Huan Ma | Tianjin University

About Me

I am currently a PhD student at Tianjin University, and my supervisor is Professor Changqing Zhang, focusing on uncertainty-aware machine learning related to LLMs. Now, I am involved in research to enhance the tool calling capability of Foundation Model in the ERNIE Group (MCP Research).

News

[Aug. 2025] New research is released about Uncertainty Estimation in LLMs (Semantic Energy).
[Mar. 2025] New research is released about Uncertainty Estimation in LLMs (Token-level).
[Dec. 2024] Two papers about Visual-Language Foundation Models are accepted to AAAI 2025.
[Sept. 2023] Our paper about LLM is accepted to NeurIPS 2023.
[June 2023] Master’s thesis was awarded as an outstanding thesis at Tianjin University.
[May 2023] Our paper about multimodal learning is accepted to ICML 2023.
[Sept. 2021] Our paper about trustworthy multimodal regression is accepted to NeurIPS 2021.

Publications

arXiv

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

arXiv preprint arXiv:2508.14496, 2025.

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arXiv

Estimating LLM Uncertainty with Evidence

Huan Ma, Jingdong Chen, Joey Tianyi Zhou, Guangyu Wang, Changqing Zhang

arXiv preprint arXiv:2502.00290, 2025.

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ICML(Oral)

Calibrating Multimodal Learning

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

International Conference on Machine Learning (ICML), 2023.

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NeurIPS

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

Advances in Neural Information Processing Systems (NeurIPS), 2023.

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NeurIPS

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions

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

Advances in Neural Information Processing Systems (NeurIPS), 2021.

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AAAI

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

The Association for the Advancement of Artiffcial Intelligence (AAAI), 2025.

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AAAI

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

Yan Zhu, Huan Ma, Changqing Zhang

The Association for the Advancement of Artiffcial Intelligence (AAAI), 2025.

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Internship

ERNIE, Baidu

April 2025 -- Now

Research on LLM Uncertainty Estimation and Applications.
Research on Tool Calling for Foundation Models.

AI Lab, Tencent

April 2022 -- Nov. 2024

5 papers have been completed, and 3 of them have been accepted.
Built LLM content moderation system (harmful content detection) based on multi-agents.