Tong Yu

1.5k total citations · 1 hit paper
61 papers, 618 citations indexed

About

Tong Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tong Yu has authored 61 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Information Systems. Recurrent topics in Tong Yu's work include Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (11 papers) and Topic Modeling (7 papers). Tong Yu is often cited by papers focused on Recommender Systems and Techniques (11 papers), Advanced Bandit Algorithms Research (11 papers) and Topic Modeling (7 papers). Tong Yu collaborates with scholars based in United States, China and France. Tong Yu's co-authors include Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Ryan A. Rossi, Isabel O. Gallegos, Joe Barrow, Franck Dernoncourt, Nesreen K. Ahmed, Md Mehrab Tanjim and Nicolas Padoy and has published in prestigious journals such as Biology of Reproduction, IEEE Transactions on Knowledge and Data Engineering and Neural Networks.

In The Last Decade

Tong Yu

49 papers receiving 594 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.

Bias and Fairness in Large Language Models: A Survey

2024 141 citations Ryan A. Rossi, Sungchul Kim et al. profile →

Peers

Countries citing papers authored by Tong Yu

Since Specialization

Citations

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

Fields of papers citing papers by Tong Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tong Yu

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

#	Work	Indexed citations
1	Application of Targeted Next-Generation Sequencing in Bronchoalveolar Lavage Fluid for the Detection of Pathogens in Pulmonary Infections 2025 ·Infection and Drug Resistance ·(unknown), (unknown), Tong Yu, (unknown), (unknown), Jisen Shi, (unknown), (unknown)	2
2	Interactive Visualization Recommendation with Hier-SUCB 2025 ·(unknown), Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, (unknown)	0
3	Learning multi-modal representations by watching hundreds of surgical video lectures 2025 ·Medical Image Analysis ·Kun Yuan, (unknown), Tong Yu, Joël L. Lavanchy, Jacques Marescaux, Pietro Mascagni, Nassir Navab, Nicolas Padoy	4
4	Applications of artificial intelligence in surgery: clinical, technical, and governance considerations 2024 ·Cirugía Española (English Edition) ·(unknown), Deepak Alapatt, (unknown), Tong Yu, Sergio Alfieri, Salvador Morales‐Conde, Nicolas Padoy, Silvana Perretta	0
5	Genome-Wide Analysis of the NBS-LRR Gene Family and SSR Molecular Markers Development in Solanaceae 2024 ·Horticulturae ·Xiaoming Song, Chunjin Li, (unknown), Rong Zhou, (unknown), Tong Yu, Li Jia, Nan Li	1
6	DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention 2024 ·Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, (unknown), Julian McAuley	1
7	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation 2024 ·Junda Wu, (unknown), Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian McAuley	7
8	Fairness-Aware Graph Neural Networks: A Survey 2024 ·ACM Transactions on Knowledge Discovery from Data ·April Chen, Ryan A. Rossi, Namyong Park, (unknown), Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed	6
9	Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits 2024 ·(unknown), (unknown), Tong Yu, (unknown), Ryan A. Rossi, Sungchul Kim, (unknown)	3
10	Tackling Long-Tail Entities for Temporal Knowledge Graph Completion 2024 ·(unknown), Ryan A. Rossi, Sungchul Kim, (unknown), Tong Yu, (unknown), Mohammad Rostami	1
11	Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems 2024 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), (unknown), (unknown), Tong Yu, John C. S. Lui	2
12	Self-distillation improves self-supervised learning for DNA sequence inference 2024 ·Neural Networks ·Tong Yu, Lei Cheng, (unknown), (unknown), (unknown)	1
13	Advancing Vision-Language Models with Adapter Ensemble Strategies 2024 ·(unknown), Handong Zhao, (unknown), Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, (unknown)	1
14	Dissecting self-supervised learning methods for surgical computer vision 2023 ·Medical Image Analysis ·(unknown), (unknown), Deepak Alapatt, Tong Yu, (unknown), (unknown), Chinedu Innocent Nwoye, (unknown), (unknown), (unknown), (unknown), Alexandros Karargyris, Nicolas Padoy	28
15	Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. 2020 ·International Conference on Machine Learning ·Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel	2
16	ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. 2018 ·National Conference on Artificial Intelligence ·Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel	3
17	Interpretative Topic Categorization Via Deep Multiple Instance Learning 2018 ·Tong Yu, Meng Wang, (unknown), (unknown), Jun Liu	2
18	Markov Chain analysis of noise and restart in stochastic local search 2016 ·International Joint Conference on Artificial Intelligence ·Ole J. Mengshoel, (unknown), Tong Yu	4
19	Improving Demand Prediction in Bike Sharing System by Learning Global Features 2016 ·Knowledge Discovery and Data Mining ·Ming Zeng, Tong Yu, Xiao Wang, (unknown), Le T. Nguyen, Ole J. Mengshoel	15
20	PROPERTIES OF ACID PHOSPHATASE FROM CARASSIAS AURATUS AND EFFECTS OF SEVERAL EFFECTORS ON THE ACTIVITY OF THE ENZYME 2010 ·Acta Hydrobiologica Sinica ·(unknown), (unknown), (unknown), Ying Zhang, Tong Yu	1

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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