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Kai Li 0024

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affiliation: Southern University of Science and Technology, School of Microelectronics, Shenzhen, Guangdong, China

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Kai Li — disambiguation page
Kai Li 0001 — Princeton University, NJ, USA
Kai Li 0002 — University of Cambridge, Department of Engineering, UK (and 3 more)
Kai Li 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
Kai Li 0004 — North University of China, Department of the Shanxi Key Laboratory of Signal Capturing and Processing, Taiyuan, China
Kai Li 0005 — Facebook Inc, Menlo Park, CA, USA (and 1 more)
Kai Li 0006 — Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China
Kai Li 0007 — East Carolina University, Department of Industrial Technology, Greenville, NC, USA (and 1 more)
Kai Li 0008 — Toyohashi University of Technology, Research Center for Agrotechnology and Biotechnology, Japan
Kai Li 0009 — InterDigital Communications, Melville, NY, USA (and 1 more)

Kai Li 0010 — Renmin University of China, School of Information Resource Management, Beijing, China (and 2 more)
Kai Li 0011 — Shanghai University of Finance and Economics, School of Information Management and Engineering, China
Kai Li 0012 — NEC Laboratories America, Machine Learning Department, Princeton, NJ, USA (and 1 more)
Kai Li 0013 — Zhengzhou Institute of Surveying and Mapping, China
Kai Li 0014 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
Kai Li 0015 — Wuhan University, School of Remote Sensing and Information Engineering, Hubei, China
Kai Li 0016 — Shanghai University, School of Communication and Information Engineering, China (and 1 more)
Kai Li 0017 — San Diego State University, CA, USA (and 1 more)
Kai Li 0018 — Japan Advanced Institute of Science and Technology, School of Information Science, Japan
Kai Li 0019 — Hefei University of Technology, School of Management, China
Kai Li 0020 — Nankai University, Business School, Tianjin, China
Kai Li 0021 — Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China (and 3 more)
Kai Li 0022 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
Kai Li 0023 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
Kai Li 0025 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China (and 1 more)
Kai Li 0026 — Chinese Flight Test Establishment, China
Kai Li 0027 — Central South University, School of Mechanical and Electrical Engineering, State Key Laboratory of High-Performance Complex Manufacturing, Changsha, China
Kai Li 0028 — Anhui Jianzhu University, School of Civil Engineering, Hefei, China
Kai Li 0029 — Southwestern University of Finance and Economics, Institute of Financial Studies, China (and 1 more)
Kai Li 0030 — State Grid Xinjiang Information & Telecommunication Company, China
Kai Li 0031 — Chinese University of Hong Kong, Shenzhen Research Institute of Big Data, China
Kai Li 0032 — National University of Defense Technology, Institute of Information and Communication, Xi'an, China
Kai Li 0033 — Xi'an University of Posts & Telecommunications, China
Kai Li 0034 — Xidian University, Laboratory of Intelligent Systems and Innovative Design, Xi'an, China
Kai Li 0035 — Jilin University (Campus NanLing), China Department of Control Science and Engineering, Changchun, China
Kai Li 0036 — Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China
Kai Li 0037 — Shanghai Jiao Tong University, Research Institute of Micro/Nanometer Science and Technology, China
Kai Li 0038 — Hebei University, School of Cyber Security and Computer, Baoding, China
Kai Li 0039 — Northeastern University, Department of Electrical and Computer Engineering, Boston, MA, USA
Kai Li 0040 — Hanyang University, Department of Mechatronics Engineering, Ansan, South Korea
Kai Li 0041 — Harbin Institute of Technology, School of Mechanical and Electrical Engineering, China
Kai Li 0042 — Henan University of Science and Technology, College of Information Engineering, Luoyang, China
Kai Li 0043 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
Kai Li 0044 — Zhejiang University, College of Information Science and Electronic Engineering, Yuquan Campus, Hangzhou, China (and 1 more)
Kai Li 0045 — Peking University, School of Computer Science, National Engineering Research Center of Visual Technology, Beijing, China (and 1 more)
Kai Li 0046 — University of British Columbia, School of Business, Vancouver, BC, Canada
Kai Li 0047 — Tsinghua University, Institute for Artificial Intelligence, Department of Computer Science and Technology, BNRist, Beijing, China
Kai Li 0048 — Southwest Petroleum University, School of Geoscience and Technology, Chengdu, China

