Tianxing He

1.1k total citations
38 papers, 419 citations indexed

About

Tianxing He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tianxing He has authored 38 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Tianxing He's work include Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (10 papers). Tianxing He is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Speech Recognition and Synthesis (10 papers). Tianxing He collaborates with scholars based in China, United States and United Kingdom. Tianxing He's co-authors include Kai Yu, Yanmin Qian, Tian Tan, Jasha Droppo, Yuchen Fan, Jingzhao Zhang, James Glass, Yang Feng, Rui Zhou and Suvrit Sra and has published in prestigious journals such as Frontiers in Plant Science, Remote Sensing and Sustainable Cities and Society.

In The Last Decade

Tianxing He

34 papers receiving 398 citations

Peers

Tianxing He
Tianxing He
Citations per year, relative to Tianxing He Tianxing He (= 1×) peers Mauricio Orozco‐Alzate

Countries citing papers authored by Tianxing He

Since Specialization
Citations

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

Fields of papers citing papers by Tianxing He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianxing He

This figure shows the co-authorship network connecting the top 25 collaborators of Tianxing He. A scholar is included among the top collaborators of Tianxing 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 Tianxing He. Tianxing He 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.
2.
Dong, Xiaoning, et al.. (2025). SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage. 1952–1987.
3.
He, Tianxing, et al.. (2025). Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. Transactions of the Association for Computational Linguistics. 13. 121–141. 3 indexed citations
4.
He, Tianxing, et al.. (2025). Genome-wide survey and expression analysis of the OMT gene family in Stephania japonica. PeerJ. 13. e18600–e18600.
5.
Liu, Dan, Rui Zhou, Qun Ma, et al.. (2024). Spatio-temporal patterns and population exposure risks of urban heat island in megacity Shanghai, China. Sustainable Cities and Society. 108. 105500–105500. 29 indexed citations
6.
Zhang, Mengke, Tianxing He, Tianle Wang, et al.. (2024). LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. 2674–2690. 1 indexed citations
7.
Zhang, Jingyu, et al.. (2024). k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text. 1706–1715. 5 indexed citations
8.
Zhang, Jingyu, Tianxing He, Yichen Wang, et al.. (2024). SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. 4067–4082. 9 indexed citations
9.
Yang, Hanting, Can Wang, Yuxuan Zhang, et al.. (2024). A haplotype-resolved gap-free genome assembly provides novel insight into monoterpenoid diversification in Mentha suaveolens ‘Variegata’. Horticulture Research. 11(3). uhae022–uhae022. 11 indexed citations
10.
Feng, Shangbin, et al.. (2024). KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. 2226–2237. 2 indexed citations
11.
Zhang, Yizhuo, Shangbin Feng, Zhaoxuan Tan, et al.. (2024). Can LLM Graph Reasoning Generalize beyond Pattern Memorization?. 2289–2305. 3 indexed citations
12.
Han, Xiaochuang, et al.. (2023). On the Zero-Shot Generalization of Machine-Generated Text Detectors. 4799–4808. 2 indexed citations
13.
He, Tianxing, Tianle Wang, Sachin Kumar, et al.. (2023). On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. 12067–12097. 7 indexed citations
14.
He, Tianxing, Rui Zhou, Qun Ma, et al.. (2023). Quantifying the effects of urban development intensity on the surface urban heat island across building climate zones. Applied Geography. 158. 103052–103052. 22 indexed citations
15.
He, Tianxing, Jun Liu, Kyunghyun Cho, et al.. (2021). Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models. 1121–1133. 22 indexed citations
16.
Nadeem, Moin, Tianxing He, Kyunghyun Cho, & James Glass. (2020). A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation. 334–346. 6 indexed citations
17.
He, Tianxing, Jun Liu, Kyunghyun Cho, et al.. (2019). Mix-review: Alleviate Forgetting in the Pretrain-Finetune Framework for Neural Language Generation Models. arXiv (Cornell University). 4 indexed citations
18.
He, Tianxing, Jingzhao Zhang, Zhiming Zhou, & James Glass. (2019). Quantifying Exposure Bias for Neural Language Generation. arXiv (Cornell University). 12 indexed citations
19.
Zhang, Jingzhao, Tianxing He, Suvrit Sra, & Ali Jadbabaie. (2019). Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.. arXiv (Cornell University). 3 indexed citations
20.
He, Tianxing, Yuchen Fan, Yanmin Qian, Tian Tan, & Kai Yu. (2014). Reshaping deep neural network for fast decoding by node-pruning. 245–249. 76 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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