Publications

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

Selected Publications:

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

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

[8] 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]

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

[6] 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.

[5] 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. [paper] [code]

[4] 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.

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

[2] 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. [paper] [code]

[1] 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, 2019.