Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction.
ACM Trans. Intell. Syst. Technol., February, 2025
Large Language Model Enhanced Logic Tensor Network for Stance Detection.
Neural Networks, 2025
Logic Augmented Multi-Decision Fusion Framework for Stance Detection on Social Media.
Inf. Fusion, 2025
CRRL: Contrastive Region Relevance Learning Framework for Cross-city Traffic Prediction.
Inf. Fusion, 2025
C-MTCSD: A Chinese Multi-Turn Conversational Stance Detection Dataset.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025
Core Knowledge Learning Framework for Graph.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
A Survey of Stance Detection on Social Media: New Directions and Perspectives.
CoRR, 2024
Domain-invariant Representation Learning via Segment Anything Model for Blood Cell Classification.
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CoRR, 2024
Towards Cross-Domain Single Blood Cell Image Classification via Large-Scale LoRA-based Segment Anything Model.
CoRR, 2024
Core Knowledge Learning Framework for Graph Adaptation and Scalability Learning.
CoRR, 2024
Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Towards Cross-Domain Single Blood Cell Image Classification Via Large-Scale Lora-Based Segment Anything Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Multi-perspective convolutional neural networks for citywide crowd flow prediction.
Appl. Intell., April, 2023
Optimal location query based on k nearest neighbours.
Frontiers Comput. Sci., 2021
Attention based simplified deep residual network for citywide crowd flows prediction.
Frontiers Comput. Sci., 2021
Self-adaptive Graph Neural Networks for Personalized Sequential Recommendation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
LTPHM: Long-term Traffic Prediction based on Hybrid Model.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Top-k Nearest Keyword Search in Public Transportation Networks.
Proceedings of the 15th International Conference on Semantics, Knowledge and Grids, 2019
Deep Learning Method for Citywide Crowd Flows Prediction.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Text Deduplication with Minimum Loss Ratio.
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019
A Simplified Deep Residual Network for Citywide Crowd Flows Prediction.
Proceedings of the 14th International Conference on Semantics, Knowledge and Grids, 2018
An Improved Index Based on MapReduce for Path Queries in Public Transportation Networks.
Proceedings of the 14th International Conference on Natural Computation, 2018
MinSum Based Optimal Location Query in Road Networks.
Proceedings of the Database Systems for Advanced Applications, 2017