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ORCIDHao Cheng 0014
Person information
- affiliation: Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, 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 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 0012 — Tencent Youtu Lab, Shanghai, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
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2020 – today
- 2024
[c13]Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao:
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI 2024: 15231-15239- [c12]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR 2024 - 2023
- [c11]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI 2023: 14765-14773 - [c10]Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang:
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI 2023: 14910-14918 - [c9]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI 2023: 2581-2588 - [c8]Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang:
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM 2023: 262-270 - [i8]Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei:
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR abs/2306.02031 (2023) - [i7]Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang:
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR abs/2307.16614 (2023) - [i6]Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang:
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR abs/2312.06443 (2023) - [i5]Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao:
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR abs/2312.11391 (2023) - 2022
- [j3]Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang:
A unified structure learning framework for graph attention networks. Neurocomputing 495: 194-204 (2022) - [c7]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. ICML 2022: 23631-23644 - [i4]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR abs/2205.09310 (2022) - [i3]Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang:
READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR abs/2206.07459 (2022) - 2021
- [c6]Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang:
DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. DASFAA (1) 2021: 375-384 - [c5]Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang:
False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. ICCCN 2021: 1-10 - [c4]Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang:
GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. IJCNN 2021: 1-8 - [i2]Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang:
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR abs/2112.02960 (2021) - 2020
- [j2]Hao Cheng, Wentao Zhang, Yi Zhang, Lei Zhang, Jun Wu, Chongjun Wang:
Fast core pricing algorithms for path auction. Auton. Agents Multi Agent Syst. 34(1): 18 (2020) - [j1]Yu Qiao, Jun Wu, Hao Cheng, Zilan Huang, Qiangqiang He, Chongjun Wang:
Truthful Mechanism Design for Multiregion Mobile Crowdsensing. Wirel. Commun. Mob. Comput. 2020: 8834983:1-8834983:15 (2020)
2010 – 2019
- 2019
- [c3]Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie:
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. BIBM 2019: 102-106 - [c2]Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang:
Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem. ICME 2019: 838-843 - [i1]Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang:
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. CoRR abs/1907.11857 (2019) - 2018
- [c1]Hao Cheng, Lei Zhang, Yi Zhang, Jun Wu, Chongjun Wang:
Optimal Constraint Collection for Core-Selecting Path Mechanism. AAMAS 2018: 41-49
Coauthor Index
aka: Chongjun Wang
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