Keqing He

444 total citations
29 papers, 265 citations indexed

About

Keqing He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Keqing He has authored 29 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Keqing He's work include Topic Modeling (24 papers), Natural Language Processing Techniques (19 papers) and Speech and dialogue systems (9 papers). Keqing He is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (19 papers) and Speech and dialogue systems (9 papers). Keqing He collaborates with scholars based in China, United States and United Kingdom. Keqing He's co-authors include Yuanmeng Yan, Weiran Xu, Hong Xu, Zijun Liu, Sihong Liu, Liwen Wang, Jinchao Zhang, Jie Zhou, Cheng Niu and Weiran Xu and has published in prestigious journals such as IEEE Access, Neurocomputing and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Keqing He

27 papers receiving 259 citations

Peers

Countries citing papers authored by Keqing He

Since Specialization

Citations

This map shows the geographic impact of Keqing He'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 Keqing He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keqing He more than expected).

Fields of papers citing papers by Keqing He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keqing He. 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 Keqing He. The network helps show where Keqing He may publish in the future.

Co-authorship network of co-authors of Keqing He

This figure shows the co-authorship network connecting the top 25 collaborators of Keqing He. A scholar is included among the top collaborators of Keqing He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keqing He. Keqing He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Assessing and Post-Processing Black Box Large Language Models for Knowledge Editing 2025 ·(unknown), (unknown), Keqing He, (unknown), (unknown), (unknown), Weiran Xu	0
2	DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations 2024 ·Weihao Zeng, (unknown), Keqing He, (unknown), (unknown), Weiran Xu	1
3	FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue 2023 ·Weihao Zeng, Keqing He, (unknown), Chen Zeng, Jingang Wang, (unknown), Weiran Xu	1
4	Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting 2023 ·Xuefeng Li, Liwen Wang, (unknown), Keqing He, Jinzheng Zhao, Lei Hao, (unknown), Weiran Xu	4
5	A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER 2023 ·(unknown), (unknown), (unknown), Gang Zhao, (unknown), (unknown), (unknown), (unknown), Keqing He, (unknown), (unknown), (unknown), Weiran Xu	11
6	Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery 2023 ·(unknown), (unknown), Keqing He, Chen Zeng, Pei Wang, Jingang Wang, (unknown), Weiran Xu	1
7	DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task 2023 ·(unknown), (unknown), (unknown), (unknown), (unknown), Gang Zhao, Keqing He, Weiran Xu	0
8	A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition 2023 ·(unknown), Zechen Wang, Liwen Wang, (unknown), (unknown), Yuxiang Wu, Chen Zeng, (unknown), (unknown), Keqing He, (unknown), (unknown), Weiran Xu	10
9	Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·(unknown), (unknown), Weihao Zeng, Keqing He, Weiran Xu, (unknown), Wei Wu, (unknown)	9
10	Adversarial Self-Supervised Learning for Out-of-Domain Detection 2021 ·(unknown), Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu	18
11	Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack 2021 ·Liwen Wang, Yuanmeng Yan, Keqing He, (unknown), Weiran Xu	8
12	Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System 2021 ·(unknown), (unknown), Keqing He, Hong Xu, Yuanmeng Yan, (unknown), Weiran Xu	5
13	Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning 2021 ·(unknown), Keqing He, Yuanmeng Yan, Zijun Liu, (unknown), Hong Xu, (unknown), Weiran Xu	36
14	From context-aware to knowledge-aware: Boosting OOV tokens recognition in slot tagging with background knowledge 2021 ·Neurocomputing ·Keqing He, Yuanmeng Yan, Weiran Xu	4
15	Self-training with Masked Supervised Contrastive Loss for Unknown Intents Detection 2021 ·Zijun Liu, Yuanmeng Yan, Keqing He, Sihong Liu, Hong Xu, Weiran Xu	2
16	Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding 2020 ·IEEE Access ·Keqing He, Weiran Xu, Yuanmeng Yan	13
17	Syntactic Graph Convolutional Network for Spoken Language Understanding 2020 ·Keqing He, (unknown), (unknown), (unknown), Zhongyuan Wang	7
18	Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots 2020 ·Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu	7
19	Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack 2020 ·Keqing He, Jinchao Zhang, Yuanmeng Yan, Weiran Xu, Cheng Niu, Jie Zhou	28
20	Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages 2020 ·Keqing He, Yuanmeng Yan, Weiran Xu	4

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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