探索智能，同创未来。近日，张余青年教师入职yl88858cc永利官网。
个人简历：
张余，工学博士，现任yl88858cc永利官网讲师。2017年本科毕业于西安交通大学信息工程专业，2022年硕士毕业于中山大学计算机技术专业，2026年博士毕业于中山大学计算机科学与技术专业。研究方向为面向计算机视觉感知任务的高性能加速算法设计。相关研究成果发表在Neural Networks、Journal of Systems Architecture等期刊，并在ICET、ASP-DAC等国际会议中获得多项荣誉，包括ICET 2021最佳学生论文奖、ASP-DAC 2023特别设计奖等。
代表性成果：
1. Yu Zhang and Gang Chen. An Efficient and Low-Latency Attention Model for Event Denoising. In Neural Networks, 2026.
2. Yu Zhang, Jianing Zheng, Haitao Meng, Chonghao Zhong and Gang Chen. eTSDF: An Energy-efficient Accelerator for TSDF-based 3D Scene Reconstruction in FPGAs. In Tsinghua Science and Technology (TST), 2026.
3. Yu Zhang, Yi Zheng, Yehua Ling, Haitao Meng, Gang Chen. A Robust and Real-Time DNN-based Multi-Baseline Stereo Accelerator in FPGAs. In Journal of Systems Architecture (JSA), 2023.
4. Yu Zhang, Gang Chen, Tao He, Qian Huang, Kai Huang. ViraEye: An Energy-Efficient Stereo Vision Accelerator with Binary Neural Network in 55 nm CMOS. In 28th Asia and South Pacific Design Automation Conference (ASP-DAC), 2023.
5. Yu Zhang, Tao He, Lefeng Peng, Yi Chang, Kai Huang, Gang Chen. An ultra-high-speed hardware accelerator for image reconstruction and stereo rectification on event-based camera. In Microelectronics Journal, 2021.
联系方式 ：
邮箱：yu_zhang@hhu.edu.cn