Bin Wang (王斌) Northwestern University Email: [email protected] Google Scholar / Github / LinkedIn / Resume

About Me

I am currently a fourth-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

• Multimodal LLMs: vision-language models, video LLMs, multi-modal agents, time-series reasoning.
• Vision Foundation Models: interactive segmentation, 3D scene understanding, temporal grounding.
• Human-Centered AI: personalized wearable AI, eye tracking, cognitive modeling, medical image analysis.

News

• [09/2025] Served as Workshop and Tutorial Chair of ETRA Conference 2026.
• [06/2025] Started a summer internship at Meta Reality Lab as a Research Scientist Intern, under the guidance of Michael Proulx.
• [04/2025] One paper is accepted by ETRA 2025!
• [02/2025] Two papers are accepted by CVPR 2025!
• [01/2025] One paper is accepted by ICLR 2025!
• [11/2024] Gave an invited talk, "EyeSee: Utilize Eye Tracking to Improve Medical Image Analysis", at UPenn MIPG.
• [06/2024] Started a summer internship at United Imaging Intelligence, America as a Research Scientist Intern, under the guidance of Ziyan Wu.
• [05/2024] Honored with the MIPS Scholar Award.
• [04/2024] Gave 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. ICLR 2025 [Arxiv]  [Project Page]  [Demo]  [NotebookLM]
	Shifts in Doctors’ Eye Movements Between Real and AI-Generated Medical Images David Wong*, Bin Wang*, Gorkem Durak, Marouane Tliba, et al. ETRA 2025 [Paper]
	Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging David Wong*, Bin Wang*, Gorkem Durak, Marouane Tliba, et al. CVPRW 2025 [Oral] [Paper]  [Project Page]
	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]  [Project Page]
	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]
	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]

Other Publications

	AdverIN: Monotonic Adversarial Intensity Attack for Domain Generalization in Medical Image Segmentation Zheyuan Zhang, Bin Wang, Lanhong Yao, Elif Keles, Debesh Jha, Matthew Antalek, Gorkem Durak, Alpay Medetalibeyoglu, Concetto Spampinato, Baris Turkbey, Boqing Gong, Ulas Bagci Medical Image Analysis 2025 [Paper]
	Seq2Time: Sequential Knowledge Transfer for Video LLM Temporal Grounding Andong Deng, Zhongpai Gao, Anwesa Choudhuri, Benjamin Planche, Meng Zheng, Bin Wang, Terrence Chen, Chen Chen, Ziyan Wu. CVPR 2025 [Paper]
	Improving Self-Supervised Medical Image Pre-Training by Early Alignment with Human Eye Gaze Information Sheng Wang, Zihao Zhao, Zhenrong Shen, Bin Wang, Qian Wang, Dinggang Shen. IEEE Transactions on Medical Imaging (TMI) 2025 [Paper]  [Code]
	DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model Zheyuan Zhang, Lanhong Yao, Bin Wang, Debesh Jha, Gorkem Durak, Elif Keles, Alpay Medetalibeyoglu, Ulas Bagci. IEEE Transactions on Medical Imaging (TMI) 2025 [Paper]  [Code]
	Large-scale multi-center CT and MRI segmentation of pancreas with deep learning Zheyuan Zhang, Elif Keles, Gorkem Durak, ..., Bin Wang, ..., Michael B Wallace, Ulas Bagci. Medical Image Analysis 2025 [Paper]
	Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image Shaoxuan 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:ICLR 2026, CVPR2026, MICCAI2025, 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