3 papers
cs.LG2026
The power of small initialization in noisy low-tubal-rank tensor recovery
ZHiyu Liu, Haobo Geng, Xudong Wang +3
We study the problem of recovering a low-tubal-rank tensor from noisy linear measurements under the t-product framework. A…
cs.LG2025
Efficient Low-Tubal-Rank Tensor Estimation via Alternating Preconditioned Gradient Descent
Zhiyu Liu, Zhi Han, Yandong Tang +2
The problem of low-tubal-rank tensor estimation is a fundamental task with wide applications across high-dimensional signal processing, machine learning, and image science. Traditi…
cs.CV2025
Review helps learn better: Temporal Supervised Knowledge Distillation
Dongwei Wang, Zhi Han, Yanmei Wang +3
Reviewing plays an important role when learning knowledge. The knowledge acquisition at a certain time point may be strongly inspired with the help of previous experience. Thus the…