Grace Hui Yang

Grace Hui Yang

Georgetown University

H-index: 24

North America-United States

About Grace Hui Yang

Grace Hui Yang, With an exceptional h-index of 24 and a recent h-index of 14 (since 2020), a distinguished researcher at Georgetown University, specializes in the field of Artificial Intelligence, Information Retrieval, Machine Learning, Privacy.

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

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

Proactive Conversational Agents in the Post-ChatGPT World

Proactive conversational agents

Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents

Searcher Struggle Detection via the Reversal Theory

A Re-classification of Information Seeking Tasks and Their Computational Solutions

SEINE: SEgment-based Indexing for NEural information retrieval

GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval

Grace Hui Yang Information

University

Position

Associate Professor of Computer Science

Citations(all)

2154

Citations(since 2020)

748

Cited By

1737

hIndex(all)

24

hIndex(since 2020)

14

i10Index(all)

49

i10Index(since 2020)

23

Email

University Profile Page

Georgetown University

Google Scholar

View Google Scholar Profile

Grace Hui Yang Skills & Research Interests

Artificial Intelligence

Information Retrieval

Machine Learning

Privacy

Top articles of Grace Hui Yang

Title

Journal

Author(s)

Publication Date

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

Xin Xin

Xiangyu Zhao

Jin Huang

Weinan Zhang

Li Zhao

...

2023/10/21

Proactive Conversational Agents in the Post-ChatGPT World

Lizi Liao

Grace Hui Yang

Chirag Shah

2023/7/19

Proactive conversational agents

Lizi Liao

Grace Hui Yang

Chirag Shah

2023/2/27

Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents

arXiv preprint arXiv:2311.09513

Quinn Patwardhan

Grace Hui Yang

2023/11/16

Searcher Struggle Detection via the Reversal Theory

Jiyun Luo

Yan Yang

Valerie Nayak

Grace Hui Yang

2022/7/5

A Re-classification of Information Seeking Tasks and Their Computational Solutions

ACM Transactions on Information Systems (TOIS)

Zhiwen Tang

Grace Hui Yang

2022/3/10

SEINE: SEgment-based Indexing for NEural information retrieval

Workshop on Reaching Efficiency in Neural Information Retrieval, the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Sibo Dong

Justin Goldstein

Grace Hui Yang

2022

GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval

Sibo Dong

Justin Goldstein

Grace Hui Yang

2022/8/23

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval

Xiangyu Zhao

Xin Xin

Weinan Zhang

Li Zhao

Dawei Yin

...

2022/7/6

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval

Weinan Zhang

Xiangyu Zhao

Li Zhao

Dawei Yin

Grace Hui Yang

2021/7/11

High-Quality Diversification for Task-Oriented Dialogue Systems

arXiv preprint arXiv:2106.00891

Zhiwen Tang

Hrishikesh Kulkarni

Grace Hui Yang

2021/6/2

Information retrieval and its sister disciplines

ACM SIGIR Forum

Grace Hui Yang

2021/3/23

Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach

arXiv preprint arXiv:2112.04711

Jiyun Luo

Yan Yang

Valerie Nayak

Grace Hui Yang

2021/12/9

High-Quality Dialogue Diversification by Intermittent Short Extension Ensembles

Zhiwen Tang

Hrishikesh Kulkarni

Grace Hui Yang

2021/8

More Diverse Dialogue Datasets via Diversity-Informed Data Collection

Katherine Stasaski

Grace Hui Yang

Marti A Hearst

2020/7

Corpus-Level End-to-End Exploration for Interactive Systems

Proceedings of the AAAI Conference on Artificial Intelligence

Zhiwen Tang

Grace Hui Yang

2020/4/3

Corpus Compression for Deep Reinforcement Learning in Natural Language Environments

The 41st International ACM SIGIR Conference on Research Development in Information Retrieval-DRL4IR Workshop

Zhiwen Tang

Grace Hui Yang

2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances

Weinan Zhang

Xiangyu Zhao

Li Zhao

Dawei Yin

Grace Hui Yang

...

2020/7/25

Reinforcement Learning Meets Information Seeking: Dynamic Search Challenge

Zhiwen Tang

Grace Hui Yang

2020

Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval

Limin Chen

Zhiwen Tang

Grace Hui Yang

2020/7/25

See List of Professors in Grace Hui Yang University(Georgetown University)

Co-Authors

H-index: 117
Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

H-index: 93
Alex Hauptmann

Alex Hauptmann

Carnegie Mellon University

H-index: 75
Marti A Hearst

Marti A Hearst

University of California, Berkeley

H-index: 71
Jamie Callan

Jamie Callan

Carnegie Mellon University

H-index: 64
Weinan Zhang

Weinan Zhang

Shanghai Jiao Tong University

H-index: 64
Min-Yen Kan (靳民彦)

Min-Yen Kan (靳民彦)

National University of Singapore

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