杨永魁，高级工程师，硕士生导师，深圳市海外高层次人才，于2017年获新加坡南洋理工大学博士，主要研究方向为面向类脑计算、隐私计算等新型应用的数字/数模混合集成电路设计。曾于南洋理工大学设计了类脑的动态视觉传感器芯片（DVS/EVS），是OV公司CeleX产品的第一代原型机。在JSSC、TC、TCAS-I/II、HPCA、NeurIPS等顶级期刊/会议发表论文40余篇。主持/参与国家自然基金、广东省自然基金、深圳市技术攻关、企业联合实验室等项目。担任IEEE ICTA Session Chair、CCF集成电路设计专委会执行委员。

集成电路设计、计算机体系结构

1. Yongkui Yang, Chao Chen and Zheng Wang, “Architectures for Machine Learning”, Handbook of Computer Architecture, A. Chattopadhyay (Ed.), Publisher: Springer, 2025.
2. 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, vol. 73, no. 12, pp. 2791-2804, Dec. 2024.
3. 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.
4. 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.
5. 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.