Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization. - Zhenggang Tang; Chao Yu 005; Boyuan Chen 003; Huazhe Xu; Xiaolong Wang 004; Fei Fang 001; Simon Shaolei Du; Yu Wang 002; Yi Wu 013 (ICLR, 2021)

A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning. - Zhenggang Tang; Kai Yan; Liting Sun; Wei Zhan; Changliu Liu (CoRR, 2021)

RGB-Only Reconstruction of Tabletop Scenes for Collision-Free Manipulator Control. - Zhenggang Tang; Balakumar Sundaralingam; Jonathan Tremblay; Bowen Wen; Ye Yuan; Stephen Tyree; Charles T. Loop; Alexander G. Schwing; Stan Birchfield (ICRA, 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows. - Zhenggang Tang; Zhongzheng Ren; Xiaoming Zhao 001; Bowen Wen; Jonathan Tremblay; Stan Birchfield; Alexander G. Schwing (CVPR, 2024)

Pixel-Aligned Multi-View Generation with Depth Guided Decoder. - Zhenggang Tang; Peiye Zhuang; Chaoyang Wang 001; Aliaksandr Siarohin; Yash Kant; Alexander G. Schwing; Sergey Tulyakov; Hsin-Ying Lee 001 (CoRR, 2024)

MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds. - Zhenggang Tang; Yuchen Fan; Dilin Wang; Hongyu Xu; Rakesh Ranjan; Alexander G. Schwing; Zhicheng Yan 001 (CVPR, 2025)

Spatio-Temporal LLM: Reasoning about Environments and Actions. - Haozhen Zheng; Beitong Tian; Mingyuan Wu; Zhenggang Tang; Klara Nahrstedt; Alexander G. Schwing (CoRR, 2025)