b'Shuai Zhang'

FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization

Transducer-based models, such as RNN-Transducer and transformer-transduc...
04/07/2021 ∙ by Zhengkun Tian, et al. ∙ 0 ∙ share

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TSNAT: Two-Step Non-Autoregressvie Transformer Models for Speech Recognition

The autoregressive (AR) models, such as attention-based encoder-decoder ...
04/04/2021 ∙ by Zhengkun Tian, et al. ∙ 0 ∙ share

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Switch Spaces: Learning Product Spaces with Sparse Gating

Learning embedding spaces of suitable geometry is critical for represent...
02/17/2021 ∙ by Shuai Zhang, et al. ∙ 6 ∙ share

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Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters

Recent works have demonstrated reasonable success of representation lear...
02/17/2021 ∙ by Aston Zhang, et al. ∙ 6 ∙ share

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Fast End-to-End Speech Recognition via a Non-Autoregressive Model and Cross-Modal Knowledge Transferring from BERT

Attention-based encoder-decoder (AED) models have achieved promising per...
02/15/2021 ∙ by Ye Bai, et al. ∙ 11 ∙ share

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Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks

Massive account registration has raised concerns on risk management in e...
12/20/2020 ∙ by Susie Xi Rao, et al. ∙ 0 ∙ share

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Fast and Efficient Parallel Breadth-First Search with Power-law Graph Transformation

In the big data era, graph computing is widely used to exploit the hidde...
12/18/2020 ∙ by Zite Jiang, et al. ∙ 0 ∙ share

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Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Many real-world applications require the prediction of long sequence tim...
12/14/2020 ∙ by Haoyi Zhou, et al. ∙ 0 ∙ share

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xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs

At online retail platforms, it is crucial to actively detect risks of fr...
11/24/2020 ∙ by Susie Xi Rao, et al. ∙ 0 ∙ share

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Learning User Representations with Hypercuboids for Recommender Systems

Modeling user interests is crucial in real-world recommender systems. In...
11/11/2020 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition

Despite the recent significant advances witnessed in end-to-end (E2E) AS...
10/28/2020 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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An Efficient and Balanced Graph Partition Algorithm for the Subgraph-Centric Programming Model on Large-scale Power-law Graphs

The subgraph-centric programming model is a promising approach and has b...
10/18/2020 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions

Deep neural networks are widely used in personalized recommendation syst...
10/12/2020 ∙ by Wenqi Jiang, et al. ∙ 0 ∙ share

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Nonconvex Regularization for Network Slimming:Compressing CNNs Even More

In the last decade, convolutional neural networks (CNNs) have evolved to...
10/03/2020 ∙ by Kevin Bui, et al. ∙ 6 ∙ share

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Computational prediction of RNA tertiary structures using machine learning methods

RNAs play crucial and versatile roles in biological processes. Computati...
09/03/2020 ∙ by Bin Huang, et al. ∙ 32 ∙ share

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A Practical Chinese Dependency Parser Based on A Large-scale Dataset

Dependency parsing is a longstanding natural language processing task, w...
09/02/2020 ∙ by Shuai Zhang, et al. ∙ 10 ∙ share

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Performance Optimization for Federated Person Re-identification via Benchmark Analysis

Federated learning is a privacy-preserving machine learning technique th...
08/26/2020 ∙ by Weiming Zhuang, et al. ∙ 13 ∙ share

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Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case

Although graph neural networks (GNNs) have made great progress recently ...
06/25/2020 ∙ by Shuai Zhang, et al. ∙ 23 ∙ share

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Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning

The chest X-Ray (CXR) is the one of the most common clinical exam used t...
06/18/2020 ∙ by Shuai Zhang, et al. ∙ 35 ∙ share

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Spike-Triggered Non-Autoregressive Transformer for End-to-End Speech Recognition

Non-autoregressive transformer models have achieved extremely fast infer...
05/16/2020 ∙ by Zhengkun Tian, et al. ∙ 0 ∙ share

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Listen Attentively, and Spell Once: Whole Sentence Generation via a Non-Autoregressive Architecture for Low-Latency Speech Recognition

Although attention based end-to-end models have achieved promising perfo...
05/11/2020 ∙ by Ye Bai, et al. ∙ 0 ∙ share

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TRP: Trained Rank Pruning for Efficient Deep Neural Networks

To enable DNNs on edge devices like mobile phones, low-rank approximatio...
04/30/2020 ∙ by Yuhui Xu, et al. ∙ 8 ∙ share

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Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition

Recently, language identity information has been utilized to improve the...
02/19/2020 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Topology Aware Deep Learning for Wireless Network Optimization

Data-driven machine learning approaches have recently been proposed to f...
12/18/2019 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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ℓ_0 Regularized Structured Sparsity Convolutional Neural Networks

