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Interactive Image Manipulation with Complex Text Instructions


Nov 25, 2022
Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou

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* Accepted to WACV2023 

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Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification


Aug 13, 2022
Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu

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Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce


Jul 27, 2022
Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang

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* Accepted by ICDE 2022 

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Physics-informed Deep Learning for Musculoskeletal Modelling: Predicting Muscle Forces and Joint Kinematics from Surface EMG


Jul 04, 2022
Jie Zhang, Yihui Zhao, Fergus Shone, Zhenhong Li, Alejandro F. Frangi, Shengquan Xie, Zhiqiang Zhang

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KGNN: Distributed Framework for Graph Neural Knowledge Representation


May 17, 2022
Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi

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CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space


Apr 23, 2022
Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao

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* Accepted by SIGIR 2022 

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Neural Graph Matching for Pre-training Graph Neural Networks


Mar 03, 2022
Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen

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* Accepted by SDM 2022 

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An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022


Mar 01, 2022
Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi

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* 4 pages, the first place of WSDM Cup 2022 (Temporal Link Prediction) 

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Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift


Jan 27, 2022
Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou

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* Accepted to the ACM Web Conference (WWW)2022. Work done during internship at Ant Group 

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback


Dec 28, 2021
Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou

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* 41 pages, 10 figures 

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