Wang, Xiang

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

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Yu, J., Zheng, Y., Wang, X., Li, W., Wu, Y., Zhao, R., & Wu, L. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 210

Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization

Zheng, Y., Wang, X., Deng, R., Bao, T., Zhao, R., & Wu, L. (2022) · 2022 IEEE International Conference on Multimedia and Expo (ICME)

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

Cited by 80

ModelScope Text-to-Video Technical Report

Wang, J., Yuan, H., Chen, D., Zhang, Y., Wang, X., & Zhang, S. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 73

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

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models

Zhang, S., Wang, J., Zhang, Y., Zhao, K., Yuan, H., Qin, Z., Wang, X., Zhao, D., & Zhou, J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 22

Reinforced Prompt Personalization for Recommendation with Large Language Models

Mao, W., Wu, J., Chen, W., Gao, C., Wang, X., & He, X. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 20

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