Mengshu Sun

1.1k total citations
23 papers, 306 citations indexed

About

Mengshu Sun is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Mengshu Sun has authored 23 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 12 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Mengshu Sun's work include Advanced Neural Network Applications (13 papers), CCD and CMOS Imaging Sensors (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Mengshu Sun is often cited by papers focused on Advanced Neural Network Applications (13 papers), CCD and CMOS Imaging Sensors (6 papers) and Adversarial Robustness in Machine Learning (4 papers). Mengshu Sun collaborates with scholars based in United States, Mexico and Canada. Mengshu Sun's co-authors include Xue Lin, Yanzhi Wang, Yanyu Li, Zhengang Li, Alec Lu, Zhenman Fang, Xue Lin, Miriam Leeser, Runbin Shi and Xuehai Qian and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Mengshu Sun

22 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mengshu Sun United States	8	161	135	95	48	36	23	306
Yuichiro Shibata Japan	9	191 1.2×	148 1.1×	46 0.5×	27 0.6×	63 1.8×	95	387
Chiraag Juvekar United States	11	117 0.7×	111 0.8×	110 1.2×	29 0.6×	56 1.6×	17	327
Kiyoshi Oguri Japan	8	88 0.5×	134 1.0×	45 0.5×	25 0.5×	57 1.6×	44	255
Philipp Gysel United States	4	197 1.2×	251 1.9×	123 1.3×	17 0.4×	47 1.3×	5	347
Ranjie Duan China	5	47 0.3×	155 1.1×	312 3.3×	22 0.5×	50 1.4×	7	405
Qing Jin United States	9	151 0.9×	158 1.2×	115 1.2×	9 0.2×	32 0.9×	14	336
Trang Hoang Vietnam	8	93 0.6×	72 0.5×	78 0.8×	16 0.3×	16 0.4×	47	239
Alec Lu Canada	7	114 0.7×	77 0.6×	60 0.6×	38 0.8×	62 1.7×	17	222
Reem Melki Lebanon	9	192 1.2×	59 0.4×	88 0.9×	10 0.2×	25 0.7×	23	321
Bingyi Zhang United States	10	102 0.6×	153 1.1×	159 1.7×	12 0.3×	31 0.9×	31	287

Countries citing papers authored by Mengshu Sun

Since Specialization

Citations

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

Fields of papers citing papers by Mengshu Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengshu Sun

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

20 of 20 papers shown

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

Sun, Mengshu, Kaidi Xu, Xue Lin, Yongli Hu, & Baocai Yin. (2024). Hardware-Friendly 3-D CNN Acceleration With Balanced Kernel Group Sparsity. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(10). 3027–3040.

Cao, Pengfei, Yubo Chen, Kang Liu, et al.. (2023). LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. 9142–9163. 2 indexed citations

Yuan, Geng, Alec Lu, Mengshu Sun, et al.. (2023). ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. 1–6. 3 indexed citations

Dong, Peiyan, Mengshu Sun, Alec Lu, et al.. (2023). HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. 442–455. 49 indexed citations

Sun, Mengshu, Zhengang Li, Alec Lu, et al.. (2022). FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. 134–145. 48 indexed citations

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

Dong, Peiyan, Hongjia Li, Mengshu Sun, et al.. (2022). TAAS. Proceedings of the 59th ACM/IEEE Design Automation Conference. 1321–1326. 5 indexed citations

Kong, Zhenglun, Peiyan Dong, Xiaolong Ma, et al.. (2021). HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers. 1 indexed citations

10.

Niu, Wei, Mengshu Sun, Zhengang Li, et al.. (2021). RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9179–9187. 6 indexed citations

11.

Sun, Mengshu, Pu Zhao, & Xue Lin. (2021). Power management in hybrid electric vehicles using deep recurrent reinforcement learning. Electrical Engineering. 104(3). 1459–1471. 11 indexed citations

12.

Li, Yanyu, Mengshu Sun, Weiwen Jiang, et al.. (2021). RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5231–5240. 5 indexed citations

13.

Li, Hongjia, Geng Yuan, Wei Niu, et al.. (2021). Real-Time Mobile Acceleration of DNNs. 581–586. 7 indexed citations

14.

Li, Hongjia, Mengshu Sun, Tianyun Zhang, et al.. (2021). Towards AQFP-Capable Physical Design Automation. 4 indexed citations

15.

Xu, Kaidi, Sijia Liu, Pin‐Yu Chen, et al.. (2020). Towards an Efficient and General Framework of Robust Training for Graph Neural Networks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8479–8483. 4 indexed citations

16.

Sun, Mengshu, et al.. (2020). 3D CNN Acceleration on FPGA using Hardware-Aware Pruning. 1–6. 24 indexed citations

17.

Xu, Kaidi, Gaoyuan Zhang, Sijia Liu, et al.. (2019). Evading Real-Time Person Detectors by Adversarial T-shirt.. arXiv (Cornell University). 7 indexed citations

18.

Sun, Mengshu, Pu Zhao, Yanzhi Wang, Naehyuck Chang, & Xue Lin. (2019). HSIM-DNN. 81–86. 3 indexed citations

19.

Sun, Mengshu, Yuankun Xue, Paul Bogdan, et al.. (2018). Hierarchical and hybrid energy storage devices in data centers: Architecture, control and provisioning. PLoS ONE. 13(1). e0191450–e0191450. 4 indexed citations

20.

Sun, Mengshu, et al.. (2015). Thin Plate Spline Regression Model Used at Early Stages of Soybean Breeding to Control Field Spatial Variation. Journal of Crop Improvement. 29(3). 333–352. 3 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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