Publications

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic. In arXiv preprint arXiv:2004.01215. 2020. [paper] [arxiv] [bibtex]

Explaining Chemical Toxicity Using Missing Features
Kar Wai Lim, Bhanushee Sharma, Payel Das, Vijil Chenthamarakshan, Jonathan S. Dordick. ML Interpretability for Scientific Discovery, ICML Workshop. 2020. [paper] [arxiv] [bibtex]

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan. In Proceedings of the 7th IEEE Conference on Communications and Network Security (CNS), pp. 91-99. IEEE. 2019. [link] [paper] [arxiv] [bibtex]

Z−Transforms and its Inference on Partially Observable Point Processes
Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI), pp. 2369-2375. IJCAI. 2018. [link] [paper] [bibtex]

Bayesian Bivariate Hawkes
Kar Wai Lim, Young Lee, Cheng Soon Ong. In Proceedings of the Workshop on Time Series Analytics and Applications (TSAA), pp. 13-18. ACM. 2016. [link] [paper] [bibtex]

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays
Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao. In Proceedings of the 6th Asian Conference on Machine Learning (ACML), pp. 238-253. JMLR. 2016. [link] [paper] [slides1] [slides2] [code] [best paper award] [arxiv] [bibtex]

Traffic Flow Modelling with Point Processes
Kar Wai Lim, Weihong Wang, Hoang Nguyen, Young Lee, Chen Cai, Fang Chen. In Proceedings of the 23rd World Congress on Intelligent Transport Systems. ITS. 2016. [link] [paper] [slides] [bibtex]

Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes
Kar Wai Lim, Wray Buntine, Changyou Chen, Lan Du. International Journal of Approximate Reasoning, Volume 78, pp. 172-191. Elsevier. 2016. [link] [paper] [arxiv] [bibtex]

Hawkes Processes with Stochastic Excitations
Young Lee, Kar Wai Lim, Cheng Soon Ong. In Proceedings of the 33rd International Conference on Machine Learning (ICML), pp. 79-88. JMLR. 2016. [link] [paper] [supplementary] [poster] [slides] [arxiv] [bibtex]

Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network
Kar Wai Lim, Wray Buntine. Machine Learning, Volume 103, Issue 2, pp 185-213. Springer. 2016. [link] [paper] [data] [readme] [arxiv] [bibtex]

Bibliographic Analysis with the Citation Network Topic Model
Kar Wai Lim, Wray Buntine. In Proceedings of the 6th Asian Conference on Machine Learning (ACML), pp. 142-158. JMLR. 2014. [link] [paper] [supplementary] [poster] [slides] [arxiv] [bibtex]

Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon
Kar Wai Lim, Wray Buntine. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), pp. 1319-1328. ACM. 2014. [link] [paper] [supplementary] [slides1] [slides2] [arxiv] [bibtex]

Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling
Kar Wai Lim, Changyou Chen, Wray Buntine. Workshop paper. NIPS 2013 Topic Models: Computation, Application, and Evaluation, pp. 1-5. Google Sites. 2013. [link] [paper] [supplementary] [poster] [arxiv] [bibtex]

On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off
Kar Wai Lim, Scott Sanner, Shengbo Guo. In Proceedings of the 35th Annual ACM SIG Information Retrieval Conference (SIGIR), pp. 1117-1118. ACM. 2012. [link] [paper] [appendix] [poster] [slides1] [slides2] [arxiv] [bibtex]