Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. - Fengxiang Yang; Ke Li 015; Zhun Zhong; Zhiming Luo; Xing Sun 001; Hao Cheng 012; Xiaowei Guo; Feiyue Huang; Rongrong Ji; Shaozi Li (AAAI, 2020)

Filter Grafting for Deep Neural Networks. - Fanxu Meng; Hao Cheng 012; Ke Li 015; Zhixin Xu; Rongrong Ji; Xing Sun 001; Guangming Lu (CVPR, 2020)

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. - Shizhen Zhao; Changxin Gao; Jun Zhang 018; Hao Cheng 012; Chuchu Han; Xinyang Jiang; Xiaowei Guo; Wei-Shi Zheng 001; Nong Sang; Xing Sun 001 (ECCV (6), 2020)

Pruning Filter in Filter. - Fanxu Meng; Hao Cheng 012; Ke Li 015; Huixiang Luo; Xiaowei Guo; Guangming Lu; Xing Sun 001 (NeurIPS, 2020)

DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation. - Hao Cheng 012; Fanxu Meng; Ke Li 015; Huixiang Luo; Guangming Lu; Xiaowei Guo; Feiyue Huang; Xing Sun 001 (CoRR, 2020)

One for More: Selecting Generalizable Samples for Generalizable ReID Model. - Enwei Zhang; Xinyang Jiang; Hao Cheng 012; Ancong Wu; Fufu Yu; Ke Li 015; Xiaowei Guo; Feng Zheng; Wei-Shi Zheng 001; Xing Sun 001 (AAAI, 2021)

Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning. - Jinpeng Wang; Yuting Gao; Ke Li 015; Yiqi Lin; Andy J. Ma; Hao Cheng 012; Pai Peng; Feiyue Huang; Rongrong Ji; Xing Sun 001 (CVPR, 2021)

Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. - Hao Cheng 012; Zhaowei Zhu; Xingyu Li; Yifei Gong; Xing Sun 001; Yang Liu 018 (ICLR, 2021)

On The Consistency Training for Open-Set Semi-Supervised Learning. - Huixiang Luo; Hao Cheng 012; Yuting Gao; Ke Li 015; Mengdan Zhang; Fanxu Meng; Xiaowei Guo; Feiyue Huang; Xing Sun 001 (CoRR, 2021)

DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Yuting Gao; Jia-Xin Zhuang; Ke Li 015; Hao Cheng 012; Xiaowei Guo; Feiyue Huang; Rongrong Ji; Xing Sun 001 (CoRR, 2021)

RMNet: Equivalently Removing Residual Connection from Networks. - Fanxu Meng; Hao Cheng 012; Jiaxin Zhuang; Ke Li 015; Xing Sun 001 (CoRR, 2021)

DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. - Yuting Gao; Jia-Xin Zhuang; Shaohui Lin; Hao Cheng 012; Xing Sun 001; Ke Li 015; Chunhua Shen (ECCV (26), 2022)

Mitigating Memorization of Noisy Labels via Regularization between Representations. - Hao Cheng 012; Zhaowei Zhu; Xing Sun 001; Yang Liu 018 (ICLR, 2023)

Floating Anchor Diffusion Model for Multi-motif Scaffolding. - Ke Liu 012; Weian Mao; Shuaike Shen; Xiaoran Jiao; Zheng Sun; Hao Cheng 012; Chunhua Shen (ICML, 2024)

Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions. - Xiaoran Jiao; Weian Mao; Wengong Jin; Peiyuan Yang; Hao Cheng 012; Chunhua Shen (CoRR, 2024)