Stanley Kok - RankMe

56 papers A* 11A 2C 7Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Practical Global and Local Bounds in Gaussian Process Regression via Chaining. AAAI Junyi Liu, Stanley Kok
2026	J	`jnl`	Talk Less, Verify More: Improving LLM Assistants with Semantic Checks and Execution Feedback. CoRR Yan Sun, Ming Cai, Stanley Kok
2025	J	`jnl`	Anticipate, Simulate, Reason (ASR): A Comprehensive Generative AI Framework for Combating Messaging Scams. CoRR Xue Wen Tan, Kenneth See, Stanley Kok
2025	C	`conf`	Bias Mitigation in Large Language Models: Streamed Correction of Chain-of-Thought. ICIS Junyi Liu, Stanley Kok
2025	J	`jnl`	Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration. CoRR Yan Sun, Jia Guo, Stanley Kok, Zihao Wang, Zujie Wen, Zhiqiang Zhang
2025	J	`jnl`	Explainable AI for Comprehensive Risk Assessment for Financial Reports: A Lightweight Hierarchical Transformer Network Approach. CoRR Xue Wen Tan, Stanley Kok
2025	J	`jnl`	In-Training Multicalibrated Survival Analysis for Healthcare via Constrained Optimization. CoRR Thiti Suttaket, Stanley Kok
2025	J	`jnl`	Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs. CoRR Yan Sun, Stanley Kok
2025	J	`jnl`	Practical Global and Local Bounds in Gaussian Process Regression via Chaining. CoRR Junyi Liu, Stanley Kok
2025	J	`jnl`	Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks. CoRR Junyi Liu, Stanley Kok
2025	J	`jnl`	SMARTe: Slot-based Method for Accountable Relational Triple extraction. CoRR Xue Wen Tan, Stanley Kok
2025	J	`jnl`	Sentiment-Aware Extractive and Abstractive Summarization for Unstructured Text Mining. CoRR Junyi Liu, Stanley Kok
2025	J	`jnl`	The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models. CoRR Xue Wen Tan, Nathaniel Tan, Galen Lee, Stanley Kok
2025	C	`conf`	Toward Interactive Web Agents: Proactive Feedback through Hidden Markov-Based Decision Modeling. ICIS Yan Sun, Stanley Kok
2025	A*	`conf`	Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation. ICLR Yan Sun, Stanley Kok
2024	J	`jnl`	Explainable Risk Classification in Financial Reports. CoRR Xue Wen Tan, Stanley Kok
2024	J	`jnl`	Interpretable Predictive Models for Healthcare via Rational Logistic Regression. CoRR Thiti Suttaket, L. Vivek Harsha Vardhan, Stanley Kok
2024	J	`jnl`	Interpretable Predictive Models for Healthcare via Rational Multi-Layer Perceptrons. ACM Trans. Manag. Inf. Syst. Thiti Suttaket, Stanley Kok
2024	C	`conf`	Investigating the Effects of Cognitive Biases in Prompts on Large Language Model Outputs. ICIS Yan Sun, Stanley Kok
2024	J	`jnl`	SailCompass: Towards Reproducible and Robust Evaluation for Southeast Asian Languages. CoRR Jia Guo, Longxu Dou, Guangtao Zeng, Stanley Kok, Wei Lu, Qian Liu
2024	C	`conf`	ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams. ICIS Xue Wen Tan, Kenneth See, Stanley Kok
2024	J	`jnl`	ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams. CoRR Xue Wen Tan, Kenneth See, Stanley Kok
2023	—	`conf`	AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
2023	J	`jnl`	AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
2023	C	`conf`	Explainable Risk Classification in Financial Reports. ICIS Xue Wen Tan, Stanley Kok
2023	A	`conf`	Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL Jia Guo, Stanley Kok, Lidong Bing
2023	J	`jnl`	Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR Jia Guo, Stanley Kok, Lidong Bing
2022	C	`conf`	In-Training Multicalibrated Survival Analysis For Healthcare via Constrained Optimization. ICIS Thiti Suttaket, Stanley Kok
2021	—	`conf`	BiQUE: Biquaternionic Embeddings of Knowledge Graphs. EMNLP (1) Jia Guo, Stanley Kok
