Efficient Traffic Prediction Through Spatio-Temporal Distillation.
CoRR, January, 2025
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.
IEEE Trans. Knowl. Data Eng., December, 2024
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ACM Comput. Surv., December, 2024
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.
IEEE Trans. Knowl. Data Eng., April, 2024
ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing.
IEEE Trans. Inf. Forensics Secur., 2024
Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.
CoRR, 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning.
CoRR, 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.
CoRR, 2024
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
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CoRR, 2024
A Survey of Generative Techniques for Spatial-Temporal Data Mining.
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CoRR, 2024
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
LION: Implicit Vision Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
A Survey on Deep Hashing Methods.
ACM Trans. Knowl. Discov. Data, January, 2023
Toward Effective Domain Adaptive Retrieval.
IEEE Trans. Image Process., 2023
When Parameter-efficient Tuning Meets General-purpose Vision-language Models.
CoRR, 2023
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
CoRR, 2023
Mode Approximation Makes Good Multimodal Prompts.
CoRR, 2023
LION: Implicit Vision Prompt Tuning.
CoRR, 2023
DANCE: Learning A Domain Adaptive Framework for Deep Hashing.
Proceedings of the ACM Web Conference 2023, 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
HEART: Towards Effective Hash Codes under Label Noise.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.
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Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework.
Proceedings of the Computer Vision - ECCV 2020, 2020
Deep Dynamic Boosted Forest.
Proceedings of The 12th Asian Conference on Machine Learning, 2020