94 citations · 141 across the 11 of their papers we have counts for
11 papers
Integrating Source-channel and Attention-based Sequence-to-sequence Models for Speech Recognition
Qiujia Li, Chao Zhang, Philip C. Woodland
This paper proposes a novel automatic speech recognition (ASR) framework called Integrated Source-Channel and Attention (ISCA) that combines the advantages of traditional systems b…
Truxen: A Trusted Computing Enhanced Blockchain
Chao Zhang
Truxen is a Trusted Computing enhanced blockchain that uses Proof of Integrity protocol as the consensus. Proof of Integrity protocol is derived from Trusted Computing and associat…
C3AE: Exploring the Limits of Compact Model for Age Estimation
Chao Zhang, Shuaicheng Liu, Xun Xu +1
Age estimation is a classic learning problem in computer vision. Many larger and deeper CNNs have been proposed with promising performance, such as AlexNet, VggNet, GoogLeNet and R…
Sparse DNNs with Improved Adversarial Robustness
Yiwen Guo, Chao Zhang, Changshui Zhang +1
Deep neural networks (DNNs) are computationally/memory-intensive and vulnerable to adversarial attacks, making them prohibitive in some real-world applications. By converting dense…
Feature Incay for Representation Regularization
Yuhui Yuan, Kuiyuan Yang, Chao Zhang
Softmax loss is widely used in deep neural networks for multi-class classification, where each class is represented by a weight vector, a sample is represented as a feature vector,…
Accelerated Variance Reduced Block Coordinate Descent
Zebang Shen, Hui Qian, Chao Zhang +1
Algorithms with fast convergence, small number of data access, and low per-iteration complexity are particularly favorable in the big data era, due to the demand for obtaining \emp…
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan, Kuiyuan Yang, Chao Zhang
Riding on the waves of deep neural networks, deep metric learning has also achieved promising results in various tasks using triplet network or Siamese network. Though the basic go…
Engineering Deep Representations for Modeling Aesthetic Perception
Yanxiang Chen, Yuxing Hu, Luming Zhang +2
Many aesthetic models in computer vision suffer from two shortcomings: 1) the low descriptiveness and interpretability of those hand-crafted aesthetic criteria (i.e., nonindicative…
Task-group Relatedness and Generalization Bounds for Regularized Multi-task Learning
Chao Zhang, Dacheng Tao, Tao Hu +1
In this paper, we study the generalization performance of regularized multi-task learning (RMTL) in a vector-valued framework, where MTL is considered as a learning process for vec…
A Parallel Way to Select the Parameters of SVM Based on the Ant Optimization Algorithm
Chao Zhang, Hong-cen Mei, Hao Yang
A large number of experimental data shows that Support Vector Machine (SVM) algorithm has obvious advantages in text classification, handwriting recognition, image classification,…
Generalization Bounds for Representative Domain Adaptation
Chao Zhang, Lei Zhang, Wei Fan +1
In this paper, we propose a novel framework to analyze the theoretical properties of the learning process for a representative type of domain adaptation, which combines data from m…