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Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning


Oct 09, 2021
Danruo Deng, Guangyong Chen, Jianye Hao, Qiong Wang, Pheng-Ann Heng

* NeurIPS2021 

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Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning


Jun 25, 2021
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng Ann Heng


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Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction


Mar 03, 2021
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng

* Accepted paper on AAAI 2021. arXiv admin note: text overlap with arXiv:1905.11100 

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Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise


Dec 10, 2020
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

* Accepted by AAAI 2021 

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Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels


Dec 08, 2020
Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

* Accepted by AAAI 2021 

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A Rotation-Invariant Framework for Deep Point Cloud Analysis


Mar 16, 2020
Xianzhi Li, Ruihui Li, Guangyong Chen, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng


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Wasserstein Collaborative Filtering for Item Cold-start Recommendation


Sep 10, 2019
Yitong Meng, Guangyong Chen, Benben Liao, Jun Guo, Weiwen Liu


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PMD: A New User Distance for Recommender Systems


Sep 10, 2019
Yitong Meng, Weiwen Liu, Benben Liao, Jun Guo, Guangyong Chen


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Spectral-based Graph Convolutional Network for Directed Graphs


Jul 21, 2019
Yi Ma, Jianye Hao, Yaodong Yang, Han Li, Junqi Jin, Guangyong Chen


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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models


Jun 22, 2019
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang

* Authors are listed in alphabetical order 

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A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR


Jun 13, 2019
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang

* Correspondence to: Guangyong Chen  

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Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization


Jun 13, 2019
Pengfei Chen, Weiwen Liu, Chang-Yu Hsieh, Guangyong Chen, Shengyu Zhang

* 1. Pengfei Chen and Weiwen Liu have equal contribution. 2. Correspondence to: Guangyong Chen  

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Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric


Jun 06, 2019
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng


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Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction


May 27, 2019
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang

* 10 pages for paper and 6 pages for the supplementary material 

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Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks


May 15, 2019
Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, Shengyu Zhang

* Correspondence to:Benben Liao  

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Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels


May 13, 2019
Pengfei Chen, Benben Liao, Guangyong Chen, Shengyu Zhang

* Correspondence to: Guangyong Chen  

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Online Prediction of Dyadic Data with Heterogeneous Matrix Factorization


Jan 13, 2016
Guangyong Chen, Fengyuan Zhu, Pheng Ann Heng

* 26 pages, 10 figures 

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Blind Image Denoising via Dependent Dirichlet Process Tree


Jan 13, 2016
Fengyuan Zhu, Guangyong Chen, Jianye Hao, Pheng-Ann Heng

* 25 pages, 11 figures 

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