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Multi-Channel Auto-Encoders and a Novel Dataset for Learning Domain Invariant Representations of Histopathology Images


Jul 15, 2021
Andrew Moyes, Richard Gault, Kun Zhang, Ji Ming, Danny Crookes, Jing Wang


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AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning


Jul 07, 2021
Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang


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Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting


Jun 23, 2021
Yuehai Chen, Jing Yang, Dong Zhang, Kun Zhang, Badong Chen, Shaoyi Du


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Graph Domain Adaptation: A Generative View


Jun 14, 2021
Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang


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Adversarial Robustness through the Lens of Causality


Jun 11, 2021
Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang


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DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching


Jun 09, 2021
Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen

* Accepted by CICAI2021 

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Progressive Open-Domain Response Generation with Multiple Controllable Attributes


Jun 07, 2021
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang

* 7 pages, 2 figures, 3 tables, in IJCAI'21 

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Conditional Contrastive Learning: Removing Undesirable Information in Self-Supervised Representations


Jun 05, 2021
Yao-Hung Hubert Tsai, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov


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Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction


Jun 01, 2021
Mengfan Liu, Pengyang Shao, Kun Zhang


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Privileged Graph Distillation for Cold Start Recommendation


May 31, 2021
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

* 10 pages,5 figures 

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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation


May 26, 2021
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang

* The paper is accepted by SIGIR 2021 

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Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction


May 19, 2021
Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Kun Zhang, Jinmei Luo, Zhaojie Liu, Yanlong Du

* SIGIR 2021 

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A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation


Apr 27, 2021
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

* In submission 

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FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders


Mar 26, 2021
Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph Ramsey, Zhifeng Hao, Clark Glymour


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Towards advancing the earthquake forecasting by machine learning of satellite data


Jan 31, 2021
Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou


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Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction


Jan 20, 2021
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang


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Learning Disentangled Semantic Representation for Domain Adaptation


Dec 22, 2020
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao


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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation


Dec 16, 2020
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

* Neural Information Processing Systems Workshop on Offline Reinforcement Learning 

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R$^2$-Net: Relation of Relation Learning Network for Sentence Semantic Matching


Dec 16, 2020
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

* This paper has been accepted to/by AAAI2021 

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Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation


Dec 13, 2020
Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng


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How Do Fair Decisions Fare in Long-term Qualification?


Oct 21, 2020
Xueru Zhang, Ruibo Tu, Yang Liu, Mingyan Liu, Hedvig Kjellström, Kun Zhang, Cheng Zhang

* Accepted to the 34th Conference on Neural Information Processing Systems (NeurIPS) 

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Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs


Oct 10, 2020
Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang


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Attack on Multi-Node Attention for Object Detection


Aug 16, 2020
Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang


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Adaptive Task Sampling for Meta-Learning


Jul 17, 2020
Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

* ECCV2020 

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On the Role of Sparsity and DAG Constraints for Learning Linear DAGs


Jun 17, 2020
Ignavier Ng, AmirEmad Ghassami, Kun Zhang

* 24 pages, 10 figures 

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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach


May 25, 2020
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang

* Accepted by SIGIR2020 

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A Causal View on Robustness of Neural Networks


May 03, 2020
Cheng Zhang, Kun Zhang, Yingzhen Li


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Learning from Positive and Unlabeled Data by Identifying the Annotation Process


Mar 02, 2020
Naji Shajarisales, Peter Spirtes, Kun Zhang

* Submitted to UAI 2020 

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