刁博宇 男 硕导 中国科学院计算技术研究所
电子邮件： diaoboyu2012@ict.ac.cn
通信地址： 北京市海淀区科学院南路6号
邮政编码： 100190
研究领域
高效机器学习系统、低功耗持续学习系统、嵌入式智能系统
招生信息
每年在计算所和国科大杭高院智能学院招收硕士研究生2-3名，联合培养博士研究生1名。
招生专业
081201-计算机系统结构
085404-计算机技术
085410-人工智能
教育和工作经历
教育背景
2012-09~2018-06 中国科学院计算技术研究所 工学博士
2008-09~2012-06 北京理工大学计算机学院 工学学士
工作简历
2021-10~现在, 中国科学院计算技术研究所, 高级工程师
2018-07~2021-09,中国科学院计算技术研究所, 助理研究员
社会兼职
2024-10-01~现在，中国计算机学会, 高级会员
2024-08-16~现在，中国计算机学会，分布式计算与系统专委会, 执行委员
2025-03-28~现在，中国人工智能学会，具身智能专委会，委员
2025-12-08~现在，中国航空学会，计算与仿真分会，青年委员
科研动态
2026-09-27，一篇论文被IEEE TMC 接收，祝贺刘杭达同学和其他合作者！
2026-09-25，一篇论文被NeurIPS'26 接收，祝贺刘睿琦同学和其他合作者！
2026-09-24，受邀在中国宇航学会第27期“青聚沙龙”分享团队在低功耗智能计算与持续学习系统方向的研究进展。
2026-08-26，两篇论文被 PRICAI'26 接收，祝贺群超和大川！
2026-08-01，一篇AI4S综述文章被The Innovation 录用！
2026-07-10，两篇论文被PRCV'26 接收，祝贺润杰和睿琦！
2026-06-23，获评国科大杭州高等研究院优秀学位论文指导教师，很荣幸和优秀的同学们分享荣誉！
2026-05-31，一篇论文被IEEE TPAMI 录用，祝贺所有作者！
2026-02-21，三篇论文被CVPR'26 接收，祝贺安梓嘉同学和其他作者！
2025-12-08，受聘中国航空学会、计算与仿真分会青年委员，很荣幸能有机会与跨学科的专家学习交流。
2025-12-06，受邀在CCLD2025 大模型与智能计算论坛分享“资源受限环境下的持续学习技术及应用初探”报告。
2025-09-20，获ICCV'25 6th CLVision Challenge 高效持续学习挑战赛冠军，祝贺徐俊州等参赛同学！
2025-09-19，一篇论文被NeurIPS'25 接收，祝贺所有作者！
2025-07-10，团队获评2025年度中国指控学会技术发明一等奖（个人排名5/15)，祝贺所有获奖同事![链接]
2025-05-12，获IEEE AICAS 2025大模型软硬系统优化挑战赛，优胜奖，祝贺刘杭达等参赛同学！[链接]
2025-05-10，两篇论文被ICML'25 接收，祝贺所有作者！[链接1、链接2]
2025-04-15，一篇论文被Pattern Recognition 接收，祝贺刘睿琦同学和其他作者！[链接]
2025-02-18，两篇论文被CCGRID'25 接收，祝贺闫晨和徐俊州同学，以及其他作者！[链接1、链接2]
2025-02-05，一篇论文被IPDPS'25 接收，祝贺刘杭达同学和其他作者！[链接]
2024-12-21，一篇论文被ICASSP'25 接收，祝贺安梓嘉同学和其他作者！[链接]
2024-12-09，一篇论文被AAAI'25 接收，祝贺所有作者！[链接]
2024-09-26，一篇论文被NeurIPS'24 接收，祝贺刘睿琦同学和其他作者！[链接]
2024-07-23，获中国科学院稳定支持基础研究领域青年团队计划（YSBR-107-课题3）资助！
获奖情况
2026，国科大杭州高等研究院优秀学位论文指导教师
2025，ICCV'25 6th CLVision Challenge 高效持续学习挑战赛，冠军
2025，中国指挥与控制学会技术发明奖，一等奖
2025，IEEE AICAS 2025 Grand Challenge大模型软硬系统优化挑战赛，优胜奖（6th/295)
2020，中国指挥控制学会科技进步奖, 二等奖,
2019，2022中科院计算所优秀研究人员
2018，北京市优秀毕业生
代表性论文
[NeurIPS'26] RuiQi Liu, Boyu Diao*, Zijia An, Runjie Shao, Feixiang Ge, Zhulin An, Fei Wang, Yongjun Xu, Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning, 40th Annual Conference on Neural Information Processing Systems, 2026 （CCF-A）
[IEEE TMC] Hangda Liu, Boyu Diao*, Jiashuo Luo, Yitian He, Yu Yang, Wenxin Chen, Guobang Li, Xiaohui Peng, Yongjun Xu，E2Gensor: An Enhanced Elastic Graph-based Construction Tensor Compilation Method for On-device Deep Learning，IEEE TRANSACTIONS ON MOBILE COMPUTING， 2026（CCF-A）
[CVPR'26] Zijia An, Boyu Diao*, Ruiqi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu, Parameterized Prompt for Incremental Object Detection, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CCF-A)
[CVPR'26] Jiarui Zhao, Libo Huang, Xiangqi Li, Zhulin An, Chuanguang Yang, Yu Wang, Boyu Diao, Yongjun Xu, Representation-Steered Incremental Adapter-Tuning for Class-Incremental Learning with Pre-Trained Models, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CCF-A)
[CVPR'26] Wenjing Tang, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Yongjun Xu, EfficientVPR: Toward Efficient Visual Place Recognition via Scene-Aware Prompt Tuning and Adaptive Feature Enhancement, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 (CCF-A)
