Biography
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
Data-centric AI opens the door to Artificial General Intelligence (AGI). However, data biases inevitably exist in large-scale data, like data imbalance, spurious correlations among classes, and annotation noise. I’m interested in fundamental research of model generalization and robustness on different data distributions, realizing effective usage of large-scale data and that the trained models do not suffer from data biases. It usually involves problems in machine learning and computer vision, like distribution shifts, adversarial robustness, fairness, and out-of-distribution generalization.
Additionally, I aim to understand the behaviors of large models, such as Stable Diffusion models, LLMs, and VLMs, and their applications in downstream tasks.
I am excited to explore new machine learning problems, including AI for science and 3D modeling challenges.
Publications [Google Scholar]
* represents equal contributions
Decoupled Kullback-Leibler Divergence Loss
Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
paper codeClasses 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 codeGenralized 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 codeUnderstanding 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.
paperResLT: 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 codeParametric Contrastive Learning
Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia.
IEEE International Conference on Computer Vision (ICCV), 2021.
paper codeLearnable Boundary Guided Adversarial Training
Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia.
IEEE International Conference on Computer Vision (ICCV), 2021.
paper codeFast 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 codeRobust Fine-tuning of Zero-shot Models via Variance Reduction
Beier Zhu, Jiequan Cui, Hanwang Zhang.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
paperTypicalness-Aware Learning for Failure Detection
Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su.
Conference on Neural Information Processing Systems (NeurIPS), 2024.
paperInstruction Tuning-free Visual Token Complement for Multimodal LLMs
Dongsheng Wang, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang.
European Conference on Computer Vision (ECCV), 2024.
paperDoubly 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 codeLearning 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.
paperImproving 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 - 2021.12YouTu X-Lab, Tencent, ShenZhen, China.
Research Intern
Mentor: Xiaoyong Shen
Time: 2018.09 - 2020.02Reviewer 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).