Chua, Tat-Seng

NUS-WIDE: a real-world web image database from National University of Singapore

Chua, T.-S., Tang, J., Hong, R., Li, H., Luo, Z., & Zheng, Y. (2009) · Proceedings of the ACM International Conference on Image and Video Retrieval

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 3,025

Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

Hu, H., Wen, Y., Chua, T.-S., & Li, X. (2014) · IEEE Access

Big Data Technologies and ApplicationsCloud Computing and Resource Management

Cited by 1,099

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models

Fan, W., Ding, Y., Ning, L., Wang, S., Li, H., Yin, D., Chua, T.-S., & Li, Q. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Topic ModelingInformation Retrieval and Search Behavior

Cited by 827

Explainable Reasoning over Knowledge Graphs for Recommendation

Wang, X., Wang, D., Xu, C., He, X., Cao, Y., & Chua, T.-S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 785

Visual Translation Embedding Network for Visual Relation Detection

Zhang, H., Kyaw, Z., Chang, S.-F., & Chua, T.-S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 586

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Lei, W., He, X., Miao, Y., Wu, Q., Hong, R., Kan, M.-Y., & Chua, T.-S. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 253

Disease inference from health-related questions via sparse deep learning

Nie, L., Wang, M., Zhang, L., Yan, S., Zhang, B., & Chua, T.-S. (2015) · IEEE Transactions on Knowledge and Data Engineering

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 195

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Zhu, F., Lei, W., Huang, Y., Wang, C., Zhang, S., Lv, J., Feng, F., & Chua, T.-S. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 193

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Fang, J., Jiang, H., Wang, K., Ma, Y., Jie, S., Wang, X., He, X., & Chua, T.-S. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 170

Data-efficient Fine-tuning for LLM-based Recommendation

Lin, X., Wang, W., Li, Y., Yang, S., Feng, F., Wei, Y., & Chua, T.-S. (2024) · arXiv

Recommender Systems and TechniquesTopic Modeling

Cited by 165

Scalable detection of partial near-duplicate videos by visual-temporal consistency

Tan, H.-K., Ngo, C.-W., Hong, R., & Chua, T.-S. (2009) · Proceedings of the 17th ACM international conference on Multimedia

Video Analysis and SummarizationAdvanced Image and Video Retrieval Techniques

Cited by 110

Hello Again! LLM-powered Personalized Agent for Long-term Dialogue

Li, H., Yang, C., Zhang, A., Deng, Y., Wang, X., & Chua, T.-S. (2024) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 53

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

Koa, K. J. L., Ma, Y., Ng, R., & Chua, T.-S. (2024) · Proceedings of the ACM Web Conference 2024

Stock Market Forecasting MethodsExplainable Artificial Intelligence (XAI)

Cited by 47

Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models

Koa, K. J. L., Ma, Y., Ng, R., & Chua, T.-S. (2024) · arXiv

Stock Market Forecasting MethodsExplainable Artificial Intelligence (XAI)

Cited by 47

Generative Recommendation: Towards Next-generation Recommender Paradigm

Wang, W., Lin, X., Feng, F., He, X., & Chua, T.-S. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 34

ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use

Li, K., Meng, Z., Lin, H., Luo, Z., Tian, Y., Ma, J., Huang, Z., & Chua, T.-S. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 27

Large Language Models Empowered Personalized Web Agents

Cai, H., Li, Y., Wang, W., Zhu, F., Shen, X., Li, W., & Chua, T.-S. (2025) · Proceedings of the ACM on Web Conference 2025

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 15

Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation

Wang, C., Zhang, Y., Wang, Z., Shi, T., Bao, K., Feng, F., & Chua, T.-S. (2025) · arXiv

Recommender Systems and TechniquesTopic Modeling

Cited by 2

Language Representations Can be What Recommenders Need: Findings and Potentials

Sheng, L., Zhang, A., Zhang, Y., Chen, Y., Wang, X., & Chua, T.-S. (2024) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 1

AnyEdit: Edit Any Knowledge Encoded in Language Models

Jiang, H., Fang, J., Zhang, N., Ma, G., Wan, M., Wang, X., He, X., & Chua, T.-S. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0