Tin Lok James Ng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

Top Topics

Dependency Trees

Top Venues

Adv. Data Anal. Classif.

Publications

Tin Lok James Ng, Andrew Zammit-Mangion
Mixture modeling with normalizing flows for spherical density estimation. Adv. Data Anal. Classif. 18 (1) (2024)
Hanyang Chen, Zhouting Zhao, Tin Lok James Ng
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction. AICS (2023)
Zhouting Zhao, Tin Lok James Ng
Fairness-Aware Processing Techniques in Survival Analysis: Promoting Equitable Predictions. ECML/PKDD (6) (2023)
Tin Lok James Ng, Thomas Brendan Murphy
Model-based clustering for random hypergraphs. Adv. Data Anal. Classif. 16 (3) (2022)
Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering. CoRR (2021)
Tin Lok James Ng, Thomas Brendan Murphy
Model-based Clustering of Count Processes. J. Classif. 38 (2) (2021)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR (2021)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING (2020)
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR (2020)
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW (2020)
Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS (2017)