| GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection QP Nguyen, KW Lim, DM Divakaran, KH Low, MC Chan 2019 IEEE Conference on Communications and Network Security (CNS), 91-99, 2019 | 130 | 2019 |
| Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon KW Lim, W Buntine Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 108 | 2014 |
| CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models V Chenthamarakshan, P Das, SC Hoffman, H Strobelt, I Padhi, KW Lim, ... Conference on Neural Information Processing Systems, 2020 | 89 | 2020 |
| Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling KW Lim, C Chen, W Buntine Twenty-seventh Annual Conference on Neural Information Processing Systems …, 2013 | 69 | 2013 |
| Bibliographic Analysis with the Citation Network Topic Model KW Lim, WL Buntine Proceedings of the Sixth Asian Conference on Machine Learning (ACML) 2014 …, 2014 | 56 | 2014 |
| Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman–Yor Processes KW Lim, W Buntine, C Chen, L Du International Journal of Approximate Reasoning, 2016 | 42 | 2016 |
| Hawkes Processes with Stochastic Excitations Y Lee, KW Lim, CS Ong Proceedings of the 33rd International Conference on Machine Learning (ICML …, 2016 | 37 | 2016 |
| Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network KW Lim, W Buntine Machine Learning 103 (2), 185-213, 2016 | 22 | 2016 |
| Simulation and calibration of a fully Bayesian marked multidimensional Hawkes process with dissimilar decays KW Lim, Y Lee, L Hanlen, H Zhao Asian Conference on Machine Learning, 238-253, 2016 | 7 | 2016 |
| On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off KW Lim, S Sanner, S Guo Proceedings of the 35th International ACM SIGIR Conference on Research and …, 2012 | 6 | 2012 |
| Cogmol: Target-specific and selective drug design for covid-19 using deep generative models. arXiv 2020 V Chenthamarakshan, P Das, SC Hoffman, H Strobelt, I Padhi, KW Lim, ... arXiv preprint arXiv:2004.01215, 2004 | 6 | 2004 |
| Explaining Chemical Toxicity Using Missing Features KW Lim, B Sharma, P Das, E Vijil, J Dordick ML Interpretability for Scientific Discovery, ICML Workshop, 1-6, 2020 | 5 | 2020 |
| Traffic Flow Modelling with Point Processes KW Lim, W Wang, H Nguyen, Y Lee, C Cai, F Chen Proceedings of the 23rd World Congress on Intelligent Transport Systems. ITS …, 2016 | 5 | 2016 |
| Nonparametric Bayesian Topic Modelling with Auxiliary Data KW Lim The Australian National University, 2016 | 2 | 2016 |
| Z−Transforms and its Inference on Partially Observable Point Processes Y Lee, TV Vo, KW Lim, H Soh Proceedings of the Twenty-Seventh International Joint Conference on …, 2018 | 1 | 2018 |
| Bayesian Analysis of Claim Run-off Triangles KW Lim The Australian National University, 2011 | 1 | 2011 |
| Improving Wirebonding Failure Classification Across Bond Recipe via Machine Learning BH Hew, KW Lim, Y Sun, YB Wang, JKY Song 2022 IEEE 24th Electronics Packaging Technology Conference (EPTC), 854-857, 2022 | | 2022 |
| CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models (preprint) V Chenthamarakshan, P Das, SC Hoffman, H Strobelt, I Padhi, KW Lim, ... | | 2020 |
| Computing MLE Bias Empirically KW Lim Tech Report, 2017 | | 2017 |
| Bayesian Bivariate Hawkes KW Lim, Y Lee, CS Ong Proceedings of the Workshop on Time Series Analytics and Applications, 13-18, 2016 | | 2016 |
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
