Lixue Xia

2.7k total citations
43 papers, 2.0k citations indexed

About

Lixue Xia is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Lixue Xia has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Lixue Xia's work include Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (34 papers) and Advanced Neural Network Applications (10 papers). Lixue Xia is often cited by papers focused on Advanced Memory and Neural Computing (38 papers), Ferroelectric and Negative Capacitance Devices (34 papers) and Advanced Neural Network Applications (10 papers). Lixue Xia collaborates with scholars based in China, United States and Hong Kong. Lixue Xia's co-authors include Yu Wang, Huazhong Yang, Tianqi Tang, Boxun Li, Yuan Xie, Krishnendu Chakrabarty, Yu Cao, Shimeng Yu, Ming Cheng and Mengyun Liu and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and Batteries.

In The Last Decade

Lixue Xia

43 papers receiving 2.0k citations

Peers

Countries citing papers authored by Lixue Xia

Since Specialization

Citations

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

Fields of papers citing papers by Lixue Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixue Xia

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems 2020 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Yi Cai, Yujun Lin, Lixue Xia, Xiaohong Chen, Song Han, Yu Wang, Huazhong Yang	7
2	Low Bit-Width Convolutional Neural Network on RRAM 2019 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang	52
3	A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM 2019 ·Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang	67
4	PAI-FCNN: FPGA Based Inference System for Complex CNN Models 2019 ·Lixue Xia, (unknown), (unknown), Hao Liang, Kai Chen, (unknown), (unknown), (unknown), Meng Sun, (unknown), Wei Lin	7
5	TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks 2018 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang	55
6	Training low bitwidth convolutional neural network on RRAM 2018 ·Asia and South Pacific Design Automation Conference ·Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, (unknown), Huazhong Yang	10
7	Long Live TIME: Improving Lifetime for Training-In-Memory Engines by Structured Gradient Sparsification 2018 ·DSpace@MIT (Massachusetts Institute of Technology) ·Yi Cai, Yujun Lin, Lixue Xia, Xiaohong Chen, Song Han, Yu Wang, Huazhong Yang	7
8	Design of fault-tolerant neuromorphic computing systems 2018 ·Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty	14
9	A peripheral circuit reuse structure integrated with a retimed data flow for low power RRAM crossbar-based CNN 2018 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·(unknown), Weiwen Chen, Yuanchao Xu, Lixue Xia, Yu Wang, Zili Shao	12
10	Fault Tolerance for RRAM-Based Matrix Operations 2018 ·Mengyun Liu, Lixue Xia, Yu Wang, Krishnendu Chakrabarty	26
11	Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems 2018 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang	44
12	Low power driven loop tiling for RRAM crossbar-based CNN 2018 ·(unknown), (unknown), Weiwen Chen, Lixue Xia, Yu Wang	1
13	Stuck-at Fault Tolerance in RRAM Computing Systems 2017 ·IEEE Journal on Emerging and Selected Topics in Circuits and Systems ·Lixue Xia, Wenqin Huangfu, Tianqi Tang, Xiling Yin, Krishnendu Chakrabarty, Yuan Xie, Yu Wang, Huazhong Yang	115
14	A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory 2017 ·Fang Su, Wei-Hao Chen, Lixue Xia, Chieh-Pu Lo, Tianqi Tang, (unknown), Kuo-Hsiang Hsu, Ming Cheng, Junyi Li, Yuan Xie, Yu Wang, Meng‐Fan Chang, Huazhong Yang, Yongpan Liu	54
15	MNSIM: Simulation Platform for Memristor-based Neuromorphic Computing System 2017 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Lixue Xia, Boxun Li, Tianqi Tang, Peng Gu, Pai-Yu Chen, Shimeng Yu, Yu Cao, Yu Wang, Yuan Xie, Huazhong Yang	130
16	Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems 2017 ·Lixue Xia, Mengyun Liu, Xuefei Ning, Krishnendu Chakrabarty, Yu Wang	117
17	Spiking neural network with RRAM: can we use it for real-world application? 2015 ·Design, Automation, and Test in Europe ·Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang	20
18	Scaling-up resistive synaptic arrays for neuro-inspired architecture: Challenges and prospect 2015 ·Shimeng Yu, Pai-Yu Chen, Yu Cao, Lixue Xia, Yu Wang, Huaqiang Wu	177
19	Spiking Neural Network with RRAM: Can We Use It for Real-World Application? 2015 ·Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 ·Tianqi Tang, Lixue Xia, Boxun Li, Rong Luo, Yiran Chen, Yu Wang, Huazhong Yang	29
20	Energy Efficient RRAM Spiking Neural Network for Real Time Classification 2015 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yu Wang, Tianqi Tang, Lixue Xia, Boxun Li, Peng Gu, Huazhong Yang, Hai Li, Yuan Xie	43

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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