b'NetEase, Inc.'

research

∙ 04/19/2022

DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks

Since 2017, the Transformer-based models play critical roles in various ...

Ziyang Luo, et al. ∙

research

∙ 11/12/2019

A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data

Endowing dialogue systems with personas is essential to deliver more hum...

Yinhe Zheng, et al. ∙

research

∙ 09/06/2019

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

A lot of efforts have been devoted to investigating how agents can learn...

Weixun Wang, et al. ∙

research

∙ 04/13/2020

Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization

The automatic intensity estimation of facial action units (AUs) from a s...

Xinhui Song, et al. ∙

research

∙ 07/20/2021

Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion

We propose an audio-driven talking-head method to generate photo-realist...

Suzhen Wang, et al. ∙

research

∙ 09/03/2019

Face-to-Parameter Translation for Game Character Auto-Creation

Character customization system is an important component in Role-Playing...

Tianyang Shi, et al. ∙

research

∙ 09/25/2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

This paper introduces the real image Super-Resolution (SR) challenge tha...

Pengxu Wei, et al. ∙

research

∙ 05/17/2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report

Camera scene detection is among the most popular computer vision problem...

Andrey Ignatov, et al. ∙

research

∙ 08/31/2021

Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems

User behavior has been validated to be effective in revealing personaliz...

Philip J. Feng, et al. ∙

research

∙ 01/18/2022

Dialog Intent Induction via Density-based Deep Clustering Ensemble

Existing task-oriented chatbots heavily rely on spoken language understa...

Jiashu Pu, et al. ∙

research

∙ 07/08/2021

Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

Automatic affective recognition has been an important research topic in ...

Wei Zhang, et al. ∙

research

∙ 09/17/2021

Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification

Hierarchical Text Classification (HTC), which aims to predict text label...

Wei Huang, et al. ∙

research

∙ 06/23/2022

NTIRE 2022 Challenge on Perceptual Image Quality Assessment

This paper reports on the NTIRE 2022 challenge on perceptual image quali...

Jinjin Gu, et al. ∙

research

∙ 09/25/2018

Hierarchical Deep Multiagent Reinforcement Learning

Despite deep reinforcement learning has recently achieved great successe...

Hongyao Tang, et al. ∙

research

∙ 03/12/2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

Deep Reinforcement Learning (DRL) has been applied to address a variety ...

Haotian Fu, et al. ∙

research

∙ 05/28/2019

FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment

Recent face reenactment studies have achieved remarkable success either ...

Jiangning Zhang, et al. ∙

research

∙ 05/31/2019

Reinforcement Learning Experience Reuse with Policy Residual Representation

Experience reuse is key to sample-efficient reinforcement learning. One ...

Wen-Ji Zhou, et al. ∙

research

∙ 07/26/2019

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems

In multiagent systems (MASs), each agent makes individual decisions but ...

Weixun Wang, et al. ∙

research

∙ 09/05/2019

Learning Action-Transferable Policy with Action Embedding

Despite achieving great success on performance in various sequential dec...

Yu Chen, et al. ∙

research

∙ 09/25/2019

Breaking the Data Barrier: Towards Robust Speech Translation via Adversarial Stability Training

In a pipeline speech translation system, automatic speech recognition (A...

Qiao Cheng, et al. ∙

research

∙ 02/04/2020

To-sequence:Multi-label Relation Modeling in Facial Action Units Detection

Facial Action Units Detection (FAUD), one of the main approaches for fac...

Xianpeng Ji, et al. ∙

research

∙ 02/04/2020

Multi-label Relation Modeling in Facial Action Units Detection

This paper describes an approach to the facial action units detections. ...

Xianpeng Ji, et al. ∙

research

∙ 02/19/2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework

Transfer Learning has shown great potential to enhance the single-agent ...

Tianpei Yang, et al. ∙

research

∙ 02/19/2020

Efficient Deep Reinforcement Learning through Policy Transfer

Transfer Learning (TL) has shown great potential to accelerate Reinforce...

Tianpei Yang, et al. ∙

research

∙ 03/12/2020

Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks

3D Morphable Model (3DMM) based methods have achieved great success in r...

Jiangke Lin, et al. ∙

research

∙ 06/12/2020

Learning Decomposed Representation for Counterfactual Inference

One fundamental problem in the learning treatment effect from observatio...

