Zhentao Tang

Orcid: 0000-0002-2481-4119

According to our database1, Zhentao Tang authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fractional-Order Water Flow Optimizer.
Int. J. Comput. Intell. Syst., December, 2024

LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation.
CoRR, 2024

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Hierarchical Manta Ray Foraging Optimization with Weighted Fitness-Distance Balance Selection.
Int. J. Comput. Intell. Syst., December, 2023

Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition.
IEEE Trans. Games, March, 2023

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.
Proceedings of the International Conference on Machine Learning, 2023

2022
Chaotic Wind Driven Optimization with Fitness Distance Balance Strategy.
Int. J. Comput. Intell. Syst., 2022

2021
Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
A Novel Optimization Algorithm Inherited From Gravitational and Spherical Search Dynamics.
Proceedings of the 13th International Symposium on Computational Intelligence and Design, 2020

Cooperative Multi-Agent Deep Reinforcement Learning with Counterfactual Reward.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Survey of Deep Reinforcement Learning in Video Games.
CoRR, 2019

2018
A Review of Computational Intelligence for StarCraft AI.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Visual Scenes Mining for Agent Awareness Module.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

2016
ADP with MCTS algorithm for Gomoku.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016


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