Libo Qin

2.2k citations

59 papers · 1.0k · 1 hit paper · h-index 16

Impact in

Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
Computer Vision and Pattern Recognition top 5%
- Multimodal Machine Learning Applications

Papers in

Artificial Intelligence 50
- Topic Modeling 38
- Natural Language Processing Techniques 27
- Speech and dialogue systems 19
- Text Readability and Simplification 4
- Sentiment Analysis and Opinion Mining 3
- Domain Adaptation and Few-Shot Learning 3
- Advanced Text Analysis Techniques 3
Computer Vision and Pattern Recognition 19
- Multimodal Machine Learning Applications 15

Co-authors: Wanxiang Che (35 shared papers)Yangming Li (7 shared papers)Ting Liu (2 shared papers)Haoyang Wen (3 shared papers)Minheng Ni (5 shared papers)Ting Liu (4 shared papers)Xu Xiao (7 shared papers)Ting Liu (5 shared papers)
Journals: IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Patterns (1 paper)Nature Communications (1 paper)Frontiers of Computer Science (1 paper)Big Data Mining and Analytics (1 paper)
Partner nations: China Singapore United States

In The Last Decade

Libo Qin

50 papers receiving 975 citations

Libo Qin's Hit Papers

align trajectories log scale

A survey of multilingual large language models 2025 · 17 citations

Peers

Countries citing papers authored by Libo Qin

Since Specialization

Citations

This map shows the geographic impact of Libo Qin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Libo Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Qin more than expected).

Fields of papers citing papers by Libo Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Libo Qin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Libo Qin. The network helps show where Libo Qin may publish in the future.

Co-authors

The 25 scholars most cited alongside Libo Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Libo Qin Line = papers co-authored together Libo Qin links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu	2019	186
2	A Co-Interactive Transformer for Joint Slot Filling and Intent Detection Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu	2021	94
3	CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che	2020	78
4	AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling Libo Qin, Xu Xiao, Wanxiang Che, Ting Liu	2020	75
5	GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling Libo Qin, Fuxuan Wei, Tianbao Xie, Xu Xiao, Wanxiang Che, Ting Liu	2021	65
6	DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu	2020	63
7	A Survey on Spoken Language Understanding: Recent Advances and New Frontiers Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu	2021	54
8	Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu	2021	49
9	Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu	2019	40
10	Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu	2021	38
11	GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding National University of Singapore ·Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian–Guang Lou, Wanxiang Che, Min‐Yen Kan	2022	28
12	N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. arXiv (Cornell University) ·Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu	2020	23
13	Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation arXiv (Cornell University) ·Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu	2018	18
14	Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding IEEE/ACM Transactions on Audio Speech and Language Processing ·Libo Qin, Wanxiang Che, Minheng Ni, Yangming Li, Ting Liu	2021	17
15	A survey of multilingual large language models Patterns ·Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu Hit paper breakdown →	2025	17
16	DTIAM: a unified framework for predicting drug-target interactions, binding affinities and drug mechanisms Nature Communications ·Zhangli Lu, Guoqiang Song, Huimin Zhu, Chuqi Lei, Xinliang Sun, Kaili Wang, Libo Qin, Yafei Chen, Jing Tang, Min Li	2025	15
17	Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding Dechuan Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu	2021	14
18	MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System Libo Qin, Shijue Huang, Qiguang Chen, Chenran Cai, Yudi Zhang, Bin Liang, Wanxiang Che, Ruifeng Xu	2023	13
19	GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang	2023	13
20	Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu	2020	13

About Libo Qin

Libo Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Organic Chemistry, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (38 papers), Natural Language Processing Techniques (27 papers), Speech and dialogue systems (19 papers), Multimodal Machine Learning Applications (15 papers), Text Readability and Simplification (4 papers), Sentiment Analysis and Opinion Mining (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (904 citations), Computer Vision and Pattern Recognition (199 citations), Health Informatics (8 citations), Information Systems (53 citations) and Management Science and Operations Research (20 citations). Libo Qin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wanxiang Che, Yangming Li, Ting Liu, Haoyang Wen, Minheng Ni, Ting Liu, Xu Xiao, Ting Liu, Yue Zhang and Sendong Zhao. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Patterns, Nature Communications, Frontiers of Computer Science and Big Data Mining and Analytics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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