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2020 – today

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2025
[j9]
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Kai Li, Mingqiang Huang, Ang Li, Shuxin Yang, Quan Cheng, Hao Yu:
A 29.12-TOPS/W Vector Systolic Accelerator With NAS-Optimized DNNs in 28-nm CMOS. IEEE J. Solid State Circuits 60(10): 3790-3801 (2025)
[j8]
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Wei Mao, Dingbang Liu, Haoxiang Zhou, Fuyi Li, Kai Li, Qiuping Wu, Jiaqi Yang, Quan Cheng, Liuyang Zhang, Hao Yu:
A 28-nm 135.19 TOPS/W Bootstrapped-SRAM Compute-in-Memory Accelerator With Layer-Wise Precision and Sparsity. IEEE Trans. Circuits Syst. I Regul. Pap. 72(7): 3236-3246 (2025)
[j7]
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Mingqiang Huang, Ao Shen, Kai Li, Haoxiang Peng, Boyu Li, Yupeng Su, Hao Yu:
EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models. IEEE Trans. Circuits Syst. I Regul. Pap. 72(7): 3352-3365 (2025)
[c12]
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Sixiao Huang, Tintin Wang, Keyao Jiang, Ao Shen, Kai Li, Ang Li, Mingqiang Huang, Hao Yu:
An MLA-LLM Hardware Acceleration with Tensor-Train Decomposition on Group Vector Systolic Accelerator. ASAP 2025: 101-108
[c11]
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Dingbang Liu, Ziyi Guan, Qilong Chen, Jingyun Gu, Jiaqi Yang, Kai Li, Wei Mao, Ngai Wong, Changwen Chen, Hao Yu:
A 20.98TOPS/W Energy-Efficient Binary BERT Model on Group Vector Systolic CIM Accelerator. ISLPED 2025: 1-7
[i2]
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  - journals/corr/abs-2501-19135
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Sixiao Huang, Tintin Wang, Ang Li, Ao Shen, Kai Li, Keyao Jiang, Mingqiang Huang, Hao Yu:
A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator. CoRR abs/2501.19135 (2025)
2024
[j6]
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Laimin Du, Leibin Ni, Xiong Liu, Guanqi Peng, Kai Li, Wei Mao, Hao Yu:
A Low-Power DNN Accelerator With Mean-Error-Minimized Approximate Signed Multiplier. IEEE Open J. Circuits Syst. 5: 57-68 (2024)
[j5]
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Boyu Li, Kai Li, Jiajun Zhou, Yuan Ren, Wei Mao, Hao Yu, Ngai Wong:
A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1401-1405 (2024)
[c10]
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Kai Li, Hantao Huang, Mingqiang Huang, Chenchen Ding, Longyang Lin, Liebing Ni, Hao Yu:
A 29.12 TOPS/W and 1.13 TOPS/mm2 NAS-Optimized Mixed-Precision DNN Accelerator with Vector Split- and-Combination Systolic in 28nm CMOS. CICC 2024: 1-2
[c9]
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  - conf/fccm/YangDHLLWHDZY24
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Shuxin Yang, Chenchen Ding, Mingqiang Huang, Kai Li, Chenghao Li, Zikun Wei, Sixiao Huang, Jingyao Dong, Liuyang Zhang, Hao Yu:
LAMPS: A Layer-wised Mixed-Precision-and-Sparsity Accelerator for NAS-Optimized CNNs on FPGA. FCCM 2024: 90-96
[i1]
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  - journals/corr/abs-2407-21325
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Mingqiang Huang, Ao Shen, Kai Li, Haoxiang Peng, Boyu Li, Hao Yu:
EdgeLLM: A Highly Efficient CPU-FPGA Heterogeneous Edge Accelerator for Large Language Models. CoRR abs/2407.21325 (2024)
2023
[c8]
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  - conf/aicas/ZhouHLLXLLLMY23
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Haoxiang Zhou, Haiqiao Hong, Dingbang Liu, Hang Liu, Yu Xia, Kai Li, Jun Liu, Shaobo Luo, Wei Mao, Hao Yu:
