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20162023
most citedBeyond Product Quantization: Deep Progressive Quantization for Image Retrieval

538 citations · 2.4k across the 71 of their papers we have counts for

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Showing 2021Show all

17 papers · 1 filter

eess.AS2021★ 2 cited

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Rongjie Huang, Feiyang Chen, Yi Ren +3

High-fidelity multi-singer singing voice synthesis is challenging for neural vocoder due to the singing voice data shortage, limited singer generalization, and large computational…

cs.CV2021

SimulSLT: End-to-End Simultaneous Sign Language Translation

Aoxiong Yin, Zhou Zhao, Jinglin Liu +4

Sign language translation as a kind of technology with profound social significance has attracted growing researchers' interest in recent years. However, the existing sign language…

cs.CL2021★ 3 cited

A Chinese Multi-type Complex Questions Answering Dataset over Wikidata

Jianyun Zou, Min Yang, Lichao Zhang +8

Complex Knowledge Base Question Answering is a popular area of research in the past decade. Recent public datasets have led to encouraging results in this field, but are mostly lim…

cs.IR2021★ 2 cited

Multi-trends Enhanced Dynamic Micro-video Recommendation

Yujie Lu, Yingxuan Huang, Shengyu Zhang +4

The explosively generated micro-videos on content sharing platforms call for recommender systems to permit personalized micro-video discovery with ease. Recent advances in micro-vi…

cs.LG2021★ 1 cited

Stable Prediction on Graphs with Agnostic Distribution Shift

Shengyu Zhang, Kun Kuang, Jiezhong Qiu +5

Graph is a flexible and effective tool to represent complex structures in practice and graph neural networks (GNNs) have been shown to be effective on various graph tasks with rand…

cs.CV2021★ 23 cited

Test-time Batch Statistics Calibration for Covariate Shift

Fuming You, Jingjing Li, Zhou Zhao

Deep neural networks have a clear degradation when applying to the unseen environment due to the covariate shift. Conventional approaches like domain adaptation requires the pre-co…

eess.AS2021

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

Rongjie Huang, Chenye Cui, Feiyang Chen +5

Deep generative models have achieved significant progress in speech synthesis to date, while high-fidelity singing voice synthesis is still an open problem for its long continuous…

eess.AS2021★ 17 cited

FedSpeech: Federated Text-to-Speech with Continual Learning

Ziyue Jiang, Yi Ren, Ming Lei +1

Federated learning enables collaborative training of machine learning models under strict privacy restrictions and federated text-to-speech aims to synthesize natural speech of mul…

cs.IR2021★ 2 cited

Why Do We Click: Visual Impression-aware News Recommendation

Jiahao Xun, Shengyu Zhang, Zhou Zhao +7

There is a soaring interest in the news recommendation research scenario due to the information overload. To accurately capture users' interests, we propose to model multi-modal fe…

cs.IR2021★ 116 cited

CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation

Shengyu Zhang, Dong Yao, Zhou Zhao +2

Learning user representations based on historical behaviors lies at the core of modern recommender systems. Recent advances in sequential recommenders have convincingly demonstrate…

eess.AS2021★ 6 cited

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Yi Ren, Jinglin Liu, Zhou Zhao

Non-autoregressive text-to-speech (NAR-TTS) models such as FastSpeech 2 and Glow-TTS can synthesize high-quality speech from the given text in parallel. After analyzing two kinds o…

cs.CV2021★ 2 cited

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

Zhijie Lin, Zhou Zhao, Haoyuan Li +4

Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its applica…

cs.CL2021

EMOVIE: A Mandarin Emotion Speech Dataset with a Simple Emotional Text-to-Speech Model

Chenye Cui, Yi Ren, Jinglin Liu +4

Recently, there has been an increasing interest in neural speech synthesis. While the deep neural network achieves the state-of-the-art result in text-to-speech (TTS) tasks, how to…

cs.SD2021★ 2 cited

WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution

Kexun Zhang, Yi Ren, Changliang Xu +1

Audio super-resolution is the task of constructing a high-resolution (HR) audio from a low-resolution (LR) audio by adding the missing band. Previous methods based on convolutional…

cs.LG2021

Learning to Rehearse in Long Sequence Memorization

Zhu Zhang, Chang Zhou, Jianxin Ma +4

Existing reasoning tasks often have an important assumption that the input contents can be always accessed while reasoning, requiring unlimited storage resources and suffering from…

cs.CV2021

Modeling High-order Interactions across Multi-interests for Micro-video Recommendation

Dong Yao, Shengyu Zhang, Zhou Zhao +4

Personalized recommendation system has become pervasive in various video platform. Many effective methods have been proposed, but most of them didn't capture the user's multi-level…

eess.AS2021★ 35 cited

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

Jinglin Liu, Chengxi Li, Yi Ren +2

Singing voice synthesis (SVS) systems are built to synthesize high-quality and expressive singing voice, in which the acoustic model generates the acoustic features (e.g., mel-spec…