Publications Notes Software Background References Interesting
Rafael Oliveira, Xuesong Wang, Kian Ming A. Chai and Edwin V. Bonilla. Thompson Sampling in Function Spaces via Neural Operators. In NeurIPS 2025 (also ICML 2025 Workshop on Scaling Up Intervention Models).
Jinggui Liang, Dung Vo, Yap Hong Xian, Hai Leong Chieu, Kian Ming A. Chai, Jing Jiang and Lizi Liao. Colloquial Singaporean English Style Transfer with Fine-Grained Explainable Control. In ACL 2025.
Kian Ming A. Chai and Edwin V. Bonilla. Variational Learning of Fractional Posteriors. In ICML 2025. link repo updated
Manuj Malik, Jing Jiang and Kian Ming A. Chai. An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs. In EMNLP 2024. link
Yin Leng Angelina Wong , En Kai Ethan Kuai, Hai Leong Chieu, Liang Chi Wee and Kian Ming A. Chai. Investigating the Effectiveness of Non-pharmaceutical Interventions on COVID-19. In Proceedings of the 7th IRC Conference on Science, Engineering and Technology (IRC-SET), 2021.
Yue Chen Li, Kian Ming A. Chai and Vincent Boon Chin Seng. Incorporating Dilemma Reasoning into Modern SAT Solvers. In Proceedings of the 6th IRC Conference on Science, Engineering and Technology (IRC-SET), 2020. pdf
Davin Choo, Mate Soos, Kian Ming A. Chai and Kuldeep S. Meel. BOSPHORUS: Bridging ANF and CNF Solvers In Proceedings of Design, Automation, and Test in Europe (DATE), 2019. pdf
Yun Jie Serene Yeo, Kian Ming A. Chai, Weiping Priscilla Fan, Si Hui Maureen Lee, Junxian Ong, Poh Ling Tan, Yu Li Lydia Law and Kok-Yong Seng (2017). DP Mixture of Warped Correlated GPs for Individualized Time Series Prediction NIPS Time Series Workshop 2017. pdf
Kok-Yong Seng, Ying Chen, Kian Ming Adam Chai, Ting Wang, Chiok Yuen David Fun, Yashi Teo, Min Sze Pearl Tan, Wee Hon Ang and Jason Lee (2016). Tracking Body Core Temperature in Military Thermal Environments: An Extended Kalman Filter Approach IEEE EMBS 13th Annual International Body Sensor Networks Conference. (BSN'16)
Kok-Yong Seng, Ying Chen, Ting Wang, Adam Kian Ming Chai, David Chiok Yuen Fun, Ya Shi Teo, Pearl Min Sze Tan, Wee Hon Ang and Jason Kai Wei Lee (2016). Nonlinear mixed effects modelling for the analysis of longitudinal body core temperature data in healthy volunteers Physiol. Meas. 37 (2016) 485-502.
Peter Phandi, Kian Ming A. Chai and Hwee Tou Ng (2015). Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression. EMNLP 2015.
Chun Wei Seah, Hai Leong Chieu, Kian Ming A. Chai, Loo-Nin Teow and Lee Wei Yeong (2015). Troll detection by domain-adapting sentiment analysis. FUSION 2015.
