Kar Wai Lim

Orcid: 0000-0003-0979-1956

According to our database1, Kar Wai Lim authored at least 13 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2020
Explaining Chemical Toxicity using Missing Features.
CoRR, 2020

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
CoRR, 2020

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018
Z-Transforms and its Inference on Partially Observable Point Processes.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016
Bibliographic analysis on research publications using authors, categorical labels and the citation network.
Mach. Learn., 2016

Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes.
Int. J. Approx. Reason., 2016

Twitter-Network Topic Model: A Full Bayesian Treatment for Social Network and Text Modeling.
CoRR, 2016

Hawkes Processes with Stochastic Excitations.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2014
Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Bibliographic Analysis with the Citation Network Topic Model.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2012
On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012


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