Xiong, Hui

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Zhou, H., Zhang, S., Peng, J., Zhang, S., Li, J., Xiong, H., & Zhang, W. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingEnergy Load and Power Forecasting

Cited by 7,752

A Comprehensive Survey on Transfer Learning

Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., Xiong, H., & He, Q. (2021) · Proceedings of the IEEE

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 6,678

A Survey on Large Language Models for Recommendation

Wu, L., Zheng, Z., Qiu, Z., Wang, H., Gu, H., Shen, T., Qin, C., Zhu, C., Zhu, H., Liu, Q., et al. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 515

A survey on large language models for recommendation

Wu, L., Zheng, Z., Qiu, Z., Wang, H., Gu, H., Shen, T., Qin, C., Zhu, C., Zhu, H., Liu, Q., et al. (2024) · World Wide Web

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 515

Failure Prediction in IBM BlueGene/L Event Logs

Liang, Y., Zhang, Y., Xiong, H., & Sahoo, R. (2007) · Seventh IEEE International Conference on Data Mining (ICDM 2007)

Distributed systems and fault toleranceParallel Computing and Optimization Techniques

Cited by 292

Mining Mobile User Preferences for Personalized Context-Aware Recommendation

Zhu, H., Chen, E., Xiong, H., Yu, K., Cao, H., & Tian, J. (2015) · ACM Transactions on Intelligent Systems and Technology

Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis

Cited by 157

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition

Yu, H., Chen, Z., Zhang, X., Chen, X., Zhuang, F., Xiong, H., & Cheng, X. (2023) · IEEE Transactions on Mobile Computing

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 113

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference

Liu, B., Kong, D., Cen, L., Gong, N. Z., Jin, H., & Xiong, H. (2015) · Proceedings of the Eighth ACM International Conference on Web Search and Data Mining

Recommender Systems and TechniquesMobile and Web Applications

Cited by 98

Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability

Yang, Y., Zhou, D.-W., Zhan, D.-C., Xiong, H., & Jiang, Y. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Data Stream Mining TechniquesDomain Adaptation and Few-Shot Learning

Cited by 83

What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction

Sun, H., Cao, C., Chu, X., Hu, T., Lu, J., He, L., Wang, Z., He, H., & Xiong, H. (2023) · ACM Transactions on Intelligent Systems and Technology

Data Management and AlgorithmsHuman Mobility and Location-Based Analysis

Cited by 10

Explaining Length Bias in LLM-Based Preference Evaluations

Hu, Z., Song, L., Zhang, J., Xiao, Z., Wang, T., Chen, Z., Yuan, N. J., Lian, J., Ding, K., & Xiong, H. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Recommender Systems and TechniquesSentiment Analysis and Opinion Mining

Cited by 4

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback

Lin, Y., Wu, H., Wang, R., Lu, H., Lin, X., Xiong, H., & Wang, L. (2023) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 1

Platonic Representation Hypothesis on World Models

Li, W., MA, C., Xiong, H., Chen, Y.-C., & Zhang, L. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0