基本信息

杨永魁  男  硕导  中国科学院深圳先进技术研究院
电子邮件: yk.yang@siat.ac.cn
通信地址: 广东省深圳市南山区学苑大道1068

研究领域

面向类脑计算、隐私计算等新型应用的集成电路设计与体系结构

招生信息

招生专业
085400-电子信息
081203-计算机应用技术
招生方向
数字集成电路设计
数模混合集成电路设计
计算机体系结构

教育背景

2012-08--2017-05   新加坡南洋理工大学   博士
2007-09--2011-06   大连理工大学   工学学士

工作经历

   
工作简历
2024-01~现在, 中国科学院深圳先进技术研究院, 高级工程师
2019-12~2023-12,中国科学院深圳先进技术研究院, 助理研究员
2017-04~2020-11,Latticesemi、O2Micro、芯海科技, 集成电路设计工程师
2016-09~2017-03,南洋理工大学/Hillhouse Technology, 助理研究员
2012-08~2016-08,新加坡微电子研究所, 实习生
2011-09~2012-07,新加坡南洋理工大学, 研究助理
社会兼职
2024-05-18-今,CCF集成电路设计专委, 执行委员
2024-03-01-今,IEEE ICTA, TPC/Session Chair
2020-10-03-2020-10-05,IEEE BigDIA 2020, 分会主席

专利与奖励

   
专利成果

( 1 ) 基于CPU-GPU异构架构的数据处理方法、设备以及存储介质, 发明专利, 2021, 第 2 作者, 专利号: CN202111539679.8 
( 2 ) 基于CPU-GPU异构架构的性能分析方法、设备以及存储介质, 发明专利, 2021, 第 2 作者, 专利号: CN202111535943.0 
( 3 ) 一种低成本低功耗脉冲神经网络加速器, 发明专利, 2021, 第 2 作者, 专利号: CN202111538761.9 
( 4 ) 一种高效的零知识证明加速器及方法, 发明专利, 2021, 第 1 作者, 专利号: CN202111538249.4 
( 5 ) 一种基于缓存技术的有限域上的运算方法及装置, 发明专利, 2021, 第 4 作者, 专利号: CN202111385724.9 
( 6 ) 一种手势分类识别方法及其应用, 发明专利, 2021, 第 2 作者, 专利号: CN202110542132.7 
( 7 ) 一种存内计算加速器及其优化方法, 发明专利, 2021, 第 2 作者, 专利号: CN112529171A 
( 8 ) 连续运动信息预测模型的训练方法及其训练装置、设备, 发明专利, 2021, 第 4 作者, 专利号: CN112434630A 
( 9 ) 一种算法与硬件协同优化的混合精度存内计算加速器, 发明专利, 2020, 第 1 作者, 专利号: CN202011424498.6

出版信息

Books

  • Yongkui Yang, Chao Chen and Zheng Wang, “Architectures for Machine Learning”, Handbook of Computer Architecture, A. Chattopadhyay (Ed.), Publisher: Springer, 2024.

Journals

  • Kunyao Lai, Enyi Yao, Zhenxing Li and Yongkui Yang*, “A High-Density eDRAM Macro with Programmable Sense Amplifier and TG-Shifter for Logical Instructions Based In-Memory Computing,”  in IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2025.

  • Yongkui Yang, Zhenyan Lu, Jingwei Zeng, Xingguo Liu, Xuehai Qian and Zhibin Yu, Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof, in IEEE Transactions on Computers (TC), vol. 73, no. 12, pp. 2791-2804, Dec. 2024.

  • Yang Zhang, Xiangrui Wang, Gaopeng Fan, Yuan Cao, Yiqiu Liu, Yongkui Yang and Enyi Yao, An Ising Model-Based Parallel Tempering Processing Architecture for Combinatorial Optimization,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.

  • Tingting Yin, Feihong Dong, Chao Chen, Chenghao Ouyang, Zheng Wang and Yongkui Yang*, “A Spiking LSTM Accelerator for Automatic Speech Recognition Application Based on FPGA”, Electronics 2024, 13, 827.

  • Yi Peng, Yongkui Yang, Zheng Wang, Chao Chen, “AnchorCapsule: a datastream-serving post-processor for object detection in embedded vision SoC”, IEEE Transactions on Circuits and Systems II (TCAS-II), 71(2) 2024.