Wei-Chen Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu and Kian Ming A. Chai (2014). Language Modeling with Sum-Product Networks. INTERSPEECH 2014. pdf
Kian Ming A. Chai (2014). Three-by-three correlation matrices: Its exact shape and a family of distributions. Linear Algebra and its Applications, 458(C):589-604. doi:10.1016/j.laa.2014.06.039 preprint
Minh Luan Nguyen, Ivor W. Tsang, Kian Ming A. Chai and Hai Leong Chieu (2014). Robust Domain Adaptation for Relation Extraction via Clustering Consistency. ACL 2014. pdf
Nguyen Viet Cuong, Wee Sun Lee, Nan Ye, Kian Ming A. Chai and Hai Leong Chieu (2013). Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion. NIPS 2013 pdf detailsdiscussions
Kian Ming A. Chai (2012). Variational Multinomial Logit Gaussian Process. JMLR vol 13. link
Jian Bo Yang, Qi Mao, Qiao Liang Xiang, Ivor W. Tsang, Kian Ming A. Chai and Hai Leong Chieu (2012). Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach. EMNLP 2012. pdf
Ye Nan, Kian Ming A. Chai, Wee Sun Lee and Hai Leong Chieu (2012). Optimizing F-measure: A Tale of Two Approaches. ICML 2012. link
Qiaoliang Xiang, Qi Mao, Kian Ming A. Chai, Hai Leong Chieu, Ivor Tsang and Zhenddong Zhao (2012). A Split-Merge Framework for Comparing Clusterings. ICML 2012. link
Yaliang Li, Jing Jiang, Hai Leong Chieu and Kian Ming A. Chai (2011). Extracting relation descriptors with conditional random fields. Proceedings of the 5th IJCNLP. pdf
Cane Wing-ki Leung, Jing Jiang, Kian Ming A. Chai, Hai Leong Chieu and Loo-Nin Teow (2011). Unsupervised Information Extraction with Distributional Prior Knowledge. EMNLP 2011. pdf
Kian Ming Adam Chai (2010). Multi-task learning with Gaussian processes. University of Edinburgh, School of Informatics, PhD Thesis. link
Kian Ming A. Chai(2009). Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes. NIPS 22. pdf details
Kian Ming A. Chai, Christopher K. I. Williams, Stefan Klanke, Sethu Vijayakumar(2009). Multi-task Gaussian Process Learning of Robot Inverse Dynamics. NIPS 21. pdf slide data
Edwin V. Bonilla, Kian Ming A. Chai, Christopher K. I. Williams(2008). Multi-task Gaussian Process Prediction.NIPS 20. pdf slide correction note
Christopher K. I. Williams, Kian Ming A. Chai, Edwin V. Bonilla (2007). A Note on Noise-free Gaussian Process Prediction with Separable Covariance Functions and Grid Designs.Informatics Research Report, December 2007. pdf
Kian Ming Adam Chai (2005). Expectation of f-measures: tractable exact computation and some empirical observations of its properties. SIGIR 2005: 593-594. pdf
Kian Ming Adam Chai, Hwee Tou Ng, Hai Leong Chieu (2002). Bayesian Online Classifiers for Text Classification and Filtering. Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002). (pp. 97-104). Tampere, Finland. ps.gz
Kian Ming A. Chai (2009, Feb) Some relations between Gaussian process binary classification, Multivariate skew normal, and Maximising correlations.
Kian Ming Adam Chai(1999) Training GTM using stochastic sampling methods.
umatlab: Wrapper for matrix programming in C++.
GPML: Gaussian process (ML flavoured) in C++.
opt2up: Calculates pstops parameters for "optimal" 2-up placements in A4 paper.
latex_picture: Graphical interface for drawing pictures in latex picture/pict2e environment.
Sep 2024 till May 2025
Visiting CSIRO's Data61 (Australia); Machine Learning and Data Science Unit in Okinawa Institute of Science and Technology (Japan); and University of Oxford's Department of Statistics (the UK).
Jan 2010 onwards
Senior Member of Technical Staff, Principal Member of Technical Staff, DSO National Laboratories
Sep 2006 till Mar 2010
PhD student, Supervisor: Prof Chris Williams
Jul 2001 to Aug 2006
Member of Technical Staff, Senior Member of Technical Staff, DSO National Laboratories
Nov 1999 to Jun 2001
National Service (full-time), Combat Engineer (Bridging), Singapore
Sep 1998 to Sep 1999
MSc Artificial Intelligence (Non-symbolic), Department of Artificial Intelligence, University of Edinburgh
Oct 1995 to Jun 1998
B.A(Hons) Computer Science, Computer Laboratory; Christ's College, University of Cambridge
Further Back CV
Luc Devroye, László Györfi and Gábor Lugosi Based on the Appendix of the textbook: A Probabilistic Theory of Pattern Recognition
Matrix Cookbook
Fisher The nature of probability
Joseph B. Kadane Principles of Uncertainty
Max Welling A First Encounter with Machine Learning
Shai Shalev-Shwartz and Shai Ben-David Understanding Machine Learning: From Theory to Algorithms
John Langford Hal Daumé III Andrew Gelman Wray Buntine Terence Tao
D. Hestenes 1992 Mathematical Viruses. Clifford Algebras and their Applications in Mathematical Physics, 1992 (A. Micali et al, Ed.), Kluwer Academic Publishers, Dordrecht.
