💬 About Me

官俊涛，硕士生导师，准聘副教授（集成电路研究所-丁瑞雪团队），西安电子科技大学工学博士。研究方向为主要研究方向为智能图像信号处理器AI-ISP、边缘神经网络处理器EdgeNPU，作为主要成员参与国家重点研发计划、国家自然科学基金、装备预研等科研项目。长期从事图像信号处理器设计、图像处理算法开发以及深度学习加速器等领域的研究工作，在面向图像处理的集成电路软-硬件协同设计方面取得了一系列的科研成果，具备算法-电路-架构协同设计以及芯片流片测试的经验。相关成果发表在国际权威杂志与会议IEEE TCSVT、IEEE TNNLS、IEEE TCAS-II、IEEE GRSL、Neurocomputing、AAAI、NeurIPS、CVPR、ICCV中。并担任IEEE TNNLS、IEEE TCSVT、IEEE GRSL、CVPR、ICCV、ECCV等多个学术期刊的审稿人。

💻 主要研究方向：

边缘神经网络处理器EdgeNPU
智能图像信号处理器AI-ISP
先进图像处理算法
微型机器学习TinyML

🎖 招生信息

每年3名硕士研究生名额.
招生专业为电子信息-集成电路工程.
欢迎各位同学报考！

🔥 News

2024.10: 🎉🎉 恭喜2022级研究生江学堃同学再次获得国家奖学金National Scholarship.
2024.08: 🎉🎉 恭喜2024级研究生郝卫东、崔金文、刘馨珂同学获得全国大学生嵌入式芯片与系统设计大赛二等奖.
2023.10: 🎉🎉 恭喜2022级研究生江学堃同学获得国家奖学金National Scholarship.
2023.10: 🎉🎉 恭喜2022级研究生郭庆辉同学获得国家奖学金National Scholarship.
2023.08: 🎉🎉 恭喜2022级研究生江学堃、郭庆辉、方舒宁同学获得全国大学生集成电路创新创业大赛一等奖.
Rui Fan, Weidong Hao, Juntao Guan, Lai Rui, Tong Wu, Fanhong Zeng, Lin Gu, “SMV-EAR: Bring Spatiotemporal Multi-View Representation Learning into Efficient Event-Based Action Recognition”, 2026 IEEE Conference on Computer Vision and Pattern Recognition(CVPR).
Fanhong Zeng, Chao Li, Runhan Li, Juntao Guan, Rui Lai, Zhangming Zhu, “Neural Quantization-Aware Piecewise Linear Approximation for Nonlinear Functions on FPGA”, IEEE International Symposium on Circuits and Systems (ISCAS) 2026.
Fanhong Zeng, Huanan Li, Juntao Guan, Rui Fan, Tong Wu, Xilong Wang, Rui Lai, “An Efficient Hybrid Vision Transformer for TinyML Applications”, 2025 IEEE/CVF International Conference on Computer Vision(ICCV).
Juntao Guan, Qinghui Guo, Huanan Li, Huanan Li, Rui Lai，Ruixue Ding, Libo Qian, Zhangming Zhu, “PIMSR: An Energy-Efficient Processing-in-Memory Accelerator for 60 FPS 4K Super-Resolution”, IEEE Transactions On Circuits and Systems Part II: Express Briefs, 2025.
Rui Fan, Weidong Hao, Juntao Guan, Rui Lai, Zhangming Zhu. “EventPillars: Pillar-based Efﬁcient Representations for Event Data”, 2025 Thirty-Ninth AAAI Conference on Artificial Intelligence(AAAI).
Huanan Li, Juntao Guan, Rui Lai, Sijun Ma, Lin Gu4, Zhangming Zhu. “TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge”, 2024 The Thirty-Eighth Annual Conference on Neural Information Processing Systems(NeurIPS).
Juntao Guan, Gufeng Liu, Rui Lai, Fanhong Zeng. “Microarchitecture Aware NAS for TinyML Devices”, 2024 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Huanan Li, Rui Lai*, Shicheng Jia, Juntao Guan. “An Energy-Efficient Look-up Table Framework for Super Resolution on FPGA”, 2024 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Juntao Guan, Rui Lai, Huanan Li, Yintang Yang, Lin Gu, “DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping”, IEEE Transactions on Neural Networks and Learning Systems, Vol.34, Issue 7, pp.3255-3268, 2023.
Juntao Guan, Rui Lai, Yang Lu, Yangang Li, Huanan Li, Lichen Feng, Yintang Yang, Lin Gu. “Memory-Efficient Deformable Convolution based Joint Denoising and Demosaicing for UHD Images”, IEEE Transactions on Circuits and Systems for Video technology, Vol.32, Issue 11, pp.7346-7358, 2022.
Dong Wang, Rui Lai*, Juntao Guan, “Target Attention Deep Neural Network for Infrared Image Enhancement”, Infrared Physics and Technology, Vol.115, pp.103690, 2021.
Juntao Guan, Rui Lai*, Ai Xiong, Zesheng Liu, Lin Gu, “Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN”, Neurocomputing, Vol.377, pp.301-313, 2020.
Zesheng Liu, Rui Lai*, Juntao Guan, “Spatial and Transform Domain CNN for SAR Image Despeckling”, IEEE Geoscience and Remote Sensing Letters, Vol.19, pp. 4002005, 2022. (ESI High Cited Paper)
Juntao Guan, Rui Lai*, Ai Xiong, “Wavelet Deep Neural Network for Stripe Noise Removal”, IEEE ACCESS, Vol.19, pp.44544-44554, 2019.

📚 Academic Research

边缘神经网络处理器

针对超低功耗应用场景，提出了“无外存计算”的感知计算框架，并通过算法优化以充分压缩模型尺寸，通过片内访存实现整个模型的计算，从而彻底消除由片外访存带来的巨大功耗和延迟，提升系统能效。

微型机器学习算法

在硬件资源严格受限的物联网边缘侧微处理器和专用芯片上，EdgeML技术正通过高效的算法和硬件电路设计，以应对传统机器学习惊人计算开销和存储空间需求带来的巨大挑战，实现在边缘侧设备的部署。