Belief-state Monte-Carlo tree search for Phantom games. - Jiao Wang 005; Tan Zhu; Hongye Li; Chu-Hsuan Hsueh; I-Chen Wu (CIG, 2015)

Only-One-Victor Pattern Learning in Computer Go. - Jiao Wang 005; Chenjun Xiao; Tan Zhu; Chu-Hsuan Hsueh; Wen-Jie Tseng 001; I-Chen Wu (IEEE Trans. Comput. Intell. AI Games, 2017)

Belief-State Monte Carlo Tree Search for Phantom Go. - Jiao Wang 005; Tan Zhu; Hongye Li; Chu-Hsuan Hsueh; I-Chen Wu (IEEE Trans. Games, 2018)

Communication-Optimal Distributed Dynamic Graph Clustering. - Chun Jiang Zhu; Tan Zhu; Kam-yiu Lam; Song Han 002; Jinbo Bi (AAAI, 2019)

Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. - Chun Jiang Zhu; Tan Zhu; Haining Li; Jinbo Bi; Minghu Song (BIBM, 2019)

An Efficient Algorithm for Deep Stochastic Contextual Bandits. - Tan Zhu; Guannan Liang; Chunjiang Zhu; Haining Li; Jinbo Bi (AAAI, 2021)

Federated Nonconvex Sparse Learning. - Qianqian Tong; Guannan Liang; Tan Zhu; Jinbo Bi (CoRR, 2021)

Federated Optimization of ℓ0-norm Regularized Sparse Learning. - Qianqian Tong; Guannan Liang; Jiahao Ding; Tan Zhu; Miao Pan; Jinbo Bi (Algorithms, 2022)

Polyhedron Attention Module: Learning Adaptive-order Interactions. - Tan Zhu; Fei Dou; Xinyu Wang; Jin Lu 001; Jinbo Bi (NeurIPS, 2023)

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. - Fei Dou; Jin Lu 001; Tan Zhu; Jinbo Bi (IEEE Internet Things J., 2024)

A novel graph kernel algorithm for improving the effect of text classification. - Fan Yang 044; Tan Zhu; Jing Huang 012; Zhilin Huang; Guoqi Xie (Comput. Speech Lang., 2026)