Publications

Notes: Supervisors = †; Corresponding authors = *; Please see [Google Scholar] for more my recent work.

Conference Proceedings

[13] Jingjing Zheng, Anda Tang, Qiangqiang Mao, Zhouchen Lin, Yankai Cao,†. ReFTA: Breaking the Weight Reconstruction Bottleneck in Tensorized Parameter-Efficient Fine-Tuning. CVPR, 2026.

[12] Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao,†, Zhouchen Lin. AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning. NeurIPS, 2025.

[11] Qiangqiang Mao, Jiayang Ren, Yixiu Wang, Chenxuanyin Zou, Jingjing Zheng, Yankai Cao,†. Differentiable Decision Tree via “ReLU+Argmin” Reformulation. *NeurIPS (spotlight), 2025.

[10] Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao,†, Xiaoqin Zhang†, Xianta Jiang†. Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework. *ECCV, 2024. [paper]

[9] Ziang Wu, Xianta Jiang, Jingjing Zheng, Bin Zheng, Stella Atkins. Measuring Motor Task Difficulty using Low/High Index of Pupillary Activity. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024. [paper]

[8] Jingjing Zheng, Yankai Cao,†. Bayesian-Driven Learning of A New Weighted Tensor Norm for Tensor Recovery. *Tiny Paper Track at ICLR, 2024. [paper] [code]

[7] Jingjing Zheng, John Hawkin, Charles Robertson, Alexander Howse, Yuanzhu Chen, Xianta Jiang†. Unsupervised Financial Fraud Detection Using Low-rank Recovery. *Canadian Conference on Artificial Intelligence, 2023. [paper]

[6] Xianta Jiang, Ziang Wu, Jingjing Zheng, Bin Zheng, M. Stella Atkins. Index Pupil Activity Echoing with Task Difficulty in Fitts’ Law Setting, Eyes4ICU workshop at ETRA, 2023.

[5] Jingjing Zheng, Xiaoqin Zhang,†, Wenzhe Wang, Xianta Jiang†. Handling Slice Permutations Variability in Tensor Recovery. *AAAI Conference on Artificial Intelligence, 2022. [paper] [supplementary material] [introduction video] [poster]

[4] Yufang Yan, Xiaoqin Zhang, Jingjing Zheng, Li Zhao. Weighted Tensor Schatten p-norm Minimization for Image Denoising. *China Intelligent System Conference, 2019:163-172. 2018 Outstanding Paper Award

Journal Publications

[8] Xiaoqin Zhang†, Ziwei Huang, Jingjing Zheng, Shuo Wang, Xianta Jiang. DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer Learning, *Science China Information Sciences, 2024. (IF:7.6) [paper]

[7] Xiaoqin Zhang,†, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, and Zhouchen Lin. Structured Sparsity Optimization with Non-Convex Surrogates of L2,0-Norm: A Unified Algorithmic Framework. *IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. (IF:20.8) [paper] [code]

[6] Xiaoqin Zhang,†, Jingjing Zheng, Li Zhao, Zhengyuan Zhou, Zhouchen Lin. Tensor Recovery With Weighted Tensor Average Rank. *IEEE Transactions on Neural Networks and Learning Systems, 2022. (IF:11.1) [paper] [code]

[5] Xiaoqin Zhang,†, Jingjing Zheng, Di Wang and Li Zhao. Exemplar-Based Denoising: A Unified Low-rank Recovery Framework. *IEEE Transactions on Circuits and Systems for Video Technology, 2020,30(8):2538-2549. (IF:14.255) [paper]

[4] Xiaoqin Zhang†, Jingjing Zheng, Yufang Yan, Li Zhao, Runhua Jiang. Joint Weighted Tensor Schatten p-Norm and Tensor lp-norm Minimization for Image Denoising. *IEEE Access, 2019. [paper]

Preprints

[3] Muhammad Ahmad, Jingjing Zheng, Yankai Cao,†. On Catastrophic Forgetting in Low-Rank Decomposition-Based Parameter-Efficient Fine-Tuning. *arXiv:2603.09684, 2026. [paper]

[2] Jingjing Zheng, Yankai Cao,†. Adaptive Principal Components Allocation with the ℓ2,g-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models. *arXiv:2412.08592, 2024. [paper]

[1] Jingjing Zheng, Wenzhe Wang, Xiaoqin Zhang,†, Xianta Jiang,†. A Novel Tensor Factorization-Based Method with Robustness to Inaccurate Rank Estimation. arXiv:2305.11458, 2023. [paper]

Patents

[2] Xiaoqin Zhang†, Jingjing Zheng, Yufang Yan, Image Denoising Method Based on Novel Norm, Patent Number: 201810233460.7, Date of Application: 2018.03.21

[1] Li Zhao, Xiaoqin Zhang†, Jingjing Zheng, Wenzhe Wang, A Nonlocal Denoising Framework Based on Generalized Non-convex Tensor Robust Principal Component Analysis for Color Image and Video, Patent Number: CN202110010629.4, Date of Application: 2021.01.06