no code implementations • 19 Apr 2024 • Ziqiang Shi, Rujie Liu
In this paper, we propose a novel fast high-quality generative modelling method based on high-order Langevin dynamics (HOLD) with score matching.
no code implementations • 7 Jul 2021 • Sachihiro Youoku, Takahisa Yamamoto, Junya Saito, Akiyoshi Uchida, Xiaoyu Mi, Ziqiang Shi, Liu Liu, Zhongling Liu, Osafumi Nakayama, Kentaro Murase
Therefore, after learning the common features for each frame, we constructed a facial expression estimation model and valence-arousal model using time-series data after combining the common features and the standardized features for each video.
no code implementations • 23 Sep 2020 • Ziqiang Shi, Liu Liu, Zhongling Liu, Rujie Liu, Xiaoyu Mi, and Kentaro Murase
The features are input to a bidirectional long short-term memory (BiLSTM) layer for learning the intensity distribution.
1 code implementation • 6 Aug 2020 • Ziqiang Shi, Rujie Liu, Jiqing Han
We have open sourced our re-implementation of the DPRNN-TasNet here (https://github. com/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation), and our TasTas is realized based on this implementation of DPRNN-TasNet, it is believed that the results in this paper can be reproduced with ease.
1 code implementation • 23 Jan 2020 • Ziqiang Shi, Rujie Liu, Jiqing Han
We have open-sourced our re-implementation of the DPRNN-TasNet in https://github. com/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation, and our `La Furca' is realized based on this implementation of DPRNN-TasNet, it is believed that the results in this paper can be smoothly reproduced.
Sound Audio and Speech Processing
no code implementations • 25 Mar 2019 • Wei Shen, Ziqiang Shi, Jun Sun
Then we use the adversarial region attention to aggregate the feature maps to obtain the adversarial features.
no code implementations • 12 Feb 2019 • Ziqiang Shi, Huibin Lin, Liu Liu, Rujie Liu, Jiqing Han, Anyan Shi
Deep dilated temporal convolutional networks (TCN) have been proved to be very effective in sequence modeling.
Sound Audio and Speech Processing
no code implementations • 2 Oct 2018 • Jinyin Chen, Ziqiang Shi, Yangyang Wu, Xuanheng Xu, Haibin Zheng
Deep neural network has shown remarkable performance in solving computer vision and some graph evolved tasks, such as node classification and link prediction.
Physics and Society Social and Information Networks
no code implementations • 20 Apr 2017 • Ziqiang Shi, Liu Liu, Mengjiao Wang, Rujie Liu
However, in practical use, when using multi-task learned network as feature extractor, the extracted feature are always attached to several labels.
no code implementations • 18 Apr 2016 • Ziqiang Shi, Rujie Liu
Thus in some applications, in order to train sparse models fast, we propose to combine the merits of both methods, that is we use PROXTONE in the first several epochs to reach the neighborhood of an optimal solution, and then use the first order method to explore the possibility of sparsity in the following training.
no code implementations • 22 Aug 2013 • Ziqiang Shi, Rujie Liu
Then we proved that the online DRs splitting method enjoy an $O(1)$ regret bound and stochastic DRs splitting has a convergence rate of $O(1/\sqrt{T})$.