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2020 – today
- 2024
[j4]Fei Dou
, Jin Lu, Tan Zhu, Jinbo Bi:
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. 11(3): 3909-3926 (2024)- 2023
- [c5]Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi:
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS 2023 - 2022
- [j3]Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi:
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15(9): 319 (2022) - 2021
- [c4]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI 2021: 11193-11201 - [i3]Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi:
Federated Nonconvex Sparse Learning. CoRR abs/2101.00052 (2021) - [i2]Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR abs/2104.05613 (2021)
2010 – 2019
- 2019
- [c3]Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. AAAI 2019: 5957-5964 - [c2]Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song:
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM 2019: 330-333 - 2018
- [j2]Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu:
Belief-State Monte Carlo Tree Search for Phantom Go. IEEE Trans. Games 10(2): 139-154 (2018) - [i1]Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi:
Communication-Optimal Distributed Dynamic Graph Clustering. CoRR abs/1811.06072 (2018) - 2017
- [j1]Jiao Wang, Chenjun Xiao, Tan Zhu, Chu-Hsuan Hsueh, Wen-Jie Tseng, I-Chen Wu:
Only-One-Victor Pattern Learning in Computer Go. IEEE Trans. Comput. Intell. AI Games 9(1): 88-102 (2017) - 2015
- [c1]Jiao Wang, Tan Zhu, Hongye Li, Chu-Hsuan Hsueh, I-Chen Wu:
Belief-state Monte-Carlo tree search for Phantom games. CIG 2015: 267-274
Coauthor Index
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