Mingyang Zhang | DeepAI

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Xin Wang
357 publications
Chunhua Shen
304 publications
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188 publications
Haizhou Li
133 publications
Junichi Yamagishi
122 publications
Tao Chen
118 publications
Yi Zhou
114 publications
Cheng Li
114 publications
Yue Wu
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Yong Li
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Rui Liu
89 publications

∙ 05/28/2023

Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

Large pre-trained models (LPMs), such as LLaMA and ViT-G, have shown exc...

0 Mingyang Zhang, et al. ∙

∙ 04/07/2023

A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image

3D interacting hand pose estimation from a single RGB image is a challen...

0 Changlong Jiang, et al. ∙

∙ 11/14/2022

Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification

In recent years, research on hyperspectral image (HSI) classification ha...

10 Mingyang Zhang, et al. ∙

∙ 10/11/2022

Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach

The empirical studies of Graph Neural Networks (GNNs) broadly take the o...

7 Xiaolong Fan, et al. ∙

∙ 04/13/2022

De-IReps: Searching for improved Re-parameterizing Architecture based on Differentiable Evolution Strategy

In recent years, neural architecture search (NAS) has shown great compet...

0 Xinyi Yu, et al. ∙

∙ 01/25/2022

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models

The pre-trained language model (eg, BERT) based deep retrieval models ac...

0 Tao Chen, et al. ∙

∙ 10/13/2021

DeepA: A Deep Neural Analyzer For Speech And Singing Vocoding

Conventional vocoders are commonly used as analysis tools to provide int...

0 Sergey Nikonorov, et al. ∙

∙ 10/12/2021

Across-Task Neural Architecture Search via Meta Learning

Adequate labeled data and expensive compute resources are the prerequisi...

9 Jingtao Rong, et al. ∙

∙ 10/07/2021

VisualTTS: TTS with Accurate Lip-Speech Synchronization for Automatic Voice Over

In this paper, we formulate a novel task to synthesize speech in sync wi...

0 Junchen Lu, et al. ∙

∙ 09/24/2021

Indoor Localization Using Smartphone Magnetic with Multi-Scale TCN and LSTM

A novel multi-scale temporal convolutional network (TCN) and long short-...

0 Mingyang Zhang, et al. ∙

∙ 09/08/2021

RepNAS: Searching for Efficient Re-parameterizing Blocks

In the past years, significant improvements in the field of neural archi...

16 Mingyang Zhang, et al. ∙

∙ 06/11/2021

Dynamic Language Models for Continuously Evolving Content

The content on the web is in a constant state of flux. New entities, iss...

14 Spurthi Amba Hombaiah, et al. ∙

∙ 04/16/2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding

Document layout comprises both structural and visual (eg. font-sizes) in...

25 Te-Lin Wu, et al. ∙

∙ 04/15/2021

Privacy-Adaptive BERT for Natural Language Understanding

When trying to apply the recent advance of Natural Language Understandin...

10 Chen Qu, et al. ∙

∙ 11/10/2020

Stage-wise Channel Pruning for Model Compression

Auto-ML pruning methods aim at searching a pruning strategy automaticall...

0 Mingyang Zhang, et al. ∙

∙ 10/02/2020

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach

Search engines often follow a two-phase paradigm where in the first stag...

0 Saar Kuzi, et al. ∙

∙ 09/30/2020

Transfer Learning from Speech Synthesis to Voice Conversion with Non-Parallel Training Data

This paper presents a novel framework to build a voice conversion (VC) s...

0 Mingyang Zhang, et al. ∙

∙ 05/13/2020

Converting Anyone's Emotion: Towards Speaker-Independent Emotional Voice Conversion

Emotional voice conversion aims to convert the emotion of the speech fro...

29 Kun Zhou, et al. ∙

∙ 04/26/2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching

Many information retrieval and natural language processing problems can ...

0 Liu Yang, et al. ∙

∙ 04/25/2020

Urban Anomaly Analytics: Description, Detection, and Prediction

Urban anomalies may result in loss of life or property if not handled pr...

0 Mingyang Zhang, et al. ∙

∙ 11/22/2019

Graph Pruning for Model Compression

Previous AutoML pruning works utilized individual layer features to auto...

0 Mingyang Zhang, et al. ∙

∙ 05/27/2019

VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019

We describe our submitted system for the ZeroSpeech Challenge 2019. The ...

0 Andros Tjandra, et al. ∙

∙ 03/29/2019

Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet

We investigated the training of a shared model for both text-to-speech (...

0 Mingyang Zhang, et al. ∙