[PRCV'26] Runjie Shao, Boyu Diao*, Ruiqi Liu, Zijia An, Yongjun Xu, CBPNet: Continual Backpropagation Prompt Network for Parameter-Efficient Continual Learning, The 9th Chinese Conference on Pattern Recognition and Computer Vision, 2026 (CCF-C)
[PRCV'26] Ruiqi Liu, Boyu Diao, Zijia An, Libo Huang, Guobang Li, Yongjun Xu, Task-Adaptive Token Pruning for Efficient Class-Incremental Learning, The 9th Chinese Conference on Pattern Recognition and Computer Vision, 2026 (CCF-C)
[Innovation] Yongjun Xu, Zezhi Shao, Xin Liu, ......, Boyu Diao*, et al. AI for science: Progress, challenges, and perspectives, The Innovation, 2026 (JCR Q1)
[IEEE TPAMI] Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, , Michele Magno, , Yongjun Xu, Yingli Tian, and Tingwen Huang, MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026 (CCF-A, JCR Q1)
[PATTERN RECOGN] Ruiqi Liu, Boyu Diao*, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu, Low-redundancy Distillation for Continual Learning, Pattern Recognition, 2025 (CCF-B, JCR Q1)
[ICML'25] Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu, Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning, 42nd International Conference on Machine Learning, 2025 (CCF-A)
[ICML'25] Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno，Q-VDiT: Towards Accurate Quantization of Video-Generation Diffusion Transformers, 42nd International Conference on Machine Learning, 2025 (CCF-A)
[NeurIPS'25] Yisong Fu, Fei Wang, Zezhi Shao, Boyu Diao, Lin Wu, Zhulin An, Chengqing Yu, Yujie Li, Yongjun Xu，On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting，39th Annual Conference on Neural Information Processing Systems, 2025 （CCF-A）
[IPDPS'25] Hangda Liu, Boyu Diao*, Yu Yang, Wenxin Chen, Xiaohui Peng, Yongjun Xu, Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning, 39th IEEE International Parallel & Distributed Processing Symposium, 2025 (CCF-B)
[ICASSP'25] Zijia An, Boyu Diao*, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu, IOR: Inversed Objects Replay for Incremental Object Detection, 50th IEEE International Conference on Acoustics, Speech, and Signal Processing, 2025 (CCF-B)
[Innovation] Foundation models and intelligent decision-making: Progress, challenges, and perspectives. THE INNOVATION, 2025 (JCR Q1)
[CCGRID'25] Chen Yan, Boyu Diao*, Hangda Liu, Zhulin An, Yongjun Xu, A Nonlinear Hash-based Optimization Method for SpMV on GPUs, 25th IEEE international Symposium on Cluster, Cloud and Internet Computing, 2025 (CCF-C)
[CCGRID'25] Junzhou Xu, Boyu Diao*, Shaobo Zhao, Chengxiang Qi, Ruisheng Wang, Yongjun Xu, A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning, 25th IEEE international Symposium on Cluster, Cloud and Internet Computing, 2025 (CCF-C)
[AAAI'25] Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno, MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models, 39th Annual AAAI Conference on Artificial Intelligence,2025 (CCF-A)
[NeurIPS'24] Ruiqi Liu, Boyu Diao*, Libo Huang, Zijia An, Zhulin An, Yongjun Xu, Continual Learning in the Frequency Domain, 38th Annual Conference on Neural Information Processing Systems, 2024 （CCF-A）
