Zheng Tian

According to our database, Zheng Tian authored at least 28 papers between 2017 and 2024.

Collaborative distances:

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

2024

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.

Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang

IEEE Trans. Mob. Comput., August, 2024

An Empirical Study on Google Research Football Multi-agent Scenarios.

Yan Song, He Jiang, Zheng Tian, Haifeng Zhang, Yingping Zhang, Jiangcheng Zhu, Zonghong Dai, Weinan Zhang, Jun Wang

Mach. Intell. Res., June, 2024

Cross-Utterance Conditioned VAE for Speech Generation.

Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2024

S2DM: Sector-Shaped Diffusion Models for Video Generation.

Haoran Lang, Yuxuan Ge, Zheng Tian

CoRR, 2024

Off-Agent Trust Region Policy Optimization.

Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework.

Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RACon: Retrieval-Augmented Simulated Character Locomotion Control.

Yuxuan Mu, Shihao Zou, Kangning Yin, Zheng Tian, Li Cheng, Weinan Zhang, Jun Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Tri-Modal Motion Retrieval by Learning a Joint Embedding Space.

Kangning Yin, Shihao Zou, Yuxuan Ge, Zheng Tian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future.

Yan Song, He Jiang, Haifeng Zhang, Zheng Tian, Weinan Zhang, Jun Wang

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators.

Haoran Zhao, Yuchen Fang, Yuxiang Zhao, Zheng Tian, Weinan Zhang, Xidong Feng, Li Yu, Wei Li, Hulei Fan, Tiema Mu

Sensors, March, 2023

Multi-embodiment Legged Robot Control as a Sequence Modeling Problem.

Chen Yu, Weinan Zhang, Hang Lai, Zheng Tian, Laurent Kneip, Jun Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer.

Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Order Matters: Agent-by-agent Policy Optimization.

Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROMO: Retrieval-enhanced Offline Model-based Optimization.

Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, Hulei Fan, Hongqiao Gao, Yong Yu, Zheng Tian

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

Online Double Oracle.

Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang

Trans. Mach. Learn. Res., 2022

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective.

Ying Wen, Ziyu Wan, Ming Zhou, Shufang Hou, Zhe Cao, Chenyang Le, Jingxiao Chen, Zheng Tian, Weinan Zhang, Jun Wang

CoRR, 2022

M2N: Mesh Movement Networks for PDE Solvers.

Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Game-Theoretic Approach to Multi-agent Trust Region Optimization.

Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

2021

Multi-Agent Constrained Policy Optimisation.

Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang

CoRR, 2021

Online Double Oracle.

Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang

CoRR, 2021

2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

CoRR, 2020

Learning to Model Opponent Learning.

Ian Davies, Zheng Tian, Jun Wang

CoRR, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Communicate Implicitly by Actions.

Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning to Model Opponent Learning (Student Abstract).

Ian Davies, Zheng Tian, Jun Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Regularized Opponent Model with Maximum Entropy Objective.

Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Learning Multi-agent Implicit Communication Through Actions: A Case Study in Contract Bridge, a Collaborative Imperfect-Information Game.

Zheng Tian, Shihao Zou, Tim Warr, Lisheng Wu, Jun Wang

CoRR, 2018

2017

Thinking Fast and Slow with Deep Learning and Tree Search.

Thomas Anthony, Zheng Tian, David Barber

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017