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Changjie Lu I am a third-year PhD student at the Department of Bioengineering, University of Illinois Urbana-Champaign, advised by Prof. Kun Wang. Before that, I received my bachelor's degree in Applied Mathematics in 2023 at Wenzhou-Kean University, advised by Prof. Gaurav Gupta. 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 Two first-author papers are accepted by SPIE Medical Imaging 2025! 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 (Best FTP: 205W); Chinese Chess (Four times City-level Championship) Chess (ELO: ~2000 on chess.com) Go Visitors HOME ABOUT AUCTIONS SHIPPING FEES TOOLS HOW FAQ CONTACT   Original Source | Taken Source