b'Chen Zhang'

research

∙ 05/29/2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression

Driven by the teacher-student paradigm, knowledge distillation is one of...

Chen Zhang, et al. ∙

research

∙ 05/11/2022

Making Pre-trained Language Models Good Long-tailed Learners

Prompt-tuning has shown appealing performance in few-shot classification...

Chen Zhang, et al. ∙

research

∙ 05/09/2022

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality

Text to speech (TTS) has made rapid progress in both academia and indust...

Xu Tan, et al. ∙

research

∙ 04/27/2022

Adaptable Text Matching via Meta-Weight Regulator

Neural text matching models have been used in a range of applications su...

Bo Zhang, et al. ∙

research

∙ 04/05/2022

Split Hierarchical Variational Compression

Variational autoencoders (VAEs) have witnessed great success in performi...

Tom Ryder, et al. ∙

research

∙ 03/25/2022

Automatic Song Translation for Tonal Languages

This paper develops automatic song translation (AST) for tonal languages...

Fenfei Guo, et al. ∙

research

∙ 03/18/2022

Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges

This is a report on the NSF Future Directions Workshop on Automatic Eval...

Shikib Mehri, et al. ∙

research

∙ 02/23/2022

Data-Driven Decision Making in COVID-19 Response: A Survey

COVID-19 has spread all over the world, having an enormous effect on our...

Shuo Yu, et al. ∙

research

∙ 02/21/2022

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

The L3DAS22 Challenge is aimed at encouraging the development of machine...

Eric Guizzo, et al. ∙

research

∙ 02/21/2022

S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification

In this paper, we propose S3T, a self-supervised pre-training method wit...

Hang Zhao, et al. ∙

research

∙ 02/14/2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation

Quantization of deep neural networks (DNN) has been proven effective for...

Cong Guo, et al. ∙

research

∙ 01/26/2022

A two-step backward compatible fullband speech enhancement system

Speech enhancement methods based on deep learning have surpassed traditi...

Xu Zhang, et al. ∙

research

∙ 12/14/2021

MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation

Chatbots are designed to carry out human-like conversations across diffe...

Chen Zhang, et al. ∙

research

∙ 12/05/2021

Boosting Mobile CNN Inference through Semantic Memory

Human brains are known to be capable of speeding up visual recognition o...

Yun Li, et al. ∙

research

∙ 11/03/2021

Automatic Evaluation and Moderation of Open-domain Dialogue Systems

The development of Open-Domain Dialogue Systems (ODS)is a trending topic...

Chen Zhang, et al. ∙

research

∙ 11/02/2021

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

Explicit deep generative models (DGMs), e.g., VAEs and Normalizing Flows...

Chen Zhang, et al. ∙

research

∙ 10/22/2021

Conditional Variational Autoencoder for Learned Image Reconstruction

Learned image reconstruction techniques using deep neural networks have ...

Chen Zhang, et al. ∙

research

∙ 10/05/2021

Investigating the Impact of Pre-trained Language Models on Dialog Evaluation

Recently, there is a surge of interest in applying pre-trained language ...

Chen Zhang, et al. ∙

research

∙ 10/04/2021

Revisiting Self-Training for Few-Shot Learning of Language Model

As unlabeled data carry rich task-relevant information, they are proven ...

Yiming Chen, et al. ∙

research

∙ 10/01/2021

Improving Object Permanence using Agent Actions and Reasoning

Object permanence in psychology means knowing that objects still exist e...

Ying Siu Liang, et al. ∙

research

∙ 09/29/2021

Flow Based Models For Manifold Data

Flow-based generative models typically define a latent space with dimens...

Mingtian Zhang, et al. ∙

research

∙ 09/16/2021

PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription

Automatic lyrics transcription (ALT), which can be regarded as automatic...

Chen Zhang, et al. ∙

research

∙ 09/11/2021

Extract, Integrate, Compete: Towards Verification Style Reading Comprehension

In this paper, we present a new verification style reading comprehension...

Chen Zhang, et al. ∙

research

∙ 06/19/2021

CompConv: A Compact Convolution Module for Efficient Feature Learning

Convolutional Neural Networks (CNNs) have achieved remarkable success in...

Chen Zhang, et al. ∙

research

∙ 06/02/2021

DynaEval: Unifying Turn and Dialogue Level Evaluation

A dialogue is essentially a multi-turn interaction among interlocutors. ...

