I am currently working as a research fellow at S-Lab@NTU, Nanyang Technological University, under the supervision of Prof. Shijian Lu. Prior to this, I served as a senior research scientist (2021-2023) at CityBrain Lab, DAMO, Alibaba Group, under the supervision of Prof. Jieping Ye. I completed my Ph.D. degree (2016-2021) at the VILab of Harbin Institute of Technology, under the guidance of Prof. Hongxun Yao. During my Ph.D. study, I interned at CityBrain Lab, DAMO, Alibaba Group, supervised by Prof. Xian-sheng Hua. During my Phd period, my research interests include computer vision and deep learning with a focus on image retrieval and quantization. Now I am interested in open vocabulary tasks. I am open to overseas job opportunities or a postdoctoral position!
🔥 News
- 2024.10: 🎉🎉 Four paper is accepted to AAAI 2024!
- 2024.10: 🎉🎉 Two paper is accepted to NIPS 2024!
- 2024.03: 🎉🎉 One paper is accepted to TPAMI 2024!
- 2024.02: 🎉🎉 One paper is accepted to CVPR 2024!
- 2024.01: 🎉🎉 One paper is accepted by ICLR 2024!
- 2023.10: 🎉🎉 Three papers are submitted to ICLR 2024!
- 2023.10: 🎉🎉 One paper is accepted by NIPS 2023!
- 2023.07: 🎉🎉 Two papers are accepted by ICCV 2023!
- 2021: 🎉🎉 One paper is accepted by AAAI 2022!
- 2021: 🎉🎉 One paper is accepted by TIP 2022!
- 2020: 🎉🎉 Two papers are accepted by AAAI 2021!
- 2020: 🎉🎉 One paper is accepted by TIP 2021!
- 2019: 🎉🎉 One paper is accepted by AAAI 2020!
📝 Publications
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
NIPS, 2023
Vision-Language Models for Vision Tasks: A Survey
Jingyi Zhang, Jiaxing Huang, Sheng Jin, Shijian Lu
Arxiv
Uncertainty-aware Unsupervised Multi-Object Tracking
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
ICCV, 2023
Domain Generalization via Balancing Training Difficulty and Model Capability
Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu
ICCV, 2023
Temporal Action Proposal Generation with Background Constraint
Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia, Hongxun Yao, Hujie Huang
AAAI, 2022
Asynchronous teacher guided bit-wise hard mining for online hashing
Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua
AAAI, 2021
Homm: Higher-order moment matching for unsupervised domain adaptation
Chao Chen, Zhihang Fu, Zhihong Chen, Sheng Jin, Zhaowei Cheng, Xinyu Jin, Xian-Sheng Hua
AAAI, 2021
Unsupervised discrete hashing with affinity similarity
Sheng Jin, Hongxun Yao, Qin Zhou, Yao Liu, Jianqiang Huang, Xiansheng Hua
TIP, 2021
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation
Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xian-Sheng Hua
AAAI, 2020
Deep saliency hashing for fine-grained retrieval
Sheng Jin, HongxunYao, XiaoshuaiSun, ShangchenZhou, LeiZhang, XianshengHua
TIP, 2020
🎖 Honors and Awards
- 2022. Excellent Doctors’ Nomination.
- 2021. National Scholarships
📖 Educations
- 2016.09 - 2021.09: Doctor of Philosophy, School of Computer Science and Engineering, Harbin Institute of Technology
- 2012.09 - 2016.07: Bachelor in Intelligence Science and Technology, School of Mathematics, Harbin Institute of Technology
🧑🔬 Service
- Reviewer of CVPR, IEEE TPAMI, TIP, TIFS, TCVST
💻 Internships
- 2018.09 - 2021.11, Citybrain Lab, Alibaba Group, China.
Last Update: October 9, 2023
Thanks for the template of Yi Ren