H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis. - Wentai Hou; Lequan Yu; Chengxuan Lin; Helong Huang; Rongshan Yu; Jing Qin 001; Liansheng Wang (AAAI, 2022)

Spatial-Hierarchical Graph Neural Network with Dynamic Structure Learning for Histological Image Classification. - Wentai Hou; Helong Huang; Qiong Peng; Rongshan Yu; Lequan Yu; Liansheng Wang (MICCAI (2), 2022)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning. - Yuecheng Liu; Dafeng Chi; Shiguang Wu 004; Zhanguang Zhang; Yaochen Hu 001; Lingfeng Zhang; Yingxue Zhang 001; Shuang Wu 005; Tongtong Cao; Guowei Huang; Helong Huang; Guangjian Tian; et al. (CoRR, 2025)

Ark: An Open-source Python-based Framework for Robot Learning. - Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Jan Peters 001; Xingyue Quan; Jun Wang 012; et al. (CoRR, 2025)

GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions. - Helong Huang; Min Cen; Kai Tan; Xingyue Quan; Guowei Huang; Hong Zhang (CoRR, 2025)