Identify the Nash Equilibrium in Static Games with Random Payoffs. - Yichi Zhou; Jialian Li; Jun Zhu 001 (ICML, 2017)

Selective Verification Strategy for Learning From Crowds. - Tian Tian 001; Yichi Zhou; Jun Zhu 001 (AAAI, 2018)

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors. - Yichi Zhou; Jun Zhu 001; Jingwei Zhuo (ICML, 2018)

Label Aggregation via Finding Consensus Between Models. - Chi Hong; Yichi Zhou (CoRR, 2018)

Lazy-CFR: a fast regret minimization algorithm for extensive games with imperfect information. - Yichi Zhou; Tongzheng Ren; Jialian Li; Dong Yan; Jun Zhu 001 (CoRR, 2018)

Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information. - Yichi Zhou; Jialian Li; Jun Zhu 001 (ICLR, 2020)

Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information. - Yichi Zhou; Tongzheng Ren; Jialian Li; Dong Yan; Jun Zhu 001 (ICLR, 2020)

Exploration Analysis in Finite-Horizon Turn-based Stochastic Games. - Jialian Li; Yichi Zhou; Tongzheng Ren; Jun Zhu 001 (UAI, 2020)

Online Label Aggregation: A Variational Bayesian Approach. - Chi Hong; Amirmasoud Ghiassi; Yichi Zhou; Robert Birke; Lydia Y. Chen (WWW, 2021)

Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit. - Yichi Zhou; Shihong Song; Huishuai Zhang; Jun Zhu 001; Wei Chen 034; Tie-Yan Liu (CoRR, 2021)

Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback. - Fang Kong 002; Yichi Zhou; Shuai Li 010 (ICML, 2022)

Deep reinforcement learning with credit assignment for combinatorial optimization. - Dong Yan; Jiayi Weng; Shiyu Huang 001; Chongxuan Li; Yichi Zhou; Hang Su 006; Jun Zhu 001 (Pattern Recognit., 2022)

Stochastic No-regret Learning for General Games with Variance Reduction. - Yichi Zhou; Fang Kong 002; Shuai Li 010 (ICLR, 2023)

Efficiently incorporating quintuple interactions into geometric deep learning force fields. - Zun Wang; Guoqing Liu; Yichi Zhou; Tong Wang 014; Bin Shao (NeurIPS, 2023)

Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. - Xiangxin Zhou; Liang Wang 001; Yichi Zhou (ICML, 2024)

An edge server deployment approach for delay reduction and reliability enhancement in the industrial internet. - Zhongmin Wang 001; Yichi Zhou; Xiaomin Jin; Yanping Chen 006; Chen Lu (Wirel. Networks, 2024)

A generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Zilong Wang; Aliaksandra Shysheya; Jonathan Crabbé; Shoko Ueda; Roberto Sordillo; Lixin Sun; et al. (Nat., 2025)

Solving Formal Math Problems by Decomposition and Iterative Reflection. - Yichi Zhou; Jianqiu Zhao; Yongxin Zhang; Bohan Wang; Siran Wang; Luoxin Chen; Jiahui Wang; Haowei Chen; Allan Jie; Xinbo Zhang; Haocheng Wang; Luong Quoc Trung; et al. (CoRR, 2025)

Seed-Prover: Deep and Broad Reasoning for Automated Theorem Proving. - Luoxin Chen; Jinming Gu; Liankai Huang; Wenhao Huang 001; Zhicheng Jiang; Allan Jie; Xiaoran Jin; Xing Jin; Chenggang Li; Kaijing Ma; Cheng Ren; Jiawei Shen; et al. (CoRR, 2025)