Wan, Fangping; Li, Shuya; Tian, Tingzhong; Lei, Yipin; Zhao, Dan; Zeng, Jianyang. EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction. , FRONTIERS IN PHARMACOLOGY 2020.  

Cyrus Rashtchian, David P. Woodruff, Hanlin Zhu. Vector-Matrix-Vector Queries for Solving Linear Algebra, Statistics, and Graph Problems. , RANDOM 2020.  

Yaowei Long, Seth Pettie. Planar Distance Oracles with Better Time-Space Tradeoffs. , SODA 2021.  

Wentao Weng, Harsh Gupta, Niao He, Lei Ying. The Mean-Squared Error of Double Q-Learning. , NIPS 2020.  

Yilin Han,Chenxing Li,Peilun Li,Ming Wu,Dong Zhou,Fan Long. Shrec: Bandwidth-Efficient Transaction Relay in High-Throughput Blockchain Systems. , SoCC 2020.  

Wentao Weng, Weina Wang. Achieving Zero Asymptotic Queueing Delay for Parallel Jobs. , ACM SIGMETRICS 2021.  

Wentao Weng, Xingyu Zhou, R Srikant. Optimal Load Balancing with Locality Constraints. , ACM SIGMETRICS 2021.  

Chenxin Li, Peilun Li, Dong Zhou, Zhe Yang, Ming Wu, Guang Yang, Wei Xu, Fan Long and Andrew Chi-Chih Yao. A Decentralized Blockchain with High Throughput and Fast Confirmation. , USENIX-ATC 2020.  

Dawei Huang, Seth Pettie, Yixiang Zhang, Zhijun Zhang. The Communication Complexity of Set Intersection and Multiple Equality Testing. , SODA 2020.  

Jian Li, Xuanyuan Luo, Mingda Qiao. On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning. , ICLR 2020.  

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang. Object-Oriented Dynamics Learning through Multi-Level Abstraction. , AAAI 2020.  

Xiaohui Bei, Zihao Li, Jinyan Liu, Shengxin Liu, Xinhang Lu. Fair Division of Mixed Divisible and Indivisible Goods. , AAAI 2020.  

P. Zeng, W. Wu, and X. Ma. Symmetry-protected privacy: Beating the rate-distance linear bound over a noisy channel. , Phys. Rev. Applied.  

S. Zhao, P. Zeng, W.-F. Cao, X.-Y. Xu, Y.-Z. Zhen, X. Ma, L. Li, N.-L. Liu, and K. Chen. Phase-matching quantum cryptographic conferencing. , Phys. Rev. Applied.  

Kaifeng Lyu, Jian Li. Gradient Descent Maximizes the Margin of Homogeneous Neural Networks. , ICLR 2020.  

Yaohui Guo, Chongjie Zhang and X. Jessie Yang. Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach. , CHI Conference on Human Factors in Computing Systems, 2020.  

Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang. Object-Oriented Dynamics Learning through Multi-Level Abstraction. , AAAI 2020.  

Chai, Chengliang; Li, Guoliang; Li, Jian; Luo, Yuyu; Cao, Lei; Madden, Samuel. Human-in-the-loop Outlier Detection. , Proceedings of the ACM SIGMOD International Conference on Management of Data 2020.