Working Experience

• Senior Applied Scientist, Amazon, Seattle, USA 

• Applied Scientist, Amazon A9 Visual Search, California, USA 

• Computer Vision Scientist, GE Global Research, New York, USA 

• Postdoctoral Researcher, NVIDIA-NTU AI Lab, Taipei, Taiwan

• Visiting Scholar, University of Maryland, College Park, MD, USA 

Publications

Text2Outfit: Controllable Outfit Generation with Multimodal Language Models

Yuanhao Zhai, Yen-Liang Lin, Minxu Peng, Larry S. Davis, Ashwin Chandramouli, Junsong Yuan, David Doermann

ICCV 2025 [pdf]

SLADE: A Self-Training Framework for Distance Metric Learning

Jiali Duan, Yen-Liang Lin, Son Tran, Larry S. Davis, C.-C. Jay Kuo

CVPR 2021 [pdf]

Fashion Outfit Complementary Item Retrieval

Yen-Liang Lin, Son Tran, Larry S. Davis

CVPR 2020 [pdf]

A Unified Point-Based Framework for 3D Segmentation

Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston Hsu

3DV 2019 [pdf], CVPR workshop 2019 (2nd place at ScanNet challenge) 

DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation

Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gkhan Uzunbas, Tom Goldstein, Ser Nam Lim, Larry S. Davis

ECCV 2018 [pdf]

Drone-based Object Counting by Spatially Regularized Regional Proposal Network

Meng-Ju Hsieh, Yen-Liang Lin, Winston Hsu

ICCV 2017 [pdf]

Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation

Kuan-Lun Tseng, Yen-Liang Lin, Winston Hus, Chung-Yang Huang

CVPR 2017 [pdf]

Scalable Object Detection by Filter Compression with Regularized Sparse Coding

Ting-Hsuan Chao, Yen-Liang Lin, Yin-Hsi Kuo, Winston Hsu

CVPR 2015 [pdf]

3D Representation for Recognition and Retrieval

Yen-Liang Lin

CVPR 2015 (Doctoral consortium)

Jointly Optimizing 3D Model Fitting and Fine-Grained Classification

Yen-Liang Lin, Vlad I. Morariu, Winston Hsu, Larry S. Davis

ECCV 2014 [pdf][code & dataset]

3D Sub-Query Expansion for Improving Sketch-Based Multi-View Image Retrieval

Yen-Liang Lin, Cheng-Yu Huang, Hao-Jeng Wang, Winston Hsu

ICCV 2013 [pdf]

Investigating 3D Model and Part Information for Improving Content-Based Vehicle Retrieval

Yen-Liang Lin, Ming-Kuang Tsai, Winston Hsu, Chih-Wei Chen

IEEE TCSVT 2013

US Patent

• 12248872 - Machine learning framework for personalized clothing compatibility (03/11/2025)

• 11645693 - Complementary consumer item selection (2023/5/9)

• US20210103726A1 - Building footprint (2021/04/08)

• 10475174 - Visual anomaly detection system (2019/11/12)

• 10268913 - Equipment damage prediction system using neural networks (2019/04/23)

US Government Projects

CORE3D (IARPA) - Collaboration with UMD, CMU, Cornel, TU Graz

• Develop a framework to automatically generate 3D building models from satellite imagery

• Top-2 performing teams of the program.