ADP with MCTS algorithm for Gomoku. - Zhentao Tang; Dongbin Zhao; Kun Shao; Le Lv (SSCI, 2016)

Visual Scenes Mining for Agent Awareness Module. - Gang Ma 001; Zhentao Tang; Xi Yang; Zhongzhi Shi; Kun Yang (ICDM, 2017)

A Review of Computational Intelligence for StarCraft AI. - Zhentao Tang; Kun Shao; Yuanheng Zhu; Dong Li 016; Dongbin Zhao; Tingwen Huang (SSCI, 2018)

A Survey of Deep Reinforcement Learning in Video Games. - Kun Shao; Zhentao Tang; Yuanheng Zhu; Nannan Li 003; Dongbin Zhao (CoRR, 2019)

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward. - Kun Shao; Yuanheng Zhu; Zhentao Tang; Dongbin Zhao (IJCNN, 2020)

A Novel Optimization Algorithm Inherited From Gravitational and Spherical Search Dynamics. - Zhentao Tang; Kaiyu Wang; Jiarui Shi; Sichen Tao; Yuki Todo; Shangce Gao (ISCID, 2020)

Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm. - Rongqin Liang; Yuanheng Zhu; Zhentao Tang; Mu Yang; Xiaolong Zhu (CoG, 2021)

Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy. - Zhentao Tang; Sichen Tao; Kaiyu Wang; Bo Lu; Yuki Todo; Shangce Gao (Int. J. Comput. Intell. Syst., 2022)

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. - Yao Lai; Jinxin Liu; Zhentao Tang; Bin Wang 034; Jianye Hao; Ping Luo 002 (ICML, 2023)

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition. - Zhentao Tang; Yuanheng Zhu; Dongbin Zhao; Simon M. Lucas (IEEE Trans. Games, 2023)

Hierarchical Manta Ray Foraging Optimization with Weighted Fitness-Distance Balance Selection. - Zhentao Tang; Kaiyu Wang; Sichen Tao; Yuki Todo; Ronglong Wang; Shangce Gao (Int. J. Comput. Intell. Syst., 2023)

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning. - Xi Zeng; Xiaotian Hao; Hongyao Tang; Zhentao Tang; Shaoqing Jiao; Dazhi Lu; Jiajie Peng (AAAI, 2024)

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. - Ruizhe Zhong; Junjie Ye; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Junchi Yan (AAAI, 2024)

JigsawPlanner: Jigsaw-like Floorplanner for Eliminating Whitespace and Overlap among Complex Rectilinear Modules. - Xingbo Du; Ruizhe Zhong; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (ICCAD, 2024)

Reinforcement Learning within Tree Search for Fast Macro Placement. - Zijie Geng; Jie Wang 005; Ziyan Liu; Siyuan Xu; Zhentao Tang; Mingxuan Yuan; Jianye Hao; Yongdong Zhang 001; Feng Wu 001 (ICML, 2024)

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD, 2024)

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Jianye Hao; Mingxuan Yuan; Junchi Yan (NeurIPS, 2024)

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. - Ruizhe Zhong; Xingbo Du; Shixiong Kai; Zhentao Tang; Siyuan Xu; Hui-Ling Zhen; Jianye Hao; Qiang Xu 001; Mingxuan Yuan; Junchi Yan (CoRR, 2024)

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. - Zhihai Wang; Zijie Geng; Zhaojie Tu; Jie Wang 005; Yuxi Qian; Zhexuan Xu; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; et al. (CoRR, 2024)

Fractional-Order Water Flow Optimizer. - Zhentao Tang; Kaiyu Wang; Yan Zang; Qianyu Zhu; Yuki Todo; Shangce Gao (Int. J. Comput. Intell. Syst., 2024)

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement. - Lin Chen 029; Ran Chen 001; Shoubo Hu; Xufeng Yao; Zhentao Tang; Shixiong Kai; Siyuan Xu; Mingxuan Yuan; Jianye Hao; Bei Yu 001; Jiang Xu 001 (ASP-DAC, 2025)

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement. - Zijie Geng; Jie Wang 005; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Feng Wu 001 (ICLR, 2025)

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. - Jingwei Wang 002; Qianyue Hao; Wenzhen Huang; Xiaochen Fan; Qin Zhang 011; Zhentao Tang; Bin Wang 034; Jianye Hao; Yong Li 008 (KDD (1), 2025)

A Deep-Layered Water Flow Optimizer for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models. - Zhentao Tang; Kaiyu Wang; Mingxin Zhu; Yongxuan Yao; Lan Zhuang; Huiqin Chen; Jing Li; Li Yan 005; Shangce Gao (IEEE Access, 2025)

The Large Language Models on Biomedical Data Analysis: A Survey. - Wei Lan; Zhentao Tang; Mingyang Liu; Qingfeng Chen; Wei Peng 004; Yi-Ping Phoebe Chen; Yi Pan 001 (IEEE J. Biomed. Health Informatics, 2025)

Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models. - Zhentao Tang; Kaiyu Wang; Yongxuan Yao; Mingxin Zhu; Lan Zhuang; Huiqin Chen; Jing Li; Li Yan 005; Shangce Gao (Int. J. Comput. Intell. Syst., 2025)