| 2026 | HPDC | Group-TopK: Optimizing Distributed Training on Edge Devices via Communication Compression. | Yifan Wang, Xiaohui Peng, Haohao Ma, Hui Sun, Deke Guo, Boyu Diao |
| 2025 | AAAI | 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 |
| 2025 | CCGRID | A Sensitivity-Driven Expert Allocation Method in LoRA-MoE for Efficient Fine-Tuning. | Junzhou Xu, Boyu Diao, Chengqiang Qi, Shaobo Zhao, Ruisheng Wang, Yongjun Xu |
| 2025 | CCGRID | A Nonlinear Hash-Based Optimization Method for SpMV on GPUs. | Chen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu |
| 2025 | ICASSP | IOR: Inversed Objects Replay for Incremental Object Detection. | Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu |
| 2025 | ICML | 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 |
| 2025 | ICML | Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning. | Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu |
| 2025 | KDD | 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 |
| 2024 | AAAI | eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. | Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu |
| 2024 | CVPR | 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 |
| 2024 | ICPR | SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks. | Qiyun Chen, Boyu Diao, Yu Yang, Yongjun Xu |
| 2024 | ICPR | 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 |
| 2024 | NPC | DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating. | Wenxin Chen, Boyu Diao, Hangda Liu, Ruisheng Wang, Yongjun Xu |
| 2023 | ICCV | Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View. | Kelu Yao, Jin Wang, Boyu Diao, Chao Li |
| 2023 | WWW | 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 |
| 2022 | AAAI | Interpretable Generative Adversarial Networks. | Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang |
| 2022 | ICANN | Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. | Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li |
| 2022 | IJCNN | Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. | Jianrong Xu, Boyu Diao, Bifeng Cui, Kang Yang, Chao Li, Hailong Hong |
| 2019 | APNOMS | 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 |
| 2019 | ICANN | Multi-objective Pruning for CNNs Using Genetic Algorithm. | Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu |
| 2016 | ICPADS | 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 |
| 2015 | FUSION | Vessel trajectory partitioning based on hierarchical fusion of position data. | Xianbin Wu, Lin Wu, Yongjun Xu, Zhulin An, Boyu Diao |