Bin Wang - Homepage

Bin Wang (王斌)

I am now a second-year Ph.D. student at Northwestern University in Electrical and Computer Engineering, supervised by Prof. Ulas Bagci. I got my B.Eng degree in computer science from ShanghaiTech University in 2022, working with Prof. Dinggang Shen.

My research interests include Human-centered AI, Eye Tracking, Text-guided Image Generation, Foundational Model, Prompt Learning, and Medical Image Analysis.

Email:
bin.wang@northwestern.edu

Google Scholar - Github - LinkedIn - CV

Publications

* Equal contribution


	Domain Generalization with Fourier Transform and Soft Thresholding Hongyi Pan, Bin Wang, Zheyuan Zhang, Xin Zhu, Debesh Jha, Ahmet Enis Cetin, Concetto Spampinato, Ulas Bagci. ICASSP 2024 [Paper]

	GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew Torigian, Baris Turkbey, Elizabeth Krupinski, Jayaram Udupa, Ulas Bagci. WACV 2024 [Early Accept] [Paper] [Code]

	Domain generalization with correlated style uncertainty Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci. WACV 2024 [Early Accept] [Paper]

	Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy Lin Teng, Bin Wang, Xuanang Xu*, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen. Medical Image Analysis 2024 [Paper] [Code]

	EMIT-Diff: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci. [Arxiv]

	GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model Bin Wang, Armstrong Aboah, Zheyuan Zhang, Ulas Bagci. NeurIPS Workshop 2023 [Paper] [Code] [Project Page]

	Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8 Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi. CVPR Workshop 2023 7th place in 2023 AI City Challenge [Paper] [Code]

	Deep learning-based Head and Neck Radiotherapy Planning Dose Prediction via Beam-wise Dose Decomposition Bin Wang, Lin Teng, Lanzhuju Mei, Zhiming Cui, Xuanang Xu, Qianjin Feng, Dinggang Shen. MICCAI 2022 [Paper] [Code]

	Globally Convergent Algorithms For Learning Multivariate Generalized Gaussian Distributions Bin Wang, Huanyu Zhang, Ziping Zhao, Ying Sun. SSP 2021 [Paper] [Code]

Design based on Changjian Li's website