Changjie Lu

I am a second-year PhD student at the Department of Bioengineering, University of Illinois Urbana-Champaign, advised by Prof. Hua Li and Prof. Mark Anastasio. Before that, I received my bachelor's degree in Applied Mathematics in 2023 at Wenzhou-Kean University, advised by Prof. Gaurav Gupta.

My current research focuses on medical imaging systems, image quality assessment, and medical image analysis.

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

以无厚入有间

News:
2024/11/7 I passed the Ph.D. qualifying exam!
2024/10/15 Four papers are accepted by SPIE Medical Imaging 2025, including two first-author papers.
2023/8/16 Arrived in UIUC, new life starts!

Publication

	Hand-Crafted Feature Guided Histologic Image Classification via Weak-to-Strong Generalization Changjie Lu, Fan Zong, Zhimin Wang, Mark Anastasio, Lulu Sun, Xiaowei Wang, Hua Li, SPIE Medical Imaging, 2025
	Investigating Usable Information for Assessing the Impact of Medical Image Processing Changjie Lu, Sourya Sengupta, Hua Li, Mark Anastasio SPIE Medical Imaging, 2025
	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 Underreview 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

Services

	Reviewer AAAI'22, WACV'23, RECOMB'23 Teaching Assistant Math 4809 (Computer Vision)
	AI LAB Co-founder of WKU AI-LAB. Offered AI tutorials and taught in Computer Vision for undegraduate students. Collected state-of-the-art paper lists for paper reading, paper discussion, and literature review. Maintained a Linux-based GPU 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.

Internship

	Internship Online Advertisement Real-Time Bidding. Solution: reinforcement learning and deep factorial mechanism. Time: 29 Sept - 31 Dec 2021 (3 hours per weekday)
	Internship Data Analysis for Zhejiang Industry. Time: 12 Oct - 19 Dec 2020

Award

	Student Research Day 2022, Best Oral Presentation
Selected Course Projects	Colorization and Neural Style Transfer Playing Snake Game using Reinforcement Learning (JAVA)
	Hobbies Road Bicycle; Running; Fitness; Chinese Chess (Four times City-level Championship) Chess Go (Amateur 1-dan)
Visitors