Zhongzhi Yu

459 total citations
23 papers, 242 citations indexed

About

Zhongzhi Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Zhongzhi Yu has authored 23 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Zhongzhi Yu's work include Advanced Neural Network Applications (8 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Zhongzhi Yu is often cited by papers focused on Advanced Neural Network Applications (8 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (4 papers). Zhongzhi Yu collaborates with scholars based in United States, China and Hong Kong. Zhongzhi Yu's co-authors include Yingyan Lin, Chaojian Li, Yongan Zhang, Yonggan Fu, Yang Zhao, Haoran You, Cheng Wan, Baopu Li, Sixu Li and Cuifang Kuang and has published in prestigious journals such as IEEE Access, RSC Advances and Optics Communications.

In The Last Decade

Zhongzhi Yu

19 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongzhi Yu United States 9 95 73 50 35 22 23 242
Giulio Coluccia Italy 10 24 0.3× 87 1.2× 120 2.4× 15 0.4× 41 1.9× 23 251
K. P. Swain India 9 48 0.5× 160 2.2× 28 0.6× 4 0.1× 33 1.5× 61 301
Chunshu Wu United States 8 136 1.4× 111 1.5× 121 2.4× 66 1.9× 19 0.9× 26 286
Khosrow Hajsadeghi Iran 8 28 0.3× 201 2.8× 34 0.7× 30 0.9× 65 3.0× 40 298
Sid Ahmed Fezza France 9 128 1.3× 31 0.4× 152 3.0× 15 0.4× 8 0.4× 28 290
Somayyeh Jafarali Jassbi Iran 8 172 1.8× 82 1.1× 40 0.8× 17 0.5× 46 2.1× 31 288
Bangjie Yin China 8 154 1.6× 29 0.4× 188 3.8× 9 0.3× 16 0.7× 16 325
Coleman Hooper United States 6 92 1.0× 92 1.3× 52 1.0× 46 1.3× 5 0.2× 11 215
Bingyi Zhang United States 10 159 1.7× 102 1.4× 153 3.1× 31 0.9× 13 0.6× 31 287
Xiaojun Jia China 7 237 2.5× 30 0.4× 116 2.3× 16 0.5× 6 0.3× 23 291

Countries citing papers authored by Zhongzhi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zhongzhi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongzhi Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongzhi Yu. A scholar is included among the top collaborators of Zhongzhi 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 Zhongzhi Yu. Zhongzhi Yu 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.
Li, Sixu, Chaojian Li, Yonggan Fu, et al.. (2025). ORCHES: Orchestrated Test-Time-Compute-based LLM Reasoning on Collaborative GPU-PIM HEterogeneous System. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 476–489.
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Yu, Zhongzhi, Chaojian Li, Yongan Zhang, et al.. (2024). Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–5.
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Zhang, Yong-An, Zhongzhi Yu, Yonggan Fu, Cheng Wan, & Yingyan Lin. (2024). MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation. 1–5. 16 indexed citations
7.
You, Haoran, Yang Zhao, Cheng Wan, et al.. (2023). EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design. IEEE Micro. 43(4). 88–97. 4 indexed citations
8.
Yu, Zhongzhi, et al.. (2023). NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants. 33. 1–6. 1 indexed citations
9.
You, Haoran, Zhongzhi Yu, Yang Zhao, et al.. (2023). ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 273–286. 55 indexed citations
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Fu, Yonggan, Yongan Zhang, Zhongzhi Yu, et al.. (2023). GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–9. 49 indexed citations
12.
Yu, Zhongzhi, Yonggan Fu, Sicheng Li, Chaojian Li, & Yingyan Lin. (2022). MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 8962–8970. 11 indexed citations
13.
Yu, Zhongzhi & Yemin Shi. (2022). Kernel Quantization for Efficient Network Compression. IEEE Access. 10. 4063–4071. 4 indexed citations
14.
Li, Mengquan, Zhongzhi Yu, Yongan Zhang, Yonggan Fu, & Yingyan Lin. (2021). O-HAS: Optical Hardware Accelerator Search for Boosting Both Acceleration Performance and Development Speed. 1–9. 5 indexed citations
15.
Yu, Gang, Zhongzhi Yu, Yemin Shi, et al.. (2021). Identification of pediatric respiratory diseases using a fine-grained diagnosis system. Journal of Biomedical Informatics. 117. 103754–103754. 17 indexed citations
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Fu, Yonggan, Zhongzhi Yu, Yongan Zhang, et al.. (2021). InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 757–762. 2 indexed citations
17.
Qiang, Ning, Zhongzhi Yu, Chuchu Fan, & Dan Roth. (2018). Exploiting Partially Annotated Data in Temporal Relation Extraction. 148–153. 6 indexed citations
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Li, Yun, Xiangjiang Liu, Zhongzhi Yu, et al.. (2017). One-pot synthesis of a DNA-anchored SERS nanoprobe with simultaneous nanostructural tuning and Raman reporter encoding. RSC Advances. 7(9). 5063–5066. 8 indexed citations
20.
Toussaint, Kimani C., et al.. (2017). Saturated absorption competition microscopy. Optica. 4(6). 633–633. 18 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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Breakdown of academic impact, for papers by Giulio Coluccia Breakdown of academic impact, for papers by K. P. Swain Breakdown of academic impact, for papers by Chunshu Wu Breakdown of academic impact, for papers by Khosrow Hajsadeghi Breakdown of academic impact, for papers by Sid Ahmed Fezza Breakdown of academic impact, for papers by Somayyeh Jafarali Jassbi Breakdown of academic impact, for papers by Bangjie Yin Breakdown of academic impact, for papers by Coleman Hooper Breakdown of academic impact, for papers by Bingyi Zhang Breakdown of academic impact, for papers by Xiaojun Jia
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2026