Hao Cheng

About Hao Cheng

Hao Cheng, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Nanjing University, specializes in the field of mechanism design, combinatorial optimization, robust deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation

Read: Aggregating reconstruction error into out-of-distribution detection

Two wrongs don’t make a right: Combating confirmation bias in learning with label noise

DOS: Diverse outlier sampling for out-of-distribution detection

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

A unified structure learning framework for graph attention networks

Mitigating neural network overconfidence with logit normalization

Hao Cheng Information

University

Position

___

Citations(all)

162

Citations(since 2020)

162

Cited By

7

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Hao Cheng Skills & Research Interests

mechanism design

combinatorial optimization

robust deep learning

Top articles of Hao Cheng

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

2024/2/27

Exploring leximin principle for fair core-selecting combinatorial auctions: payment rule design and implementation

arXiv preprint arXiv:2312.06443

2023/12/11

Read: Aggregating reconstruction error into out-of-distribution detection

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Hao Cheng
Hao Cheng

H-Index: 1

Shuai Feng
Shuai Feng

H-Index: 5

Two wrongs don’t make a right: Combating confirmation bias in learning with label noise

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

DOS: Diverse outlier sampling for out-of-distribution detection

arXiv preprint arXiv:2306.02031

2023/6/3

Hao Cheng
Hao Cheng

H-Index: 1

Hongxin Wei
Hongxin Wei

H-Index: 1

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

2023

A unified structure learning framework for graph attention networks

Neurocomputing

2022/7/21

Mitigating neural network overconfidence with logit normalization

2022/6/28

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

2021/7/19

Gsapool: Gated structure aware pooling for graph representation learning

2021/7/18

Dmspool: Dual multi-scale pooling for graph representation learning

2021

Fast core pricing algorithms for path auction

Autonomous Agents and Multi-Agent Systems

2020/4

Research Article Truthful Mechanism Design for Multiregion Mobile Crowdsensing

2020

Truthful Mechanism Design for Multiregion Mobile Crowdsensing

Wireless Communications & Mobile Computing (Online)

2020

Jun Wu
Jun Wu

H-Index: 13

Hao Cheng
Hao Cheng

H-Index: 1

See List of Professors in Hao Cheng University(Nanjing University)