Publications
Selected Publications:
Notes: Supervisors = †; Corresponding authors = *; Please see [Google Scholar] for more my recent work.
Conference Papers:
[5] Jingjing Zheng, Wanglong Lu, Yiming Dong, Chaojie Ji, Yankai Cao*,†, Zhouchen Lin*. AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning. NeurIPS, 2025.
[4] Qiangqiang Mao, Jiayang Ren, Yixiu Wang, Chenxuanyin Zou, Jingjing Zheng, Yankai Cao*,†. Differentiable Decision Tree via “ReLU+Argmin” Reformulation. NeurIPS (spotlight), 2025.
[3] 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]
[2] 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]
[1] Jingjing Zheng, Xiaoqin Zhang*,†, Wenzhe Wang, Xianta Jiang†. Handling Slice Permutations Variability in Tensor Recovery. AAAI, 2022. [paper][supplementary material][introduction video] [poster]
Journal Papers:
[4] 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.
[3] 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]
[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.
Preprinted Papers:
[1] Jingjing Zheng, Yankai Cao*,†. Adaptive Principal Components Allocation with the $\ell_ {2, g}$-regularized Gaussian Graphical Model for Efficient Fine-Tuning Large Models. arXiv preprint arXiv:2412.08592, 2024.