Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Y Chen, Y Que, X Zhang, C Ma, I King. Cited by 1
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LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs
M Wong, Y Lyu, T Rios, S Menzel, YS Ong
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FL@ FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025
I King, G Long, Z Xu, Y Zhang, H Yu
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Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey
J Li, Y Fu, J Liu, L Cao, W Ji, M Yang, I King, MH Yang. Cited by 2
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Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
Z Wu, Z Sun, D Wang, L Zhang, J Zhang, YS Ong. Cited by 2
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Context-Adaptive Graph Neural Networks for Next POI Recommendation
Y Lei, L Shen, Z Sun, T He, YS Ong
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Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models
R Huang, S Feng, F Li, C Chen, YS Ong
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Reinforcing Question Answering Agents with Minimalist Policy Gradient Optimization
Y Wu, L Ma, M Li, J Zhou, J Hao, H Leung, I King, Y Zhang, JY Nie. Cited by 1
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Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
FX Fan, C Tan, R Wattenhofer, YS Ong. Cited by 1
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Llm-driven instance-specific heuristic generation and selection
S Zhang, S Liu, N Lu, J Wu, J Liu, YS Ong, K Tang. Cited by 1
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Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
J Dong, P Koniusz, Y Zhang, H Zhu, W Liu, X Qu, YS Ong. Cited by 1
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Implicit Reasoning in Large Language Models: A Comprehensive Survey
J Li, Y Fu, L Fan, J Liu, Y Shu, C Qin, M Yang, I King, R Ying. Cited by 1