21 citations · 93 across the 20 of their papers we have counts for
20 papers
Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: the Past, Present, and Future
Yan Song, He Jiang, Haifeng Zhang +3
Even though Google Research Football (GRF) was initially benchmarked and studied as a single-agent environment in its original paper, recent years have witnessed an increasing focu…
TaxAI: A Dynamic Economic Simulator and Benchmark for Multi-Agent Reinforcement Learning
Qirui Mi, Siyu Xia, Yan Song +3
Taxation and government spending are crucial tools for governments to promote economic growth and maintain social equity. However, the difficulty in accurately predicting the dynam…
Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection
Xiao-Min Zeng, Yan Song, Zhu Zhuo +5
In this paper, we propose a joint generative and contrastive representation learning method (GeCo) for anomalous sound detection (ASD). GeCo exploits a Predictive AutoEncoder (PAE)…
An Empirical Study on Google Research Football Multi-agent Scenarios
Yan Song, He Jiang, Zheng Tian +6
Few multi-agent reinforcement learning (MARL) research on Google Research Football (GRF) focus on the 11v11 multi-agent full-game scenario and to the best of our knowledge, no open…
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer
Kang Li, Yan Song, Li-Rong Dai +3
In this paper, we propose an effective sound event detection (SED) method based on the audio spectrogram transformer (AST) model, pretrained on the large-scale AudioSet for audio t…
Weak cosmic censorship with gauge field and bound on charge-to-mass ratio
Yan Song, Si-Yuan Cui, Yong-Qiang Wang
We numerically construct the stationary solutions of Einstein-Yang-Mills theory in four dimensional anti-de Sitter spacetime. When the component of gauge field…
Large-Scale Low-Rank Gaussian Process Prediction with Support Points
Yan Song, Wenlin Dai, Marc G. Genton
Low-rank approximation is a popular strategy to tackle the "big n problem" associated with large-scale Gaussian process regressions. Basis functions for developing low-rank structu…
XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition
Zi-Qiang Zhang, Yan Song, Ming-Hui Wu +2
In this paper, we propose a weakly supervised multilingual representation learning framework, called cross-lingual self-training (XLST). XLST is able to utilize a small amount of a…
Multiplex Word Embeddings for Selectional Preference Acquisition
Hongming Zhang, Jiaxin Bai, Yan Song +5
Conventional word embeddings represent words with fixed vectors, which are usually trained based on co-occurrence patterns among words. In doing so, however, the power of such repr…
What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues
Xintong Yu, Hongming Zhang, Yangqiu Song +2
Grounding a pronoun to a visual object it refers to requires complex reasoning from various information sources, especially in conversational scenarios. For example, when people in…
Knowledge-aware Pronoun Coreference Resolution
Hongming Zhang, Yan Song, Yangqiu Song +1
Resolving pronoun coreference requires knowledge support, especially for particular domains (e.g., medicine). In this paper, we explore how to leverage different types of knowledge…
Rotating multistate boson stars
Hong-Bo Li, Shuo Sun, Tong-Tong Hu +2
In this paper, we construct rotating boson stars composed of the coexisting states of two scalar fields, including the ground and first excited states. We show the coexisting phase…
Weak cosmic censorship in Born-Infeld electrodynamics and bound on charge-to-mass ratio
Tong-Tong Hu, Yan Song, Shuo Sun +2
We construct a class of counterexamples to cosmic censorship in four dimensional Einstein-Born-Infeld theory with asymptotically anti-de Sitter boundary conditions, and investigate…
A Joint Model of Conversational Discourse and Latent Topics on Microblogs
Jing Li, Yan Song, Zhongyu Wei +1
Conventional topic models are ineffective for topic extraction from microblog messages, because the data sparseness exhibited in short messages lacking structure and contexts resul…
Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song +3
Many classification models work poorly on short texts due to data sparsity. To address this issue, we propose topic memory networks for short text classification with a novel topic…
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao +3
In this paper, we introduce Iterative Text Summarization (ITS), an iteration-based model for supervised extractive text summarization, inspired by the observation that it is often…
A Capsule based Approach for Polyphonic Sound Event Detection
Yaming Liu, Jian Tang, Yan Song +1
Polyphonic sound event detection (polyphonic SED) is an interesting but challenging task due to the concurrence of multiple sound events. Recently, SED methods based on convolution…
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems
Jing Li, Yan Song, Haisong Zhang +1
This paper presents a large-scale corpus for non-task-oriented dialogue response selection, which contains over 27K distinct prompts more than 82K responses collected from social m…
hyperdoc2vec: Distributed Representations of Hypertext Documents
Jialong Han, Yan Song, Wayne Xin Zhao +2
Hypertext documents, such as web pages and academic papers, are of great importance in delivering information in our daily life. Although being effective on plain documents, conven…
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition
Xiangbo Shu
Recently, Long Short-Term Memory (LSTM) has become a popular choice to model individual dynamics for single-person action recognition due to its ability of modeling the temporal in…