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Jie Zhang

Exploring Sparse Expert Models and Beyond


Jun 01, 2021
An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

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* 11 pages, 6 figures 
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HINet: Half Instance Normalization Network for Image Restoration


May 13, 2021
Liangyu Chen, Xin Lu, Jie Zhang, Xiaojie Chu, Chengpeng Chen

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Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication


Apr 09, 2021
Xiquan Guan, Huamin Feng, Weiming Zhang, Hang Zhou, Jie Zhang, Nenghai Yu

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* Accepted to ACM MM 2020 
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FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images


Apr 05, 2021
Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen

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* Accepted by Medical Image Analysis 
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Deep Model Intellectual Property Protection via Deep Watermarking


Mar 08, 2021
Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Huamin Feng, Gang Hua, Nenghai Yu

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* To appear at TPAMI 2021 
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M6: A Chinese Multimodal Pretrainer


Mar 02, 2021
Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

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* 12 pages, technical report 
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Spatio-Temporal Multi-step Prediction of Influenza Outbreaks


Feb 16, 2021
Jie Zhang, Kazumitsu Nawata, Hongyan Wu

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Dynamic Virtual Graph Significance Networks for Predicting Influenza


Feb 16, 2021
Jie Zhang, Pengfei Zhou, Hongyan Wu

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Meta-Path-Free Representation Learning on Heterogeneous Networks


Feb 16, 2021
Jie Zhang, Jinru Ding, Suyuan Liu, Hongyan Wu

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BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions


Jan 29, 2021
Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang

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Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning


Jan 14, 2021
Andreanne Lemay, Charley Gros, Zhizheng Zhuo, Jie Zhang, Yunyun Duan, Julien Cohen-Adad, Yaou Liu

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TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking


Jan 06, 2021
Jie Zhang

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Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems


Dec 19, 2020
Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang

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* Accepted by AAAI 2021 
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Attributes Aware Face Generation with Generative Adversarial Networks


Dec 03, 2020
Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen

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* 8 pages, 5 figures, 3 tables. Accepted by ICPR2020 
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Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction


Nov 24, 2020
Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng

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Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions


Nov 06, 2020
Angira Sharma, Edward Kosasih, Jie Zhang, Alexandra Brintrup, Anisoara Calinescu

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Passport-aware Normalization for Deep Model Protection


Nov 03, 2020
Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

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* Fix typo error. To Appear in NeurIPs 2020, code at "https://github.com/ZJZAC/Passport-aware-Normalization" 
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Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning


Oct 23, 2020
Cong Zhang, Wen Song, Zhiguang Cao, Jie Zhang, Puay Siew Tan, Chi Xu

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Cascaded Semantic and Positional Self-Attention Network for Document Classification


Sep 19, 2020
Juyong Jiang, Jie Zhang, Kai Zhang

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* Accepted to Proc. Conf. Empirical Methods in Natural Language Processing 2020 
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Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters


Sep 17, 2020
Zhi Huang, Paul Salama, Wei Shao, Jie Zhang, Kun Huang

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Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition


Aug 06, 2020
Liangfa Wei, Jie Zhang, Junfeng Hou, Lirong Dai

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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification


Jun 29, 2020
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha

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Federated Mutual Learning


Jun 27, 2020
Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Gang Huang, Pan Zhou, Fei Wu, Chao Wu

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Adaptive Sampling to Reduce Disparate Performance


Jun 11, 2020
Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Jie Zhang

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Graph Random Neural Network


May 22, 2020
Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang

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* 12 pages, 22 figures 
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