Xiao Han
Orcid: 0000-0002-3478-964XAffiliations:
- City University of Hong Kong
- Zhejiang University of Technology, Hangzhou, China
According to our database1,
Xiao Han authored at least 32 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
VISAFF: Speaker-Centered Visual Affective Feature Learning for Emotion Recognition in Conversation.
CoRR, May, 2026
SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering.
CoRR, April, 2026
CoRR, March, 2026
R2LED: Equipping Retrieval and Refinement in Lifelong User Modeling with Semantic IDs for CTR Prediction.
CoRR, February, 2026
CoRR, January, 2026
Neurocomputing, 2026
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
Proceedings of the ACM Web Conference 2026, 2026
Proceedings of the ACM Web Conference 2026, 2026
2025
Leveraging temporal validity of rules via LLMs for enhanced temporal knowledge graph reasoning.
Knowl. Based Syst., 2025
Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends.
Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025
Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025
Let's Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Veh. Technol., November, 2024
Traffic data imputation <i>via</i> knowledge graph-enhanced generative adversarial network.
PeerJ Comput. Sci., 2024
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
CoRR, 2024
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Spatio-Temporal Digraph Convolutional Network-Based Taxi Pickup Location Recommendation.
IEEE Trans. Ind. Informatics, 2023
Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
A Feedforward PID Control Approach for Reference Tracking of Virtually Coupled Train Set.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
An Attention-Based Digraph Convolution Network Enabled Framework for Congestion Recognition in Three-Dimensional Road Networks.
IEEE Trans. Intell. Transp. Syst., 2022
2019
2018
IEEE Access, 2018