Changjie Lu

I am a first-year PhD student at the Department of Bioengineering, University of Illinois Urbana-Champaign, advised by Prof. Hua Li. 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 reconstruction, image quality assessment, and imaging systems theory.

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

以无厚入有间

News:
2023/8/16 Arrived in UIUC, new life starts!

Publication

	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