Tin Lok James Ng

13 papers A* 1A 1B 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction.
CoRR
Zhouting Zhao, Tin Lok James Ng
2024 A conf
A Generalized Bayesian Approach to Distribution-on-Distribution Regression.
UAI
Tin Lok James Ng
2024 J jnl
Mixture modeling with normalizing flows for spherical density estimation.
Adv. Data Anal. Classif.
Tin Lok James Ng, Andrew Zammit-Mangion
2023 — conf
Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction.
AICS
Hanyang Chen, Zhouting Zhao, Tin Lok James Ng
2023 — conf
Fairness-Aware Processing Techniques in Survival Analysis: Promoting Equitable Predictions.
ECML/PKDD (6)
Zhouting Zhao, Tin Lok James Ng
2022 J jnl
Model-based clustering for random hypergraphs.
Adv. Data Anal. Classif.
Tin Lok James Ng, Thomas Brendan Murphy
2021 J jnl
Fact Check: Analyzing Financial Events from Multilingual News Sources.
CoRR
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2021 J jnl
Model-based Clustering of Count Processes.
J. Classif.
Tin Lok James Ng, Thomas Brendan Murphy
2021 J jnl
Posterior Regularisation on Bayesian Hierarchical Mixture Clustering.
CoRR
Weipéng Huáng, Tin Lok James Ng, Nishma Laitonjam, Neil J. Hurley
2020 B conf
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.
COLING
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020 J jnl
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.
CoRR
Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020 A* conf
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction.
WWW
Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2017 — conf
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction.
AICS
Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong