General

Dr. Boyu Diao is currently an Associate Professor at the Institute of Computing Technology, Chinese Academy of Sciences (ICT CAS). In 2012, he graduated from Beijing Institute of Technology, earning a Bachelor of Engineering degree in Computer Science. Subsequently, in 2018, he obtained his Ph.D. in Computer Architecture from ICT CAS.

He leads a research team dedicated to Efficient Machine Learning Systems. His primary research interests encompass the co-design of algorithms and hardware for efficient deep learning, deep learning compilers, and on-device learning systems, etc.


Research Areas

Efficient Machine Learning Systems, On-Device Learning Systems, Edge Intelligence


Publications

Selected Papers

  1. [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)

  2. [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)

  3. [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)

  4. [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)

  5. [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)

  6. [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）

  7. [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）

  8. [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）

  9. [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）

  10. [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）

  11. [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）

  12. [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）

  13. [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）

  14. [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）

  15. [CompJ] Dong Dong, Hongxu Jiang*, Boyu Diao*, AKGF: Automatic Kernel Generation for DNN on CPU-FPGA, The Computer Journal, 2023 (CCF-B)

  16. [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 (IF:33.2) 

  17. [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)

  18. [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）

  19. [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）