b'Yan Song'

research

∙ 05/20/2023

Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection

In this paper, we propose a joint generative and contrastive representat...

0 Xiao-Min Zeng, et al. ∙

research

∙ 05/16/2023

An Empirical Study on Google Research Football Multi-agent Scenarios

Few multi-agent reinforcement learning (MARL) research on Google Researc...

0 Yan Song, et al. ∙

research

∙ 05/13/2023

Fast robust location and scatter estimation: a depth-based method

The minimum covariance determinant (MCD) estimator is ubiquitous in mult...

0 Maoyu Zhang, et al. ∙

research

∙ 03/23/2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition

To facilitate research in the direction of fine-tuning foundation models...

0 Stephanie Milani, et al. ∙

research

∙ 03/07/2023

AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer

In this paper, we propose an effective sound event detection (SED) metho...

0 Kang Li, et al. ∙

research

∙ 01/27/2023

Neural Episodic Control with State Abstraction

Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...

2 Zhuo Li, et al. ∙

research

∙ 12/13/2022

Dilation-Erosion for Single-Frame Supervised Temporal Action Localization

To balance the annotation labor and the granularity of supervision, sing...

0 Bin Wang, et al. ∙

research

∙ 07/26/2022

Large-Scale Low-Rank Gaussian Process Prediction with Support Points

Low-rank approximation is a popular strategy to tackle the "big n proble...

0 Yan Song, et al. ∙

research

∙ 07/02/2022

Turning to a Teacher for Timestamp Supervised Temporal Action Segmentation

Temporal action segmentation in videos has drawn much attention recently...

0 fcq, et al. ∙

research

∙ 04/28/2022

Cross-modal Memory Networks for Radiology Report Generation

Medical imaging plays a significant role in clinical practice of medical...

0 Zhihong Chen, et al. ∙

research

∙ 12/18/2021

Word Graph Guided Summarization for Radiology Findings

Radiology reports play a critical role in communicating medical findings...

0 Jinpeng Hu, et al. ∙

research

∙ 08/17/2021

Learning to Cluster via Same-Cluster Queries

We study the problem of learning to cluster data points using an oracle ...

0 Yi Li, et al. ∙

research

∙ 07/08/2021

A Note on General Statistics of Publicly Accessible Knowledge Bases

Knowledge bases are prevalent in various domains and have been widely us...

0 Feixiang Wang, et al. ∙

research

∙ 06/24/2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View

Since the first coronavirus case was identified in the U.S. on Jan. 21, ...

19 Shuang Li, et al. ∙

research

∙ 06/02/2021

RevCore: Review-augmented Conversational Recommendation

Existing conversational recommendation (CR) systems usually suffer from ...

0 Yu Lu, et al. ∙

research

∙ 03/15/2021

XLST: Cross-lingual Self-training to Learn Multilingual Representation for Low Resource Speech Recognition

In this paper, we propose a weakly supervised multilingual representatio...

0 Zi-Qiang Zhang, et al. ∙

research

∙ 10/30/2020

Generating Radiology Reports via Memory-driven Transformer

Medical imaging is frequently used in clinical practice and trials for d...

0 Zhihong Chen, et al. ∙

research

∙ 10/29/2020

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information

Named entity recognition (NER) is highly sensitive to sentential syntact...

0 Yuyang Nie, et al. ∙

research

∙ 10/29/2020

Named Entity Recognition for Social Media Texts with Semantic Augmentation

Existing approaches for named entity recognition suffer from data sparsi...

0 Yuyang Nie, et al. ∙

research

∙ 10/13/2020

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

Supertagging is conventionally regarded as an important task for combina...

0 Yuanhe Tian, et al. ∙

research

∙ 04/30/2020

Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation

Aspect term extraction aims to extract aspect terms from review texts as...

0 Kun Li, et al. ∙

research

∙ 03/10/2020

Exploring Unknown States with Action Balance

Exploration is a key problem in reinforcement learning. Recently bonus-b...

0 Yan Song, et al. ∙

research

∙ 01/23/2020

Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

Existing entity alignment methods mainly vary on the choices of encoding...

0 Kun Xu, et al. ∙

research

∙ 01/09/2020

Multiplex Word Embeddings for Selectional Preference Acquisition

Conventional word embeddings represent words with fixed vectors, which a...

0 Hongming Zhang, et al. ∙

research

∙ 09/16/2019

MVDLite: A Light-weight Model View Definition Representation with Fast Validation for Building Information Model

Model View Definition (MVD) is the standard methodology to define the ex...

0 Han Liu, et al. ∙

research

∙ 09/16/2019

MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications

Model View Definition (MVD) is the standard methodology to define the pa...

0 Han Liu, et al. ∙

research

∙ 09/01/2019

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

Grounding a pronoun to a visual object it refers to requires complex rea...

0 Xintong Yu, et al. ∙

research

∙ 07/08/2019

Knowledge-aware Pronoun Coreference Resolution

Resolving pronoun coreference requires knowledge support, especially for...

0 Hongming Zhang, et al. ∙

research

∙ 06/07/2019

Learning Word Embeddings with Domain Awareness

Word embeddings are traditionally trained on a large corpus in an unsupe...

0 Guoyin Wang, et al. ∙

research

∙ 05/28/2019

Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network

Previous cross-lingual knowledge graph (KG) alignment studies rely on en...

0 Kun Xu, et al. ∙

research

∙ 05/24/2019

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Linking pronominal expressions to the correct references requires, in ma...

0 Hongming Zhang, et al. ∙

research

∙ 09/27/2018

Iterative Document Representation Learning Towards Summarization with Polishing

In this paper, we introduce Iterative Text Summarization (ITS), an itera...

0 Xiuying Chen, et al. ∙

research

∙ 09/11/2018

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

Conventional topic models are ineffective for topic extraction from micr...

0 Jing Li, et al. ∙

research

∙ 09/11/2018

Topic Memory Networks for Short Text Classification

Many classification models work poorly on short texts due to data sparsi...

0 Jichuan Zeng, et al. ∙

research

∙ 07/19/2018

A Capsule based Approach for Polyphonic Sound Event Detection

Polyphonic sound event detection (polyphonic SED) is an interesting but ...

0 Yaming Liu, et al. ∙

research

∙ 05/15/2018

A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems

This paper presents a large-scale corpus for non-task-oriented dialogue ...

0 Jing Li, et al. ∙

research

∙ 05/10/2018

hyperdoc2vec: Distributed Representations of Hypertext Documents

Hypertext documents, such as web pages and academic papers, are of great...

0 Jialong Han, et al. ∙

research

∙ 06/03/2017

Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Recently, Long Short-Term Memory (LSTM) has become a popular choice to m...

0 Xiangbo Shu, et al. ∙

Yan Song

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