Haixin Wang

According to our database, Haixin Wang authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

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

LION: Implicit Vision Prompt Tuning.

Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

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

2023

A Survey on Deep Hashing Methods.

Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua

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

Toward Effective Domain Adaptive Retrieval.

Haixin Wang, Jinan Sun, Xiao Luo, Wei Xiang, Shikun Zhang, Chong Chen, Xian-Sheng Hua

IEEE Trans. Image Process., 2023

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

Yihang Zhai, Haixin Wang, Jianlong Chang, Xinlong Yang, Jinan Sun, Shikun Zhang, Qi Tian

CoRR, 2023

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

Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang

CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.

Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian

CoRR, 2023

Visual Tuning.

Bruce X. B. Yu, Jianlong Chang, Haixin Wang, Lingbo Liu, Shijie Wang, Zhiyu Wang, Junfan Lin, Lingxi Xie, Haojie Li, Zhouchen Lin, Qi Tian, Chang Wen Chen

CoRR, 2023

LION: Implicit Vision Prompt Tuning.

Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian

CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.

Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

Proceedings of the ACM Web Conference 2023, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.

Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian

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.

Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun

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.

Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo

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

2022

HEART: Towards Effective Hash Codes under Label Noise.

Jinan Sun, Haixin Wang, Xiao Luo, Shikun Zhang, Wei Xiang, Chong Chen, Xian-Sheng Hua

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.

Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu

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

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

Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, Shikun Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Dynamic Boosted Forest.

Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang

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