Huan Ma

According to our database, Huan Ma authored at least 16 papers between 2021 and 2025.

Collaborative distances:

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

2025

Semantic Energy: Detecting LLM Hallucination Beyond Entropy.

Huan Ma, Jiadong Pan, Jing Liu, Yan Chen, Joey Tianyi Zhou, Guangyu Wang, Qinghua Hu, Hua Wu, Changqing Zhang, Haifeng Wang

CoRR, August, 2025

Estimating LLM Uncertainty with Logits.

Huan Ma, Jingdong Chen, Guangyu Wang, Changqing Zhang

CoRR, February, 2025

A Theoretical Proof of Dynamic Multimodal Fusion Exacerbates Modality Greedy.

Xiaorui Ding, Huan Ma, Changqing Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Exploring Task-Level Optimal Prompts for Visual In-Context Learning.

Yan Zhu, Huan Ma, Changqing Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model.

Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Evidential Pseudo-Label Ensemble for semi-supervised classification.

Kai Wang, Changqing Zhang, Yu Geng, Huan Ma

Pattern Recognit. Lett., January, 2024

Invariant Test-Time Adaptation for Vision-Language Model Generalization.

Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu

CoRR, 2024

Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift.

Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking.

Wenshu Ge, Huan Ma, Changqing Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

Uncertainty-aware Dynamic Re-weighting Robust Classification.

Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning.

Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu

CoRR, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu

CoRR, 2023

Fairness-guided Few-shot Prompting for Large Language Models.

Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Calibrating Multimodal Learning.

Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the International Conference on Machine Learning, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.

Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021