Peiyan Dong

545 total citations
25 papers, 214 citations indexed

About

Peiyan Dong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Peiyan Dong has authored 25 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Peiyan Dong's work include CCD and CMOS Imaging Sensors (9 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (5 papers). Peiyan Dong is often cited by papers focused on CCD and CMOS Imaging Sensors (9 papers), Advanced Neural Network Applications (9 papers) and Advanced Memory and Neural Computing (5 papers). Peiyan Dong collaborates with scholars based in United States, Mexico and China. Peiyan Dong's co-authors include Yanzhi Wang, Zhengang Li, Zhenglun Kong, Mengshu Sun, Xue Lin, Sheng Lin, Xin Meng, Alec Lu, Zhenman Fang and Xue Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Peiyan Dong

23 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiyan Dong United States 10 81 76 69 23 19 25 214
Hang Qi China 6 99 1.2× 98 1.3× 70 1.0× 14 0.6× 13 0.7× 16 230
Thierry Tambe United States 8 77 1.0× 96 1.3× 77 1.1× 51 2.2× 20 1.1× 16 229
Alec Lu Canada 7 114 1.4× 60 0.8× 77 1.1× 62 2.7× 7 0.4× 17 222
Yaohui Cai United States 4 37 0.5× 117 1.5× 162 2.3× 21 0.9× 10 0.5× 5 235
Yury Nahshan Israel 3 60 0.7× 127 1.7× 185 2.7× 10 0.4× 14 0.7× 3 235
Sid Ahmed Fezza France 9 31 0.4× 128 1.7× 152 2.2× 15 0.7× 74 3.9× 28 290
Elad Hoffer Israel 5 43 0.5× 152 2.0× 183 2.7× 7 0.3× 10 0.5× 10 256
Michael Figurnov United States 3 36 0.4× 153 2.0× 220 3.2× 11 0.5× 10 0.5× 4 268

Countries citing papers authored by Peiyan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Peiyan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiyan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Peiyan Dong. A scholar is included among the top collaborators of Peiyan Dong 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 Peiyan Dong. Peiyan Dong 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.
Kong, Zhenglun, Dongkuan Xu, Zhengang Li, et al.. (2025). AutoViT: Achieving Real-Time Vision Transformers on Mobile via Latency-aware Coarse-to-Fine Search. International Journal of Computer Vision. 133(9). 6170–6186. 2 indexed citations
2.
Dong, Peiyan, Zhenglun Kong, Yifan Gong, et al.. (2025). Squat: Quant Small Language Models on the Edge. 1–9.
3.
Dong, Peiyan, et al.. (2024). Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18944–18951. 14 indexed citations
4.
Dong, Peiyan, Yanyu Li, Dongkuan Xu, et al.. (2024). EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3949–3960. 10 indexed citations
5.
Lu, Lei, Zhenglun Kong, Peiyan Dong, et al.. (2024). HotaQ: Hardware Oriented Token Adaptive Quantization for Large Language Models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 1–1. 6 indexed citations
6.
Li, Zhengang, Alec Lu, Zhenglun Kong, et al.. (2024). Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. 324–337. 3 indexed citations
7.
Li, Yanyu, Peiyan Dong, Jie Lei, et al.. (2024). SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. 264–273. 1 indexed citations
8.
Kong, Zhenglun, Haoyu Ma, Geng Yuan, et al.. (2023). Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8360–8368. 10 indexed citations
9.
Li, Zhengang, Geng Yuan, Peiyan Dong, et al.. (2023). SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. 584–598. 2 indexed citations
10.
Kong, Zhenglun, Minghai Qin, Peiyan Dong, et al.. (2023). Data Level Lottery Ticket Hypothesis for Vision Transformers. 1378–1386. 3 indexed citations
11.
Sheng, Yi, Peiyan Dong, Zhenglun Kong, et al.. (2023). Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. 1–9. 1 indexed citations
12.
13.
Li, Zhengang, et al.. (2023). Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. 1–4. 1 indexed citations
14.
Han, Runze, Peng Huang, Hong Hu, et al.. (2022). Floating Gate Transistor‐Based Accurate Digital In‐Memory Computing for Deep Neural Networks. SHILAP Revista de lepidopterología. 4(12). 4 indexed citations
15.
Wang, Meng, et al.. (2022). Driving factors of spatial–temporal difference in China’s transportation sector carbon productivity: an empirical analysis based on Geodetector method. Environmental Science and Pollution Research. 30(11). 30656–30671. 9 indexed citations
16.
Dong, Peiyan, et al.. (2022). Quantum Neural Network Compression. 1–9. 11 indexed citations
17.
Yuan, Geng, Peiyan Dong, Mengshu Sun, et al.. (2022). Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Transactions on Embedded Computing Systems. 21(5). 1–22. 2 indexed citations
18.
Liu, Changlu, Peiyan Dong, Yan‐Ming Zhang, et al.. (2021). NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1892–1905. 23 indexed citations
19.
Kong, Zhenglun, Peiyan Dong, Xiaolong Ma, et al.. (2021). HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers. 1 indexed citations
20.
Dong, Peiyan, Wei Niu, Sheng Lin, et al.. (2020). RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. 1–6. 35 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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