Zhentao Tang

According to our database, Zhentao Tang authored at least 26 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Shangce Gao

Int. J. Comput. Intell. Syst., December, 2025

The Large Language Models on Biomedical Data Analysis: A Survey.

Wei Lan, Zhentao Tang, Mingyang Liu, Qingfeng Chen, Wei Peng, Yi-Ping Phoebe Chen, Yi Pan

IEEE J. Biomed. Health Informatics, June, 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, Shangce Gao

IEEE Access, 2025

CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning.

Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement.

Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Feng Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement.

Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

Fractional-Order Water Flow Optimizer.

Zhentao Tang, Kaiyu Wang, Yan Zang, Qianyu Zhu, Yuki Todo, Shangce Gao

Int. J. Comput. Intell. Syst., December, 2024

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms.

Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Yongdong Zhang, Feng Wu

CoRR, 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, Mingxuan Yuan, Junchi Yan

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.

Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reinforcement Learning within Tree Search for Fast Macro Placement.

Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.

Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao, Dazhi Lu, Jiajie Peng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., December, 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, March, 2023

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.

Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

2022

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

2021

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

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

A Novel Optimization Algorithm Inherited From Gravitational and Spherical Search Dynamics.

Zhentao Tang, Kaiyu Wang, Jiarui Shi, Sichen Tao, Yuki Todo, Shangce Gao

Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward.

Kun Shao, Yuanheng Zhu, Zhentao Tang, Dongbin Zhao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Survey of Deep Reinforcement Learning in Video Games.

Kun Shao, Zhentao Tang, Yuanheng Zhu, Nannan Li, Dongbin Zhao

CoRR, 2019

2018

A Review of Computational Intelligence for StarCraft AI.

Zhentao Tang, Kun Shao, Yuanheng Zhu, Dong Li, Dongbin Zhao, Tingwen Huang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017

Visual Scenes Mining for Agent Awareness Module.

Gang Ma, Zhentao Tang, Xi Yang, Zhongzhi Shi, Kun Yang

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

2016

ADP with MCTS algorithm for Gomoku.

Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016