NetEase, Inc.

∙ Beijing , China ∙ 0 followers

NetEase, Inc. is a Chinese Internet technology company providing online services centered on content, community, communications and commerce.

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

Endowing dialogue systems with personas is essential to deliver more hum...
11/12/2019 ∙ by Yinhe Zheng, et al. ∙ 15 ∙ share

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

A lot of efforts have been devoted to investigating how agents can learn...
09/06/2019 ∙ by Weixun Wang, et al. ∙ 14 ∙ share

read it
Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization

The automatic intensity estimation of facial action units (AUs) from a s...
04/13/2020 ∙ by Xinhui Song, et al. ∙ 12 ∙ share

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

Character customization system is an important component in Role-Playing...
09/03/2019 ∙ by Tianyang Shi, et al. ∙ 10 ∙ share

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

This paper introduces the real image Super-Resolution (SR) challenge tha...
09/25/2020 ∙ by Pengxu Wei, et al. ∙ 7 ∙ share

read it
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...
05/17/2021 ∙ by Andrey Ignatov, et al. ∙ 7 ∙ share

read it
Hierarchical Deep Multiagent Reinforcement Learning

Despite deep reinforcement learning has recently achieved great successe...
09/25/2018 ∙ by Hongyao Tang, et al. ∙ 0 ∙ share

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

Deep Reinforcement Learning (DRL) has been applied to address a variety ...
03/12/2019 ∙ by Haotian Fu, et al. ∙ 0 ∙ share

read it
FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment

Recent face reenactment studies have achieved remarkable success either ...
05/28/2019 ∙ by Jiangning Zhang, et al. ∙ 0 ∙ share

read it
Reinforcement Learning Experience Reuse with Policy Residual Representation

Experience reuse is key to sample-efficient reinforcement learning. One ...
05/31/2019 ∙ by Wen-Ji Zhou, et al. ∙ 0 ∙ share

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

In multiagent systems (MASs), each agent makes individual decisions but ...
07/26/2019 ∙ by Weixun Wang, et al. ∙ 0 ∙ share

read it
Learning Action-Transferable Policy with Action Embedding

Despite achieving great success on performance in various sequential dec...
09/05/2019 ∙ by Yu Chen, et al. ∙ 0 ∙ share

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

In a pipeline speech translation system, automatic speech recognition (A...
09/25/2019 ∙ by Qiao Cheng, et al. ∙ 0 ∙ share

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

Facial Action Units Detection (FAUD), one of the main approaches for fac...
02/04/2020 ∙ by Xianpeng Ji, et al. ∙ 0 ∙ share

read it
Multi-label Relation Modeling in Facial Action Units Detection

This paper describes an approach to the facial action units detections. ...
02/04/2020 ∙ by Xianpeng Ji, et al. ∙ 0 ∙ share

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

Transfer Learning has shown great potential to enhance the single-agent ...
02/19/2020 ∙ by Tianpei Yang, et al. ∙ 0 ∙ share

read it
Efficient Deep Reinforcement Learning through Policy Transfer

Transfer Learning (TL) has shown great potential to accelerate Reinforce...
02/19/2020 ∙ by Tianpei Yang, et al. ∙ 0 ∙ share

read it
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...
03/12/2020 ∙ by Jiangke Lin, et al. ∙ 0 ∙ share

read it
Learning Decomposed Representation for Counterfactual Inference

One fundamental problem in the learning treatment effect from observatio...
06/12/2020 ∙ by Anpeng Wu, et al. ∙ 0 ∙ share

read it
Learn to Effectively Explore in Context-Based Meta-RL

Meta reinforcement learning (meta-RL) provides a principled approach for...
06/15/2020 ∙ by Jin Zhang, et al. ∙ 0 ∙ share

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

Deep implicit field regression methods are effective for 3D reconstructi...
07/27/2020 ∙ by Yifan Xu, et al. ∙ 0 ∙ share

read it
GraphFederator: Federated Visual Analysis for Multi-party Graphs

This paper presents GraphFederator, a novel approach to construct joint ...
08/27/2020 ∙ by Dongming Han, et al. ∙ 0 ∙ share

read it
A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge

This paper presents the participation of NTES_ALONG team for the ClariQ ...
10/27/2020 ∙ by Wenjie Ou, et al. ∙ 0 ∙ share

read it
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

In recent years, there are great interests as well as challenges in appl...
04/07/2021 ∙ by Kai Wang, et al. ∙ 0 ∙ share

read it

NetEase, Inc.

Featured Researchers

Yu Chen

Kai Wang

Liang Chen

Sheng Chen

Changjie Fan

Yifan Xu

Yu Ding

Tianjia Shao

Yingfeng Chen

Jianwei Yin

Jin Huang

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

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

Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization

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

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

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

Hierarchical Deep Multiagent Reinforcement Learning

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

FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment

Reinforcement Learning Experience Reuse with Policy Residual Representation

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

Learning Action-Transferable Policy with Action Embedding

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

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

Multi-label Relation Modeling in Facial Action Units Detection

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

Efficient Deep Reinforcement Learning through Policy Transfer

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

Learning Decomposed Representation for Counterfactual Inference

Learn to Effectively Explore in Context-Based Meta-RL

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

GraphFederator: Federated Visual Analysis for Multi-party Graphs

A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation