Xuanli He

798 total citations
26 papers, 376 citations indexed

About

Xuanli He is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Xuanli He has authored 26 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Xuanli He's work include Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Xuanli He is often cited by papers focused on Natural Language Processing Techniques (9 papers), Topic Modeling (8 papers) and Adversarial Robustness in Machine Learning (8 papers). Xuanli He collaborates with scholars based in Australia, United Kingdom and United States. Xuanli He's co-authors include Lingjuan Lyu, Marimuthu Palaniswami, Jiong Jin, Sutharshan Rajasegarar, Qiongkai Xu, Yee Wei Law, James C. Bezdek, Mohammad Norouzi, Gholamreza Haffari and Lichao Sun and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Data & Knowledge Engineering.

In The Last Decade

Xuanli He

21 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuanli He Australia	10	281	122	76	54	46	26	376
Mengyuan Wang China	6	104 0.4×	93 0.8×	39 0.5×	54 1.0×	46 1.0×	12	261
Anna Maria Mandalari United Kingdom	8	178 0.6×	204 1.7×	30 0.4×	116 2.1×	60 1.3×	25	339
Travis Mayberry United States	8	193 0.7×	167 1.4×	38 0.5×	25 0.5×	87 1.9×	17	371
Haolong Xiang China	10	117 0.4×	143 1.2×	41 0.5×	28 0.5×	94 2.0×	34	267
Jiandian Zeng China	7	113 0.4×	167 1.4×	59 0.8×	19 0.4×	70 1.5×	11	291
Triet D. Vo-Huu United States	8	160 0.6×	74 0.6×	46 0.6×	75 1.4×	46 1.0×	11	275
Yan Michalevsky United States	7	182 0.6×	107 0.9×	62 0.8×	155 2.9×	168 3.7×	11	343
Mohamed Abid Tunisia	12	127 0.5×	171 1.4×	66 0.9×	38 0.7×	112 2.4×	41	303
Roman Kolcun United Kingdom	7	165 0.6×	183 1.5×	29 0.4×	114 2.1×	64 1.4×	10	299
Entao Luo China	8	133 0.5×	189 1.5×	43 0.6×	19 0.4×	164 3.6×	15	362

Countries citing papers authored by Xuanli He

Since Specialization

Citations

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

Fields of papers citing papers by Xuanli He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanli He

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

20 of 20 papers shown

1.

He, Xuanli, Jun Wang, Qiongkai Xu, et al.. (2025). TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. 16504–16544. 2 indexed citations

2.

He, Xuanli, et al.. (2025). GRADA: Graph-based Reranking against Adversarial Documents Attack. 22255–22277.

3.

He, Xuanli, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, & Pontus Stenetorp. (2024). Using Natural Language Explanations to Improve Robustness of In-context Learning. 13477–13499. 2 indexed citations

4.

Wang, Jun, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, & Trevor Cohn. (2024). Backdoor Attacks on Multilingual Machine Translation. 4515–4534.

5.

He, Xuanli, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, & Trevor Cohn. (2024). SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks. Transactions of the Association for Computational Linguistics. 12. 996–1010. 1 indexed citations

6.

He, Xuanli, et al.. (2024). Here’s a Free Lunch: Sanitizing Backdoored Models with Model Merge. 15059–15075. 2 indexed citations

7.

Zhuo, Terry Yue, Qiongkai Xu, Xuanli He, & Trevor Cohn. (2023). Rethinking Round-Trip Translation for Machine Translation Evaluation. 319–337.

8.

He, Xuanli, et al.. (2023). Can Knowledge Graphs Simplify Text?. 379–389. 2 indexed citations

9.

He, Xuanli, et al.. (2023). IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks. 287–301. 3 indexed citations

10.

He, Xuanli, et al.. (2023). Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation. 953–967. 5 indexed citations

11.

Xu, Qiongkai & Xuanli He. (2023). Security Challenges in Natural Language Processing Models. 2 indexed citations

12.

He, Xuanli, Lingjuan Lyu, Chen Chen, & Qiongkai Xu. (2022). Extracted BERT Model Leaks More Information than You Think!. 1530–1537. 4 indexed citations

13.

Wang, Jun, Xuanli He, Benjamin I. P. Rubinstein, & Trevor Cohn. (2022). Foiling Training-Time Attacks on Neural Machine Translation Systems. 5906–5913.

14.

He, Xuanli, et al.. (2022). Generate, Annotate, and Learn: NLP with Synthetic Text. Transactions of the Association for Computational Linguistics. 10. 826–842. 18 indexed citations

15.

Lyu, Lingjuan, et al.. (2020). Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness. 2355–2365. 32 indexed citations

16.

Lyu, Lingjuan, et al.. (2020). Towards Differentially Private Text Representations. 1813–1816. 18 indexed citations

17.

He, Xuanli, Quan Hung Tran, & Gholamreza Haffari. (2019). A Pointer Network Architecture for Context-Dependent Semantic Parsing. Monash University Research Portal (Monash University). 94–99. 1 indexed citations

18.

He, Xuanli, Gholamreza Haffari, & Mohammad Norouzi. (2018). Sequence to Sequence Mixture Model for Diverse Machine Translation. 583–592. 21 indexed citations

19.

Lyu, Lingjuan, Xuanli He, Yee Wei Law, & Marimuthu Palaniswami. (2017). Privacy-Preserving Collaborative Deep Learning with Application to Human Activity Recognition. 1219–1228. 52 indexed citations

20.

Lyu, Lingjuan, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, & Marimuthu Palaniswami. (2017). Fog-Empowered Anomaly Detection in IoT Using Hyperellipsoidal Clustering. IEEE Internet of Things Journal. 4(5). 1174–1184. 93 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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