b'Kun Qian'

research

∙ 08/16/2023

Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System

End-to-end task-oriented dialogue (TOD) systems have achieved promising ...

0 Jianguo Zhang, et al. ∙

research

∙ 07/19/2023

DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI

Despite advancements in conversational AI, language models encounter cha...

0 Jianguo Zhang, et al. ∙

research

∙ 04/29/2023

Learning to Seek: Multi-Agent Online Source Seeking Against Non-Stochastic Disturbances

This paper proposes to leverage the emerging learning techniques and dev...

0 Bin Du, et al. ∙

research

∙ 04/11/2023

User Adaptive Language Learning Chatbots with a Curriculum

Along with the development of systems for natural language understanding...

0 Kun Qian, et al. ∙

research

∙ 02/12/2023

Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking

Prompt-based methods with large pre-trained language models (PLMs) have ...

0 Derek Chen, et al. ∙

research

∙ 01/23/2023

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era

Heart sound auscultation has been demonstrated to be beneficial in clini...

0 Zhao Ren, et al. ∙

research

∙ 11/30/2022

Reinforced Language Modeling for End-to-End Task Oriented Dialog

In task-oriented dialogs such as MultiWoZ (Budzianowski et al., 2018), a...

0 Xiao Yu, et al. ∙

research

∙ 10/26/2022

Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning

Speech emotion recognition (SER) has been a popular research topic in hu...

0 Yi Chang, et al. ∙

research

∙ 05/25/2022

Learning a Better Initialization for Soft Prompts via Meta-Learning

Prompt tuning (PT) is an effective approach to adapting pre-trained lang...

0 Yukun Huang, et al. ∙

research

∙ 03/04/2022

Quantum Deep Learning for Mutant COVID-19 Strain Prediction

New COVID-19 epidemic strains like Delta and Omicron with increased tran...

0 Yu-Xin Jin, et al. ∙

research

∙ 03/02/2022

Audio Self-supervised Learning: A Survey

Inspired by the humans' cognitive ability to generalise knowledge and sk...

0 Shuo Liu, et al. ∙

research

∙ 12/15/2021

Database Search Results Disambiguation for Task-Oriented Dialog Systems

As task-oriented dialog systems are becoming increasingly popular in our...

0 Kun Qian, et al. ∙

research

∙ 12/15/2021

AllWOZ: Towards Multilingual Task-Oriented Dialog Systems for All

A commonly observed problem of the state-of-the-art natural language tec...

0 Lei Zuo, et al. ∙

research

∙ 05/29/2021

Annotation Inconsistency and Entity Bias in MultiWOZ

MultiWOZ is one of the most popular multi-domain task-oriented dialog da...

0 Kun Qian, et al. ∙

research

∙ 04/06/2021

A Student-Teacher Architecture for Dialog Domain Adaptation under the Meta-Learning Setting

Numerous new dialog domains are being created every day while collecting...

0 Kun Qian, et al. ∙

research

∙ 03/19/2021

Multi-Robot Dynamical Source Seeking in Unknown Environments

This paper presents an algorithmic framework for the distributed on-line...

0 Bin Du, et al. ∙

research

∙ 01/13/2021

Deep Attention-based Representation Learning for Heart Sound Classification

Cardiovascular diseases are the leading cause of deaths and severely thr...

0 Zhao Ren, et al. ∙

research

∙ 12/08/2020

Recent Advances in Computer Audition for Diagnosing COVID-19: An Overview

Computer audition (CA) has been demonstrated to be efficient in healthca...

0 Kun Qian, et al. ∙

research

∙ 11/24/2020

Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution

Limited by the cost and technology, the resolution of depth map collecte...

14 Chuhua Xian, et al. ∙

research

∙ 10/30/2020

Learning Structured Representations of Entity Names using Active Learning and Weak Supervision

Structured representations of entity names are useful for many entity-re...

0 Kun Qian, et al. ∙

research

∙ 10/01/2020

A Survey of the State of Explainable AI for Natural Language Processing

Recent years have seen important advances in the quality of state-of-the...

325 Marina Danilevsky, et al. ∙

research

∙ 07/12/2020

MeDaS: An open-source platform as service to help break the walls between medicine and informatics

In the past decade, deep learning (DL) has achieved unprecedented succes...

3 Liang Zhang, et al. ∙

research

∙ 05/11/2020

deepSELF: An Open Source Deep Self End-to-End Learning Framework

We introduce an open-source toolkit, i.e., the deep Self End-to-end Lear...

0 Tomoya Koike, et al. ∙

research

∙ 04/30/2020

An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety

The COVID-19 outbreak was announced as a global pandemic by the World He...

0 Jing Han, et al. ∙

research

∙ 03/24/2020

COVID-19 and Computer Audition: An Overview on What Speech Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis

At the time of writing, the world population is suffering from more than...

0 Björn W. Schuller, et al. ∙

research

∙ 02/27/2020

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

Better machine understanding of pedestrian behaviors enables faster prog...

0 Abduallah Mohamed, et al. ∙

research

∙ 11/25/2019

End-to-End Trainable Non-Collaborative Dialog System

End-to-end task-oriented dialog models have achieved promising performan...

0 Yu Li, et al. ∙

research

∙ 09/03/2019

How to Build User Simulators to Train RL-based Dialog Systems

User simulators are essential for training reinforcement learning (RL) b...

0 Weiyan Shi, et al. ∙

research

∙ 08/23/2019

Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development

Flash floods in urban areas occur with increasing frequency. Detecting t...

0 Kun Qian, et al. ∙

research

∙ 08/14/2019

Adabot: Fault-Tolerant Java Decompiler

Reverse Engineering(RE) has been a fundamental task in software engineer...

0 Zhiming Li, et al. ∙

research

∙ 06/17/2019

Low-resource Deep Entity Resolution with Transfer and Active Learning

Entity resolution (ER) is the task of identifying different representati...

0 Jungo Kasai, et al. ∙

research

∙ 06/08/2019

Domain Adaptive Dialog Generation via Meta Learning

Domain adaptation is an essential task in dialog system building because...

0 Kun Qian, et al. ∙

research

∙ 03/29/2019

Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data

One of the frontier issues that severely hamper the development of autom...

0 Zixing Zhang, et al. ∙

research

∙ 01/29/2019

Knowledge Refinement via Rule Selection

In several different applications, including data transformation and ent...

0 Phokion G. Kolaitis, et al. ∙

research

∙ 12/11/2018

Spectral-spatial features for material based object tracking in hyperspectral video

Traditional color images only depict color intensities in red, green and...

12 Fengchao Xiong, et al. ∙

research

∙ 12/11/2018

Spectral-spatial features for material based object tracking in hyperspectral videos

Traditional color images only depict color intensities in red, green and...

0 Fengchao Xiong, et al. ∙

research

∙ 10/28/2018

Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter

Target tracking in hyperspectral videos is a new research topic. In this...

0 Kun Qian, et al. ∙

Kun Qian

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