Huan Sun

2.5k total citations
67 papers, 1.3k citations indexed

About

Huan Sun is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huan Sun has authored 67 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 18 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huan Sun's work include Topic Modeling (36 papers), Natural Language Processing Techniques (21 papers) and Expert finding and Q&A systems (7 papers). Huan Sun is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (21 papers) and Expert finding and Q&A systems (7 papers). Huan Sun collaborates with scholars based in United States, China and Hong Kong. Huan Sun's co-authors include Xifeng Yan, Xiang Yue, Yu Su, Wen-tau Yih, Simon Lin, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Ziyu Guan and Ping Zhang and has published in prestigious journals such as Bioinformatics, IEEE Access and Neurocomputing.

In The Last Decade

Huan Sun

64 papers receiving 1.3k citations

Peers

Huan Sun
Zuhair Bandar United Kingdom
Stephen H. Bach United States
Paul Tarau United States
Xiaohua Hu United States
Zuhair Bandar United Kingdom
Huan Sun
Citations per year, relative to Huan Sun Huan Sun (= 1×) peers Zuhair Bandar

Countries citing papers authored by Huan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Huan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Huan Sun. A scholar is included among the top collaborators of Huan Sun 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 Huan Sun. Huan Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
3.
Wang, Boshi, Xiang Yue, & Huan Sun. (2023). Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate. 11865–11881. 12 indexed citations
4.
Du, Minxin, Xiang Yue, Sherman S. M. Chow, & Huan Sun. (2023). Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. 2349–2359. 8 indexed citations
5.
Du, Minxin, Xiang Yue, Sherman S. M. Chow, et al.. (2023). DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass. arXiv (Cornell University). 2665–2679. 17 indexed citations
6.
Yue, Xiang, et al.. (2023). Automatic Evaluation of Attribution by Large Language Models. 4615–4635. 12 indexed citations
7.
Liu, Changchang, et al.. (2023). Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms. 12149–12163. 1 indexed citations
8.
White, Michael, et al.. (2023). Text-to-SQL Error Correction with Language Models of Code. 1359–1372. 7 indexed citations
9.
Deng, Xiang, et al.. (2023). Exploring Chain of Thought Style Prompting for Text-to-SQL. 5376–5393. 12 indexed citations
10.
Sun, Huan, et al.. (2023). Error Detection for Text-to-SQL Semantic Parsing. 11730–11743. 3 indexed citations
11.
Hulsebos, Madelon, Xiang Deng, Huan Sun, & Paolo Papotti. (2023). Models and Practice of Neural Table Representations. UvA-DARE (University of Amsterdam). 83–89. 2 indexed citations
12.
Sun, Huan, et al.. (2021). HSAN-capsule: A novel text classification model. Neurocomputing. 489. 521–533. 9 indexed citations
13.
Deng, Xiang, Huan Sun, Alyssa Lees, You Wu, & Cong Yu. (2020). TURL: Table Understanding through Representation Learning. arXiv (Cornell University). 14. 307–319. 6 indexed citations
14.
Zhao, Jie & Huan Sun. (2020). Adversarial Training for Code Retrieval with Question-Description Relevance Regularization. 4049–4059. 4 indexed citations
15.
Deng, Xiang, Huan Sun, Alyssa Lees, You Wu, & Cong Yu. (2020). TURL. Proceedings of the VLDB Endowment. 14(3). 307–319. 44 indexed citations
16.
Yao, Ziyu, Yu Su, Huan Sun, & Wen-tau Yih. (2019). Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study. 5446–5457. 36 indexed citations
17.
Zhang, Li, et al.. (2019). Automatic Detection and Identification of Controlled Knives Based on Improved SSD Model. 5120–5125. 1 indexed citations
18.
Su, Yu, Huan Sun, Brian M. Sadler, et al.. (2016). On Generating Characteristic-rich Question Sets for QA Evaluation. 562–572. 54 indexed citations
19.
Yang, Shengqi, Yinghui Wu, Huan Sun, & Xifeng Yan. (2014). Schemaless and structureless graph querying. Proceedings of the VLDB Endowment. 7(7). 565–576. 53 indexed citations
20.
Sun, Huan, Xinyu Wang, & Xiaohu You. (2007). Close-formed Bound on Generalized Distributed Antenna System Capacity. Journal of Southeast University. 23(4). 479–483. 1 indexed citations

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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