Zexuan Zhong

1.5k total citations · 1 hit paper
16 papers, 871 citations indexed

About

Zexuan Zhong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Zexuan Zhong has authored 16 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Zexuan Zhong's work include Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Zexuan Zhong is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (3 papers). Zexuan Zhong collaborates with scholars based in United States, China and United Kingdom. Zexuan Zhong's co-authors include Danqi Chen, Dan Friedman, Mengzhou Xia, Tianyu Gao, Zaiqing Nie, Mu Yao Guo, Jinhyuk Lee, Fadel Adib, Unsoo Ha and Yunfei Ma and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and National Conference on Artificial Intelligence.

In The Last Decade

Zexuan Zhong

16 papers receiving 829 citations

Hit Papers

align trajectories sort by overperformance

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.

A Frustratingly Easy Approach for Entity and Relation Extraction

2021 266 citations Zexuan Zhong, Danqi Chen profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zexuan Zhong United States	12	698	179	118	71	71	16	871
Qipeng Guo China	11	907 1.3×	219 1.2×	118 1.0×	61 0.9×	68 1.0×	22	1.1k
Wenhu Chen United States	19	793 1.1×	344 1.9×	97 0.8×	29 0.4×	84 1.2×	67	1.1k
Amarnag Subramanya United States	15	713 1.0×	218 1.2×	57 0.5×	52 0.7×	100 1.4×	30	907
Rafael C. Carrasco Spain	15	467 0.7×	147 0.8×	89 0.8×	45 0.6×	56 0.8×	36	683
Xiubo Geng China	14	545 0.8×	276 1.5×	222 1.9×	20 0.3×	45 0.6×	42	798
Yichun Yin China	10	907 1.3×	365 2.0×	99 0.8×	31 0.4×	34 0.5×	18	1.1k
Yue Hu China	16	599 0.9×	285 1.6×	225 1.9×	16 0.2×	59 0.8×	69	811
Quanyu Dai China	16	622 0.9×	163 0.9×	296 2.5×	43 0.6×	111 1.6×	44	829
Weiyi Liu China	13	275 0.4×	98 0.5×	96 0.8×	44 0.6×	64 0.9×	66	550
Mengdi Zhang China	7	411 0.6×	117 0.7×	300 2.5×	25 0.4×	30 0.4×	22	579

Countries citing papers authored by Zexuan Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Zexuan Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zexuan Zhong

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

He, Zhenyu, Zexuan Zhong, Tianle Cai, Jason Lee, & Di He. (2024). REST: Retrieval-Based Speculative Decoding. 1582–1595. 8 indexed citations

Gao, Tianyu, et al.. (2023). Should You Mask 15% in Masked Language Modeling?. 2985–3000. 60 indexed citations

Zhong, Zexuan, et al.. (2023). Poisoning Retrieval Corpora by Injecting Adversarial Passages. 13764–13775. 10 indexed citations

Zhong, Zexuan, Zhengxuan Wu, Christopher D. Manning, Christopher Potts, & Danqi Chen. (2023). MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions. 15686–15702. 14 indexed citations

Huang, Yangsibo, et al.. (2023). Privacy Implications of Retrieval-Based Language Models. 14887–14902. 7 indexed citations

Asai, Akari, Sewon Min, Zexuan Zhong, & Danqi Chen. (2023). Retrieval-based Language Models and Applications. 41–46. 35 indexed citations

Xia, Mengzhou, Zexuan Zhong, & Danqi Chen. (2022). Structured Pruning Learns Compact and Accurate Models. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 1513–1528. 69 indexed citations

Zhong, Zexuan, et al.. (2022). Training Language Models with Memory Augmentation. 5657–5673. 36 indexed citations

Zhong, Zexuan & Danqi Chen. (2021). A Frustratingly Easy Approach for Entity and Relation Extraction. 50–61. 266 indexed citations breakdown →

10.

Zhong, Zexuan, Dan Friedman, & Danqi Chen. (2021). Factual Probing Is [MASK]: Learning vs. Learning to Recall. 5017–5033. 172 indexed citations

11.

Zhong, Zexuan, et al.. (2021). Simple Entity-Centric Questions Challenge Dense Retrievers. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 6138–6148. 50 indexed citations

12.

Zhong, Zexuan, et al.. (2019). Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space. 4711–4717. 8 indexed citations

13.

Zhong, Zexuan, Jiaqi Guo, Wei Yang, et al.. (2018). Generating Regular Expressions from Natural Language Specifications: Are We There Yet?. National Conference on Artificial Intelligence. 791–794. 12 indexed citations

14.

Zhong, Zexuan, Jiaqi Guo, Wei Yang, et al.. (2018). SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. 1608–1618. 16 indexed citations

15.

Ha, Unsoo, et al.. (2018). Learning Food Quality and Safety from Wireless Stickers. 106–112. 57 indexed citations

16.

Zhong, Zexuan, et al.. (2018). CoLink: An Unsupervised Framework for User Identity Linkage. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 51 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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