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


Jun 06, 2021
Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Shi Han, Dongmei Zhang

* 10 pages, 7 figures, to be published in the proceedings of KDD 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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Decoupled Variational Embedding for Signed Directed Networks


Aug 28, 2020
Xu Chen, Jiangchao Yao, Maosen Li, Ya zhang, Yanfeng Wang

* This paper is accepted by ACM Transactions on the WEB, 2019 

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Learning Robust Node Representation on Graphs


Aug 26, 2020
Xu Chen, Ya Zhang, Ivor Tsang, Yuangang Pan

* 16 pages. This paper is currently under review by NeurIPS 2020 

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Human Body Model Fitting by Learned Gradient Descent


Aug 19, 2020
Jie Song, Xu Chen, Otmar Hilliges

* First two authors contributed equally to this work 

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Category Level Object Pose Estimation via Neural Analysis-by-Synthesis


Aug 18, 2020
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges


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Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence


Jul 15, 2020
Xin Tang, Xu Chen, Liekang Zeng, Shuai Yu, Lin Chen


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Knowledge Distillation for Mobile Edge Computation Offloading


Apr 09, 2020
Haowei Chen, Liekang Zeng, Shuai Yu, Xu Chen


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HierTrain: Fast Hierarchical Edge AI Learning with Hybrid Parallelism in Mobile-Edge-Cloud Computing


Mar 22, 2020
Deyin Liu, Xu Chen, Zhi Zhou, Qing Ling

* Submitted for review 

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