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Top-N Recommendation with Counterfactual User Preference Simulation


Sep 02, 2021
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang


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Counterfactual Explainable Recommendation


Aug 24, 2021
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

* To be published at the 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) 

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Neuron Campaign for Initialization Guided by Information Bottleneck Theory


Aug 14, 2021
Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang

* 5 pages, Accepted by CIKM'21 

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Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective


Jun 22, 2021
Ning Zhang, Qian Ma, Xu Chen


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HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping


Jun 18, 2021
Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji

* Accepted to IJCAI 2021, project website: https://johann.wang/HifiFace 

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TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data


Jun 16, 2021
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

* 10 pages, 7 figures, to be published in the proceedings of KDD 2021 

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A Game-Theoretic Approach to Multi-Agent Trust Region Optimization


Jun 12, 2021
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

* A Multi-Agent Trust Region Learning (MATRL) algorithm that augments the single-agent trust region policy optimization with a weak stable fixed point approximated by the policy-space meta-game 

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TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning


Jun 11, 2021
Xu Chen, Junshan Wang, Kunqing Xie

* IJCAI-2021 

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Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective


May 17, 2021
Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang

* 9 pages, 0 figures 

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Contrastive Conditional Transport for Representation Learning


May 08, 2021
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou


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SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes


Apr 08, 2021
Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger

* video: https://youtu.be/rCEpFTKjFHE ; supplementary materials: https://bit.ly/3t1Tk6F 

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Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks


Mar 31, 2021
Xu Chen, Bangguo Yin, Songqiang Chen, Haifeng Li, Tian Xu


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Causal Collaborative Filtering


Feb 10, 2021
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

* 14 pages, 5 figures, 3 tables 

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Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control


Jan 21, 2021
Qiong Wu, Xu Chen, Zhi Zhou, Liang Chen, Junshan Zhang

* Accepted by IEEE/ACM Transactions on Networking, Jan. 2021 

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EC-SAGINs: Edge Computing-enhanced Space-Air-Ground Integrated Networks for Internet of Vehicles


Jan 15, 2021
Shuai Yu, Xiaowen Gong, Qian Shi, Xiaofei Wang, Xu Chen

* The paper is accepted by IEEE IoTJ, Jan. 2021 

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Discrete Knowledge Graph Embedding based on Discrete Optimization


Jan 13, 2021
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang

* Accepted at the AAAI-20 Workshop on Knowledge Discovery from Unstructured Data in Financial Services 

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Generate Natural Language Explanations for Recommendation


Jan 09, 2021
Hanxiong Chen, Xu Chen, Shaoyun Shi, Yongfeng Zhang

* Accepted to the SIGIR 2019 Workshop on ExplainAble Recommendation and Search, Paris, France, July 2019 

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Causal World Models by Unsupervised Deconfounding of Physical Dynamics


Dec 28, 2020
Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang


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FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring


Dec 14, 2020
Qiong Wu, Xu Chen, Zhi Zhou, Junshan Zhang

* Accepted by IEEE Transactions on Mobile Computing 

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CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices


Dec 06, 2020
Liekang Zeng, Xu Chen, Zhi Zhou, Lei Yang, Junshan Zhang

* Accepted by IEEE/ACM Transactions on Networking, Nov. 2020 

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TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting


Nov 30, 2020
Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie

* Published as a conference paper at ICDM 2020 

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Learning on Attribute-Missing Graphs


Nov 03, 2020
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W Tsang

* This paper is to appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI), 2020 

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GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs


Nov 03, 2020
Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu

* Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) 

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Learning Euler's Elastica Model for Medical Image Segmentation


Nov 01, 2020
Xu Chen, Xiangde Luo, Yitian Zhao, Shaoting Zhang, Guotai Wang, Yalin Zheng

* 9 pages, 4 figures 

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Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network


Sep 25, 2020
Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen

* CIKM 2020 

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When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network


Sep 22, 2020
Shuai Yu, Xu Chen, Zhi Zhou, Xiaowen Gong, Di Wu

* Accepted by IEEE IoTJ 

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Learning Robust Node Representations on Graphs


Sep 06, 2020
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan

* 16 pages 

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