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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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Aggregated Gradient Langevin Dynamics

Oct 21, 2019
Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian


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Transferable Neural Processes for Hyperparameter Optimization

Sep 10, 2019
Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang

* 11 pages, 12 figures 

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Graph Convolutional Networks for Temporal Action Localization

Sep 07, 2019
Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan

* ICCV 2019 

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Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend

Mar 28, 2019
Yawei Zhao, Chen Yu, Peilin Zhao, Ji Liu

* Second version: revise Assumption 1 (there is a typo in the first version); add experiments (see Figure 2); revise Algorithm 1 in a more clear way 

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Online Learning: A Comprehensive Survey

Oct 22, 2018
Steven C. H. Hoi, Doyen Sahoo, Jing Lu, Peilin Zhao

* 100 pages, ~400 references 

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Hyperparameter Learning via Distributional Transfer

Oct 15, 2018
Ho Chung Leon Law, Peilin Zhao, Junzhou Huang, Dino Sejdinovic


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Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss

Sep 19, 2018
Yong Guo, Qi Chen, Jian Chen, Junzhou Huang, Yanwu Xu, Jiezhang Cao, Peilin Zhao, Mingkui Tan


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Distributed Collaborative Hashing and Its Applications in Ant Financial

May 31, 2018
Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li

* 10 pages 

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Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication

May 25, 2018
Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian

* Accepted to ICML 2018 

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