2021	J	`jnl`	BiQUE: Biquaternionic Embeddings of Knowledge Graphs. CoRR Jia Guo, Stanley Kok
2021	C	`conf`	Interpretable Predictive Models for Healthcare via Rational Logistic Regression. ICIS Thiti Suttaket, L. Vivek Harsha Vardhan, Stanley Kok
2021	J	`jnl`	Referent graph embedding model for name entity recognition of Chinese car reviews. Knowl. Based Syst. Zhao Fang, Qiang Zhang, Stanley Kok, Ling Li, Anning Wang, Shanlin Yang
2020	J	`jnl`	E-Commerce Product Categorization via Machine Translation. ACM Trans. Manag. Inf. Syst. Liling Tan, Maggie Yundi Li, Stanley Kok
2020	—	`conf`	Probabilistic Logic Graph Attention Networks for Reasoning. WWW (Companion Volume) L. Vivek Harsha Vardhan, Guo Jia, Stanley Kok
2018	J	`jnl`	Don't Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation. CoRR Maggie Yundi Li, Stanley Kok, Liling Tan
2018	—	`conf`	Unconstrained Production Categorization with Sequence-to-Sequence Models. eCOM@SIGIR Maggie Yundi Li, Liling Tan, Stanley Kok, Ewa Szymanska
2016	A*	`conf`	CrowdOp: Query optimization for declarative crowdsourcing systems. ICDE Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi
2016	—	`conf`	Efficient representation learning for high-dimensional imbalance data. DSP Bilal Mirza, Stanley Kok, Zhiping Lin, Yong Kiang Yeo, Xiaoping Lai, Jiuwen Cao, Jose Sepulveda
2016	A*	`conf`	Unifying Logical and Statistical AI. LICS Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2015	J	`jnl`	CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Trans. Knowl. Data Eng. Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, Beng Chin Ooi
2014	A	`conf`	Language modeling with sum-product networks. INTERSPEECH Wei-Chen Cheng, Stanley Kok, Hoai Vu Pham, Hai Leong Chieu, Kian Ming Adam Chai
2011	A*	`conf`	Collective graph identification. KDD Galileo Namata, Stanley Kok, Lise Getoor
2010	—	`conf`	Hitting the Right Paraphrases in Good Time. HLT-NAACL Stanley Kok, Chris Brockett
2010	A*	`conf`	Learning Markov Logic Networks Using Structural Motifs. ICML Stanley Kok, Pedro M. Domingos
2010	—	`ch.`	Markov Logic: A Language and Algorithms for Link Mining. Link Mining Pedro M. Domingos, Daniel Lowd, Stanley Kok, Aniruddh Nath, Hoifung Poon, Matthew Richardson, Parag Singla
2010	—	`conf`	Using Structural Motifs for Learning Markov Logic Networks. StarAI@AAAI Stanley Kok, Pedro M. Domingos
2009	—	`conf`	Hypergraph Lifting for Structure Learning in Markov Logic Networks. MLG/SRL@ILP Stanley Kok, Pedro M. Domingos
2009	A*	`conf`	Learning Markov logic network structure via hypergraph lifting. ICML Stanley Kok, Pedro M. Domingos
2008	—	`conf`	Extracting Semantic Networks from Text Via Relational Clustering. ECML/PKDD (1) Stanley Kok, Pedro M. Domingos
2008	—	`conf`	Just Add Weights: Markov Logic for the Semantic Web. URSW (LNCS Vol.) Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`ch.`	Markov Logic. Probabilistic Inductive Logic Programming Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla
2008	—	`conf`	Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition. SSPR/SPR Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla, Marc Sumner, Jue Wang
2007	A*	`conf`	Statistical predicate invention. ICML Stanley Kok, Pedro M. Domingos
2006	A*	`conf`	Unifying Logical and Statistical AI. AAAI Pedro M. Domingos, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla
2005	A*	`conf`	Learning the structure of Markov logic networks. ICML Stanley Kok, Pedro M. Domingos
2004	A*	`conf`	Web-scale information extraction in knowitall: (preliminary results). WWW Oren Etzioni, Michael J. Cafarella, Doug Downey, Stanley Kok, Ana-Maria Popescu, Tal Shaked, Stephen Soderland, Daniel S. Weld, Alexander Yates