I’m currently a Research Fellow at Nanyang Technological University (NTU), working with Prof. Hanwang Zhang.

I obtained my Ph.D. degree in The Chinese University of Hong Kong (CUHK), supervided by Prof. Jiaya Jia and Prof. Bei Yu in 2022. Before that, I received my B.E. degree from the Computer Science Department of ShanDong University in 2018.

Research

My research aims to build a unified accurate, reliable, robust, and open-world model, which involves several fundamental problems in computer vision and machine learning, such as distribution shifts, adversarial examples, and out-of-distribution generalization.

Good representation is essential to robustness and generalization. I’m interested in understanding and exploring the nature relations and differences among generative (diffusion models), discriminative, and multi-modal (LLM, VLM) representations.

Preprints

* represents equal contributions

• Decoupled Kullback-Leibler Divergence Loss
  Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang.
  arXiv preprint arXiv:2305.13948.
  paper code

• Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition
  Zhisheng Zhong, Jiequan Cui, Eric Lo, Zeming Li, Jian Sun, Jiaya Jia.
  arXiv preprint arXiv:2203.11506.
  paper code

Publications [Google Scholar]

* represents equal contributions

• Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
  Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  paper code

• Genralized Parametric Contrastive Learning
  Jiequan Cui, Zhisheng Zhong, Zhuotao Tian, Shu Liu, Bei Yu, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
  paper code

• Understanding Imbalanced Semantic Segmentation Through Neural Collapse
  Zhisheng Zhong*, Jiequan Cui*, Yibo Yang*, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  paper

• ResLT: Residual Learning for Long-tailed Recognition
  Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, Jiaya Jia.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
  paper code

• Parametric Contrastive Learning
  Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021.
  paper code

• Learnable Boundary Guided Adversarial Training
  Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2021.
  paper code

• Fast and Practical Neural Architecture Search
  Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia.
  IEEE International Conference on Computer Vision (ICCV), 2019.
  paper code

• Doubly Abductive Counterfactual Inference for Text-based Image Editing
  Xue Song, Jiequan Cui, Hanwang Zhang, Jingjing Chen, Richang Hong, YuGang Jiang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  paper code

• Learning Context-aware Classifier for Semantic Segmentation
  Zhuotao Tian, Jiequan Cui, Li Jiang, Xiaojuan Qi, Xin Lai, Yixin Chen, Shu Liu, Jiaya Jia.
  AAAI Conference on Artificial Intelligence (AAAI), 2023.
  paper

• Improving Calibration for Long-Tailed Recognition
  Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  paper code

Experiences

• SmartMore, ShenZhen, China.
  Research Intern
  Mentor: Shu Liu
  Time: 2020.03 - 2021.12

• YouTu X-Lab, Tencent, ShenZhen, China.
  Research Intern
  Mentor: Xiaoyong Shen
  Time: 2018.09 - 2020.02

• Reviewer for Journals
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
  International Journal of Computer Vision (IJCV).
  IEEE Transactions on Image Processing (TIP).
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

• Reviewer for Conferences
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
  IEEE International Conference on Computer Vision (ICCV).
  European Conference on Computer Vision (ECCV).
  International Conference on Learning Representations (ICLR).
  Neural Information Processing Systems (NeurIPS).
  International Conference on Machine Learning(ICML).