianhui Liu:
GFTE: Graph-based Financial Table Extraction. CoRR abs/2003.07560 (2020) - [i41]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) - [i40]Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. CoRR abs/2004.13316 (2020) - [i39]Zhongpai Gao, Guangtao Zhai, Junchi Yan, Xiaokang Yang:
PAI-Conv: Permutable Anisotropic Convolutional Networks for Learning on Point Clouds. CoRR abs/2005.13135 (2020) - [i38]Lifang Wu, Zhou Yang, Qi Wang, Meng Jian, Boxuan Zhao, Junchi Yan, Chang Wen Chen:
Fusing Motion Patterns and Key Visual Information for Semantic Event Recognition in Basketball Videos. CoRR abs/2007.06288 (2020) - [i37]Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan:
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators. CoRR abs/2009.01027 (2020) - [i36]Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen:
Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning. CoRR abs/2011.06773 (2020) - [i35]Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan:
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. CoRR abs/2011.09670 (2020) - [i34]Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Xiaolin Wei, Junchi Yan, Xiaokang Yang:
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradients Accumulation. CoRR abs/2011.11233 (2020) - [i33]Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang:
Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. CoRR abs/2011.15039 (2020)
2010 – 2019
- 2019
- [j22]Wei Zhang, Junchi Yan, Zhi-Yong Liu, Zhigang Zeng:
Special issue on deep learning for intelligent sensing, decision-making and control. Neurocomputing 345: 1-2 (2019) - [j21]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) - [j20]Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng:
Editorial. Pattern Recognit. Lett. 127: 1-2 (2019) - [j19]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) - [c80]Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Synergizing Local and Global Models for Matrix Approximation. CIKM 2019: 2197-2200 - [c79]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering Using Dual Autoencoder Network. CVPR 2019: 4066-4075 - [c78]Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin:
Transferable AutoML by Model Sharing Over Grouped Datasets. CVPR 2019: 9002-9011 - [c77]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. ICCV 2019: 3056-3065 - [c76]Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao:
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. ICCV 2019: 3938-3947 - [c75]Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Xian Sun, Kun Fu:
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects. ICCV 2019: 8231-8240 - [c74]Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu:
Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI 2019: 982-988 - [c73]Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He, Yaohui Jin:
TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics. IJCAI 2019: 1935-1942 - [c72]Xingbo Du, Junchi Yan, Hongyuan Zha:
Joint Link Prediction and Network Alignment via Cross-graph Embedding. IJCAI 2019: 2251-2257 - [c71]Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin:
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting. IJCAI 2019: 2901-2908 - [c70]Junchi Yan, Hongteng Xu, Liangda Li:
Modeling and Applications for Temporal Point Processes. KDD 2019: 3227-3228 - [c69]Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen:
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. NeurIPS 2019: 3842-3851 - [c68]Zhili Xiong, Longyuan Li, Junchi Yan, Haiyang Wang, Hao He, Yaohui Jin:
Differential Privacy with Variant-Noise for Gaussian Processes Classification. PRICAI (3) 2019: 107-119 - [c67]Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou:
Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. SDM 2019: 55-63 - [i32]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Learning Combinatorial Embedding Networks for Deep Graph Matching. CoRR abs/1904.00597 (2019) - [i31]Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu:
