General Info

I am currently a Ph.D candidate in School of Computing, National University of Singapore. I was pleased to join the database research group in August 2011 and is supervised by Professor Beng Chin Ooi.

I obtained my BSc from Department of Computer Science and Technology, Harbin Institute of Technology, China in 2011.


As a member of NUS Database Research Group, I am interested in solving database problem in large data scale. My work mainly focus on log-structured system, especially in indexing, query processing and data management.


SINGA: A Distributed Deep Learning Platform

SINGA is an Apache Incubator open source, distributed training platform for deep learning models, and is designed based on three principles, namely, usability, scalability and extensibility. A variety of popular deep learning models are supported. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. I am one of the main developers since the project started in 2014.

LogBase: Scalable Log-structured Database

The LogBase project aims to develop a scalable log-structured database that supports very high write throughput in addtion to other functionalities including dynamic scalability, multi-version data access, transactional semantics for bundled read and write operations, and fast recovery from machine failures. I joined the LogBase project in August 2011.

epiC: Elastic Power-aware data Intensive Cloud

The epiC project aims to build an elastic, power-aware, data-intensive cloud computing platform for large-scale services, supporting high throughout low latency transactions and high performance reliable query processing. It is to bridge the performance gap between data intensive analytical jobs and online-transactions. I joined the epiC project in November 2011.


  • 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, Kaiping Zheng. SINGA: A Distributed Deep Learning Platform. ACM Multimedia, 2015.
  • Wei Wang, Gang Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, Sheng Wang. SINGA: Putting Deep Learning in the Hands of Multimedia Users. ACM Multimedia, 2015.
  • Jinyang Gao, H.V. Jagadish, Beng Chin Ooi, Sheng Wang. Selective Hashing: Closing the Gap between Radius Search and k-NN Search. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2015.
  • Sheng Wang, David Maier, Beng Chin Ooi. Lightweight Indexing of Observational Data in Log Structured Storage. Int'l Conference on Very Large Data Bases (VLDB), 2014.[code]
  • Sai Wu, Xiaoli Wang, Sheng Wang, Zhenjie Zhang, Anthony K.H. Tung: K-Anonymity for Crowdsourcing Database. IEEE Transactions on Knowledge and Data Engineering, 15 May 2013 (preprint).
  • Hoang Tam Vo, Sheng Wang, Divyakant Agrawal, Gang Chen, Beng Chin Ooi. LogBase: A Scalable Log-Structured Database System in the Cloud. Int'l Conference on Very Large Data Bases (VLDB), 2012.