I am Chenyu Wang, a third-year PhD Candidate in ECE at Boston University, co-advised by Prof. Wenchao Li and Prof. Kayhan Batmanghelich. My research focuses on building vision-language models that are not only capable but trustworthy, emphasizing uncertainty quantification, shortcut mitigation, fine-grained spatial grounding, and reasoning.

I study these problems in radiology report generation from 2D X-ray and 3D CT — a domain that demands both fine-grained visual grounding and factual correctness.

Prior to joining Boston University, I earned a Master’s degree in ECE from the University of Michigan, Ann Arbor, and a Bachelor’s degree from Hangzhou Dianzi University.

Publications

Preprint Illustration
Enhancing Fine-Grained Spatial Grounding in 3D CT Report Generation via Discriminative Guidance

Chenyu Wang, Weicheng Dai, Han Liu, Wenchao Li, and Kayhan Batmanghelich
Preprint, 2026 | PDF Code

Workshop Paper Illustration
VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models

Chenyu Wang, Tianle Chen, HM Ahmad, Kayhan Batmanghelich, Wenchao Li
CVPR 2026 TRUE-V Workshop | PDF Code

Publication Image
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers

Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B. Poynton, Shyam Visweswaran, Kayhan Batmanghelich
Findings of ACL, 2025 | PDF Code

Publication Image
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

Chenyu Wang, Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li
Findings of NAACL, 2025 | PDF Code

Publication Image
Deep Learning-Based Joint Channel Coding and Frequency Modulation for Low Power Connectivity

Boxuan Chang, Chenyu Wang, Hun-Seok Kim
ICC, 2023 | PDF