Deepening and widening convolutional neural networks (CNNs) significantl...
12/17/2019 ∙ by Kevin Bui, et al. ∙ 0 ∙ share

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Synchronous Transformers for End-to-End Speech Recognition

For most of the attention-based sequence-to-sequence models, the decoder...
12/06/2019 ∙ by Zhengkun Tian, et al. ∙ 0 ∙ share

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Integrating Whole Context to Sequence-to-sequence Speech Recognition

Because an attention based sequence-to-sequence speech (Seq2Seq) recogni...
12/04/2019 ∙ by Ye Bai, et al. ∙ 0 ∙ share

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Weakly-Supervised Degree of Eye-Closeness Estimation

Following recent technological advances there is a growing interest in b...
10/24/2019 ∙ by Eyasu Mequanint, et al. ∙ 12 ∙ share

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Traned Rank Pruning for Efficient Deep Neural Networks

To accelerate DNNs inference, low-rank approximation has been widely ado...
10/09/2019 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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A Tensorized Transformer for Language Modeling

Latest development of neural models has connected the encoder and decode...
06/24/2019 ∙ by Xindian Ma, et al. ∙ 0 ∙ share

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Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks

Many state-of-the-art neural models for NLP are heavily parameterized an...
06/11/2019 ∙ by Yi Tay, et al. ∙ 0 ∙ share

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Quaternion Collaborative Filtering for Recommendation

This paper proposes Quaternion Collaborative Filtering (QCF), a novel re...
06/06/2019 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

Deep learning based recommender systems have been extensively explored i...
05/25/2019 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Quaternion Knowledge Graph Embedding

Complex-valued representations have demonstrated promising results on mo...
04/23/2019 ∙ by Shuai Zhang, et al. ∙ 30 ∙ share

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Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

Training activation quantized neural networks involves minimizing a piec...
03/13/2019 ∙ by Penghang Yin, et al. ∙ 6 ∙ share

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Semantically Enhanced Time Series Databases in IoT-Edge-Cloud Infrastructure

Many IoT systems are data intensive and are for the purpose of monitorin...
02/10/2019 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks

ShuffleNet is a state-of-the-art light weight convolutional neural netwo...
01/24/2019 ∙ by Jiancheng Lyu, et al. ∙ 0 ∙ share

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Energy Efficient Massive MIMO through Distributed Precoder Design

This paper presents an energy-efficient downlink precoding scheme with t...
12/25/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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DAC: Data-free Automatic Acceleration of Convolutional Networks

Deploying a deep learning model on mobile/IoT devices is a challenging t...
12/20/2018 ∙ by Xin Li, et al. ∙ 0 ∙ share

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DRONE: a Distributed Subgraph-Centric Framework for Processing Large Scale Power-law Graphs

Nowadays, in the big data era, social networks, graph databases, knowled...
12/11/2018 ∙ by Xiaole Wen, et al. ∙ 0 ∙ share

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DRONE: a Distributed gRaph cOmputiNg Engine

Nowadays, in big data era, social networks, graph database, knowledge gr...
12/11/2018 ∙ by Xiaole Wen, et al. ∙ 0 ∙ share

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Trained Rank Pruning for Efficient Deep Neural Networks

The performance of Deep Neural Networks (DNNs) keeps elevating in recent...
12/06/2018 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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DNQ: Dynamic Network Quantization

Network quantization is an effective method for the deployment of neural...
12/06/2018 ∙ by Yuhui Xu, et al. ∙ 0 ∙ share

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Hyperbolic Recommender Systems

Many well-established recommender systems are based on representation le...
09/05/2018 ∙ by Tran Dang Quang Vinh, et al. ∙ 0 ∙ share

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Next Item Recommendation with Self-Attention

In this paper, we propose a novel sequence-aware recommendation model. O...
08/20/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Dynamic Intention-Aware Recommendation with Self-Attention

Predicting the missing values given the observed interaction matrix is a...
08/20/2018 ∙ by Shuai Zhang, et al. ∙ 0 ∙ share

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Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks

Quantized deep neural networks (QDNNs) are attractive due to their much ...
08/15/2018 ∙ by Penghang Yin, et al. ∙ 2 ∙ share

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Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships

Knowledge acquisition and exchange are generally crucial yet costly for ...
08/03/2018 ∙ by Chaoran Huang, et al. ∙ 0 ∙ share

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GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest

Random forest and deep neural network are two schools of effective class...
06/21/2018 ∙ by Manqing Dong, et al. ∙ 0 ∙ share

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Self-Attentive Neural Collaborative Filtering

The dominant, state-of-the-art collaborative filtering (CF) methods toda...
06/17/2018 ∙ by Yi Tay, et al. ∙ 6 ∙ share

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Shuai Zhang

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