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$p$-Laplacian Based Graph Neural Networks


Nov 14, 2021
Guoji Fu, Peilin Zhao, Yatao Bian


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Meta-learning with an Adaptive Task Scheduler


Oct 26, 2021
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

* Accepted by NeurIPS 2021 

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Value Penalized Q-Learning for Recommender Systems


Oct 15, 2021
Chengqian Gao, Ke Xu, Peilin Zhao

* An offline RL algorithm for recommender systems, 10 Pages 

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Local Augmentation for Graph Neural Networks


Sep 08, 2021
Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu

* 16 pages, 5 figures 

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AdaXpert: Adapting Neural Architecture for Growing Data


Jul 01, 2021
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

* accepted by ICML 2021 

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Learning Graphon Autoencoders for Generative Graph Modeling


May 29, 2021
Hongteng Xu, Peilin Zhao, Junzhou Huang, Dixin Luo


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Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation


May 23, 2021
Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang

* 10 pages, 4 figures 

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Sparse online relative similarity learning


Apr 15, 2021
Dezhong Yao, Peilin Zhao, Chen Yu, Hai Jin, Bin Li


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FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks


Apr 14, 2021
Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr

* The first three authors contribute equally. Our shorter versions are accepted to ICLR 2021 Workshop on Distributed and Private Machine Learning(DPML) and MLSys 2021 GNNSys Workshop on Graph Neural Networks and Systems 

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Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets


Feb 27, 2021
Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

* 8 pages 

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Towards Accurate and Compact Architectures via Neural Architecture Transformer


Feb 20, 2021
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

* Extension of NAT 

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Hierarchical Graph Capsule Network


Dec 16, 2020
Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

* AAAI 2021 

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Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings


Nov 25, 2020
Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang

* IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 

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RetroXpert: Decompose Retrosynthesis Prediction like a Chemist


Nov 04, 2020
Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang

* 17 pages, to appear in NeurIPS 2020 

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FedML: A Research Library and Benchmark for Federated Machine Learning


Jul 27, 2020
Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr

* We maintain the source code, documents, and user community at https://fedml.ai 

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Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels?


Jul 12, 2020
Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang


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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search


Jul 07, 2020
Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan


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Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis


Jul 05, 2020
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan

* IEEE Transactions on Image Processing 

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COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19


Apr 30, 2020
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan


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Disturbance-immune Weight Sharing for Neural Architecture Search


Mar 29, 2020
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan


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Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization


Mar 12, 2020
Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

* Accepted by AAAI'18 

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Context-Aware Domain Adaptation in Semantic Segmentation


Mar 09, 2020
Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang

* 10 pages, 6 figures, 5 tables 

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Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning


Mar 06, 2020
Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan

* IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 

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Joint Wasserstein Distribution Matching


Mar 01, 2020
JieZhang Cao, Langyuan Mo, Qing Du, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan

* This paper is accepted by Chinese Journal of Computers in 2020 

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Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks


Jan 17, 2020
Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang

* 8 pages, 4 figures, AAAI 2020 

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Mastering Complex Control in MOBA Games with Deep Reinforcement Learning


Jan 03, 2020
Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

* accepted as a conference paper by AAAI-2020 

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Online Adaptive Asymmetric Active Learning with Limited Budgets


Nov 18, 2019
Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan

* IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 

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NAT: Neural Architecture Transformer for Accurate and Compact Architectures


Nov 18, 2019
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

* This paper is accepted by NeurIPS 2019 

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