Georg Franck 1999 Scientific Communication--A Vanity Fair? Science 1 October 1999: Vol. 286. no. 5437, pp. 53 - 55
Marty Tysanner 2008 Response to "Update on Plagiarism Scandal" January 20th, 2008 at 4:25 am
Brian Hayes 2001 Third Base American Scientist Vol. 89 no. 6, pp. 490-494
Richard Feynman 1966 What is Science? (reprint)The Physics Teacher Vol. 7, issue 6, 1968, pp. 313-320
Andrew Gelman 2008 I hate BIC blah blah blah October 23, 2008
Anderson 1972 More is Different
Josh Clark 2016 Make It Magic – User Experience and the Internet of Things October 11, 2016
Gordon Pennycook, James Allan Cheyne, Nathaniel Barr, Derek J. Koehler and Jonathan A. Fugelsang 2015 On the reception and detection of pseudo-profound bullshit Judgment and Decision Making, Vol. 10, No. 6, November 2015, pp. 549-563. Associated sites:Random Deepak Chopra Quote Generator; New Age Bullshit Generator
Jacob Buckman 2023 I'm Not Worried About An AI Apocalypse May 22, 2023
Richard Hamming 1986 (J. F. Kaiser ed) You and Your Research March 7, 1986
Rich Sutton 2019. The Bitter Lesson March 13, 2019
Edsger W. Dijkstra 1976-1979. On the foolishness of "natural language programming"
Edsger W. Dijkstra 2021. The End of Computer Science? March 1, 2021
Isaac Asimov: The saddest aspect of life right now is that science gathers knowledge faster than society gathers wisdom.
Arthur C. Clarke: Any sufficiently advanced technology is indistinguishable from magic.
Elbert Hubbard: One machine can do the work of 50 ordinary man. No machine can do the work of one extraordinary man.
Frederick Mosteller: While it is easy to lie with statistics, it is even easier to lie without them.
Albert Einstein: It's not that I'm so smart, it's just that I stay with problems longer.
John D. Barrow: If a 'religion' is defined to be a system of ideas that contains unprovable statements, then Gödel taught us that mathematics is not only a religion, it is the only religion that can prove itself to be one.
Winston Churchill: We must have a better word than 'prefabricated'. Why not 'ready-made'?
Heinrich Hertz: It's of no use whatsoever... just an experiment that proves Maestro Maxwell was right - we just have these mysterious electromagnetic waves that we cannot see with the naked eye. But they are there.
Winston Churchill: Success consists of going from failure to failure without loss of enthusiasm.
Rabindranath Tagore: You can't cross the sea merely by standing and staring at the water.
Richard P. Feynman: ... to teach that doubt is not to be feared, but that it is to be welcomed as the possibility of a new potential for human beings. If you know that you are not sure, you have a chance to improve the situation.
Neil Bohr: Never express yourself more clearly than you think.
Richard P. Feynman: Hence, what is not surrounded by uncertainty cannot be the truth.
Bob Dylan: He not busy being born is busy dying.
Igor Sikorsky: According to the laws of aerodynamics, the bumblebee can’t fly either, but the bumblebee doesn’t know anything about the laws of aerodynamics, so it goes ahead and flies anyway.
Shunryu Suzuki: In the beginner's mind there are many possibilities, in the expert's mind there are few.
W. Edwards Deming: Small wonder that students have trouble. They may be trying to think.
Richard Hamming (via Alan Chynoweth): There are wavelengths that people cannot see, there are sounds that people cannot hear, and maybe computers have thoughts that people cannot think.
Edsger W. Dijkstra: ... computing’s central challenge, "How not to make a mess of it," has not been met.
Charles Antony Richard Hoare: The price of reliability is the pursuit of the utmost simplicity.