Boyu Diao

According to our database, Boyu Diao authored at least 41 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation.

Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang

CoRR, July, 2025

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers.

Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno

CoRR, May, 2025

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.

Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng

CoRR, May, 2025

PrePrompt: Predictive prompting for class incremental learning.

Libo Huang, Zhulin An, Chuanguang Yang, Boyu Diao, Fei Wang, Yan Zeng, Zhifeng Hao, Yong-Jun Xu

CoRR, May, 2025

A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning.

Junzhou Xu, Boyu Diao

CoRR, May, 2025

A Nonlinear Hash-based Optimization Method for SpMV on GPUs.

Chen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu

CoRR, April, 2025

Efficient Continual Learning through Frequency Decomposition and Integration.

Ruiqi Liu, Boyu Diao, Libo Huang, Hangda Liu, Chuanguang Yang, Zhulin An, Yongjun Xu

CoRR, March, 2025

Low-redundancy distillation for continual learning.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu

Pattern Recognit., 2025

A resource-aware workload scheduling method for unbalanced GEMMs on GPUs.

Hangda Liu, Boyu Diao, Wenxin Chen, Yongjun Xu

Comput. J., 2025

Gensor: A Graph-Based Construction Tensor Compilation Method for Deep Learning.

Hangda Liu, Boyu Diao, Yu Yang, Wenxin Chen, Xiaohui Peng, Yongjun Xu

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

IOR: Inversed Objects Replay for Incremental Object Detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models.

Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training.

Li-Rong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao

J. Parallel Distributed Comput., March, 2024

EGOR: Efficient Generated Objects Replay for incremental object detection.

Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu

CoRR, 2024

AKGF: Automatic Kernel Generation for DNN on CPU-FPGA.

Dong Dong, Hongxu Jiang, Boyu Diao

Comput. J., 2024

DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating.

Wenxin Chen, Boyu Diao, Hangda Liu, Ruisheng Wang, Yongjun Xu

Proceedings of the Network and Parallel Computing, 2024

Continual Learning in the Frequency Domain.

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Relational Diffusion Distillation for Efficient Image Generation.

Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration.

Yu Yang, Boyu Diao, Hangda Liu, Qiyun Chen, Qi Wang, Yongjun Xu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks.

Qiyun Chen, Boyu Diao, Yu Yang, Yongjun Xu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

CLIP-KD: An Empirical Study of CLIP Model Distillation.

Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network.

Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu

CoRR, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation.

Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

CoRR, 2023

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat.

Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View.

Kelu Yao, Jin Wang, Boyu Diao, Chao Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration.

Jianrong Xu, Boyu Diao, Bifeng Cui, Kang Yang, Chao Li, Hailong Hong

Proceedings of the International Joint Conference on Neural Networks, 2022

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks.

Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Interpretable Generative Adversarial Networks.

Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration.

LingFei Dai, Boyu Diao, Chao Li, Yongjun Xu

CoRR, 2021

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks.

Boyu Diao, Chao Li, Qi Wang, Zhulin An, Yongjun Xu

CoRR, 2021

2020

Data Security and Privacy Challenges of Computing Offloading in FINs.

Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu

IEEE Netw., 2020

2019

Gated Convolutional Networks with Hybrid Connectivity for Image Classification.

Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu

CoRR, 2019

MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs.

Chao Li, Yida Xu, Yongjun Xu, Boyu Diao, Zhulin An

IEEE Access, 2019

Multi-objective Pruning for CNNs Using Genetic Algorithm.

Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

L0 Regularization based Fine-grained Neural Network Pruning Method.

Qixin Xie, Chao Li, Boyu Diao, Zhulin An, Yongjun Xu

Proceedings of the 11th International Conference on Electronics, 2019

PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks.

Yida Xu, Qi Wang, Jianmin Liu, Chentao He, Boyu Diao, Yongjun Xu

Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 2019

2016

A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks.

Boyu Diao, Yongjun Xu, Qi Wang, Zhao Chen, Chao Li, Zhulin An, Guangjie Han

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

2015

Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks.

Boyu Diao, Yongjun Xu, Zhulin An, Fei Wang, Chao Li

Int. J. Distributed Sens. Networks, 2015

Vessel trajectory partitioning based on hierarchical fusion of position data.

Xianbin Wu, Lin Wu, Yongjun Xu, Zhulin An, Boyu Diao

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks.

Fei Wang, Yujun Zhang, Yongjun Xu, Lin Wu, Boyu Diao

Proceedings of the International Conference on Computing, Networking and Communications, 2014