20 citations · 60 across the 10 of their papers we have counts for
10 papers
A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music
Zeyu Xiong, Weitao Wang, Jing Yu +2
In recent years, AI-generated music has made significant progress, with several models performing well in multimodal and complex musical genres and scenes. While objective metrics…
Information Design in Multi-Agent Reinforcement Learning
Yue Lin, Wenhao Li, Hongyuan Zha +1
Reinforcement learning (RL) is inspired by the way human infants and animals learn from the environment. The setting is somewhat idealized because, in actual tasks, other agents in…
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Shishi Xiao, Suizi Huang, Yue Lin +2
Pictorial visualization seamlessly integrates data and semantic context into visual representation, conveying complex information in a manner that is both engaging and informative.…
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai, Ruimin Shen, Yue Lin +2
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive par…
Developing synthetic individual-level population datasets: The case of contextualizing maps of privacy-preserving census data
Yue Lin, Ningchuan Xiao
The purpose of this paper is to describe the development of a synthetic population dataset that is open and realistic and can be used to facilitate understanding the cartographic p…
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Guan Yang, Minghuan Liu, Weijun Hong +4
As a challenging multi-player card game, DouDizhu has recently drawn much attention for analyzing competition and collaboration in imperfect-information games. In this paper, we pr…
MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas +19
Reinforcement learning competitions advance the field by providing appropriate scope and support to develop solutions toward a specific problem. To promote the development of more…
A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
Wenjie Ou, Yue Lin
This paper presents the participation of NetEase Game AI Lab team for the ClariQ challenge at Search-oriented Conversational AI (SCAI) EMNLP workshop in 2020. The challenge asks fo…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
Unsupervised Learning For Sequence-to-sequence Text-to-speech For Low-resource Languages
Haitong Zhang, Yue Lin
Recently, sequence-to-sequence models with attention have been successfully applied in Text-to-speech (TTS). These models can generate near-human speech with a large accurately-tra…