Kevin (Ke-Yun) Lin   
 林可昀

PhD student
University of Washington

Email: kevinlin311.tw [at] gmail.com
           kvlin [at] uw.edu

[CV]  (updated: September, 2017)

Updates

  • Sep. 2017: Our paper on adversarial ranking for language generation has been accepted to NIPS 2017.
  • Jun. 2017: Passed the PhD qualifying exam!
  • Jan. 2017: Our paper on supervised deep hash has been accepted to TPAMI.
  • Jun. 2016: Our paper on cross-batch deep leaning has been accepted as full paper to ACM MM 2016.
  • Apr. 2016: Received the University of Washington PhD Fellowship for graduate study.
  • Mar. 2016: Our paper on unsupervised binary descriptors learning has been accepted to CVPR 2016. 
  • Apr. 2015: Our paper on deep learning based fast image retrieval has been accepted to CVPR DeepVision Workshop 2015.

About me


I am a second-year PhD student at the University of Washington, under the supervision of Prof. Ming-Ting SunDr. Zhengyou Zhang, and Dr. Xiaodong He. My research interests include computer vision, machine learning, and natural language processing.

Before coming to UW, I received the M.S. degree in computer science from National Taiwan University in 2014, under the supervision of Prof. Yi-Ping Hung and Prof. Chu-Song Chen, and the B.S. degree in electronic and computer engineering from National Taiwan University of Science and Technology in 2012.

I am fortunate to have the opportunities to work with Robinson Piramuthu (eBay Research), Fan Yang (eBay Research), Xiaosong Wang (eBay Research)Jiwen Lu (Tsinghua University), Chu-Song Chen (Academia Sinica), Huei-Fang Yang (Academia Sinica), and  Jen-Hao Hsiao (Yahoo Taiwan).


Research


Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, Ming-Ting Sun
Advances in Neural Information Processing Systems (NIPS), 2017
[preprint] [code coming soon]
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
Huei-Fang Yang, Kevin Lin, Chu-Song Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence (​TPAMI), 2017


Cross-batch Reference Learning for Deep Classification and Retrieval
Huei-Fang Yang, Kevin Lin, Chu-Song Chen
ACM Multimedia, 2016 (full paper)



Learning Compact Binary Descriptors with Unsupervised Deep Neural Networks
Kevin Lin, Jiwen Lu, Chu-Song Chen, Jie Zhou
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016



Deep Learning of Binary Hash Codes for Fast Image Retrieval
Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015


Rapid Clothing Retrieval via Deep Learning of Binary Codes and Hierarchical Search
Kevin Lin, Huei-Fang Yang, Kuan-Hsien Liu, Jen-Hao Hsiao, Chu-Song Chen
ACM International Conference on Multimedia Retrieval (ICMR), 2015 



Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance
Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Yi-Ping Hung
IEEE Transactions on Information Forensic and Security (TIFS), 2015  


Flower Classification with Few Training Examples via Recalling Visual Patterns from Deep CNN
Kevin Lin, Huei-Fang Yang, Chu-Song Chen
IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP), 2015 
[pdf] Huang Jan S. Memorial Excellent Paper Award


Activities

Journal Reviewer
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Multimedia (TMM)
  • Pattern Recognition (PR)
  • Multimedia Systems
Conference/Workshop Reviewer 
  • ICCV Workshops 2017



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