Yuanmeng Yan

940 total citations · 1 hit paper
23 papers, 556 citations indexed

About

Yuanmeng Yan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yuanmeng Yan has authored 23 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Yuanmeng Yan's work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Yuanmeng Yan is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Yuanmeng Yan collaborates with scholars based in China and United States. Yuanmeng Yan's co-authors include Weiran Xu, Rumei Li, Wei Wu, Fuzheng Zhang, Sirui Wang, Keqing He, Hong Xu, Zijun Liu, Sihong Liu and Jie Zhou 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

Yuanmeng Yan

23 papers receiving 541 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

2021 303 citations Yuanmeng Yan, Rumei Li et al. profile →

Peers

Countries citing papers authored by Yuanmeng Yan

Since Specialization

Citations

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

Fields of papers citing papers by Yuanmeng Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanmeng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanmeng Yan. A scholar is included among the top collaborators of Yuanmeng Yan 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 Yuanmeng Yan. Yuanmeng Yan 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	Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement 2023 ·Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou	1
2	Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning 2022 ·Yanan Wu, (unknown), Keqing He, (unknown), Pei Wang, Yuanmeng Yan, Weiran Xu	1
3	Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold 2022 ·Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ·Yanan Wu, Keqing He, Yuanmeng Yan, (unknown), (unknown), (unknown), Lulu Zhao, (unknown), Wei Wu, Weiran Xu	11
4	ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer breakdown → 2021 ·Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu	303
5	Adversarial Self-Supervised Learning for Out-of-Domain Detection 2021 ·(unknown), Keqing He, Yuanmeng Yan, Hong Xu, Weiran Xu	18
6	Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack 2021 ·Liwen Wang, Yuanmeng Yan, Keqing He, (unknown), Weiran Xu	8
7	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
8	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
9	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
10	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
11	A Finer-grain Universal Dialogue Semantic Structures based Model For Abstractive Dialogue Summarization 2021 ·(unknown), (unknown), Yuanmeng Yan, Keqing He, Weiran Xu	7
12	Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu	19
13	Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Liwen Wang, Xuefeng Li, (unknown), Keqing He, Yuanmeng Yan, Weiran Xu	14
14	Hierarchical Speaker-Aware Sequence-to-Sequence Model for Dialogue Summarization 2021 ·(unknown), Yuanmeng Yan, (unknown), Keqing He, (unknown), (unknown)	9
15	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
16	Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots 2020 ·Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu	7
17	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
18	Adversarial Cross-Lingual Transfer Learning for Slot Tagging of Low-Resource Languages 2020 ·Keqing He, Yuanmeng Yan, Weiran Xu	4
19	Learning Label-Relational Output Structure for Adaptive Sequence Labeling 2020 ·Keqing He, Yuanmeng Yan, Hong Xu, Sihong Liu, Zijun Liu, Weiran Xu	4
20	Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge 2020 ·Keqing He, Yuanmeng Yan, Weiran Xu	15

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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