
AI Researcher | DeepLearning Lab, Ant Research Institute
Mar 2025 - Present.
DeepLearning Lab,
Ant Research Institute,
Hangzhou, CHINA
I am an Artificial Intelligence Research Fellow with DeepLearning Lab at Ant Research Institute, which is under the leadership of CTO Zhengyu He. My research benefits from collaboration with esteemed colleagues including Dr. Jianguo Li, Dr. Yaohui Li, Dr. Zhangxuan Gu, Dr. Yan Hong, and Scientist Zhuoer Xu.
I pursued my M.E. in Automation and Artificial Intelligence Group at Nanjing University (NJU), where I was mentored by Prof. Chunlin Chen and Prof. Huaxiong Li. My B.E. was obtained at Southeast University (SEU). My research interests include few-shot learning, image generation, self-supervised learning, computer vision, and machine learning. Currently, I focus on Representation Learning, AIGC, and Learning with Limited Data.
AI Researcher | DeepLearning Lab, Ant Research Institute
Mar 2025 - Present.
AI Researcher | Tiansuan Lab, Ant Group
May 2022 - Mar 2025
Master Student | Nanjing University
Sep 2020 - June 2023. Advisor: Prof.Chunlin Chen and Prof. Huaxiong Li
Undergraduate Student | South East University
Sep 2016 - June 2020.
Efficient Transfer Learning for Video-language Foundation Models
Haoxing Chen, Zizheng Huang, Yan Hong, Yanshuo Wang, Zhongcai Lyu, Zhuoer Xu, Jun Lan, Zhangxuan Gu.
In: IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2025. (CCF-A)
[Paper]
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang.
In: AAAI Conference on Artificial Intelligence (AAAI), 2025.(CCF-A) Oral
[Data]
Learning Latent Distangled Embeddings and Graphs for Multi-view Clustering
Chao Zhang, Haoxing Chen, Huaxiong Li, Chunlin Chen.
Pattern Recognit., 2024. (CCF-B, SCI/SCIE, Impact Factor: 7.5)
[Paper]
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang.
In: European Conference on Computer Vision (ECCV), 2024.(CCF-B)
DiffusionInst: Diffusion Model for Instance Segmentation
Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang.
In: IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2024. (CCF-B) Oral
[Paper]
[arXiv]
[Code]
[Code(Ant-Research)]
[BibTex]
200+ GitHub Stars
DiffUTE: Universal Text Editing Diffusion Model
Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang.
In: Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. (CCF-A)
[Paper]
[arXiv]
[Code]
[Video]
100+ GitHub Stars