  • Dong Jiang, Xiangrui Wang, Zhanhong Huang, Yongkui Yang and Enyi Yao “A Network-on-Chip-Based Annealing Processing Architecture for Large-Scale Fully Connected Ising Model”, IEEE Transactions on Circuits and Systems I (TCAS-I), 2023, 70(7): 2868-2880.

  • Yongkui Yang, Tingting Yin, Jiping Liu and Enyi Yao, “A low-cost digital calibration scheme for high-resolution SAR ADC using Adaptive-LMS”, Electronics Letters 2022, 58 (25): 949-951.

  • Yongkui Yang, Jun Zhou, Xin Liu and Wang Ling Goh, “A 10-Bit 300 kS/s Reference-Voltage Regulator Free SAR ADC for Wireless-Powered Implantable Medical Devices,” Sensors, 2018, 18(2131): 1-10.

  • Yongkui Yang, Jun Zhou, Xin Liu, Jia Hao Cheong and Wang Ling Goh, “A 151-nW Adaptive Delta-Sampling ADC for Ultra-Low Power Sensing Applications,” IEEE Transactions on Circuits and Systems II (TCAS-II), 2016, 63(7): 638-642.

  • Xin Liu, Jun Zhou, Yongkui Yang, Bo Wang, Jingjing Lan, Chao Wang, Jianwen Luo, Wang Ling Goh, Tony Tae-Hyoung Kim and Minkyu Je, “A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring,” IEEE Journal of Solid-State Circuits (JSSC), 2014, 49(11): 2422-2434.

  • Xin Liu, Jun Zhou, Chao Wang, Kah-Hyong Chang, Jianwen Luo, Jingjing Lan, Lei Liao, Yat-Hei Lam, Yongkui Yang, Bo Wang, Xin Zhang, Wang Ling Goh, Tony Tae-Hyoung Kim and Minkyu Je, “An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing”, IEEE Transactions on Circuits and Systems II (TCAS-II), 2015, 62(12): 1149-1153.

Conferences

  • Shihao Zou,  Qingfeng Li, Wei Ji,  Jingjing Li, Yongkui Yang, Guoqi Li and Chao Dong, SpikeVideoFormer: An Efficient Spike-Driven Video Transformer with Hamming Attention and $\mathcal {O}(T) $ Complexity”, the 42nd International Conference on Machine Learning (ICML), 2025.

  • Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang and Hui Xiong, “SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network”, the 38th Conference on Neural Information Processing Systems (NeurIPS), 2024.

  • Feihong Dong, Linjie Jiang, Cunyang Luan, Ruiyi Sun and Yongkui Yang*, “A RISC-V Processor with Custom Instructions for Spiking Neural Network Acceleration”, IEEE International Conference on Integrated Circuits Technologies and Applications (ICTA), 2024, pp.222-223.

  • Yalong Shan, Yongkui Yang, Xuehai Qian and Zhibin Yu, “Guser: A GPGPU Power Stressmark Generator”, the 30th IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2024, pp. 1111-1124.

  • Wenhui Ou, Zhuoyu Wu, Zheng Wang, Chao Chen and Yongkui Yang, COMPACT: Co-processor for Multi-mode Precision-adjustable Non-linear Activation Functions, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023.

  • Weiyu Guo, Zhaoshuo Li, Yongkui Yang*, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille and Yingwei Li, “Context-Enhanced Stereo Transformer”, European Conference on Computer Vision (ECCV), 2022.

  • Rui Chen, Yuanzhi Chen, Weiyu Guo, Chao Chen, Zheng Wang and Yongkui Yang*, sEMG-Based Gesture Recognition Using GRU with Strong Robustness Against Forearm Posture, IEEE International Conference on Real-time Computing and Robotics (RCAR), 2021, pp. 275-280.

  • Bo Dong, Zheng Wang, Wenxuan Chen, Chao Chen, Yongkui Yang and Zhibin Yu, OR-ML: Enhancing Reliability for Machine Learning Accelerator with Opportunistic Redundancy, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, pp. 739-742.

  • Xin Liu, Jun Zhou, Yongkui Yang, Bo Wang, Jingjing Lan, Chao Wang, Jianwen Luo, Wang Ling Goh, Tony Tae-Hyoung Kim and Minkyu Je, A 457-nW cognitive multi-functional ECG processor, IEEE Asian Solid-State Circuits Conference (A-SSCC), 2013, pp. 141-144.

Google Scholar