Tiezheng Yu

4.9k total citations · 2 hit papers
19 papers, 2.2k citations indexed

About

Tiezheng Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Tiezheng Yu has authored 19 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Tiezheng Yu's work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Tiezheng Yu is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Multimodal Machine Learning Applications (4 papers). Tiezheng Yu collaborates with scholars based in Hong Kong, Greece and China. Tiezheng Yu's co-authors include Pascale Fung, Ziwei Ji, Yan Xu, Dan Su, Nayeon Lee, Etsuko Ishii, Andrea Madotto, Rita Frieske, Wenliang Dai and Zihan Liu and has published in prestigious journals such as ACM Computing Surveys, Europe PMC (PubMed Central) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Tiezheng Yu

18 papers receiving 2.1k citations

Hit Papers

align trajectories

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.

Survey of Hallucination in Natural Language Generation

2022 1.5k citations Ziwei Ji, Nayeon Lee et al. ACM Computing Surveys profile →
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

2023 388 citations Yejin Bang, Samuel Cahyawijaya et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiezheng Yu Hong Kong	11	1.4k	382	277	204	157	19	2.2k
Ziwei Ji Hong Kong	10	1.3k 0.9×	378 1.0×	259 0.9×	170 0.8×	142 0.9×	22	2.1k
Andrea Madotto Hong Kong	17	1.6k 1.2×	293 0.8×	214 0.8×	280 1.4×	134 0.9×	42	2.4k
Nayeon Lee Hong Kong	8	947 0.7×	297 0.8×	192 0.7×	122 0.6×	223 1.4×	16	1.7k
Etsuko Ishii Hong Kong	5	916 0.7×	296 0.8×	185 0.7×	124 0.6×	110 0.7×	11	1.6k
Rita Frieske Hong Kong	2	885 0.6×	291 0.8×	171 0.6×	114 0.6×	103 0.7×	3	1.5k
Shizhu He China	13	1.4k 1.0×	245 0.6×	262 0.9×	170 0.8×	69 0.4×	39	1.9k
Carrie J. Cai United States	20	1.2k 0.8×	279 0.7×	308 1.1×	373 1.8×	179 1.1×	38	2.5k
Himabindu Lakkaraju United States	19	1.4k 1.0×	182 0.5×	200 0.7×	114 0.6×	214 1.4×	44	2.2k
Przemysław Kazienko Poland	23	791 0.6×	134 0.4×	439 1.6×	196 1.0×	318 2.0×	117	2.1k

Countries citing papers authored by Tiezheng Yu

Since Specialization

Citations

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

Fields of papers citing papers by Tiezheng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiezheng Yu

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

19 of 19 papers shown

Yu, Tiezheng, Wenjun Hou, Yi Cheng, et al.. (2025). Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing. 31184–31203.

Yu, Tiezheng, Ziwei Ji, & Pascale Fung. (2023). Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 48–54. 1 indexed citations

Ji, Ziwei, Tiezheng Yu, Yan Xu, et al.. (2023). Towards Mitigating LLM Hallucination via Self Reflection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1827–1843. 89 indexed citations

Cahyawijaya, Samuel, Holy Lovenia, Tiezheng Yu, Willy Chung, & Pascale Fung. (2023). InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction Tuning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 55–78. 1 indexed citations

Ji, Ziwei, Zihan Liu, Nayeon Lee, et al.. (2023). RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4504–4522. 16 indexed citations

Bang, Yejin, Samuel Cahyawijaya, Nayeon Lee, et al.. (2023). A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 675–718. 388 indexed citations breakdown →

Bang, Yejin, Tiezheng Yu, Andrea Madotto, et al.. (2023). Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 311–325. 2 indexed citations

Yu, Tiezheng, Hanchao Yu, Yuning Mao, et al.. (2023). Generating Hashtags for Short-form Videos with Guided Signals. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 9482–9495. 2 indexed citations

Cahyawijaya, Samuel, et al.. (2022). SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 140–154. 3 indexed citations

10.

Ji, Ziwei, Nayeon Lee, Rita Frieske, et al.. (2022). Survey of Hallucination in Natural Language Generation. ACM Computing Surveys. 55(12). 1–38. 1469 indexed citations breakdown →

11.

Lee, Nayeon, Yejin Bang, Tiezheng Yu, Andrea Madotto, & Pascale Fung. (2022). NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3131–3148. 5 indexed citations

12.

Yu, Tiezheng, Zihan Liu, & Pascale Fung. (2021). AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5892–5904. 38 indexed citations

13.

Yu, Tiezheng, Wenliang Dai, Zihan Liu, & Pascale Fung. (2021). Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 49 indexed citations

14.

Liu, Zihan, Yan Xu, Tiezheng Yu, et al.. (2021). CrossNER: Evaluating Cross-Domain Named Entity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13452–13460. 75 indexed citations

15.

Su, Dan, Tiezheng Yu, & Pascale Fung. (2021). Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3124–3131. 13 indexed citations

16.

Yu, Tiezheng, Dan Su, Wenliang Dai, & Pascale Fung. (2020). Dimsum @LaySumm 20. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 303–309. 2 indexed citations

17.

Su, Dan, et al.. (2020). CAiRE-COVID: A Question Answering and Multi-Document Summarization System for COVID-19 Research.. Europe PMC (PubMed Central). 12 indexed citations

18.

Dai, Wenliang, Tiezheng Yu, Zihan Liu, & Pascale Fung. (2020). Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2060–2066. 12 indexed citations

19.

Su, Dan, et al.. (2020). CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 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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