Feature-aligned harmonic volumetric mapping using MFS. - Xin Li 003; Huanhuan Xu; Shenghua Wan; Zhao Yin; Wuyi Yu (Comput. Graph., 2010)

Symmetry and template guided completion of damaged skulls. - Xin Li 003; Zhao Yin; Li Wei; Shenghua Wan; Wei Yu 012; Maoqing Li (Comput. Graph., 2011)

A topology-preserving optimization algorithm for polycube mapping. - Shenghua Wan; Zhao Yin; Kang Zhang 002; Hongchao Zhang; Xin Li 003 (Comput. Graph., 2011)

Efficient Spherical Parametrization Using Progressive Optimization. - Shenghua Wan; Tengfei Ye; Maoqing Li; Hongchao Zhang; Xin Li 003 (CVM, 2012)

An efficient spherical mapping algorithm and its application on spherical harmonics. - Shenghua Wan; Tengfei Ye; Maoqing Li; Hongchao Zhang; Xin Li 003 (Sci. China Inf. Sci., 2013)

Optimizing polycube domain construction for hexahedral remeshing. - Wuyi Yu; Kang Zhang 002; Shenghua Wan; Xin Li 003 (Comput. Aided Des., 2014)

A Novel Multi-Training Method for Time-Series Urban Green Cover Recognition From Multitemporal Remote Sensing Images. - Wenye Wang; Shenghua Wan; Pengfeng Xiao; Xueliang Zhang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models. - Shenghua Wan; Yucen Wang; Minghao Shao; Ruying Chen; De-Chuan Zhan (ICML, 2023)

SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets. - Shenghua Wan; Ziyuan Chen; Le Gan; Shuai Feng; De-Chuan Zhan (ICML, 2024)

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors. - Yucen Wang; Shenghua Wan; Le Gan; Shuai Feng; De-Chuan Zhan (ICML, 2024)

MOSER: Learning Sensory Policy for Task-specific Viewpoint via View-conditional World Model. - Shenghua Wan; Hai-Hang Sun; Le Gan; De-Chuan Zhan (IJCAI, 2024)

Leveraging Separated World Model for Exploration in Visually Distracted Environments. - Kaichen Huang; Shenghua Wan; Minghao Shao; Hai-Hang Sun; Le Gan; Shuai Feng; De-Chuan Zhan (NeurIPS, 2024)

DIDA: Denoised Imitation Learning based on Domain Adaptation. - Kaichen Huang; Hai-Hang Sun; Shenghua Wan; Minghao Shao; Shuai Feng; Le Gan; De-Chuan Zhan (CoRR, 2024)

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring. - Kaichen Huang; Minghao Shao; Shenghua Wan; Hai-Hang Sun; Shuai Feng; Le Gan; De-Chuan Zhan (CoRR, 2024)

Reward Models in Deep Reinforcement Learning: A Survey. - Rui Yu; Shenghua Wan; Yucen Wang; Chen-Xiao Gao; Le Gan; Zongzhang Zhang; De-Chuan Zhan (CoRR, 2025)

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making. - Yucen Wang; Rui Yu; Shenghua Wan; Le Gan; De-Chuan Zhan (CoRR, 2025)