Search Results for author: Ziqiang Shi

Found 10 papers, 2 papers with code

Multi-modal Affect Analysis using standardized data within subjects in the Wild

no code implementations7 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.

Time Series Time Series Analysis

Speech Separation Based on Multi-Stage Elaborated Dual-Path Deep BiLSTM with Auxiliary Identity Loss

1 code implementation6 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.

Speaker Separation Speech Separation

La Furca: Iterative Context-Aware End-to-End Monaural Speech Separation Based on Dual-Path Deep Parallel Inter-Intra Bi-LSTM with Attention

1 code implementation23 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

Learning from Adversarial Features for Few-Shot Classification

no code implementations25 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.

Classification Few-Shot Learning +1

FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks

no code implementations12 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

Link Prediction Adversarial Attack

no code implementations2 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

Multi-view (Joint) Probability Linear Discrimination Analysis for Multi-view Feature Verification

no code implementations20 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.

Decision Making

Empirical study of PROXTONE and PROXTONE$^+$ for Fast Learning of Large Scale Sparse Models

no code implementations18 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.

Online and stochastic Douglas-Rachford splitting method for large scale machine learning

no code implementations22 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 $O(1/\sqrt{T})$.

BIG-bench Machine Learning

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