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From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems

Oct 28, 2021
Yao Zhou, Haonan Wang, Jingrui He, Haixun Wang

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Tackling Oversmoothing of GNNs with Contrastive Learning

Oct 26, 2021
Lecheng Zheng, Dongqi Fu, Jingrui He

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Deep Active Learning by Leveraging Training Dynamics

Oct 16, 2021
Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He

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EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits

Oct 07, 2021
Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

* 19 pages 

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DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks

Jul 05, 2021
Dongqi Fu, Jingrui He

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Convolutional Neural Bandit: Provable Algorithm for Visual-aware Advertising

Jul 02, 2021
Yikun Ban, Jingrui He

* 23 pages, in submission 

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Multi-facet Contextual Bandits: A Neural Network Perspective

Jun 13, 2021
Yikun Ban, Jingrui He, Curtiss B. Cook

* KDD'21, 11 pages 

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Controllable Gradient Item Retrieval

May 31, 2021
Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

* Accepted by The International World Wide Web Conference (WWW), 2021 

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Heterogeneous Contrastive Learning

May 19, 2021
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong

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Local Clustering in Contextual Multi-Armed Bandits

Feb 26, 2021
Yikun Ban, Jingrui He

* 12 pages 

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Deep Co-Attention Network for Multi-View Subspace Learning

Feb 15, 2021
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He

* Accepted by WWW21 

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GAN-based Recommendation with Positive-Unlabeled Sampling

Dec 12, 2020
Yao Zhou, Jianpeng Xu, Jun Wu, Zeinab Taghavi Nasrabadi, Evren Korpeoglu, Kannan Achan, Jingrui He

* 12 pages 

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Robust Decentralized Learning for Neural Networks

Sep 18, 2020
Yao Zhou, Jun Wu, Jingrui He

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A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes

Sep 15, 2020
Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski

* Accepted to IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VAST 2020) 

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Generic Outlier Detection in Multi-Armed Bandit

Jul 14, 2020
Yikun Ban, Jingrui He

* Published in SIGKDD 2020 

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Continuous Transfer Learning with Label-informed Distribution Alignment

Jun 05, 2020
Jun Wu, Jingrui He

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DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

Jun 05, 2019
Jun Wu, Jingrui He, Jiejun Xu

* Accepted by KDD2019 Research track 

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Visual Analytics of Anomalous User Behaviors: A Survey

May 21, 2019
Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao

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Deep Multimodality Model for Multi-task Multi-view Learning

Jan 25, 2019
Lecheng Zheng, Yu Cheng, Jingrui He

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Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching

Jun 23, 2018
Yao Zhou, Jingrui He

* 3 pages, SBP-BRiMS 18 Doctoral Consortium 

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Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners

May 25, 2018
Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

* 10 pages, KDD 18 

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