Deep Spectral Clustering using Dual Autoencoder Network. CoRR abs/1904.13113 (2019) - [i30]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering. CoRR abs/1905.12345 (2019) - [i29]Xue Yang, Qingqing Liu, Junchi Yan, Ang Li:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. CoRR abs/1908.05612 (2019) - [i28]Qitian Wu, Zixuan Zhang, Xiaofeng Gao, Junchi Yan, Guihai Chen:
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling. CoRR abs/1910.12469 (2019) - [i27]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) - [i26]Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang:
Decoding Spiking Mechanism with Dynamic Learning on Neuron Population. CoRR abs/1911.09309 (2019) - [i25]Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan:
Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. CoRR abs/1911.10922 (2019) - [i24]Runzhong Wang, Junchi Yan, Xiaokang Yang:
Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching. CoRR abs/1911.11308 (2019) - 2018
- [j18]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) - [j17]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) - [j16]Chao Zhang, Junchi Yan, Changsheng Li, Rongfang Bie:
Contour detection via stacking random forest learning. Neurocomputing 275: 2702-2715 (2018) - [j15]Chao Zhang, Junchi Yan, Changsheng Li, Hao Wu, Rongfang Bie:
End-to-end learning for image-based air quality level estimation. Mach. Vis. Appl. 29(4): 601-615 (2018) - [j14]Junchi Yan, Changsheng Li, Yin Li, Guitao Cao:
Adaptive Discrete Hypergraph Matching. IEEE Trans. Cybern. 48(2): 765-779 (2018) - [j13]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) - [c66]Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI 2018: 4398-4405 - [c65]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 - [c64]Jinfeng Yi, Qi Lei, Junchi Yan, Wei Sun:
Session Expert: a Lightweight Conference Session Recommender System. BigData 2018: 1677-1682 - [c63]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CVPR 2018: 705-713 - [c62]Tianshu Yu, Junchi Yan, Wei Liu, Baoxin Li:
Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering. ECCV (13) 2018: 142-158 - [c61]Tong Yang, Shizheng Qin, Junchi Yan, Wenqiang Zhang:
Multi-Label Dilated Recurrent Network for Sequential Face Alignment. ICME 2018: 1-6 - [c60]Guolong Wang, Junchi Yan, Zheng Qin:
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. IJCAI 2018: 957-963 - [c59]Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha:
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI 2018: 1625-1631 - [c58]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 - [c57]Ning Zhang, Junchi Yan, Yuchen Zhou:
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. IJCAI 2018: 4574-4580 - [c56]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. KDD 2018: 2516-2525 - [c55]Wenjie Zhang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. ICMR 2018: 100-107 - [c54]Hao Xiao, Weiyao Lin, Bin Sheng, Ke Lu, Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong:
Group Re-Identification: Leveraging and Integrating Multi-Grain Information. ACM Multimedia 2018: 192-200 - [c53]Tianshu Yu, Junchi Yan, Yilin Wang, Wei Liu, Baoxin Li:
Generalizing Graph Matching beyond Quadratic Assignment Model. NeurIPS 2018: 861-871 - [i23]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) - [i22]Weichang Wu, Junchi Yan, Xiaokang Yang, Hongyuan Zha:
Decoupled Learning for Factorial Marked Temporal Point Processes. CoRR abs/1801.06805 (2018) - [i21]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Collaborative Filtering with Stability. CoRR abs/1811.02198 (2018) - 2017
- [j12]Zheng Xu, Junchi Yan, Richard Yida Xu, Lin Mei:
Guest Editorial: Visual Multimedia Learning from Big Surveillance Data. Multim. Tools Appl. 76(13): 14557 (2017) - [j11]Weiyao Lin, Yang Zhou, Hongteng Xu, Junchi Yan, Mingliang Xu, Jianxin Wu, Zicheng Liu:
A Tube-and-Droplet-Based Approach for Representing and Analyzing Motion Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1489-1503 (2017) - [j10]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-Identification. IEEE Trans. Image Process. 26(5): 2438-2453 (2017) - [j9]Chun Yang, Xu-Cheng Yin, Wei-Yi Pei, Shu Tian, Ze-Yu Zuo, Chao Zhu, Junchi Yan:
