Email: wangwei At comp.nus.edu.sg
Tel: (65) 6601 3785
Office: COM2 Building, #04-09, 15 Computing Drive, Singapore 117418
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 and multi-modal data analysis for image retrieval.
For PhD students: I am looking for PhD students to collaborate on deep learning related research problems, including deep learning systems and applications.
For research assistants: I am looking for research assistants. The positions are available from September.
For research fellows: I am looking for a research fellow. The position is available immediately but the start date is flexible.
For NUS undergraduates: I welcome NUS undergraduates to do final-year thesis projects (FYP) with me.
Please send me an email with your CV and transcripts to apply.
- 2017-08-07 Our paper on Disease Progression Modeling is accepted by CIKM 2017.
- 2017-07-06 I delivered a valedictory speech at the commencement ceremony of School of Computing, NUS.
- 2017-07-02 Our paper on cross-domain image retrieval is accepted by ACM Multimedia 2017.
- 2017-06-16 I received NUS Computing’s Doctoral Dissertation Award 2017.
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.
Y. Zhuang, Z. Yu, W. Wang, F. Wu, S. Tang, and J. Shao. Cross-media hashing with neural networks. International Conference on Multimedia (MM) 2014 (short paper).
Y. Chen, W. Wang, X. Du, and X. Zhou. Continuously monitoring the correlations of massive discrete streams. In CIKM, pages 1571-1576, 2011 (short paper).
- Singa. Apache incubator project for developing a distributed deep learning system.
- Foodlg. A health tracking and analysis App based on deep learning.
- Program Committee member of VLDB 2018
- Program Committee member of DASFFA 2017
- Program Committee member of ACM Multimedia 2015