Collaborative Uncertainty in Multi-Agent Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Ulrich Neumann; Gang Wang; Siheng Chen; Ya Zhang 002 (NeurIPS, 2021)

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning. - Chenxin Xu; Yuxi Wei; Bohan Tang; Sheng Yin; Ya Zhang 002; Siheng Chen (CoRR, 2022)

Learning Hypergraphs From Signals With Dual Smoothness Prior. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (ICASSP, 2023)

Hypergraph Structure Inference From Data Under Smoothness Prior. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (CoRR, 2023)

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting. - Bohan Tang; Yiqi Zhong; Chenxin Xu; Wei-Tao Wu; Ulrich Neumann; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hypergraph Transformer for Semi-Supervised Classification. - Zexi Liu; Bohan Tang; Ziyuan Ye; Xiaowen Dong 001; Siheng Chen; Yanfeng Wang 001 (ICASSP, 2024)

Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing. - Bohan Tang; Siheng Chen; Xiaowen Dong 001 (ICASSP, 2024)

Motion Graph Unleashed: A Novel Approach to Video Prediction. - Yiqi Zhong; Luming Liang; Bohan Tang; Ilya Zharkov; Ulrich Neumann (NeurIPS, 2024)

Hypergraph Node Classification With Graph Neural Networks. - Bohan Tang; Zexi Liu; Keyue Jiang; Siheng Chen; Xiaowen Dong 001 (CoRR, 2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (CoRR, 2024)

Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning. - Chenxin Xu; Yuxi Wei; Bohan Tang; Sheng Yin; Ya Zhang 002; Siheng Chen; Yanfeng Wang 001 (Neural Networks, 2024)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation. - Shuo Tang; Xianghe Pang; Zexi Liu; Bohan Tang; Rui Ye 001; Tian Jin; Xiaowen Dong 001; Yanfeng Wang 001; Siheng Chen (ACL (1), 2025)

Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes. - Keyue Jiang; Bohan Tang; Xiaowen Dong 001; Laura Toni (AISTATS, 2025)

Training-Free Message Passing for Learning on Hypergraphs. - Bohan Tang; Zexi Liu; Keyue Jiang; Siheng Chen; Xiaowen Dong 001 (ICLR, 2025)

GNNs as Predictors of Agentic Workflow Performances. - Yuanshuo Zhang; Yuchen Hou; Bohan Tang; Shuo Chen; Muhan Zhang; Xiaowen Dong 001; Siheng Chen (CoRR, 2025)

ViMo: A Generative Visual GUI World Model for App Agent. - Dezhao Luo; Bohan Tang; Kang Li; Georgios Papoudakis; Jifei Song; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems. - Rui Ye 001; Keduan Huang; Qimin Wu; Yuzhu Cai; Tian Jin; Xianghe Pang; Xiangrui Liu; Jiaqi Su; Chen Qian; Bohan Tang; Kaiqu Liang; Jiaao Chen; et al. (CoRR, 2025)

Beyond Syntax: Action Semantics Learning for App Agents. - Bohan Tang; Dezhao Luo; Jingxuan Chen; Shaogang Gong; Jianye Hao; Jun Wang 012; Kun Shao (CoRR, 2025)