Yikun Ji, Yan Hong, Jiahui Zhan, Haoxing Chen, jun lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang.
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models.
arXiv preprint arXiv: 2504.14245 , 2025.

Yukang Lin, Yan Hong, Zunnan Xu, Xindi Li, Chao Xu, Chuanbiao Song, Ronghui Li, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Xiu Li.
InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation.
arXiv preprint arXiv: 2504.10905 , 2025.

Yanshuo Wang, Xuesong Li, jinguang Tong, Jie Hong, Jun Lan, Weiqiang Wang, Huijia Zhu, Haoxing Chen*.
Maintain Plasticity in Long-timescale Continual Test-time Adaptation.
arXiv preprint arXiv: 2412.20034 , 2024.

Chenfan Qu, Jian Liu, Haoxing Chen, Baihan Yu, Jingjing Liu, Weiqiang Wang, Lianwen Jin.
Explainable Tampered Text Detection via Multimodal Large Models.
arXiv preprint arXiv: 2412.14816 , 2024.

Haoxing Chen, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Yaohui Li, Jun Lan, Huijia Zhu, Jianfu Zhang, Weiqiang Wang, Huaxiong Li.
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.
arXiv preprint arXiv: 2405.19707, 2024.
[Code]

Xinyi Chen, Yaohui Li, Haoxing Chen.
Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection.
arXiv preprint arXiv: 2405.16146, 2024.

Haoxing Chen, Yaohui Li, Zizheng Huang, Yan Hong, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang.
Conditional Prototype Rectification Prompt Learning.
arXiv preprint arXiv: 2404.09872, 2024.
[Code]

Yaohui Li, Qifeng Zhou, Haoxing Chen, Jianbing Zhang, Xinyu Dai, Hao Zhou.
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning.
arXiv preprint arXiv: 2404.09778, 2024.

Haoxing Chen, Yaohui Li, Yan Hong, Zizheng Huang, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Huijia Zhu, Weiqiang Wang.
Boosting Audio-visual Zero-shot Learning with Large Language Models.
arXiv preprint arXiv: 2311.12268, 2023.
[Paper] [Code]

Zizheng Huang, Haoxing Chen,Jiaqi Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Limin Wang.
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training.
In: International Conference on Machine Learning (ICML), 2025. (CCF-A) [Code]

Haoxing Chen, Zizheng Huang, Yan Hong, Yanshuo Wang, Zhongcai Lyu, Zhuoer Xu, Jun Lan, Zhangxuan Gu.
Efficient Transfer Learning for Video-language Foundation Models.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A)

Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang.
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection.
In: AAAI Conference on Artificial Intelligence (AAAI), 2025.[Oral](CCF-A)

Chao Zhang, Haoxing Chen, Huaxiong Li, Chunlin Chen.
Learning Latent Distangled Embeddings and Graphs for Multi-view Clustering
Pattern Recognit., 2024. (CCF-B, SCI/SCIE, Impact Factor: 7.5) [Paper]

Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang.
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image.
In: European Conference on Computer Vision (ECCV), 2024.(CCF-B)

Haoxing Chen, Yaohui Li, Zhangxuan Gu, Zhuoer Xu, Jun Lan, Huaxiong Li.
Segment Anything Model Meets Image Harmonization.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. (CCF-B)
[Paper] [BibTex]

Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang.
DiffusionInst: Diffusion Model for Instance Segmentation.
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024. [Oral](CCF-B)
[Paper] [Code] [Code (Ant-Research)] [BibTex]

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang.
DiffUTE: Universal Text Editing Diffusion Model.
In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. (CCF-A)
[Paper] [Code] [Video]

Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li.
Hierarchical Dynamic Image Harmonization.
In: ACM Multimedia (ACM MM), 2023. [Oral] (CCF-A)
[Paper] [Code] [BibTex]

Zizheng Huang^#, Haoxing Chen ^#*, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen.
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas.
In: International Conference on Machine Learning (ICML), 2023. (CCF-A) [# Equal contribution, * Corresponding author]
[Paper] [Code]

Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang.
Mobile User Interface Element Detection Via Adaptively Prompt Tuning.
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF-A)
[Paper] [Code] [BibTex]

Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen.
Sparse Spatial Transformers for Few-Shot Learning.
Sci. China Inf. Sci., 2023, 66(11): 210102. (CCF-A, SCI/SCIE, Impact Factor: 8.8)
[Paper] [Code] [BibTex]

Yaohui Li, Yuzhe Yang, Huaxiong Li, Haoxing Chen, Liwu Xu, Leida Li, Yaqian Li, Yandong Guo.
Transductive Aesthetic Preference Propagation for Personalized Image Aesthetics Assessment.
In: ACM Multimedia (ACM MM), 2022. (CCF-A)
[Paper] [BibTex]

Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen.
Shaping Visual Representations with Attributes for Few-Shot Recognition.
IEEE Signal Process. Lett., 2022, 29: 1397-1401. (CAA-B, SCI/SCIE, Impact Factor: 3.9)
[Paper] [Code] [BibTex]

Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen.
Multi-level Metric Learning for Few-shot Image Recognition.
In: International Conference on Artificial Neural Networks (ICANN), 2022. (CCF-C)
[Paper] [Code] [BibTex]

Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen.
Multi-scale Adaptive Task Attention Network for Few-Shot Learning.
In: International Conference on Pattern Recognition (ICPR), 2022. (CCF-C)
[Paper] [Code] [BibTex]

Yaohui Li, Huaxiong Li, Haoxing Chen, Chunlin Chen.
Local Mutual Metric Network for Few-Shot Image Classification.
In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021. (CCF-C)
[Paper] [BibTex]