Bin Wang (王斌) Northwestern University Email: bin.wang@northwestern.edu Google Scholar / Github / LinkedIn / Resume

About Me

I am currently a third-year Ph.D. student at Northwestern University in Electrical and Computer Engineering, supervised by Prof. Ulas Bagci and Prof. Aggelos K. Katsaggelos. I earned my B.Eng degree in computer science from ShanghaiTech University in 2022, where I worked with Prof. Dinggang Shen.

Research Interests

• Human-centered AI: interactive segmentation, tracking, editing (image/video), user prompt fusion.
• Eye Tracking: human visual attention and perception understanding.
• Multimodal Learning: vision-language models, multimodal fusion.

News

• [10/2024] Our latest work, Order-aware Interactive Segmentation, is now publicly available.
• [06/2024] Started a summer internship at United Imaging Intelligence, America, under the guidance of Ziyan Wu.
• [05/2024] Honored with the MIPS Scholar Award.
• [04/2024] Delivered an invited talk, "Radiologist-centered AI with Eye Tracking Techniques", at Stanford MedAI.

Selected Publications

	Order-aware Interactive Segmentation Bin Wang, Anwesa Choudhuri, Meng Zheng, Zhongpai Gao, Benjamin Planche, Andong Deng, Qin Liu, Terrence Chen, Ulas Bagci, Ziyan Wu. [Arxiv]  [Project Page]  [Demo]  [NotebookLM]
	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]
	Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy Bin Wang*, Lin Teng*, Xuanang Xu*, Jiadong Zhang, Lanzhuju Mei, Qianjin Feng, Dinggang Shen. Medical Image Analysis 2024 [Paper]  [Code]
	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]
	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]
	Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image Shaoyuan Wu, Xiao Zhang, Bin Wang, Zhuo Jin, Hansheng Li, Jun Feng. MICCAI 2024 [Paper]  [Code]
	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]
	Domain generalization with correlated style uncertainty Zheyuan Zhang, Bin Wang, Debesh Jha, Ugur Demir, Ulas Bagci. WACV 2024 [Early Accept] [Paper]  [Code]
	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]

Reviewer Service

• Conferences: CHI2025, MICCAI2024, NeurIPS2023
• Journals: Transactions on Image Processing (TIP), Transactions on Medical Imaging (TMI), Transactions on Consumer Electronics, Journal of Biomedical and Health Informatics (JBHI), Medical Physics, Journal of Imaging Informatics in Medicine