[AAAI'24] Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu, eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation, 38th AAAI Conference on Artificial Intelligence, 2024. （CCF-A）
[CVPR'24] Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Han Yang, Boyu Diao, Yongjun Xu, CLIP-KD: A Comprehensive Study of Distilling CLIP Models, The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 （CCF-A）
[ACM MM'24] Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu, Relational diffusion distillation for efficient image generation. 32nd ACM International Conference on Multimedia, 2024 （CCF-A）
[JPDC] Lingfei Dai, Luqi Gong, Zhulin An, Yogjun Xu, Boyu Diao*, Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training, JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024 （CCF-B）
[CompJ] Hangda Liu, Boyu Diao*, Wenxin Chen, Yongjun Xu, A resource-aware workload scheduling method for unbalanced GEMMs on GPUs, The Computer Journal, 2024 （CCF-B）
[NPC'24] Wenxin Chen, Boyu Diao*, Hangda Liu, Ruisheng Wang, Yongjun Xu, DTuner: a Construction-based Optimization Method for Dynamic Tensor Operators Accelerating, 20th The IFIP International Conference on Network and Parallel Computing, 2024 （CCF-C）
[ICPR'24] Yu Yang, Boyu Diao*, Hangda Liu, Qiyun Chen, Qi Wang, Yongjun Xu, An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration, 27th International Conference on Pattern Recognition, 2024 （CCF-C）
[ICPR'24] Qiyun Chen, Boyu Diao*, Yu Yang, Yongjun Xu, SCP: A Structure Combination Pruning method via Structured Sparse for Deep Convolutional Neural Networks, 27th International Conference on Pattern Recognition, 2024 （CCF-C）
[CompJ] Dong Dong, Hongxu Jiang*, Boyu Diao*, AKGF: Automatic Kernel Generation for DNN on CPU-FPGA, The Computer Journal, 2023 (CCF-B)
[Innovation] Qi Wang, Tingting Li, Fei Wang, Boyu Diao, Lei Zheng, Jincai Huang, How to prevent malicious use of intelligent unmanned swarms?, THE INNOVATION, 2023 (JCR Q1)
[ICCV'23] Kelu Yao, Jin Wang, Boyu Diao, Chao Li, Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View, IEEE/CVF International Conference on Computer Vision, 2023 (CCF-A)
[IJCNN'22] Jianrong Xu, Boyu Diao*, Bifeng Cui, Kang Yang, Chao Li, Yongjun Xu, PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration, International Joint Conference on Neural Networks, 2022（CCF-C）
[AAAI'22] Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang, Interpretable Generative Adversarial Networks, The 36th AAAI Conference on Artificial Intelligence, 2022 （CCF-A）
发明专利
一种基于数据流分析的CUDA代码生成方法，专利号：2025101279072
一种基于哈希的稀疏矩阵向量乘法优化方法及装置 ，专利号：202411928085X
一种针对动态形状算子的编译优化方法，专利号：2024112825013
一种深度学习模型执行时间的评估方法，专利号：2023112039143
基于结构搜索和知识蒸馏的卷积神经网络模型压缩方法和装置，专利号：2023110731178
降低神经网络推理所需内存占用量的重计算方法和系统，专利号：2023112785238
一种用于恶劣环境的复杂光学图像增强方法、装置和介质 ，专利号：2023103267672
一种基于贪心策略反向通道剪枝的图像处理方法及装置，专利号：2023112573465
一种基于深度强化学习的集群任务调度方法及系统，专利号：2022113631779
一种轻量级多任务视频流实时推理方法及系统，专利号：2022113488713
一种自适应加速算子融合的方法及装置，专利号：2022114611908
基于CPU-GPU异构并行的地表形变反演方法与系统，专利号：2022107348852
一种边缘数据管理方法、介质、边缘服务器和系统, 专利号: 2020105889879
科研项目
跨学科寻优加速技术，负责人，中国科学院计划，2024-07~2029-06
嵌入式高性能可组合计算技术, 负责人, 国家任务, 2022-06~2025-07
嵌入式智能计算系统加速与优化，负责人，地方任务，2021-06~2022-12
智能迁移与部署技术, 参与, 国家任务, 2021-12~2025-12
端侧实时分析方法研究, 负责人, 国家任务, 2019-02~2022-01