Chen Zhang, et al. ∙

research

∙ 06/02/2021

Why Machine Reading Comprehension Models Learn Shortcuts?

Recent studies report that many machine reading comprehension (MRC) mode...

Yuxuan Lai, et al. ∙

research

∙ 05/31/2021

Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease

Speech disorders often occur at the early stage of Parkinson's disease (...

Hao Fang, et al. ∙

research

∙ 05/29/2021

Exploiting Position Bias for Robust Aspect Sentiment Classification

Aspect sentiment classification (ASC) aims at determining sentiments exp...

Fang Ma, et al. ∙

research

∙ 05/20/2021

Dual-side Sparse Tensor Core

Leveraging sparsity in deep neural network (DNN) models is promising for...

Yang Wang, et al. ∙

research

∙ 05/18/2021

Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks

Generative Adversarial Networks (GANs) have made great success in synthe...

Chen Zhang, et al. ∙

research

∙ 05/01/2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment

Multi-view clustering (MVC) has been extensively studied to collect mult...

Chen Zhang, et al. ∙

research

∙ 05/01/2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement

Multi-view clustering is an important yet challenging task in machine le...

Chen Zhang, et al. ∙

research

∙ 03/30/2021

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

It is nontrivial to store rapidly growing big data nowadays, which deman...

Shifeng Zhang, et al. ∙

research

∙ 12/17/2020

DenoiSpeech: Denoising Text to Speech with Frame-Level Noise Modeling

While neural-based text to speech (TTS) models can synthesize natural an...

Chen Zhang, et al. ∙

research

∙ 11/17/2020

Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction

Image reconstruction methods based on deep neural networks have shown ou...

Riccardo Barbano, et al. ∙

research

∙ 10/04/2020

A Multi-task Learning Framework for Opinion Triplet Extraction

The state-of-the-art Aspect-based Sentiment Analysis (ABSA) approaches a...

Chen Zhang, et al. ∙

research

∙ 09/22/2020

Partially Observable Online Change Detection via Smooth-Sparse Decomposition

We consider online change detection of high dimensional data streams wit...

Jie Guo, et al. ∙

research

∙ 09/07/2020

Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data

The metro system is playing an increasingly important role in the urban ...

Xiancai Tian, et al. ∙

research

∙ 08/06/2020

FastLR: Non-Autoregressive Lipreading Model with Integrate-and-Fire

Lipreading is an impressive technique and there has been a definite impr...

Jinglin Liu, et al. ∙

research

∙ 07/20/2020

Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent

Recent advances in reconstruction methods for inverse problems leverage ...

Riccardo Barbano, et al. ∙

research

∙ 07/17/2020

Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation

Non-autoregressive translation (NAT) achieves faster inference speed but...

Jinglin Liu, et al. ∙

research

∙ 06/14/2020

UWSpeech: Speech to Speech Translation for Unwritten Languages

Existing speech to speech translation systems heavily rely on the text o...

Chen Zhang, et al. ∙

research

∙ 04/26/2020

Endowing Empathetic Conversational Models with Personas

Empathetic conversational models have been shown to improve user satisfa...

Peixiang Zhong, et al. ∙

research

∙ 04/26/2020

Endowing Empathetic Dialogue Systems with Personas

Empathetic dialogue systems have been shown to improve user satisfaction...

Peixiang Zhong, et al. ∙

research

∙ 04/23/2020

Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile

Spatiotemporal data is very common in many applications, such as manufac...

Ziyue Li, et al. ∙

research

∙ 04/08/2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BERT is a cutting-edge language representation model pre-trained by a la...

Yihuan Mao, et al. ∙

research

∙ 03/18/2020

A Driver Fatigue Recognition Algorithm Based on Spatio-Temporal Feature Sequence

Researches show that fatigue driving is one of the important causes of r...

Chen Zhang, et al. ∙

research

∙ 02/25/2020

End-to-end Emotion-Cause Pair Extraction via Learning to Link

Emotion-cause pair extraction (ECPE), as an emergent natural language pr...

Haolin Song, et al. ∙

research

∙ 01/06/2020

Deeper Insights into Weight Sharing in Neural Architecture Search

With the success of deep neural networks, Neural Architecture Search (NA...

Yuge Zhang, et al. ∙

research

∙ 12/11/2019

Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction

Low-rank tensor decomposition and completion have attracted significant ...

Ziyue Li, et al. ∙

Chen Zhang

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