Anpeng Wu, et al. ∙

research

∙ 06/15/2020

Learn to Effectively Explore in Context-Based Meta-RL

Meta reinforcement learning (meta-RL) provides a principled approach for...

Jin Zhang, et al. ∙

research

∙ 07/27/2020

Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry

Deep implicit field regression methods are effective for 3D reconstructi...

Yifan Xu, et al. ∙

research

∙ 08/27/2020

GraphFederator: Federated Visual Analysis for Multi-party Graphs

This paper presents GraphFederator, a novel approach to construct joint ...

Dongming Han, et al. ∙

research

∙ 10/27/2020

A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge

This paper presents the participation of NTES_ALONG team for the ClariQ ...

Wenjie Ou, et al. ∙

research

∙ 04/07/2021

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

In recent years, there are great interests as well as challenges in appl...

Kai Wang, et al. ∙

research

∙ 06/19/2021

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

Graphically-rich applications such as games are ubiquitous with attracti...

Ke Chen, et al. ∙

research

∙ 09/16/2021

Transferable Persona-Grounded Dialogues via Grounded Minimal Edits

Grounded dialogue models generate responses that are grounded on certain...

Chen Wu, et al. ∙

research

∙ 09/30/2021

A Technical Report for ICCV 2021 VIPriors Re-identification Challenge

Person re-identification has always been a hot and challenging task. Thi...

Cen Liu, et al. ∙

research

∙ 10/14/2021

Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech

In this paper, we present a FastPitch-based non-autoregressive cross-lin...

Haoyue Zhan, et al. ∙

research

∙ 10/14/2021

Revisiting IPA-based Cross-lingual Text-to-speech

International Phonetic Alphabet (IPA) has been widely used in cross-ling...

Haitong Zhang, et al. ∙

research

∙ 10/14/2021

Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data

Recently, sequence-to-sequence (seq-to-seq) models have been successfull...

Haitong Zhang, et al. ∙

research

∙ 10/18/2021

RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System

Reinforcement learning based recommender systems (RL-based RS) aims at l...

Kai Wang, et al. ∙

research

∙ 12/06/2021

One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning

Audio-driven one-shot talking face generation methods are usually traine...

Suzhen Wang, et al. ∙

research

∙ 12/16/2021

Taming Repetition in Dialogue Generation

The wave of pre-training language models has been continuously improving...

Yadong Xi, et al. ∙

research

∙ 01/19/2022

Opencpop: A High-Quality Open Source Chinese Popular Song Corpus for Singing Voice Synthesis

This paper introduces Opencpop, a publicly available high-quality Mandar...

Yu Wang, et al. ∙

research

∙ 01/30/2022

VC-GPT: Visual Conditioned GPT for End-to-End Generative Vision-and-Language Pre-training

Vision-and-language pre-trained models (VLMs) have achieved tremendous s...

Ziyang Luo, et al. ∙

research

∙ 02/09/2022

Motion-Aware Transformer For Occluded Person Re-identification

Recently, occluded person re-identification(Re-ID) remains a challenging...

Mi Zhou, et al. ∙

research

∙ 02/14/2022

I-Tuning: Tuning Language Models with Image for Caption Generation

Recently, tuning the pre-trained language model (PLM) in a parameter-eff...

Ziyang Luo, et al. ∙

research

∙ 02/17/2022

MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned

Reinforcement learning competitions advance the field by providing appro...

Anssi Kanervisto, et al. ∙

research

∙ 03/01/2022

Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection

Density-based and classification-based methods have ruled unsupervised a...

Yufei Liang, et al. ∙

research

∙ 03/02/2022

An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models

The Cross-Market Recommendation task of WSDM CUP 2022 is about finding s...

Qi Zhang, et al. ∙

research

∙ 03/18/2022

DGC-vector: A new speaker embedding for zero-shot voice conversion

Recently, more and more zero-shot voice conversion algorithms have been ...

Ruitong Xiao, et al. ∙

research

∙ 03/18/2022

Improve few-shot voice cloning using multi-modal learning

Recently, few-shot voice cloning has achieved a significant improvement....

Haitong Zhang, et al. ∙

research

∙ 03/30/2022

Learn2Sing 2.0: Diffusion and Mutual Information-Based Target Speaker SVS by Learning from Singing Teacher

Building a high-quality singing corpus for a person who is not good at s...

Heyang Xue, et al. ∙

NetEase, Inc.

Featured Researchers