Tracking Based Multi-Orientation Scene Text Detection: A Unified Framework With Dynamic Programming. IEEE Trans. Image Process. 26(7): 3235-3248 (2017) - [c52]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. AAAI 2017: 1295-1301 - [c51]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 - [c50]Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. AAAI 2017: 1495-1501 - [c49]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 - [c48]Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha:
Self-Paced Multi-Task Learning. AAAI 2017: 2175-2181 - [c47]Chengyu Wang, Junchi Yan, Aoying Zhou, Xiaofeng He:
Transductive Non-linear Learning for Chinese Hypernym Prediction. ACL (1) 2017: 1394-1404 - [c46]Wenjie Zhang, Xiangfeng Wang, Junchi Yan, Hongyuan Zha:
A Divide-and-Conquer Approach for Large-Scale Multi-label Learning. BigMM 2017: 398-401 - [c45]Hongteng Xu, Junchi Yan, Nils Persson, Weiyao Lin, Hongyuan Zha:
Fractal Dimension Invariant Filtering and Its CNN-Based Implementation. CVPR 2017: 3825-3833 - [c44]Chao Zhang, Junchi Yan, Yunting Li, Feng Sun, Jinghai Yan, Dawei Zhang, Xiaoguang Rui, Rongfang Bie:
Early Air Pollution Forecasting as a Service: An Ensemble Learning Approach. ICWS 2017: 636-643 - [c43]Chao Zhang, Baoxian Liu, Junchi Yan, Jinghai Yan, Lingjun Li, Dawei Zhang, Xiaoguang Rui, Rongfang Bie:
Hybrid Measurement of Air Quality as a Mobile Service: An Image Based Approach. ICWS 2017: 853-856 - [c42]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 - [c41]Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin:
Personalized Key Frame Recommendation. SIGIR 2017: 315-324 - [i20]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) - [i19]Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu:
Learning Correspondence Structures for Person Re-identification. CoRR abs/1703.06931 (2017) - [i18]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) - [i17]Wenjie Zhang, Liwei Wang, Junchi Yan, Xiangfeng Wang, Hongyuan Zha:
Deep Extreme Multi-label Learning. CoRR abs/1704.03718 (2017) - [i16]Dawei Cheng, Zhibin Niu, Junchi Yan, Jiawan Zhang, Liqing Zhang:
Visual analytics for loan guarantee network risk management. CoRR abs/1705.02937 (2017) - [i15]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) - [i14]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) - [i13]Ning Zhang, Junchi Yan, Yu Chen Zhou:
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. CoRR abs/1711.04121 (2017) - [i12]Tianshu Yu, Junchi Yan, Jieyi Zhao, Baoxin Li:
Joint Cuts and Matching of Partitions in One Graph. CoRR abs/1711.09584 (2017) - [i11]Xiaoyong Pan, Junchi Yan:
Attention based convolutional neural network for predicting RNA-protein binding sites. CoRR abs/1712.02270 (2017) - 2016
- [j8]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) - [j7]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) - [j6]Cheng Deng, Xu Tang, Junchi Yan, Wei Liu, Xinbo Gao:
Discriminative Dictionary Learning With Common Label Alignment for Cross-Modal Retrieval. IEEE Trans. Multim. 18(2): 208-218 (2016) - [c40]Nianjun Zhou, Wesley M. Gifford, Junchi Yan, Hongfei Li:
End-to-End Solution with Clustering Method for Attrition Analysis. SCC 2016: 363-370 - [c39]Changsheng Li, Fan Wei, Weishan Dong, Xiangfeng Wang, Junchi Yan, Xiaobin Zhu, Qingshan Liu, Xin Zhang:
Spatially Regularized Streaming Sensor Selection. AAAI 2016: 3871-3879 - [c38]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 - [c37]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Low-Rank Matrix Approximation with Stability. ICML 2016: 295-303 - [c36]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 - [c35]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang:
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. IJCAI 2016: 1382-1388 - [c34]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 - [c33]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 - [c32]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 - [c31]Chao Zhang, Junchi Yan, Changsheng Li, Xiaoguang Rui, Liang Liu, Rongfang Bie:
On Estimating Air Pollution from Photos Using Convolutional Neural Network. ACM Multimedia 2016: 297-301 - [i10]Hongteng Xu, Junchi Yan, Nils Persson, Hongyuan Zha:
A Fractal-based CNN for Detecting Complicated Curves in AFM Images. CoRR abs/1603.06036 (2016) - [i9]