Zhengfeng (Jeff) Lai’s Homepage
I am a ML Research Scientist @ Apple AI/ML. Prior to that, I receieved my Ph.D. from the University of California, Davis in 2023, advised by Prof. Chen-Nee Chuah, Prof. Sen-Ching Cheung, and Prof. Brittany N. Dugger. I received my bachelor’s degree from Zhejiang University in 2019.
My research interests include multimodality (langugage-vision model), semi-supervised learng and label/data-efficient learning, AI healthcare.
In my free time, I like to play tennis, hiking and outdoor adventures. I also like to talk to people from various backgrounds and learn different life styles. Feel free to chat with me.
Recent News
- One first-authored paper, “Semi-Path: An Interactive Semi-supervised Learning Framework for Gigapixel Pathology Image Analysis,” was accepted by Smart Health and will present at IEEE/ACM CHASE 2024.
- One first-authored paper, “Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models,” was accepted by WACV 2024.
- One first-authored paper, “PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation,” was accepted by ICCV 2023.
- I’m honored to receive Advancement-to-Candidacy (AC) fellowship from ECE at UC Davis.
- I will join Apple AIML (Cupertino, CA) as a ML Research Intern in March 2023.
- I’m honored to receive the Best Paper Award (Top 3) from Workshop on Learning with Limited Labelled Data for Image and Video Understanding at CVPR 2022.
- I’m honored to receive the 2022 Smita Bakshi Digital Learning and Teaching Award from the Electrical and Computer Engineering Department.
- I’m honored to receive the ICML 2022 Participation Grant and R13 Grant Travel Awards from the American Association of Neuropathologists Annual (AANP).
- I will join Amazon Lab126 (Sunnyvale, CA) as an Applied Scientist Intern in June, 2022.
- Our work on ‘‘Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution’’ was accepted by The International Conference on Machine Learning (ICML) 2022.
- I will join Electronic Arts (Redwood City, CA) as a Ph.D. Data Scientist Intern in June, 2021.