Deep Dynamic Boosted Forest. - Haixin Wang 003; Xingzhang Ren; Jinan Sun; Wei Ye 004; Long Chen; Muzhi Yu; Shikun Zhang (ACML, 2020)

Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework. - Haixin Wang 003; Tianhao Zhang; Muzhi Yu; Jinan Sun; Wei Ye 004; Chen Wang 005; Shikun Zhang (ECCV (13), 2020)

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks. - Ruming Tang; Zheng Yang; Zeyan Li; Weibin Meng; Haixin Wang 003; Qi Li 002; Yongqian Sun; Dan Pei; Tao Wei 002; Yanfei Xu; Yan Liu 069 (INFOCOM, 2020)

HEART: Towards Effective Hash Codes under Label Noise. - Jinan Sun; Haixin Wang 003; Xiao Luo 001; Shikun Zhang; Wei Xiang; Chong Chen 002; Xian-Sheng Hua 001 (ACM Multimedia, 2022)

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. - Xinlong Yang; Haixin Wang 003; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (ICCV, 2023)

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. - Xiao Luo 001; Haixin Wang 003; Zijie Huang 002; Huiyu Jiang; Abhijeet Gangan; Song Jiang 002; Yizhou Sun (NeurIPS, 2023)

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model. - Haixin Wang 003; Xinlong Yang; Jianlong Chang; Dian Jin 004; Jinan Sun; Shikun Zhang; Xiao Luo 001; Qi Tian 001 (NeurIPS, 2023)

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval. - Haixin Wang 003; Hao Wu 094; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (NeurIPS, 2023)

DANCE: Learning A Domain Adaptive Framework for Deep Hashing. - Haixin Wang 003; Jinan Sun; Xiang Wei; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (WWW, 2023)

LION: Implicit Vision Prompt Tuning. - Haixin Wang 003; Jianlong Chang; Xiao Luo 001; Jinan Sun; Zhouchen Lin; Qi Tian 001 (CoRR, 2023)

Mode Approximation Makes Good Multimodal Prompts. - Haixin Wang 003; Xinlong Yang; Jianlong Chang; Dian Jin 004; Jinan Sun; Shikun Zhang; Xiao Luo 001; Qi Tian 001 (CoRR, 2023)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Wei Xiong 008; Fan Xu 009; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001; Haixin Wang 003 (CoRR, 2023)

When Parameter-efficient Tuning Meets General-purpose Vision-language Models. - Yihang Zhai; Haixin Wang 003; Jianlong Chang; Xinlong Yang; Jinan Sun; Shikun Zhang; Qi Tian 001 (CoRR, 2023)

Toward Effective Domain Adaptive Retrieval. - Haixin Wang 003; Jinan Sun; Xiao Luo 001; Wei Xiang; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001 (IEEE Trans. Image Process., 2023)

A Survey on Deep Hashing Methods. - Xiao Luo 001; Haixin Wang 003; Daqing Wu; Chong Chen 002; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Trans. Knowl. Discov. Data, 2023)

LION: Implicit Vision Prompt Tuning. - Haixin Wang 003; Jianlong Chang; Yihang Zhai; Xiao Luo 001; Jinan Sun; Zhouchen Lin; Qi Tian 001 (AAAI, 2024)

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction. - Hao Wu 094; Fan Xu 009; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001; Haixin Wang 003 (ACM Multimedia, 2024)

A Survey of Generative Techniques for Spatial-Temporal Data Mining. - Qianru Zhang; Haixin Wang 003; Cheng Long 001; Liangcai Su; Xingwei He 003; Jianlong Chang; Tailin Wu; Hongzhi Yin; Siu-Ming Yiu; Qi Tian 001; Christian S. Jensen (CoRR, 2024)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. - Haixin Wang 003; Yadi Cao; Zijie Huang 002; Yuxuan Liu; Peiyan Hu; Xiao Luo 001; Zezheng Song; Wanjia Zhao; Jilin Liu; Jinan Sun; Shikun Zhang; Long Wei; et al. (CoRR, 2024)

Graph Masked Autoencoder for Spatio-Temporal Graph Learning. - Qianru Zhang; Haixin Wang 003; Siu-Ming Yiu; Hongzhi Yin (CoRR, 2024)

