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 (WWW, 2004)

Learning the structure of Markov logic networks. - Stanley Kok; Pedro M. Domingos (ICML, 2005)

Unifying Logical and Statistical AI. - Pedro M. Domingos; Stanley Kok; Hoifung Poon; Matthew Richardson; Parag Singla (AAAI, 2006)

Statistical predicate invention. - Stanley Kok; Pedro M. Domingos (ICML, 2007)

Markov Logic. - Pedro M. Domingos; Stanley Kok; Daniel Lowd; Hoifung Poon; Matthew Richardson; Parag Singla (Probabilistic Inductive Logic Programming, 2008)

Extracting Semantic Networks from Text Via Relational Clustering. - Stanley Kok; Pedro M. Domingos (ECML/PKDD (1), 2008)

Just Add Weights: Markov Logic for the Semantic Web. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Hoifung Poon; Matthew Richardson; Parag Singla (URSW (LNCS Vol.), 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 (SSPR/SPR, 2008)

Learning Markov logic network structure via hypergraph lifting. - Stanley Kok; Pedro M. Domingos (ICML, 2009)

Hypergraph Lifting for Structure Learning in Markov Logic Networks. - Stanley Kok; Pedro M. Domingos (MLG/SRL@ILP, 2009)

Markov Logic: A Language and Algorithms for Link Mining. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (Link Mining, 2010)

Using Structural Motifs for Learning Markov Logic Networks. - Stanley Kok; Pedro M. Domingos (StarAI@AAAI, 2010)

Learning Markov Logic Networks Using Structural Motifs. - Stanley Kok; Pedro M. Domingos (ICML, 2010)

Hitting the Right Paraphrases in Good Time. - Stanley Kok; Chris Brockett (HLT-NAACL, 2010)

Collective graph identification. - Galileo Namata; Stanley Kok; Lise Getoor (KDD, 2011)

Language modeling with sum-product networks. - Wei-Chen Cheng; Stanley Kok; Hoai Vu Pham; Hai Leong Chieu; Kian Ming Adam Chai (INTERSPEECH, 2014)

CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. - Ju Fan; Meihui Zhang 001; Stanley Kok; Meiyu Lu; Beng Chin Ooi (IEEE Trans. Knowl. Data Eng., 2015)

Efficient representation learning for high-dimensional imbalance data. - Bilal Mirza; Stanley Kok; Zhiping Lin 001; Yong Kiang Yeo; Xiaoping Lai; Jiuwen Cao; Jose Sepulveda (DSP, 2016)

Unifying Logical and Statistical AI. - Pedro M. Domingos; Daniel Lowd; Stanley Kok; Aniruddh Nath; Hoifung Poon; Matthew Richardson; Parag Singla (LICS, 2016)

Unconstrained Production Categorization with Sequence-to-Sequence Models. - Maggie Yundi Li; Liling Tan; Stanley Kok; Ewa Szymanska (eCOM@SIGIR, 2018)

Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. - Maggie Yundi Li; Stanley Kok; Liling Tan (CoRR, 2018)

Probabilistic Logic Graph Attention Networks for Reasoning. - L. Vivek Harsha Vardhan; Guo Jia; Stanley Kok (WWW (Companion Volume), 2020)

E-Commerce Product Categorization via Machine Translation. - Liling Tan; Maggie Yundi Li; Stanley Kok (ACM Trans. Manag. Inf. Syst., 2020)

BiQUE: Biquaternionic Embeddings of Knowledge Graphs. - Jia Guo; Stanley Kok (EMNLP (1), 2021)

Interpretable Predictive Models for Healthcare via Rational Logistic Regression. - Thiti Suttaket; L. Vivek Harsha Vardhan; Stanley Kok (ICIS, 2021)

Referent graph embedding model for name entity recognition of Chinese car reviews. - Zhao Fang; Qiang Zhang 010; Stanley Kok; Ling Li; Anning Wang; Shanlin Yang (Knowl. Based Syst., 2021)

In-Training Multicalibrated Survival Analysis For Healthcare via Constrained Optimization. - Thiti Suttaket; Stanley Kok (ICIS, 2022)

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. - Jia Guo; Liying Cheng; Wenxuan Zhang 001; Stanley Kok; Xin Li 056; Lidong Bing (ACL (Findings), 2023)

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. - Jia Guo; Stanley Kok; Lidong Bing (EACL, 2023)

Explainable Risk Classification in Financial Reports. - Xue Wen Tan; Stanley Kok (ICIS, 2023)

Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs. - Yan Sun; Stanley Kok (ICIS, 2024)

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams. - Xue Wen Tan; Kenneth See; Stanley Kok (ICIS, 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)

Interpretable Predictive Models for Healthcare via Rational Multi-Layer Perceptrons. - Thiti Suttaket; Stanley Kok (ACM Trans. Manag. Inf. Syst., 2024)

Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation. - Yan Sun; Stanley Kok (ICLR, 2025)

SMARTe: Slot-based Method for Accountable Relational Triple extraction. - Xue Wen Tan; Stanley Kok (CoRR, 2025)

Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks. - Junyi Liu; Stanley Kok (CoRR, 2025)

Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach. - Xue Wen Tan; Stanley Kok (CoRR, 2025)

Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams. - Xue Wen Tan; Kenneth See; Stanley Kok (CoRR, 2025)