Luchen Tan

703 total citations
20 papers, 156 citations indexed

About

Luchen Tan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luchen Tan has authored 20 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luchen Tan's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Luchen Tan is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Luchen Tan collaborates with scholars based in Canada, China and United Kingdom. Luchen Tan's co-authors include Charles L. A. Clarke, Jimmy Lin, Kun Xiong, Mark D. Smucker, Haotian Zhang, Wei Yang, Yuqing Xie, Ming Li, Ming Li and Chun‐Wei Lu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the AAAI Conference on Artificial Intelligence and Text REtrieval Conference.

In The Last Decade

Luchen Tan

18 papers receiving 141 citations

Peers

Countries citing papers authored by Luchen Tan

Since Specialization

Citations

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

Fields of papers citing papers by Luchen Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luchen Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Luchen Tan. A scholar is included among the top collaborators of Luchen Tan 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 Luchen Tan. Luchen Tan 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

#	Title	Journal	Authors	Indexed citations
1	Don’t Change Me! User-Controllable Selective Paraphrase Generation		Luchen Tan, Kun Xiong et al.	0
2	Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2		He Bai, Peng Shi et al.	2
3	Segatron: Segment-Aware Transformer for Language Modeling and Understanding	Proceedings of the AAAI Conference on Artificial Intelligence	He Bai, Peng Shi et al.	8
4	Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures		Zhengkai Tu, Wei Yang et al.	7
5	SegaBERT: Pre-training of Segment-aware BERT for Language Understanding		He Bai, Peng Shi et al.	0
6	Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering		Yuqing Xie, Wei Yang et al.	6
7	Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features		Wei Yang, Luchen Tan et al.	21
8	End-to-End Neural Context Reconstruction in Chinese Dialogue		Wei Yang, Rui Qiao et al.	5
9	Overview of the TREC 2018 Real-Time Summarization Track.	Text REtrieval Conference	Luchen Tan, Jimmy Lin et al.	1
10	Update Delivery Mechanisms for Prospective Information Needs		Jimmy Lin, Luchen Tan et al.	7
11	On the Reusability of "Living Labs" Test Collections		Luchen Tan, Jimmy Lin et al.	1
12	Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems		Luchen Tan, Jimmy Lin et al.	10
13	Overview of the TREC 2016 Real-Time Summarization Track.	Text REtrieval Conference	Jimmy Lin, Luchen Tan et al.	12
14	A Platform for Streaming Push Notifications to Mobile Assessors		Luchen Tan, Jimmy Lin et al.	4
15	Simple Dynamic Emission Strategies for Microblog Filtering		Luchen Tan, Charles L. A. Clarke et al.	14
16	An Exploration of Evaluation Metrics for Mobile Push Notifications		Luchen Tan, Jimmy Lin et al.	12
17	University of Waterloo at TREC 2015 Microblog Track	Text REtrieval Conference	Luchen Tan, Charles L. A. Clarke et al.	11
18	Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings		Luchen Tan, Haotian Zhang et al.	16
19	A Family of Rank Similarity Measures Based on Maximized Effectiveness Difference	IEEE Transactions on Knowledge and Data Engineering	Luchen Tan, Charles L. A. Clarke	16
20	Succinct Queries for Linking and Tracking News in Social Media		Luchen Tan, Charles L. A. Clarke	3

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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