Changjie Lu

I am a fourth-year PhD candidate at the Department of Bioengineering, University of Illinois Urbana-Champaign, advised by Prof. Kun Wang. Previously, I worked with Prof. Mark Anastasio. Before that, I received my Bachelor's degree in Applied Mathematics (Minor in Computer Science) in 2023 at Wenzhou-Kean University, advised by Prof. Gaurav Gupta.

My current research focuses on understanding and modeling scalable mechanisms of cell-cell communication for cancer immunotherapy. My previous research focused on medical imaging theory, low-level vision and machine learning theory.

cl140 at illinois.edu / Google Scholar / Github / Zhihu

以无厚入有间

Selected Publication

	Observer-usable Information as a Task-Specific Image Quality Metric Changjie Lu, Sourya Sengupta, Hua Li, Mark Anastasio IEEE Transactions on Medical Imaging, 2026 paper
	Approximating the Ideal Observer via a Variational Information Bottleneck Zexin Ji, Chunsu Park, Changjie Lu, Hua Li, Mark Anastasio SPIE Journal of Medical Imaging, 2026 paper
	Enhancing deep learning interpretability for hand-crafted feature-guided histologic image classification via weak-to-strong generalization Fan Zong, Changjie Lu, Jialin Yue, Mark Anastasio, Lulu Sun, Xiaowei Wang, Hua Li SPIE Journal of Medical Imaging, 2026 paper
	Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization Changjie Lu, Shen Zheng, Gaurav Gupta CVPR - Precognition Workshop, 2022 code / arxiv
	AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Changjie Lu, Shen Zheng, Zirui Wang, Omar Dib, Gaurav Gupta ACML, 2022 code / arxiv / slides
	TPSeNCE: Towards Artifact-Free Realistic Rain Generation Shen Zheng, Changjie Lu , Srinivasa Narasimhan WACV, 2024 code / arxiv
	Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond Shen Zheng, Yiling Ma, Jinqian Pan, Changjie Lu, Gaurav Gupta IEEE Transactions on Neural Networks and Learning Systems*, Underreview arxiv / Night Wenzhou Dataset Demo Night Wenzhou Dataset P1 Gopro Night Wenzhou Dataset P2 UAV
	PointNorm: Normalization is All You Need for Point Cloud Analysis Shen Zheng, Jinqian Pan, Changjie Lu, Gaurav Gupta IJCNN, 2023 (Oral Presentation) code / arxiv
	Functional Optimization Reinforcement Learning for Real-Time Bidding Yining Lu, Changjie Lu, Naina Bandyopadhyay, Manoj Kumar, Gaurav Gupta The Internship Work with Findability Science. code / arxiv
	SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining Shen Zheng, Changjie Lu, Yuxiong Wu, Gaurav Gupta WACV Workshop, 2022 code / paper / supp / slides
	Deblur-YOLO: Real-Time Object Detection with Efficient Blind Motion Deblurring Shen Zheng, Yuxiong Wu, Shiyu Jiang, Changjie Lu, Gaurav Gupta IJCNN, 2021 (Oral Presentation) code / paper / slides

Miscs

	Reviewer CVPR, AAAI, WACV, RECOMB Teaching Assistant Math 4809 (Computer Vision) Math 3291 (Machine Learning)
	AI LAB Co-founder of WKU AI-LAB. Conducted machine learning and computer vision research. Maintained a Linux cluster server.
	Invited Talk in Wenzhou-Kean University Conducted a speech, "Role of Machine Learning in Biomedical Science". Topics: Medical image analysis, Surgical assistance, Structural biology analysis.
	Invited Talk in Fudan University Participant, "Image Processing with Machine Learning". Topics: Efficient learning, Image deblurring, Image deraining.
	Student Research Day 2022, Best Oral Presentation
	Hobbies Road Bicycle (FTP: 3.1 Watt/kg); Chinese Chess (Four times City-level Championship) Chess (ELO: ~2000 on chess.com)
Visitors