Xuefei Ning

1.6k total citations
44 papers, 737 citations indexed

About

Xuefei Ning is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xuefei Ning has authored 44 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Electrical and Electronic Engineering and 14 papers in Artificial Intelligence. Recurrent topics in Xuefei Ning's work include Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (9 papers) and CCD and CMOS Imaging Sensors (7 papers). Xuefei Ning is often cited by papers focused on Advanced Neural Network Applications (15 papers), Advanced Memory and Neural Computing (9 papers) and CCD and CMOS Imaging Sensors (7 papers). Xuefei Ning collaborates with scholars based in China, United States and United Kingdom. Xuefei Ning's co-authors include Yu Wang, Huazhong Yang, Mengyun Liu, Krishnendu Chakrabarty, Lixue Xia, Yu Wang, Jincheng Yu, Kai Zhong, Juejian Wu and Hai Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Xuefei Ning

35 papers receiving 721 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xuefei Ning China	13	420	281	184	123	62	44	737
Hiroki Nakahara Japan	16	511 1.2×	321 1.1×	485 2.6×	202 1.6×	110 1.8×	98	971
Indranil Saha India	15	353 0.8×	404 1.4×	253 1.4×	168 1.4×	198 3.2×	50	1.1k
Azalia Mirhoseini United States	13	480 1.1×	313 1.1×	174 0.9×	297 2.4×	181 2.9×	42	962
Muhammad Abdullah Hanif Austria	21	638 1.5×	379 1.3×	262 1.4×	207 1.7×	103 1.7×	73	1.0k
Alberto Marchisio United Arab Emirates	11	275 0.7×	223 0.8×	168 0.9×	67 0.5×	67 1.1×	46	544
Bert Moons Belgium	12	780 1.9×	296 1.1×	438 2.4×	152 1.2×	117 1.9×	18	1.1k
Sungpill Choi South Korea	14	438 1.0×	154 0.5×	324 1.8×	63 0.5×	64 1.0×	36	682
Sanghoon Kang South Korea	15	667 1.6×	302 1.1×	606 3.3×	112 0.9×	81 1.3×	48	1.1k
Faiq Khalid Austria	14	306 0.7×	217 0.8×	119 0.6×	204 1.7×	123 2.0×	44	586

Countries citing papers authored by Xuefei Ning

Since Specialization

Citations

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

Fields of papers citing papers by Xuefei Ning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuefei Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Xuefei Ning. A scholar is included among the top collaborators of Xuefei Ning 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 Xuefei Ning. Xuefei Ning 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

Guo, W., Weiying Xie, Xuefei Ning, et al.. (2025). ShiftQuant: Toward Accurate and Efficient Sub-8-bit Integer Training. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10632–10648.

Ma, Qianli, et al.. (2025). Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning. 23281–23291.

Zeng, Shulin, Zhenhua Zhu, Xuefei Ning, et al.. (2025). FMC-LLM: Enabling FPGAs for Efficient Batched Decoding of 70B+ LLMs with a Memory-Centric Streaming Architecture. 55–55. 1 indexed citations

Ning, Xuefei, Xihui Liu, Xiuhong Li, et al.. (2025). MBQ: Modality-Balanced Quantization for Large Vision-Language Models. 4167–4177.

Zhao, Lin, et al.. (2024). THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. 5. 5541–5550. 1 indexed citations

Xie, Tongxin, Tianchen Zhao, Zhenhua Zhu, et al.. (2024). DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. 1–6.

Zhu, Zhenhua, Hanbo Sun, Xuefei Ning, et al.. (2024). Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Transactions on Circuits and Systems for Video Technology. 34(9). 8053–8066. 5 indexed citations

Zhu, Zhenhua, Xuefei Ning, Guohao Dai, et al.. (2024). Towards Floating Point-Based Attention-Free LLM: Hybrid PIM with Non-Uniform Data Format and Reduced Multiplications. 1–9.

Zhao, Lin, Tianchen Zhao, Zinan Lin, et al.. (2024). FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. 16122–16131. 1 indexed citations

10.

Zeng, Shulin, et al.. (2024). FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. 223–234. 49 indexed citations

11.

Ye, Mu, Chao Yu, Xuefei Ning, et al.. (2024). Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios. 2320–2327. 1 indexed citations

12.

Ning, Xuefei, Zixuan Zhou, Tianchen Zhao, et al.. (2023). Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start”. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11316–11326. 1 indexed citations

13.

Cai, Yi, Xuefei Ning, Huazhong Yang, & Yu Wang. (2023). Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14738–14747. 6 indexed citations

14.

Zeng, Shulin, Zhenhua Zhu, Guohao Dai, et al.. (2023). DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 283–296. 9 indexed citations

15.

Ning, Xuefei, et al.. (2022). A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 7955–7969. 1 indexed citations

16.

Ning, Xuefei, Yitu Wang, Jingwei Sun, et al.. (2022). FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 10092–10101. 74 indexed citations

17.

Zhong, Kai, Xuefei Ning, Guohao Dai, et al.. (2022). Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5421–5434. 7 indexed citations

18.

Huang, Guyue, Yifan He, Jialong Liu, et al.. (2021). Machine Learning for Electronic Design Automation: A Survey. ACM Transactions on Design Automation of Electronic Systems. 26(5). 1–46. 180 indexed citations

19.

Guo, Kaiyuan, Jincheng Yu, Xuefei Ning, et al.. (2018). RRAM Based Buffer Design for Energy Efficient CNN Accelerator. 435–440. 5 indexed citations

20.

Xia, Lixue, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, & Yu Wang. (2018). Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(9). 1611–1624. 44 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.

Explore authors with similar magnitude of impact