Huan Ma - RankMe

20 papers A* 6B 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Theoretical Proof of Dynamic Multimodal Fusion Exacerbates Modality Greedy. ACM Multimedia Xiaorui Ding, Huan Ma, Changqing Zhang
2025	J	`jnl`	Estimating LLM Uncertainty with Logits. CoRR Huan Ma, Jingdong Chen, Guangyu Wang, Changqing Zhang
2025	A*	`conf`	Exploring Task-Level Optimal Prompts for Visual In-Context Learning. AAAI Yan Zhu, Huan Ma, Changqing Zhang
2025	J	`jnl`	Exploring Task-Level Optimal Prompts for Visual In-Context Learning. CoRR Yan Zhu, Huan Ma, Changqing Zhang
2025	J	`jnl`	Semantic Energy: Detecting LLM Hallucination Beyond Entropy. CoRR Huan Ma, Jiadong Pan, Jing Liu, Yan Chen, Joey Tianyi Zhou, Guangyu Wang, Qinghua Hu, Hua Wu, Changqing Zhang, Haifeng Wang
2025	A*	`conf`	Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model. AAAI Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	B	`conf`	Can I Trust You? Rethinking Calibration with Controllable Confidence Ranking. IJCNN Wenshu Ge, Huan Ma, Changqing Zhang
2024	J	`jnl`	Evidential Pseudo-Label Ensemble for semi-supervised classification. Pattern Recognit. Lett. Kai Wang, Changqing Zhang, Yu Geng, Huan Ma
2024	J	`jnl`	Invariant Test-Time Adaptation for Vision-Language Model Generalization. CoRR Huan Ma, Yan Zhu, Changqing Zhang, Peilin Zhao, Baoyuan Wu, Long-Kai Huang, Qinghua Hu, Bingzhe Wu
2024	—	`conf`	Rethinking the Reliability of Post-hoc Calibration Methods Under Subpopulation Shift. PRICAI (2) Yan Zhu, Huan Ma, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2024	B	`conf`	Uncertainty-aware Dynamic Re-weighting Robust Classification. IJCNN Wenshu Ge, Huan Ma, Peizhuo Sheng, Changqing Zhang
2023	J	`jnl`	Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning. CoRR Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, Bingzhe Wu
2023	—	`conf`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? ACM TUR-C Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Changqing Zhang, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Bingzhe Wu, Liang Chen
2023	J	`jnl`	Attention Paper: How Generative AI Reshapes Digital Shadow Industry? CoRR Qichao Wang, Huan Ma, Wentao Wei, Hangyu Li, Liang Chen, Peilin Zhao, Binwen Zhao, Bo Hu, Shu Zhang, Zibin Zheng, Bingzhe Wu
2023	A*	`conf`	Calibrating Multimodal Learning. ICML Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	J	`jnl`	Calibrating Multimodal Learning. CoRR Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2023	A*	`conf`	Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2023	J	`jnl`	Fairness-guided Few-shot Prompting for Large Language Models. CoRR Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu
2021	A*	`conf`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. NeurIPS Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu
2021	J	`jnl`	Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions. CoRR Huan Ma, Zongbo Han, Changqing Zhang, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu