Zexue He

474 total citations
20 papers, 194 citations indexed

About

Zexue He is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Zexue He has authored 20 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Zexue He's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Zexue He is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Zexue He collaborates with scholars based in United States, China and Russia. Zexue He's co-authors include Julian McAuley, Yiqun Liu, Tianyu Liu, Shaoping Ma, Qiaolin Xia, Baobao Chang, Zachary C. Lipton, Fuli Luo, Eric P. Xing and Zhifang Sui and has published in prestigious journals such as New Phytologist, iScience and Science China Information Sciences.

In The Last Decade

Zexue He

20 papers receiving 185 citations

Peers

Zexue He

AI

IS

CVPR

MB

PS

Xiyao Ma United States

Maarit Koponen Finland

Mai Oudah United Arab Emirates

Amin Allam Saudi Arabia

Xiyuan Zhang United States

Franziska Boenisch Germany

Christine Sinoquet France

D. Thenmozhi India

Stephen Beale United States

Itay Dalmedigos Israel

Xiyao Ma United States

Zexue He

90 ×0.7

AI

19 ×0.6

IS

27 ×0.8

CVPR

37 ×1.2

MB

8 ×0.4

PS

Citations per year, relative to Zexue He Zexue He (= 1×) peers Xiyao Ma

Countries citing papers authored by Zexue He

Since Specialization

Citations

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

Fields of papers citing papers by Zexue He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zexue He

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

1.

Wang, Yu, Zexue He, Zhankui He, Hao Xu, & Julian McAuley. (2024). Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9133–9141. 1 indexed citations

2.

Liu, Yao, et al.. (2024). Cognitive Bias in Decision-Making with LLMs. 12640–12653. 20 indexed citations

3.

He, Zexue, et al.. (2024). InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. 1350–1361. 1 indexed citations

4.

He, Zexue, et al.. (2023). Synthetic Pre-Training Tasks for Neural Machine Translation. 8080–8098. 3 indexed citations

5.

He, Zexue, Mengqi Li, Yining Shi, et al.. (2023). R‐loops act as regulatory switches modulating transcription of COLD‐responsive genes in rice. New Phytologist. 241(1). 267–282. 3 indexed citations

6.

He, Zexue, Marco Túlio Ribeiro, & Fereshte Khani. (2023). Targeted Data Generation: Finding and Fixing Model Weaknesses. 8506–8520. 4 indexed citations

7.

Majumder, Bodhisattwa Prasad, Zexue He, & Julian McAuley. (2023). InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions. 9466–9471. 1 indexed citations

8.

He, Zexue, Yan An, Amilcare Gentili, Julian McAuley, & Chun‐Nan Hsu. (2023). “Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14232–14240. 1 indexed citations

9.

He, Zexue, Yu Wang, An Yan, et al.. (2023). MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation. 8725–8744. 2 indexed citations

10.

He, Zexue, et al.. (2023). Side-by-side comparison of G-quadruplex (G4) capture efficiency of the antibody BG4 versus the small-molecule ligands TASQs. iScience. 26(6). 106846–106846. 12 indexed citations

11.

Yan, An, Yiwu Zhong, Zexue He, et al.. (2023). Learning Concise and Descriptive Attributes for Visual Recognition. 3067–3077. 11 indexed citations

12.

He, Zexue, Yu Wang, Julian McAuley, & Bodhisattwa Prasad Majumder. (2022). Controlling Bias Exposure for Fair Interpretable Predictions. 5854–5866. 7 indexed citations

13.

Liu, Chaolei, Zexue He, Yan Zhang, et al.. (2022). Synthetic apomixis enables stable transgenerational transmission of heterotic phenotypes in hybrid rice. Plant Communications. 4(2). 100470–100470. 26 indexed citations

14.

Xu, Canwen, Zexue He, Zhankui He, & Julian McAuley. (2022). Leashing the Inner Demons: Self-Detoxification for Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 36(10). 11530–11537. 11 indexed citations

15.

He, Zexue, et al.. (2019). Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain. Science China Information Sciences. 62(10). 1 indexed citations

16.

Wang, Haohan, Zexue He, Zachary C. Lipton, & Eric P. Xing. (2019). Learning Robust Representations by Projecting Superficial Statistics Out. arXiv (Cornell University). 22 indexed citations

17.

Mao, Jiaxin, Yiqun Liu, Noriko Kando, et al.. (2018). A Two-Stage Model for User's Examination Behavior in Mobile Search. 273–276. 1 indexed citations

18.

Liu, Yiqun, et al.. (2018). Understanding Reading Attention Distribution during Relevance Judgement. 733–742. 30 indexed citations

19.

Wang, Xiaochuan, et al.. (2018). A Large-Scale Study of Mobile Search Examination Behavior. 1129–1132. 2 indexed citations

20.

Luo, Fuli, Tianyu Liu, Zexue He, et al.. (2018). Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. 1402–1411. 35 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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