Hao Cheng

According to our database, Hao Cheng authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection.

Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.

Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.

Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang

CoRR, 2023

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.

Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.

Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

READ: Aggregating Reconstruction Error into Out-of-Distribution Detection.

Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.

Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A unified structure learning framework for graph attention networks.

Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang

Neurocomputing, 2022

Mitigating Neural Network Overconfidence with Logit Normalization.

Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

2021

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.

Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

False-name-proof mechanism for time window coverage tasks in mobile crowdsensing.

Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.

Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Truthful Mechanism Design for Multiregion Mobile Crowdsensing.

Yu Qiao, Jun Wu, Hao Cheng, Zilan Huang, Qiangqiang He, Chongjun Wang

Wirel. Commun. Mob. Comput., 2020

Fast core pricing algorithms for path auction.

Hao Cheng, Wentao Zhang, Yi Zhang, Lei Zhang, Jun Wu, Chongjun Wang

Auton. Agents Multi Agent Syst., 2020

2019

Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem.

Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen.

Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Optimal Constraint Collection for Core-Selecting Path Mechanism.

Hao Cheng, Lei Zhang, Yi Zhang, Jun Wu, Chongjun Wang

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018