I am Chenyu Wang, a second-year PhD Candidate in ECE at Boston University, co-advised by Prof. Wenchao Li and Prof. Kayhan Batmanghelich. I am now focused on vision-language models, uncertainty quantification in natural language generation, AI explainability and reasoning, and their applications in the medical domain.

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

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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]

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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]

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

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

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Interpretable and visualized SHAP-based equalizer with feature selection in IMDD system

Chenyu Wang, Xin Miao, Yu Xi, Meihua Bi, Longsheng Li, Weisheng Hu
OFC, 2021 | [pdf]