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Hao Yang

Orcid: 0000-0002-3599-9876

Affiliations:
  • Southeast University, School of Computer Science and Engineering, China Key Laboratory of Computer Network and Information Integration, Nanjing, China


According to our database1, Hao Yang authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
What Makes Reasoning Invalid: Echo Reflection Mitigation for Large Language Models.
[BibTeX]
[DOI]
Chen He
,
Xun Jiang
,
Lei Wang
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Fumin Shen
,
Xing Xu
CoRR, November, 2025

Truth in the Few: High-Value Data Selection for Efficient Multi-Modal Reasoning.
[BibTeX]
[DOI]
Shenshen Li
,
Kaiyuan Deng
,
Lei Wang
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Fumin Shen
,
Heng Tao Shen
,
Xing Xu
CoRR, June, 2025

Geometric Gradient Divergence Modulation for Imbalanced Multimodal Learning.
[BibTeX]
[DOI]
Disen Hu
,
Xun Jiang
,
Zhe Sun
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Heng Tao Shen
,
Xing Xu
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Composed Query-Based Event Retrieval in Video Corpus with Multimodal Episodic Perceptron.
[BibTeX]
[DOI]
Fan Ni
,
Xun Jiang
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Zheng Wang
,
Fumin Shen
,
Xing Xu
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Causal Intervention with Active Learning for Large Vision-Language Models in Egocentric Contexts.
[BibTeX]
[DOI]
Wenxin Meng
,
Shenshen Li
,
Lei Wang
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Xing Xu
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Social Optimum Assisted Gradient Modulation for Imbalanced Multimodal Learning.
[BibTeX]
[DOI]
Disen Hu
,
Xun Jiang
,
Zhe Sun
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Xing Xu
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs.
[BibTeX]
[DOI]
Shenshen Li
,
Wenxin Meng
,
Lei Wang
,
Hao Yang
,
Chong Peng
,
Peng Yan
,
Fumin Shen
,
Jingkuan Song
,
Heng Tao Shen
,
Xing Xu
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Learning From Noisy Labels via Dynamic Loss Thresholding.
[BibTeX]
[DOI]
Hao Yang
,
Youzhi Jin
,
Ziyin Li
,
Deng-Bao Wang
,
Xin Geng
,
Min-Ling Zhang
IEEE Trans. Knowl. Data Eng., November, 2024

2023
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels.
[BibTeX]
[DOI]
Hao-Tian Li
,
Tong Wei
,
Hao Yang
,
Kun Hu
,
Chong Peng
,
Li-Bo Sun
,
Xun-Liang Cai
,
Min-Ling Zhang
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Towards Class-Imbalance Aware Multi-Label Learning.
[BibTeX]
[DOI]
Min-Ling Zhang
,
Yu-Kun Li
,
Hao Yang
,
Xu-Ying Liu
IEEE Trans. Cybern., 2022

2021
Learning from Noisy Labels via Dynamic Loss Thresholding.
[BibTeX]
[DOI]
Hao Yang
,
Youzhi Jin
,
Ziyin Li
,
Deng-Bao Wang
,
Lei Miao
,
Xin Geng
,
Min-Ling Zhang
CoRR, 2021


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