dbRouter - A Scaleable and Distributed Query Optimization and Processing Framework. - Wee Hyong Tok; Stéphane Bressan (DEXA, 2002)

Efficient and Adaptive Processing of Multiple Continuous Queries. - Wee Hyong Tok; Stéphane Bressan (EDBT, 2002)

Data Cleaning and XML: The DBLP Experience. - Wai Lup Low; Wee Hyong Tok; Mong-Li Lee; Tok Wang Ling (ICDE, 2002)

Predator-Miner: Ad hoc Mining of Associations Rules within a Database Management System. - Wee Hyong Tok; Twee-Hee Ong; Wai Lup Low; Indriyati Atmosukarto; Stéphane Bressan (ICDE, 2002)

Efficient Distributed CQ Processing using Peers. - Wee Siong Ng; Beng Chin Ooi; Yanfeng Shu; Kian-Lee Tan; Wee Hyong Tok (WWW (Posters), 2003)

An adaptable distributed query processing architecture. - Yongluan Zhou; Beng Chin Ooi; Kian-Lee Tan; Wee Hyong Tok (Data Knowl. Eng., 2005)

Processing of Multiple Long-Running Queries in LargeScale Geo-Data Repositories. - Wee Hyong Tok; Stéphane Bressan (DEXA Workshops, 2006)

DBNet: A Service-Oriented Database Architecture. - Wee Hyong Tok; Stéphane Bressan (DEXA Workshops, 2006)

Progressive Spatial Join. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (SSDBM, 2006)

RRPJ: Result-Rate Based Progressive Relational Join. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (DASFAA, 2007)

Danaïdes: Continuous and Progressive Complex Queries on RSS Feeds. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (DASFAA, 2007)

Progressive High-Dimensional Similarity Join. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (DEXA, 2007)

Twig'n Join: Progressive Query Processing of Multiple XML Streams. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (DASFAA, 2008)

A stratified approach to progressive approximate joins. - Wee Hyong Tok; Stéphane Bressan; Mong-Li Lee (EDBT, 2008)

Consistent Top-k Queries over Time. - Mong-Li Lee; Wynne Hsu; Ling Li; Wee Hyong Tok (DASFAA, 2009)

Distributed Deadlock Management. - Wee Hyong Tok (Encyclopedia of Database Systems, 2009)

Distributed Transaction Management. - Wee Hyong Tok (Encyclopedia of Database Systems, 2009)

A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm. - Xuesong Lu; Wee Hyong Tok; Chedy Raïssi; Stéphane Bressan (DASFAA (1), 2010)

Efficient similarity matching of Time Series Cliques with natural relations. - Zhe Zhao 001; Bin Cui 001; Wee Hyong Tok; Jiakui Zhao (ICDE, 2010)

A Framework for Similarity Search of Time Series Cliques with Natural Relations. - Bin Cui 001; Zhe Zhao 001; Wee Hyong Tok (IEEE Trans. Knowl. Data Eng., 2012)

Progressive and Approximate Join Algorithms on Data Streams. - Wee Hyong Tok; Stéphane Bressan (Advanced Query Processing (1), 2013)

Predictive Analytics with Microsoft Azure Machine Learning - Build and Deploy Actionalbe Solutions in Minutes, Second Edition. - Roger S. Barga; Valentine Fontama; Wee Hyong Tok (Apress, 2015)

Distributed Deadlock Management. - Wee Hyong Tok (Encyclopedia of Database Systems (2nd ed.), 2018)

Distributed Transaction Management. - Wee Hyong Tok (Encyclopedia of Database Systems (2nd ed.), 2018)

From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions. - Ankur Teredesai; Michael Zeller; Shenghua Bao; Wee Hyong Tok; Linsey Pang (KDD, 2023)

KDD 2024 Special Day - AI for Environment. - Karina Gibert; Wee Hyong Tok; Miquel Sànchez-Marrè (KDD, 2024)

The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. - Ankur Teredesai; Michael Zeller; Mohak Shah; Shenghua Bao; Wee Hyong Tok; Linsey Pang (KDD, 2024)

NL2Code-Reasoning and Planning with LLMs for Code Development. - Ye Xing; Jun Huan; Wee Hyong Tok; Cong Shen 001; Johannes Gehrke; Katherine Lin; Arjun Guha; Omer Tripp; Murali Krishna Ramanathan (KDD, 2024)