Hao Cheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Riemannian Manifolds

Top Venues

Publications

Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen
Floating Anchor Diffusion Model for Multi-motif Scaffolding. CoRR (2024)
Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR (2023)
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR (2021)
Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. CoRR (2021)
Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning. CVPR (2021)
Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang, Xing Sun
On The Consistency Training for Open-Set Semi-Supervised Learning. CoRR (2021)
Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun
One for More: Selecting Generalizable Samples for Generalizable ReID Model. AAAI (2021)
Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. CoRR (2020)
Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun
Pruning Filter in Filter. NeurIPS (2020)
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. CoRR (2020)
Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians. ECCV (6) (2020)
Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation. CoRR (2020)
Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun
Pruning Filter in Filter. CoRR (2020)
Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun
One for More: Selecting Generalizable Samples for Generalizable ReID Model. CoRR (2020)
Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu
Filter Grafting for Deep Neural Networks. CVPR (2020)
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. AAAI (2020)
Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu
Filter Grafting for Deep Neural Networks. CoRR (2020)
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification. CoRR (2019)