Haodong He

According to our database, Haodong He authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks.

Rishi Veerapaneni, Alvin Tang, Haodong He, Sophia Zhao, Viraj Shah, Yidai Cen, Ziteng Ji, Gabriel Olin, Jon Arrizabalaga, Yorai Shaoul, Jiaoyang Li, Maxim Likhachev

CoRR, October, 2025

RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution.

Haodong He, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu, Gui-Song Xia

CoRR, August, 2025

CogniPlan: Uncertainty-Guided Path Planning with Conditional Generative Layout Prediction.

Yizhuo Wang, Haodong He, Jingsong Liang, Yuhong Cao, Ritabrata Chakraborty, Guillaume Sartoretti

CoRR, August, 2025

On the Robustness of Object Detection Models on Aerial Images.

Haodong He, Jian Ding, Bowen Xu, Gui-Song Xia

IEEE Trans. Geosci. Remote. Sens., 2025

pyMechOpt: A Python toolbox for optimizing of reaction mechanisms.

Sihan Di, Nanjia Yu, Shutao Han, Haodong He

SoftwareX, 2025

CONTAST: Graph Embedding Based Fault Localization Integrating AST and Context-Awareness.

Haodong He, Tingting Wu, Qi Jin, Zuohua Ding

Proceedings of the Engineering of Complex Computer Systems - 29th International Conference, 2025

2024

Event-Triggered Cooperative Tracking Control of Multiagent Systems With a Dynamic Leader via Approximate Dynamic Programming.

Hao Fu, Haodong He, Yang Chen

IEEE Trans. Artif. Intell., June, 2024

Path-Following Navigation in Crowds With Deep Reinforcement Learning.

Hao Fu, Qiang Wang, Haodong He

IEEE Internet Things J., June, 2024

2023

Robot Crowd Navigation in Dynamic Environment with Offline Reinforcement Learning.

Shuai Zhou, Hao Fu, Haodong He, Wei Liu

CoRR, 2023

On the Robustness of Object Detection Models in Aerial Images.

Haodong He, Jian Ding, Gui-Song Xia

CoRR, 2023

Spatio-Temporal Transformer-Based Reinforcement Learning for Robot Crowd Navigation.

Haodong He, Hao Fu, Qiang Wang, Shuai Zhou, Wei Liu, Yang Chen

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