Yi Tay

12.5k citations

71 papers · 3.0k indexed · 3 hit papers · h-index 26

Impact in

Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Information Systems top 0.5%
- Recommender Systems and Techniques

Papers in ⓘ

Artificial Intelligence 64
- Topic Modeling 50
- Natural Language Processing Techniques 33
- Advanced Graph Neural Networks 9
- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 5
- Domain Adaptation and Few-Shot Learning 5
Computer Vision and Pattern Recognition 26
- Multimodal Machine Learning Applications 18

Co-authors: Aixin Sun (7 shared papers)Shuai Zhang (8 shared papers)Lina Yao (6 shared papers)Siu Cheung Hui (23 shared papers)Donald Metzler (15 shared papers)Dara Bahri (12 shared papers)Mostafa Dehghani (7 shared papers)Luu Anh Tuan (8 shared papers)
Journals: ACM Computing Surveys (2 papers)IEEE Transactions on Image Processing (1 paper)ACM SIGIR Forum (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)SHILAP Revista de lepidopterología (2 papers)
Partner nations: Singapore United States Australia

In The Last Decade

Yi Tay

71 papers receiving 2.8k citations

Hit Papers

align trajectories log scale

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them 2023 · 121 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
2022 ACM Computing Surveys
2019 ACM Computing Surveys

Peers

Countries citing papers authored by Yi Tay

Since Specialization

Citations

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

Fields of papers citing papers by Yi Tay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi Tay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Tay Line = papers co-authored together Yi Tay links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep Learning Based Recommender System ACM Computing Surveys ·Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay Hit paper breakdown →	2019	795
2	Efficient Transformers: A Survey ACM Computing Surveys ·Yi Tay, Mostafa Dehghani, Dara Bahri, Donald Metzler Hit paper breakdown →	2022	433
3	Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis Proceedings of the AAAI Conference on Artificial Intelligence ·Yi Tay, Luu Anh Tuan, Siu Cheung Hui	2018	138
4	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Mirac Süzgün, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H., Denny Zhou, Jason Lee Hit paper breakdown →	2023	121
5	Reasoning with Sarcasm by Reading In-Between Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su	2018	105
6	Dyadic Memory Networks for Aspect-based Sentiment Analysis Yi Tay, Luu Anh Tuan, Siu Cheung Hui	2017	70
7	A New Generation of Perspective API: Efficient Multilingual Character-level Transformers Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining ·Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Prakash Gupta, Donald Metzler, Lucy Vasserman	2022	67
8	HyperML Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li	2020	65
9	SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring Proceedings of the AAAI Conference on Artificial Intelligence ·Yi Tay, Minh C. Phan, Luu Anh Tuan, Siu Cheung Hui	2018	64
10	Interact and Decide Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li	2019	57
11	Confusionset-guided Pointer Networks for Chinese Spelling Check Dingmin Wang, Yi Tay, Zhong Li	2019	52
12	Quaternion Knowledge Graph Embeddings arXiv (Cornell University) ·Shuai Zhang, Yi Tay, Lina Yao, Qi Liu	2019	46
13	Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference Yi Tay, Anh Tuan Luu, Siu Cheung Hui	2018	46
14	Rethinking search ACM SIGIR Forum ·Donald Metzler, Yi Tay, Dara Bahri, Marc Najork	2021	46
15	Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network Tuan Luu Anh, Yi Tay, Siu Cheung Hui, See Kiong Ng	2016	42
16	NeuPL Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li	2017	39
17	Do Transformer Modifications Transfer Across Implementations and Applications? Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Sharan Narang, Hyung Won Chung, Yi Tay, Liam Fedus, Thibault Févry, Michael Matena, Karishma Malkan, Noah Fiedel, Noam Shazeer, Zhenzhong Lan, Yanqi Zhou, Wei Li, Nan Ding, Jake Marcus, Adam P. Roberts, Colin Raffel	2021	37
18	Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling Jinfeng Rao, Linqing Liu, Yi Tay, Wei Yang, Peng Shi, Jimmy Lin	2019	32
19	Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs Proceedings of the AAAI Conference on Artificial Intelligence ·Yi Tay, Anh Luu, Siu Cheung Hui	2017	31
20	Multi-Cast Attention Networks Yi Tay, Luu Anh Tuan, Siu Cheung Hui	2018	31

About Yi Tay

Yi Tay is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research and Signal Processing, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Topic Modeling (50 papers), Natural Language Processing Techniques (33 papers), Multimodal Machine Learning Applications (18 papers), Recommender Systems and Techniques (12 papers), Advanced Graph Neural Networks (9 papers), Sentiment Analysis and Opinion Mining (6 papers), Text and Document Classification Technologies (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Information Systems (954 citations), Computer Vision and Pattern Recognition (680 citations), Health Informatics (33 citations) and Management Science and Operations Research (249 citations). Yi Tay has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Aixin Sun, Shuai Zhang, Lina Yao, Siu Cheung Hui, Donald Metzler, Dara Bahri, Mostafa Dehghani, Luu Anh Tuan, Anh Tuan Luu and Minh C. Phan. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Image Processing, ACM SIGIR Forum, IEEE Transactions on Knowledge and Data Engineering and SHILAP Revista de lepidopterología.

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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