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Jun Quan

About Jun Quan

Jun Quan, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Soochow University, specializes in the field of natural language processiing, dialogue system, search and recommendation, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

FORCE: A Framework of Rule-Based Conversational Recommender System

Integrating pre-trained model into rule-based dialogue management

RiSAWOZ: A large-scale multi-domain Wizard-of-Oz dataset with rich semantic annotations for task-oriented dialogue modeling

Modeling long context for task-oriented dialogue state generation

Jun Quan Information

University

Position

___

Citations(all)

124

Citations(since 2020)

124

Cited By

13

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Google Scholar

Jun Quan Skills & Research Interests

natural language processiing

dialogue system

search and recommendation

AI

Top articles of Jun Quan

Title

Journal

Author(s)

Publication Date

FORCE: A Framework of Rule-Based Conversational Recommender System

Proceedings of the AAAI Conference on Artificial Intelligence

Jun Quan

Ze Wei

Qiang Gan

Jingqi Yao

Jingyi Lu

...

2022/6/28

Integrating pre-trained model into rule-based dialogue management

Proceedings of the AAAI Conference on Artificial Intelligence

Jun Quan

Meng Yang

Qiang Gan

Deyi Xiong

Yiming Liu

...

2021/5/18

RiSAWOZ: A large-scale multi-domain Wizard-of-Oz dataset with rich semantic annotations for task-oriented dialogue modeling

arXiv preprint arXiv:2010.08738

Jun Quan

Shian Zhang

Qian Cao

Zizhong Li

Deyi Xiong

2020/10/17

Modeling long context for task-oriented dialogue state generation

arXiv preprint arXiv:2004.14080

Jun Quan

Deyi Xiong

2020/4/29

See List of Professors in Jun Quan University(Soochow University)