Stanley Kok

According to our database, Stanley Kok authored at least 39 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams.

Xue Wen Tan, Kenneth See, Stanley Kok

CoRR, July, 2025

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach.

Xue Wen Tan, Stanley Kok

CoRR, June, 2025

Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks.

Junyi Liu, Stanley Kok

CoRR, June, 2025

SMARTe: Slot-based Method for Accountable Relational Triple extraction.

Xue Wen Tan, Stanley Kok

CoRR, April, 2025

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation.

Yan Sun, Stanley Kok

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Interpretable Predictive Models for Healthcare via Rational Multi-Layer Perceptrons.

Thiti Suttaket, Stanley Kok

ACM Trans. Manag. Inf. Syst., September, 2024

SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages.

Jia Guo, Longxu Dou, Guangtao Zeng, Stanley Kok, Wei Lu, Qian Liu

CoRR, 2024

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams.

Xue Wen Tan, Kenneth See, Stanley Kok

Proceedings of the 45th International Conference on Information Systems, 2024

Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs.

Yan Sun, Stanley Kok

Proceedings of the 45th International Conference on Information Systems, 2024

2023

Explainable Risk Classification in Financial Reports.

Xue Wen Tan, Stanley Kok

Proceedings of the 44th International Conference on Information Systems, 2023

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction.

Jia Guo, Stanley Kok, Lidong Bing

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach.

Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

In-Training Multicalibrated Survival Analysis For Healthcare via Constrained Optimization.

Thiti Suttaket, Stanley Kok

Proceedings of the 43rd International Conference on Information Systems, 2022

2021

Referent graph embedding model for name entity recognition of Chinese car reviews.

Zhao Fang, Qiang Zhang, Stanley Kok, Ling Li, Anning Wang, Shanlin Yang

Knowl. Based Syst., 2021

Interpretable Predictive Models for Healthcare via Rational Logistic Regression.

Thiti Suttaket, L. Vivek Harsha Vardhan, Stanley Kok

Proceedings of the 42nd International Conference on Information Systems, 2021

BiQUE: Biquaternionic Embeddings of Knowledge Graphs.

Jia Guo, Stanley Kok

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

E-Commerce Product Categorization via Machine Translation.

Liling Tan, Maggie Yundi Li, Stanley Kok

ACM Trans. Manag. Inf. Syst., 2020

Probabilistic Logic Graph Attention Networks for Reasoning.

L. Vivek Harsha Vardhan, Guo Jia, Stanley Kok

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2018

Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation.

Maggie Yundi Li, Stanley Kok, Liling Tan

CoRR, 2018

Unconstrained Production Categorization with Sequence-to-Sequence Models.

Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska

Proceedings of the SIGIR 2018 Workshop On eCommerce co-located with the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018), 2018

2016

Unifying Logical and Statistical AI.

Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, 2016

Efficient representation learning for high-dimensional imbalance data.

Bilal Mirza, Stanley Kok, Zhiping Lin, Yong Kiang Yeo, Xiaoping Lai, Jiuwen Cao, Jose Sepulveda

Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

CrowdOp: Query optimization for declarative crowdsourcing systems.

Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2014

Language modeling with sum-product networks.

Wei-Chen Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu, Kian Ming Adam Chai

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2011

Collective graph identification.

Galileo Namata, Stanley Kok, Lise Getoor

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Hitting the Right Paraphrases in Good Time.

Stanley Kok, Chris Brockett

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Learning Markov Logic Networks Using Structural Motifs.

Stanley Kok, Pedro M. Domingos

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Using Structural Motifs for Learning Markov Logic Networks.

Stanley Kok, Pedro M. Domingos

Proceedings of the Statistical Relational Artificial Intelligence, 2010

Markov Logic: A Language and Algorithms for Link Mining.

Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the Link Mining: Models, Algorithms, and Applications, 2010

2009

Hypergraph Lifting for Structure Learning in Markov Logic Networks.

Stanley Kok, Pedro M. Domingos

Proceedings of the Joint 7th Workshop on Mining and Learning with Graphs and the 6th International Workshop on Statistical Relational Learning, 2009

Learning Markov logic network structure via hypergraph lifting.

Stanley Kok, Pedro M. Domingos

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.

Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang

Proceedings of the Structural, 2008

Just Add Weights: Markov Logic for the Semantic Web.

Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the Uncertainty Reasoning for the Semantic Web I, 2008

Extracting Semantic Networks from Text Via Relational Clustering.

Stanley Kok, Pedro M. Domingos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Markov Logic.

Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the Probabilistic Inductive Logic Programming - Theory and Applications, 2008

2007

Statistical predicate invention.

Stanley Kok, Pedro M. Domingos

Proceedings of the Machine Learning, 2007

2006

Unifying Logical and Statistical AI.

Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla

Proceedings of the Proceedings, 2006

2005

Learning the structure of Markov logic networks.

Stanley Kok, Pedro M. Domingos

Proceedings of the Machine Learning, 2005

2004

Web-scale information extraction in knowitall: (preliminary results).

Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates

Proceedings of the 13th international conference on World Wide Web, 2004