Profile
Anthony K. H. Tung is a Professor at the National University of Singapore, working across database systems, data mining, information retrieval, and trustworthy, deployable AI for operational decision-making.
His current unifying theme is Prudent AI for High-Stakes, Data-Scarce Operational Systems: right-sized, interpretable, auditable, and robust AI for domains where data are scarce, labels are limited, events are rare, and deployment constraints matter.
The program threads interpretable methods into reliable systems and lightweight, deployable tools across text, time-series, tabular, and longitudinal data — connecting methods, systems, and measurable operational outcomes across manufacturing, cybersecurity, and finance/crypto. A second strand views AI as connective infrastructure that elevates collective human potential.
Research
Beyond the overview
The figure now carries the layer-by-layer program structure, so this section avoids repeating another set of layer cards. The remaining notes emphasize cross-cutting directions that extend beyond the diagram.
Selected Publications
Full bibliography & citation counts → DBLP · Google Scholar · ACL Anthology · recent papers (combined PDF)
Patents & Applications
Software, Benchmarks & Artifacts
Recognition & Engagement
Awards & Recognition
Professional Service
- Research PC Co-Chair, VLDB 2012 · Vice PC Chair, ICDE 2012
- Workshop Chair, VLDB 2010 · Poster Chair, WWW 2010 · Vice PC Chair, ICDE 2009
- Vice PC Chair (Pre-processing), SIAM SDM 2007 · Co-PC Chair, COMAD 2006
- PC member & reviewer for SIGMOD, VLDB, ICDE, KDD, ICML, ACL/EMNLP, and IEEE TKDE
Teaching & Mentoring
- CS5344 — Big-Data Analytics Technology; graduate & undergraduate modules in database systems, data mining, search & AI systems
- Supervision across Ph.D., Master of Computing & undergraduate research — time-series, trustworthy NLP, retrieval, privacy & AI deployment
- Research leadership over teams on interpretable embeddings, diverse retrieval, fact verification, time-series generation, anomaly detection & financial AI
Industry Partners
Government Engagement
Appointments & Leadership
Education
Media & Public Engagement
2026
2025
2024 & Earlier
On Research & Learning
To be constantly learning and practicing what you learn — isn't it the greatest joy of all? To have bosom friends who share your learning from all over the world — doesn't it bring the greatest happiness? To be unknown to people and yet remain undisturbed — isn't that the mark of the most virtuous? — The Analects of Confucius (论语), Chapter 1:1
The world is beautiful because there are similarities and differences. Similarities let us understand one another; differences make each of us unique and interesting.
In human relationships we respect friendship and seniority; in science and mathematics, we respect the truth.
It is more satisfying to help the weak to improve than to make the strong stronger.
The beauty of life comes from having choices among the no-choices — and from what we do with the talent we are given.