Bohan Tang

According to our database, Bohan Tang authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

Beyond Syntax: Action Semantics Learning for App Agents.

Bohan Tang, Dezhao Luo, Jingxuan Chen, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao

CoRR, June, 2025

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.

Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen

CoRR, May, 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, Kun Shao

CoRR, April, 2025

GNNs as Predictors of Agentic Workflow Performances.

Yuanshuo Zhang, Yuchen Hou, Bohan Tang, Shuo Chen, Muhan Zhang, Xiaowen Dong, Siheng Chen

CoRR, March, 2025

Training-Free Message Passing for Learning on Hypergraphs.

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes.

Keyue Jiang, Bohan Tang, Xiaowen Dong, Laura Toni

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.

Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Tian Jin, Xiaowen Dong, Yanfeng Wang, Siheng Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning.

Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen, Yanfeng Wang

Neural Networks, 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.

Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Xiaowen Dong, Yanfeng Wang, Siheng Chen

CoRR, 2024

Hypergraph Node Classification With Graph Neural Networks.

Bohan Tang, Zexi Liu, Keyue Jiang, Siheng Chen, Xiaowen Dong

CoRR, 2024

Motion Graph Unleashed: A Novel Approach to Video Prediction.

Yiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing.

Bohan Tang, Siheng Chen, Xiaowen Dong

Proceedings of the IEEE International Conference on Acoustics, 2024

Hypergraph Transformer for Semi-Supervised Classification.

Zexi Liu, Bohan Tang, Ziyuan Ye, Xiaowen Dong, Siheng Chen, Yanfeng Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting.

Bohan Tang, Yiqi Zhong, Chenxin Xu, Wei-Tao Wu, Ulrich Neumann, Ya Zhang, Siheng Chen, Yanfeng Wang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Hypergraph Structure Inference From Data Under Smoothness Prior.

Bohan Tang, Siheng Chen, Xiaowen Dong

CoRR, 2023

Learning Hypergraphs From Signals With Dual Smoothness Prior.

Bohan Tang, Siheng Chen, Xiaowen Dong

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational Reasoning.

Chenxin Xu, Yuxi Wei, Bohan Tang, Sheng Yin, Ya Zhang, Siheng Chen

CoRR, 2022

2021

Collaborative Uncertainty in Multi-Agent Trajectory Forecasting.

Bohan Tang, Yiqi Zhong, Ulrich Neumann, Gang Wang, Siheng Chen, Ya Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021