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Yadi Cao; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2024)

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing. - Xinlong Yang; Haixin Wang 003; Jinan Sun; Yijia Xiao; Wei Xiang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (IEEE Trans. Inf. Forensics Secur., 2024)

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning. - Haixin Wang 003; Huiyu Jiang; Jinan Sun; Shikun Zhang; Chong Chen 002; Xian-Sheng Hua 001; Xiao Luo 001 (IEEE Trans. Knowl. Data Eng., 2024)

Visual Tuning. - Bruce X. B. Yu; Jianlong Chang; Haixin Wang 003; Lingbo Liu; Shijie Wang 003; Zhiyu Wang; Junfan Lin; Lingxi Xie; Haojie Li; Zhouchen Lin; Qi Tian 001; Chang Wen Chen (ACM Comput. Surv., 2024)

Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval. - Haixin Wang 003; Xinlong Yang; Jinan Sun; Shikun Zhang; Chong Chen 002; XianSheng Hua 001; Xiao Luo 001 (IEEE Trans. Knowl. Data Eng., 2024)

Efficient Traffic Prediction Through Spatio-Temporal Distillation. - Qianru Zhang; Xinyi Gao 001; Haixin Wang 003; Siu Ming Yiu; Hongzhi Yin (AAAI, 2025)

How Do Large Language Models Perform in Dynamical System Modeling. - Xiao Luo 001; Binqi Chen; Haixin Wang 003; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (NAACL (Findings), 2025)

Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. - Qingqing Long; Haixin Wang 003; Jinan Sun; Wei Xiang; Yijia Xiao; Yusheng Zhao; Xiao Luo 001 (SIGIR, 2025)

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Huacong Tang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (Trans. Mach. Learn. Res., 2025)

Protein Large Language Models: A Comprehensive Survey. - Yijia Xiao; Wanjia Zhao; Junkai Zhang; Yiqiao Jin; Han Zhang; Zhicheng Ren; Renliang Sun; Haixin Wang 003; Guancheng Wan; Pan Lu; Xiao Luo 001; Yu Zhang 044; et al. (CoRR, 2025)

Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis. - Qianru Zhang; Peng Yang 016; Honggang Wen; Xinzhu Li; Haixin Wang 003; Fang Sun; Zezheng Song; Zhichen Lai; Rui Ma; Ruihua Han; Tailin Wu; Siu-Ming Yiu; et al. (CoRR, 2025)

CellVerse: Do Large Language Models Really Understand Cell Biology? - Fan Zhang; Tianyu Liu; Zhihong Zhu; Hao Wu 094; Haixin Wang 003; Donghao Zhou; Yefeng Zheng 001; Kun Wang 056; Xian Wu 001; Pheng-Ann Heng (CoRR, 2025)

Advanced long-term earth system forecasting by learning the small-scale nature. - Hao Wu; Yuan Gao; Ruiqi Shu; Kun Wang 056; Ruijian Gou; Chuhan Wu; Xinliang Liu; Juncai He; Shuhao Cao; Junfeng Fang; Xingjian Shi; Feng Tao; et al. (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2025)

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series. - Ching Chang; Jeehyun Hwang; Yidan Shi; Haixin Wang 003; Wen-Chih Peng; Tien-Fu Chen; Wei Wang 010 (CoRR, 2025)

A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security. - Qianru Zhang; Peng Yang 016; Junliang Yu; Haixin Wang 003; Xingwei He 003; Siu-Ming Yiu; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2025)

FLDmamba: Integrating Fourier and Laplace Transform Decomposition with Mamba for Enhanced Time Series Prediction. - Qianru Zhang; Chenglei Yu; Haixin Wang 003; Yudong Yan; Yuansheng Cao; Siu-Ming Yiu; Tailin Wu; Hongzhi Yin (CoRR, 2025)

MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models. - Fan Zhang; Zebang Cheng; Chong Deng; Haoxuan Li; Zheng Lian; Qian Chen; Huadai Liu; Wen Wang; Yifan Zhang 004; Renrui Zhang; Ziyu Guo; Zhihong Zhu; et al. (CoRR, 2025)