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ORCIDHao Cheng 0012
Person information
- affiliation: Tencent Youtu Lab, Shanghai, China
Other persons with the same name
- Hao Cheng — disambiguation page
- Hao Cheng 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Hao Cheng 0002 — Microsoft Research (and 2 more)
- Hao Cheng 0003
![[0000-0003-4134-8479]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4134-8479")
— Shanghai University, School of Communication and Information Engineering, China (and 1 more) - Hao Cheng 0004 — Shanghai Jiao Tong University, Department of Automation, China
- Hao Cheng 0005 — University of California, Santa Cruz, CA, USA (and 1 more)
- Hao Cheng 0006 — Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 1 more)
- Hao Cheng 0007 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Hao Cheng 0008 — Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany
- Hao Cheng 0009 — University of Luxembourg, Luxembourg
- Hao Cheng 0010 — Tianjin University, School of Computer Science and Technology, China
- Hao Cheng 0011 — Jilin University, Key Laboratory of Geo-Exploration Instruments, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
- Hao Cheng 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
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2020 – today
- 2024
[c10]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. ICML 2024- [i11]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. CoRR abs/2406.03141 (2024) - 2023
- [c9]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Mitigating Memorization of Noisy Labels via Regularization between Representations. ICLR 2023 - 2022
- [c8]Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) 2022: 237-253 - 2021
- [c7]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: 3324-3332 - [c6]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: 11804-11813 - [c5]Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu:
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. ICLR 2021 - [i10]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 abs/2101.08237 (2021) - [i9]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 abs/2104.09124 (2021) - [i8]Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun:
RMNet: Equivalently Removing Residual Connection from Networks. CoRR abs/2111.00687 (2021) - 2020
- [c4]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: 12597-12604 - [c3]Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CVPR 2020: 6598-6606 - [c2]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: 647-663 - [c1]Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun:
Pruning Filter in Filter. NeurIPS 2020 - [i7]Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CoRR abs/2001.05868 (2020) - [i6]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 abs/2004.12311 (2020) - [i5]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 abs/2008.06963 (2020) - [i4]Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun:
Pruning Filter in Filter. CoRR abs/2009.14410 (2020) - [i3]Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu:
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach. CoRR abs/2010.02347 (2020) - [i2]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 abs/2012.05475 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1912.01349 (2019)
Coauthor Index
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