Rate My Professor Cunjian Chen

Chen's research specializations encompass generative AI, computer vision, biometrics, deep learning, and medical image analysis. He has authored over 50 peer-reviewed papers in leading venues such as IEEE TPAMI, IJCV, IEEE TNNLS, IEEE TDSC, IEEE TIFS, IEEE TETCI, CVPR, NeurIPS, and AAAI, amassing more than 3,200 citations. Key publications include "Consistent and Controllable Image Animation with Motion Diffusion Models" (IEEE/CVF CVPR, 2025), "MTS-Net: Dual-enhanced positional multi-head self-attention for 3D CT diagnosis of May-Thurner Syndrome" (Biomedical Signal Processing and Control, 2026), "Iterative Window Mean Filter: Thwarting Diffusion-Based Adversarial Purification" (IEEE Transactions on Dependable and Secure Computing, 2025), "Synthetic Curriculum Reinforces Compositional Text-to-Image Generation" (CVPR, 2026), and "Navigating Unlearning in Medical AI: A Framework for Diabetic Retinopathy Classification" (IEEE TETCI, 2025). Chen holds nine patents and has received three best paper awards: at ISBA 2017, WACVW 2018, and WACVW 2021. He is a Senior Member of IEEE and contributes significantly to the field as Associate Editor for IEEE Transactions on Biometrics, Behavior, and Identity Science; Neurocomputing; Neural Processing Letters; and IET Image Processing. Additionally, he has served as Area Chair for conferences including ICME, ICIP, and FG, Tutorial Chair for IJCB, and received the Outstanding Area Chairs award from ICME 2021.