Tian, Zheng

13 publications

ICLR 2026 Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Yijia Zhong, YiJing Zhang, Han Zhang, Yingna Wu, Zheng Tian

ICLR 2026 SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs Siting Wang, Minnan Pei, Luoyang Sun, Cheng Deng, Yuchen Li, Kun Shao, Zheng Tian, Haifeng Zhang, Jun Wang

CVPR 2025 Multi-Sensor Object Anomaly Detection: Unifying Appearance, Geometry, and Internal Properties Wenqiao Li, Bozhong Zheng, Xiaohao Xu, Jinye Gan, Fading Lu, Xiang Li, Na Ni, Zheng Tian, Xiaonan Huang, Shenghua Gao, Yingna Wu

IJCAI 2024 Off-Agent Trust Region Policy Optimization Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang

CVPR 2024 Tri-Modal Motion Retrieval by Learning a Joint Embedding Space Kangning Yin, Shihao Zou, Yuxuan Ge, Zheng Tian

ICLR 2023 Order Matters: Agent-by-Agent Policy Optimization Xihuai Wang, Zheng Tian, Ziyu Wan, Ying Wen, Jun Wang, Weinan Zhang

NeurIPS 2022 M2N: Mesh Movement Networks for PDE Solvers Wenbin Song, Mingrui Zhang, Joseph G Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

TMLR 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

AAAI 2020 Learning to Communicate Implicitly by Actions Zheng Tian, Shihao Zou, Ian Davies, Tim Warr, Lisheng Wu, Haitham Bou-Ammar, Jun Wang

AAAI 2020 Learning to Model Opponent Learning (Student Abstract) Ian Davies, Zheng Tian, Jun Wang

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, 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 Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander 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

IJCAI 2019 A Regularized Opponent Model with Maximum Entropy Objective Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang

NeurIPS 2017 Thinking Fast and Slow with Deep Learning and Tree Search Thomas Anthony, Zheng Tian, David Barber