no code implementations • 1 Apr 2024 • Qiusen Wei, Guoheng Huang, Xiaochen Yuan, Xuhang Chen, Guo Zhong, Jianwen Huang, Jiajie Huang
Thanks to the lightweight nature of the decoder and AQP, we can handle multiple datasets by sharing the backbone encoder and then only perform partial parameter tuning without incurring much additional cost.
1 code implementation • IEEE Transactions on Neural Networks and Learning Systems 2022 • Hailin Wang, Feng Zhang, Jianjun Wang, TingWen Huang, Jianwen Huang, and Xinling Liu
The tensor-tensor product-induced tensor nuclear norm (t-TNN) (Lu et al., 2020) minimization for low-tubal-rank tensor recovery attracts broad attention recently.
no code implementations • 4 Jun 2019 • Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang
In previous work, theoretical analysis based on the tensor Restricted Isometry Property (t-RIP) established the robust recovery guarantees of a low-tubal-rank tensor.