Denny Zhou

8.7k total citations · 2 hit papers
19 papers, 627 citations indexed

About

Denny Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software. According to data from OpenAlex, Denny Zhou has authored 19 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Software. Recurrent topics in Denny Zhou's work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Denny Zhou is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (2 papers). Denny Zhou collaborates with scholars based in United States, Canada and China. Denny Zhou's co-authors include Quoc V. Le, Adams Wei Yu, Yifeng Lu, Alan Yuille, Ben Caine, Jiquan Ngiam, Yingwei Li, Tianjian Meng, Daiyi Peng and Junyang Shen and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Denny Zhou

19 papers receiving 600 citations

Hit Papers

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D O... 2022 2026 2023 2024 2022 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denny Zhou United States 11 296 287 129 54 46 19 627
Botian Shi China 12 317 1.1× 164 0.6× 84 0.7× 42 0.8× 34 0.7× 34 546
Weidong Yang China 12 276 0.9× 209 0.7× 36 0.3× 60 1.1× 15 0.3× 65 698
Yuqi Huo China 7 331 1.1× 147 0.5× 134 1.0× 14 0.3× 38 0.8× 15 506
Xian-Sheng Hua China 7 881 3.0× 167 0.6× 320 2.5× 121 2.2× 64 1.4× 11 1.1k
Keke Tang China 13 180 0.6× 275 1.0× 26 0.2× 23 0.4× 14 0.3× 62 525
Yuhan Wang China 10 569 1.9× 131 0.5× 27 0.2× 28 0.5× 40 0.9× 40 838
Zoltán Vámossy Hungary 13 292 1.0× 79 0.3× 108 0.8× 12 0.2× 15 0.3× 69 471
Ryoichi Shinkuma Japan 14 100 0.3× 86 0.3× 57 0.4× 31 0.6× 6 0.1× 129 737

Countries citing papers authored by Denny Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Denny Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denny Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Denny Zhou. A scholar is included among the top collaborators of Denny Zhou 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 Denny Zhou. Denny Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Vu, Tu, Mohit Iyyer, Xuezhi Wang, et al.. (2024). FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation. 13697–13720. 25 indexed citations
2.
Longpre, Shayne, Emily Reif, Katherine Lee, et al.. (2024). A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. 3245–3276. 11 indexed citations
3.
Wang, Xuezhi & Denny Zhou. (2024). Chain-of-Thought Reasoning Without Prompting. 66383–66409. 2 indexed citations
4.
Süzgün, Mirac, Nathan Scales, Nathanael Schärli, et al.. (2023). Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. 13003–13051. 121 indexed citations breakdown →
5.
Tay, Yi, Jason Lee, Hyung Won Chung, et al.. (2023). Transcending Scaling Laws with 0.1% Extra Compute. 1471–1486. 17 indexed citations
6.
Wei, Jerry, Le Hou, Andrew K. Lampinen, et al.. (2023). Symbol tuning improves in-context learning in language models. 968–979. 11 indexed citations
7.
Ren, Hongyu, Hanjun Dai, Bo Dai, et al.. (2022). SMORE. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 1472–1482. 17 indexed citations
8.
Li, Yingwei, Adams Wei Yu, Tianjian Meng, et al.. (2022). DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17161–17170. 301 indexed citations breakdown →
9.
Hou, Le, Richard Yuanzhe Pang, Yuexin Wu, et al.. (2022). Token Dropping for Efficient BERT Pretraining. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3774–3784. 9 indexed citations
10.
Ren, Hongyu, Hanjun Dai, Bo Dai, et al.. (2021). LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. International Conference on Machine Learning. 8959–8970. 20 indexed citations
11.
Chen, Xinyun, Petros Maniatis, Rishabh Singh, et al.. (2021). SpreadsheetCoder: Formula Prediction from Semi-structured Context. arXiv (Cornell University). 6 indexed citations
12.
Ye, Mao, et al.. (2020). Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. International Conference on Machine Learning. 10820–10830. 6 indexed citations
13.
Chen, Xinyun, Liang Chen, Adams Wei Yu, et al.. (2020). Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. International Conference on Learning Representations. 40 indexed citations
14.
Zhou, Denny, Chen Chen, Tianjian Meng, et al.. (2020). Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. arXiv (Cornell University). 1. 11546–11555. 2 indexed citations
15.
Mousavi, Ali, Lihong Li, Qiang Liu, & Denny Zhou. (2020). Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning. arXiv (Cornell University). 3 indexed citations
16.
Xue, Yuan, Denny Zhou, Nan Du, et al.. (2020). Deep State-Space Generative Model For Correlated Time-to-Event Predictions. 1552–1562. 3 indexed citations
17.
Mao, Jiayuan, et al.. (2019). Neural Logic Machines. arXiv (Cornell University). 16 indexed citations
18.
Sun, Zhiqing, et al.. (2019). MobileBERT: Task-Agnostic Compression of BERT by Progressive Knowledge Transfer. 7 indexed citations
19.
Chen, Ting, Ji Lin, Tian Lin, et al.. (2018). Adaptive Mixture of Low-Rank Factorizations for Compact Neural Modeling. 10 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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