(†: equal contribution, ~: corresponding author)

Conference Papers

• PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
  Dazhou Yu, Genpei Zhang, Liang Zhao~
  13th International Conference on Learning Representations (ICLR 2025), Poster.

• EgoPrivacy: What Your First-Person Camera Says About You?
  Yijiang Li, Genpei Zhang, Jiacheng Cheng, Yi Li, Xiaojun Shan, Dashan Gao, Jiancheng Lyu, Yuan Li, Ning Bi, Nuno Vasconcelos~
  42nd International Conference on Machine Learning (ICML 2025), Poster.

Preprints & Under-Review

• CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis
  Runmin Jiang†, Genpei Zhang†, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu~
  Under review (NeurIPS 2025 Datasets & Benchmarks Track).

• Synthesis-driven Equivariant and Noise-Robust Representation Learning for Cryo-ET Subtomograms
  Runmin Jiang, Wanyue Feng, Yuntian Yang, Shriya Pingulkar, Hong Wang, Xi Xiao, Xiaoyu Cao, Genpei Zhang, et al.~
  Under review (NeurIPS 2025 Main Track).

Early Projects & Thesis Work

• Co-Passport Ensemble: A System-level Deep Passport Framework for Multi-Model Intellectual-Property Protection
  Genpei Zhang (Undergraduate Thesis, UESTC; Advisor: Le Zhang).

• Self-reward Optimization for Diffusion Models
  Genpei Zhang, in collaboration with Huaxiu Yao (UNC Chapel Hill), 2024.