Author

Min Zeng

Observed name: Zeng, Min

Institutions: University of Minnesota, Central South University, City University of Hong Kong, Hong Kong University of Science and Technology

Observed institutions: University of Science and Technology of China, University of Minnesota, Central South University, City University of Hong Kong, Hong Kong University of Science and Technology

OpenAlex ID: A5132547939

C 2 MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis

2025 · Min Cen, Zhenfeng Zhuang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 1

Large language models show systematic failures in incorporating evolving medical knowledge

2026 · Zeng, Min, Zhan, Zaifu, et al. · arXiv (Cornell University)

Self-Normalized Inference for Constant-Stepsize Temporal-Difference Learning under Markovian Sampling

2026 · Zeng, Min, Zhang, Yichen, et al. · arXiv (Cornell University)

From Charts to Code: A Hierarchical Benchmark for Multimodal Models

2026 · Association for Computational Linguistics 2026, Li, Min, et al. · Underline Science Inc.

EpiScreen: Early Epilepsy Detection from Electronic Health Records with Large Language Models

2026 · Zhou, Shuang, Yu, Kai, et al. · arXiv (Cornell University)

Sparse Adapter Fusion for Continual Learning in NLP

2026 · Association for Computational Linguistics 2026, Chen, Xi, et al. · Underline Science Inc.

To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering

2026 · Zhan, Zaifu, Zeng, Min, et al. · arXiv (Cornell University)

Sparse Adapter Fusion for Continual Learning in NLP

2026 · Zeng, Min, Chen, Xi, et al. · arXiv (Cornell University)

Sparse Adapter Fusion for Continual Learning in NLP

2026 · Min Zeng, Xi Chen, et al. · Conference of the European Chapter of the Association for Computational Linguistics

ToolLoop: Closed-Loop Tool-Use Data Synthesis via Decomposed Generation and Dynamic Self-Feedback

2026 · Min Zeng, Yuzhou Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

Works count: 11

Citation count: 1

H-index: 1

I10-index: