Hao Cheng

Orcid: 0000-0001-5075-1329

Affiliations:

Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China

According to our database¹, Hao Cheng authored at least 18 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

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

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

A unified structure learning framework for graph attention networks.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Mitigating Neural Network Overconfidence with Logit Normalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Truthful Mechanism Design for Multiregion Mobile Crowdsensing.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2020

Fast core pricing algorithms for path auction.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2020

MUNet: A Multi-scale U-Net Framework for Medical Image Segmentation.

[BibT_eX]

[DOI]

Wentao Zhang

Hao Cheng

Jun Gan

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Optimal Constraint Collection for Core-Selecting Path Mechanism.

[BibT_eX]

[DOI]

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

Hao Cheng

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