| 2026 | AAAI | Practical Global and Local Bounds in Gaussian Process Regression via Chaining. | Junyi Liu, Stanley Kok |
| 2025 | ICIS | Bias Mitigation in Large Language Models: Streamed Correction of Chain-of-Thought. | Junyi Liu, Stanley Kok |
| 2025 | ICIS | Toward Interactive Web Agents: Proactive Feedback through Hidden Markov-Based Decision Modeling. | Yan Sun, Stanley Kok |
| 2025 | ICLR | Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation. | Yan Sun, Stanley Kok |
| 2024 | ICIS | Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs. | Yan Sun, Stanley Kok |
| 2024 | ICIS | ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams. | Xue Wen Tan, Kenneth See, Stanley Kok |
| 2023 | ACL | AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. | Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing |
| 2023 | EACL | Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. | Jia Guo, Stanley Kok, Lidong Bing |
| 2023 | ICIS | Explainable Risk Classification in Financial Reports. | Xue Wen Tan, Stanley Kok |
| 2022 | ICIS | In-Training Multicalibrated Survival Analysis For Healthcare via Constrained Optimization. | Thiti Suttaket, Stanley Kok |
| 2021 | EMNLP | BiQUE: Biquaternionic Embeddings of Knowledge Graphs. | Jia Guo, Stanley Kok |
| 2021 | ICIS | Interpretable Predictive Models for Healthcare via Rational Logistic Regression. | Thiti Suttaket, L. Vivek Harsha Vardhan, Stanley Kok |
| 2020 | WWW | Probabilistic Logic Graph Attention Networks for Reasoning. | L. Vivek Harsha Vardhan, Guo Jia, Stanley Kok |
| 2018 | SIGIR | Unconstrained Production Categorization with Sequence-to-Sequence Models. | Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska |
| 2016 | ICDE | CrowdOp: Query optimization for declarative crowdsourcing systems. | Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi |
| 2016 | LICS | Unifying Logical and Statistical AI. | Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2014 | Interspeech | Language modeling with sum-product networks. | Wei-Chen Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu, Kian Ming Adam Chai |
| 2011 | KDD | Collective graph identification. | Galileo Namata, Stanley Kok, Lise Getoor |
| 2010 | AAAI | Using Structural Motifs for Learning Markov Logic Networks. | Stanley Kok, Pedro M. Domingos |
| 2010 | ICML | Learning Markov Logic Networks Using Structural Motifs. | Stanley Kok, Pedro M. Domingos |
| 2010 | NAACL | Hitting the Right Paraphrases in Good Time. | Stanley Kok, Chris Brockett |
| 2009 | ICML | Learning Markov logic network structure via hypergraph lifting. | Stanley Kok, Pedro M. Domingos |
| 2008 | SSPR | 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 |
| 2007 | ICML | Statistical predicate invention. | Stanley Kok, Pedro M. Domingos |
| 2006 | AAAI | Unifying Logical and Statistical AI. | Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
| 2005 | ICML | Learning the structure of Markov logic networks. | Stanley Kok, Pedro M. Domingos |
| 2004 | WWW | 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 |