景宸琛

个人简介：

景宸琛，博士，浙江工业大学计算机科学与技术学院，计算机视觉研究所，特聘研究员，硕士生导师，基础模型研究课题组成员。2022年-2025年于浙江大学计算机学院从事博士后研究工作，2022年于北京理工大学获工学博士学位，并获北京理工大学优秀博士学位论文奖。长期从事计算机视觉、多模态理解、人工智能领域算法研究，致力于开放世界下具有强泛化性与鲁棒性的视觉及多模态大模型的研究与应用。近年来在CVPR、ICCV、AAAI、MM、TMM、TNNLS等计算机和人工智能领域著名期刊会议发表论文20余篇，以第一作者身份在CCF-A类会议及中科院1区期刊发表论文7篇，以通讯作者身份发表计算机视觉和人工智能领域顶级会议3篇。基础模型研究课题组长期招收博士生、硕士生及本科生访问学生。欢迎感兴趣、有志科研的同学，邮件联系我并附上个人简历。

学习工作经历：

2025年-至今：浙江工业大学 计算机学院 特聘研究员

2022年-2025年：浙江大学 计算机学院 博士后

2016年-2022年：北京理⼯⼤学 计算机科学与技术 硕博连读

2012年-2016年：北京理⼯⼤学 计算机科学与技术 本科

代表性论文:

1.Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, and Chunhua Shen. Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. In Proceddings of the 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. CCF-A类会议。

2. Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, and Yunde Jia. Consistency of Compositional Generalization across Multiple Levels. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2025. CCF-A类会议。

3. Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, and Chunhua Shen. PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training. In Proceedings of the International Conference on Learning Representations (ICLR), 2025. 机器学习领域顶级会议。

4. Chenchen Jing, Yukun Li, Hao Chen, and Chunhua Shen. Retrieval-augmented Primitive Representations for Compositional Zero-shot Learning. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024. CCF-A类会议。

5.Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, and Yunde Jia. In-Context Compositional Generalization for Large Vision-Language Models. The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. 自然语言领域顶级会议。

6. Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, and Chunhua Shen. A Simple Image Segmentation Framework via In-Context Examples. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. CCF-A类会议。

7. Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, and Kaipeng Zhang. SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. CCF-A类会议。

8.Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, and Chunhua Shen. Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. CCF-A类会议。

9.Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu. Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. CCF-A类会议。

10.Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang*, and Chunhua Shen. Learning Conditional Attributes for Compositional Zero-Shot Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. CCF-A类会议。

11.Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu and Qi Wu. Maintaining Reasoning Consistency in Compositional Visual Question Answering. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. CCF-A类会议。

12.Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li and Qi Wu. Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), 2022. CCF-A类会议。

13.Chenchen Jing, Yuwei Wu, Mingtao Pei, Yao Hu, Yunde Jia and Qi Wu. Visual-Semantic Graph Matching for Visual Grounding. In Proceedings of the 28th ACM International Conference on Multimedia (MM), 2020. CCF-A类会议。

14.Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, and Qi Wu. Overcoming Language Priors in VQA via Decomposed Linguistic Representations. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. CCF-A类会议。

15.Chenchen Jing, Zhen Dong, Mingtao Pei and Yunde Jia. Heterogeneous Hashing Network for Face Retrieval across Image and Video Domains. IEEE Transactions on Multimedia (T-MM), 2019. 中科院1区期刊。