Publications

Polyhedron Attention Module: Learning Adaptive-order Interactions
Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi. NeurIPS 2023, (A⁺ conference, acceptance rate: 26.1%)

Machine Learning of Functional Connectivity to Biotype Alcohol and Nicotine Use Disorders
Tan Zhu, Wuyi Wang, Yu Chen, Henry R Kranzler, Chiang-Shan R Li, Jinbo Bi. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2023, (Q1 journal) .

On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices
Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi. IEEE Internet of Things Journal, 2023, (Q1 journal) .

Identifying Alcohol Misuse Biotypes from Neural Connectivity Markers and Concurrent Genetic Associations
Tan Zhu, Chloe Becquey, Yu Chen, Carl W. Lejuez, Chiang-Shan R. Li, Jinbo Bi. Translational Psychiatry, 12(1), 253, 2022, (Nature Communications, Q1 journal) .

Federated Optimization of ℓ 0-norm Regularized Sparse Learning
Qianqian Tong,Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi. Federated Optimization of ℓ 0-norm Regularized Sparse Learning. Algorithms, 15(9), 319, 2022, (Q2 journal) .

An Efficient Algorithm for Deep Stochastic Contextual Bandits
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi. AAAI 2021, (A⁺ conference, acceptance rate: 21.4%).

OctSurf: Efficient hierarchical voxel-based molecular surface representation for protein-ligand affinity prediction
Qinqing Liu, Peng-Shuai Wang, Chunjiang Zhu, Blake Blumenfeld Gaines, Tan Zhu, Jinbo Bi, Minghu Song. Journal of Molecular Graphics and Modelling, 105, 107865, 2021.

Perceived stress, self-efficacy, and the cerebral morphometric markers in binge-drinking young adults
Guangfei Li, Thang M. Le, Wuyi Wang, Simon Zhornitsky, Yu Chen, Shefali Chaudhary, Tan Zhu, Sheng Zhang, Jinbo Bi, Xiaoying Tang, Chiang-Shan R. Li. NeuroImage: Clinical, 32, 102866, 2021.

Federated nonconvex sparse learning
Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi. Federated nonconvex sparse learning. arXiv Preprint arXiv:2101. 00052, 2020.

Communication-optimal Distributed Dynamic Graph Clustering Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, and Jinbo Bi. AAAI 2019, (A⁺ conference, acceptance rate: 16.2%).

Accelerating large-scale molecular similarity search through exploiting high performance computing
Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song. 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 330–333. IEEE, 2019.

Belief-state monte Carlo tree search for phantom go
Jiao Wang, Tan Zhu, Hongye Li, Chu-Husan Hsueh, I.-Chen Wu. IEEE Transactions on Games, 10(2), 139–154, 2017.

Belief-state Monte-Carlo tree search for Phantom games
Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu. 2015 IEEE Conference on Computational Intelligence and Games (CIG), 267–274. IEEE, 2015.

Only-one-victor pattern learning in computer go
Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Husan Hsueh, Wen-Jie Tseng, I-Chen Wu. IEEE Transactions on Computational Intelligence and AI in Games, 9(1), 88–102, 2015.

Static strategies and inference for the game of Phantom Go
Tan Zhu, Yueming Yuan, Ji Ma, Jiao Wang. The 27th Chinese Control and Decision Conference (2015 CCDC), 3732–3736. IEEE, 2015.

A fast heuristic algorithm for ladle scheduling based on vehicle routing problem with time windows model
Zheng Wei, Tan Zhu, Tianzhang He, Shixin Liu. ISIJ International, 54(11), 2588–2597, 2014.

Applying determinized MCTS in Chinese Military Chess
Chenjun Xiao, Tan Zhu, Chao Lin, Xinhe Xu, Jiao Wang. The 26th Chinese Control and Decision Conference (2014 CCDC), 3941–3946. IEEE, 2014.

UCT based search in Phantom Go
Shiquan Shen, Jie Xu, Hongye Li, Tan Zhu, Jiao Wang. 2013 25th Chinese Control and Decision Conference (CCDC), 1665–1670. IEEE, 2013.