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 fellows: I am looking for a research fellow. The position is available immediately but the start date is flexible.
Please send me an email with your CV and transcripts to apply.
- Sep, 2018. ScatterNet paper is accepted to IEEE Trans. Vis. Comput. Graph.
- Sep, 2018. Rafiki paper is accepted to VLDB 2019.
- Aug, 2018. I am teaching CS5228 on Data Mining and Knowledge Discovery.
Rafiki: Machine Learning as an Analytics Service System.
Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, and Jie Shao. Accepted in VLDB 2019.
ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots.
Yuxin Ma, Anthony K. H. Tung, Wei Wang, Xiang Gao, Zhigeng Pan, Wei Chen. Accepted in Transactions on Visualization and Computer Graphics 2018.
Capturing Feature-Level Irregularity in Disease Progression Modeling
Kaiping Zheng, Wei Wang, Jinyang Gao, Kee Yuan Ngian, Beng Chin Ooi, and Wei Luen James Yip. CIKM 2017.
Cross-Domain Image Retrieval with Attention Modeling.
Xin Ji, Wei Wang, Meihui Zhang, and Yang Yang. ACM Multimedia 2017.
Deep Learning at Scale and At Ease.
Wei Wang, Gang Chen, Haibo Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, and Sheng Wang. ACM Transactions on Multimedia Computing Communications and Applications(TOMM) - Special Section on Best Papers of ACM Multimedia 2015, Volume 12 Issue 4s, November 2016.
Database Meets Deep Learning: Challenges and Opportunities.
Wei Wang, Meihui Zhang, Gang Chen, H.V. Jagadish, Beng Chin Ooi, and Kian-Lee Tan. ACM SIGMOD Record 2016.
SINGA: Putting Deep Learning in the Hands of Multimedia Users.
Wei Wang, Gang Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, and Sheng Wang. ACM Multimedia 2015. Best paper candidate, slides.
SINGA: A Distributed Deep Learning Platform.
Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony K. H. Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, and Kaiping Zheng. ACM Multimedia (Open Source Software Competition) 2015, project.
Effective Deep Learning Based Multi-Modal Retrieval.
Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Zhang, and Yueting Zhuang. VLDB Journal 2015 - Special issue of VLDB’14 best papers, code.
Effective multi-modal retrieval based on stacked autoencoders.
Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Zhang, and Yueting Zhuang. VLDB 2014. Best paper candidate, project.
Cross-media hashing with neural networks.
Yueting Zhuang, Zhou Yu, Wei Wang, Fei Wu, Siliang Tang, and Jian Shao. ACM Multimedia 2014 (short paper).
Continuously monitoring the correlations of massive discrete streams.
Yueguo Chen, Wei Wang, Xiaoyong Du, and Xiaofang Zhou. CIKM 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 ICDE 2018
- Program Committee member of DASFFA 2017
- Program Committee member of ACM Multimedia 2015