Xiaotian Han

Kevin J. Kranzusch Assistant Professor, Department of Computer and Data Sciences, Case School of Engineering

Office Location: 706 Olin Building

Xiaotian (Max) Han leads the Machine Learning Research group in the Department of Computer and Data Sciences at Case Western Reserve University. His research will focuses on foundation models and their applications:

Current Projects

Efficient LLM

Optimizing architecture, enhancing long context.

Understanding LLM

Understanding position embedding, understanding alignment.

LLM Agents

Developing planning strategies, enhancing reasoning capabilities.

AI4Sci

Graph Foundation Models.

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

2026

Shouren Wang* , Wang Yang* , Chuang Ma , Debargha Ganguly , Vikash Singh , Chaoda Song , Xinpeng Li , Xianxuan Long , Vipin Chaudhary , Xiaotian Han

Conference on Language Modeling (COLM 2026)

Large Language Models Model Architecture Reasoning

arXiv Code

Mid-Think: Training-Free Intermediate-Budget Reasoning via Token-Level Triggers

2026

Van Yang* , Shouren Wang* , Debargha Ganguly , Xinpeng Li , Chaoda Song , Vikash Singh , Vipin Chaudhary , Xiaotian Han

Findings of the Association for Computational Linguistics: ACL 2026

Large Language Models Reasoning Inference Efficiency

arXiv Code View

A Survey on Efficient Protein Language Models

2026

Shouren Wang , Debargha Ganguly , Vinooth Rao Kulkarni , Wang Yang , Zhuoran Qiao , Daniel Blankenberg , Vipin Chaudhary , Xiaotian Han

Transactions on Machine Learning Research (TMLR 2026)

Protein Language Models Efficient AI Survey

OpenReview Code

Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?

2026

Shouren Wang* , Wang Yang* , Xianxuan Long , Qifan Wang , Vipin Chaudhary , Xiaotian Han

EMNLP 2026 Main Conference

Large Language Models Post-Training Reasoning

arXiv Code

PhD Students

Shouren Wang

PhD Student