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ORCIDHao Cheng 0005
Person information
- affiliation: University of California, Santa Cruz, CA, USA
- affiliation (former): ShanghaiTech University, 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://dblp.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 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 0012 — Tencent Youtu Lab, Shanghai, 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
[c4]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. ICLR 2024- [i3]Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun:
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies. CoRR abs/2402.02032 (2024) - 2022
- [c3]Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu:
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. ICLR 2022 - 2021
- [i2]Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu:
Demystifying How Self-Supervised Features Improve Training from Noisy Labels. CoRR abs/2110.09022 (2021) - [i1]Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu:
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations. CoRR abs/2110.12088 (2021)
2010 – 2019
- 2019
- [j1]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Utilizing Information Bottleneck to Evaluate the Capability of Deep Neural Networks for Image Classification. Entropy 21(5): 456 (2019) - [c2]Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng:
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks. CVPR 2019: 4748-4756 - 2018
- [c1]Hao Cheng, Dongze Lian, Shenghua Gao, Yanlin Geng:
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane. ECCV (11) 2018: 181-195
Coauthor Index
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