WANG Wei

Assistant Professor
Ph.D. (National University of Singapore, 2017)
B.S. (Renmin University of China, 2011)
COM2-04-09
660 13785

http://www.comp.nus.edu.sg/~wangwei

Research Areas

  • Database

Research Interests

  • Machine Learning Systems
  • Multi-modal Data Analysis
  • Fintech
  • System Optimization for Machine Learning
  • Few-shot Learning

Profile

I am an Assistant Professor in the Department of Computer Science, National University of Singapore (NUS). I got my B.S. from Renmin University of China in 2011 and PhD from NUS in 2017. My research interests include deep learning systems and applications for multimedia data. I am currently working on (distributed) deep learning system optimization, multi-modal data analysis, and few-shot learning.

Current Projects

  • Advanced Anti-Malware Solution Using Deep Learning, 2017-2019, NRF & NCR
  • Towards efficient training and inference of deep learning models, 2017-2020, NUS Startup Grant

Selected Publications

  • K. Zheng, W. Wang, J. Gao, K.Y. Ngiam, B.C. Ooi and W.L.J. Yip: Capturing Feature-Level Irregularity in Disease Progression Modeling. CIKM 2017 (accepted).

  • X. Ji, W. Wang, M. Zhang, Y. Yang: Cross-Domain Image Retrieval with Attention Modeling. ACM Multimedia 2017 (accepted).

  • W. Wang et al: Deep Learning at Scale and At Ease. ACM Transactions on Multimedia Computing Communications and Applications(TOMM) - Special Section on Best Papers of ACM Multimedia 2015, Volume 12 Issue 4s, November 2016.

  • W. Wang, M. Zhang, G. Chen, H.V. Jagadish, B. C. Ooi, K.L. Tan: Database Meets Deep Learning: Challenges and Opportunities. ACM SIGMOD Record, 2016.

  • W. Wang, G. Chen, T. T. A. Dinh, J. Gao, B. C. Ooi, K.-L.Tan, S. Wang. SINGA: Putting Deep Learning in the Hands of Multimedia Users. ACM Multimedia 2015. Best paper candidate, slides.

  • B. C. Ooi, K.-L. Tan, S. Wang, W. Wang, G. Chen, J. Gao, Z. Luo, A.K.H. Tung, Y. Wang, Z. Xie, M. Zhang, K. Zheng: SINGA: A Distributed Deep Learning Platform. ACM Multimedia (Open Source Software Competition) 2015, project.

  • W. Wang, X. Yang, B. C. Ooi, D. Zhang, and Y. Zhuang. Effective Deep Learning Based Multi-Modal Retrieval.VLDB Journal - Special issue of VLDB’14 best papers, 2015, code.

  • W. Wang, B. C. Ooi, X. Yang, D. Zhang, and Y. Zhuang. Effective multi-modal retrieval based on stacked autoencoders. In VLDB 2014. Best paper candidate, project.

  • L. Long, W. Wang, J. Wen, M. Zhang, Q. Lin, and B. C. Ooi. Object-Level Representation Learning for Few-Shot Image Classification. Arxiv e-prints, May. 2018

  • W. Wang, S. Wang, J. Gao, M. Zhang, G. Chen, T. K. Ng, and B. C. Ooi. Rafiki: Machine Learning as an Analytics Service System. ArXiv e-prints, Apr. 2018.

Awards & Honours

  • Best paper candidate for VLDB 2014 and ACM Multimedia 2015
  • NUS Computing’s Doctoral Dissertation Award, 2017

Teaching (2019/2020)

  • CS5242: Neural Networks and Deep Learning
  • CS5228: Knowledge Discovery and Data Mining