Haixin Wang

Orcid: 0000-0002-5714-0149

Affiliations:

Peking University, Beijing, China

According to our database¹, Haixin Wang authored at least 38 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, August, 2025

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2025

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series.

[BibT_eX]

[DOI]

CoRR, June, 2025

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Advanced long-term earth system forecasting by learning the small-scale nature.

[BibT_eX]

[DOI]

CoRR, May, 2025

CellVerse: Do Large Language Models Really Understand Cell Biology?

[BibT_eX]

[DOI]

CoRR, May, 2025

Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, April, 2025

Protein Large Language Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

How Do Large Language Models Perform in Dynamical System Modeling.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Efficient Traffic Prediction Through Spatio-Temporal Distillation.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Visual Tuning.

[BibT_eX]

[DOI]

ACM Comput. Surv., December, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Masked Autoencoder for Spatio-Temporal Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Generative Techniques for Spatial-Temporal Data Mining.

[BibT_eX]

[DOI]

CoRR, 2024

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Toward Effective Domain Adaptive Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

When Parameter-efficient Tuning Meets General-purpose Vision-language Models.

[BibT_eX]

[DOI]

CoRR, 2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

HEART: Towards Effective Hash Codes under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2020

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Dynamic Boosted Forest.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

Haixin Wang

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