RISC-V based Fully-Parallel SRAM Computing-in-Memory Accelerator with High Hardware Utilization and Data Reuse Rate. AICAS 2023: 1-5
[c7]
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  - conf/fpga/HuangLHLW023
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Mingqiang Huang, Yucen Liu, Sixiao Huang, Kai Li, Qiuping Wu, Hao Yu:
Multi-bit-width CNN Accelerator with Systolic-in-Systolic Dataflow and Single DSP Multiple Multiplication Scheme. FPGA 2023: 229
2022
[j4]
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Mingqiang Huang, Yucen Liu, Changhai Man, Kai Li, Quan Cheng, Wei Mao, Hao Yu:
A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69(9): 3619-3631 (2022)
[j3]
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Kai Li, Wei Mao, Junzhuo Zhou, Boyu Li, Zhengke Yang, Shuxing Yang, Laimin Du, Sixiao Huang, Hao Yu:
A Vector Systolic Accelerator for Multi-Precision Floating-Point High-Performance Computing. IEEE Trans. Circuits Syst. II Express Briefs 69(10): 4123-4127 (2022)
[j2]
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Wei Mao, Kai Li, Quan Cheng, Liuyao Dai, Boyu Li, Xinang Xie, He Li, Longyang Lin, Hao Yu:
A Configurable Floating-Point Multiple-Precision Processing Element for HPC and AI Converged Computing. IEEE Trans. Very Large Scale Integr. Syst. 30(2): 213-226 (2022)
[j1]
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Wei Mao, Liuyao Dai, Kai Li, Quan Cheng, Yuhang Wang, Laimin Du, Shaobo Luo, Mingqiang Huang, Hao Yu:
An Energy-Efficient Mixed-Bitwidth Systolic Accelerator for NAS-Optimized Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 30(12): 1878-1890 (2022)
[c6]
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  - conf/aicas/LiZLYHLMY22
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Kai Li, Junzhuo Zhou, Boyu Li, Shuxing Yang, Sixiao Huang, Shaobo Luo, Wei Mao, Hao Yu:
A Vector Systolic Accelerator for Multi-Precision Floating-Point High-Performance Computing. AICAS 2022: 226-229
[c5]
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  - conf/aspdac/DaiCWHZLM022
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Liuyao Dai, Quan Cheng, Yuhang Wang, Gengbin Huang, Junzhuo Zhou, Kai Li, Wei Mao, Hao Yu:
An Energy-Efficient Bit-Split-and-Combination Systolic Accelerator for NAS-Based Multi-Precision Convolution Neural Networks. ASP-DAC 2022: 448-453
[c4]
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  - conf/date/LiZWLYYMHY22
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Kai Li, Junzhuo Zhou, Yuhang Wang, Junyi Luo, Zhengke Yang, Shuxin Yang, Wei Mao, Mingqiang Huang, Hao Yu:
A Precision-Scalable Energy-Efficient Bit-Split-and-Combination Vector Systolic Accelerator for NAS-Optimized DNNs on Edge. DATE 2022: 730-735
[c3]
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Mingqiang Huang, Yucen Liu, Quan Cheng, Shuxin Yang, Kai Li, Junyi Luo, Zhengke Yang, Qiufeng Li, Hao Yu, Changhai Man:
A High Throughput Multi-bit-width 3D Systolic Accelerator for NAS Optimized Deep Neural Networks on FPGA. FPGA 2022: 50
2021
[c2]
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  - conf/aicas/LiMXCXDY21
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Kai Li, Wei Mao, Xinang Xie, Quan Cheng, Huan Xie, Zhenjiang Dong, Hao Yu:
Multiple-Precision Floating-Point Dot Product Unit for Efficient Convolution Computation. AICAS 2021: 1-4
[c1]
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Wei Mao, Kai Li, Xinang Xie, Shirui Zhao, He Li, Hao Yu:
A Reconfigurable Multiple-Precision Floating-Point Dot Product Unit for High-Performance Computing. DATE 2021: 1793-1798

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