论文发表
Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang. Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication. , ICLR 2020.
Y. Huang, L. Huang. Heavy Traffic Analysis of Approximate Max-Weight Matching Algorithms for Input-Queued Switches. , PEVA 2020.
Yuanhao Wang, Guodong Zhang, Jimmy Ba. On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach. , ICLR 2020.
L. Huang. Fast-Convergent Learning-aided Control in Energy Harvesting Networks. , TMC 2020.
Pan, Xinlei; Seita, Daniel; Gao, Yang; Canny, John. Risk Averse Robust Adversarial Reinforcement Learning. , ICRA 2020.
Kefan Dong, Yuanhao Wang, Xiaoyu Chen, Liwei Wang. Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP. , ICLR 2020.
Kefan Dong, Jian Peng, Yining Wang, Yuan Zhou. Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank. , COLT 2020.
Wen, Chuan; Lin, Jierui; Darrell, Trevor; Jayaraman, Dinesh; Gao, Yang. Fighting Copycat Agents in Behavioral Cloning from Observation Histories. , NeurIPS 2020.
Zhao, Sicheng; Wang, Yezhen; Li, Bo; Wu, Bichen; Gao, Yang; Xu, Pengfei; Darrell, Trevor; Keutzer, Kurt. ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. , AAAI 2021.
Kefan Dong, Yuping Luo, Tengyu Ma. Bootstrapping the Expressivity with Model-based Planning. , ICML 2020.
Jia, Zhihao; Lin, Sina; Gao, Mingyu; Zaharia, Matei; Aiken, Alex. Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc. , Proceeding of the 3rd Conference on Machine Learning and Systems – MLSys 2020.
Kefan Dong,Yingkai Li,Qin Zhang, Yuan Zhou. Multinomial Logit Bandit with Low Switching Cost. , ICML 2020.
Yang, Xuan; Gao, Mingyu; Liu, Qiaoyi; Setter, Jeff; Pu, Jing; Nayak, Ankita; Bell, Steven; Cao, Kaidi; Ha, Heonjae; Raina, Priyanka; Kozyrakis, Christos; Horowitz, Mark. Interstellar: Using halide's scheduling language to analyze DNN accelerators. , International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS 2020.
Ningning Ding, Zhixuan Fang, and Jianwei Huang. Information Disclosure Game on Sharing Platforms. , Globecom 2020.
Ningning Ding, Zhixuan Fang, Lingjie Duan, and Jianwei Huang. Incentive Mechanism Design for Distributed Coded Machine Learning. , INFOCOM 2021..
Ningning Ding, Zhixuan Fang, and Jianwei Huang. Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. , JSAC 2021.
K Wang, J Sun, C Wu, Y Yu. Conductor Galloping Detection on Imbalanced Dataset: SVM with Smart Sampling. , 2020 IEEE Power & Energy Society General Meeting.
Duan, Ran; Gu, Yong; Ren, Hanlin. Approximate Distance Oracles Subject to Multiple Vertex Failures. , SODA 2021.