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Kar Wai Lim
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2020 – today
- 2020
- [c8]Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic:
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS 2020 - [i10]Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic:
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR abs/2004.01215 (2020) - [i9]Kar Wai Lim, Bhanushee Sharma, Payel Das, Vijil Chenthamarakshan, Jonathan S. Dordick:
Explaining Chemical Toxicity using Missing Features. CoRR abs/2009.12199 (2020)
2010 – 2019
- 2019
- [c7]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CNS 2019: 91-99 - [i8]Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, Kian Hsiang Low, Mun Choon Chan:
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection. CoRR abs/1903.06661 (2019) - 2018
- [c6]Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh:
Z-Transforms and its Inference on Partially Observable Point Processes. IJCAI 2018: 2369-2375 - 2016
- [j2]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. 78: 172-191 (2016) - [j1]Kar Wai Lim, Wray L. Buntine:
Bibliographic analysis on research publications using authors, categorical labels and the citation network. Mach. Learn. 103(2): 185-213 (2016) - [c5]Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao:
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays. ACML 2016: 238-253 - [c4]Young Lee, Kar Wai Lim, Cheng Soon Ong:
Hawkes Processes with Stochastic Excitations. ICML 2016: 79-88 - [i7]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis on Research Publications using Authors, Categorical Labels and the Citation Network. CoRR abs/1609.06532 (2016) - [i6]Kar Wai Lim, Scott Sanner, Shengbo Guo:
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off. CoRR abs/1609.06568 (2016) - [i5]Kar Wai Lim, Wray L. Buntine:
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CoRR abs/1609.06578 (2016) - [i4]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes. CoRR abs/1609.06783 (2016) - [i3]Kar Wai Lim, Changyou Chen, Wray L. Buntine:
Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling. CoRR abs/1609.06791 (2016) - [i2]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis with the Citation Network Topic Model. CoRR abs/1609.06826 (2016) - [i1]Young Lee, Kar Wai Lim, Cheng Soon Ong:
Hawkes Processes with Stochastic Excitations. CoRR abs/1609.06831 (2016) - 2014
- [c3]Kar Wai Lim, Wray L. Buntine:
Bibliographic Analysis with the Citation Network Topic Model. ACML 2014 - [c2]Kar Wai Lim, Wray L. Buntine:
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon. CIKM 2014: 1319-1328 - 2012
- [c1]Kar Wai Lim, Scott Sanner, Shengbo Guo:
On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off. SIGIR 2012: 1117-1118
Coauthor Index
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