DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
Jiajun Luo, Lizhuo Luo, Jianru Xu, Jiajun Song, Rongwei Lu, Zhi Wang
[ICCV'25], IEEE/CVF International Conference on Computer Vision , 2025 [Arxiv] [BibTeX]

@misc{luo2025stalenesscentricoptimizationsparalleldiffusion,
      title={Staleness-Centric Optimizations for Parallel Diffusion MoE Inference}, 
      author={Jiajun Luo and Lizhuo Luo and Jianru Xu and Jiajun Song and Rongwei Lu and Chen Tang and Zhi Wang},
      year={2025},
      eprint={2411.16786},
      archivePrefix={arXiv},
      primaryClass={cs.DC},
      url={https://arxiv.org/abs/2411.16786}
    }

Llm4band: Enhancing reinforcement learning with large language models for accurate bandwidth estimation
Zhijian Wang, Rongwei Lu, Zhiyang Zhang, Cedric Westphal, Dongbiao He, Jingyan Jiang
[NOSSDAV'25], Proceedings of the 35th Workshop on Network and Operating System Support for Digital Audio and Video , 2025

γ-FedHT: Stepsize-Aware Adaptive Hard-Threshold Gradient Compression in Federated Learning
Rongwei Lu,Yutong Jiang, Jinrui Zhang, Mingzhou Wu, Chen Tang, Bin Chen and Zhi Wang
[INFOCOM'25], IEEE International Conference on Computer Communications, 2024 [Project] [Arxiv] [BibTeX]

@inproceedings{lu2025fedht,
              title={$gamma $-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning},
              author={Lu, Rongwei and Jiang, Yutong and Zhang, Jinrui and Li, Chunyang and Zhu, Yifei and Chen, Bin and Wang, Zhi},
              booktitle={IEEE INFOCOM 2025},
              year={2025}
            }

MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang
[ECCV'24] European Conference on Computer Vision, 2024 [PDF] [Supp] [Project] [Poster] [Code]

RFQuant: Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
Chen Tang*, Yuan Meng*, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
[CVPR'24] IEEE Conference on Computer Vision and Pattern Recognition, 2024 [PDF] [Supp] [Poster] [Code] [BibTeX]

@inproceedings{tang2024retraining,
              title={Retraining-free model quantization via one-shot weight-coupling learning},
              author={Tang, Chen and Meng, Yuan and Jiang, Jiacheng and Xie, Shuzhao and Lu, Rongwei and Ma, Xinzhu and Wang, Zhi and Zhu, Wenwu},
              booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
              pages={15855--15865},
              year={2024}
            }

DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing
Rongwei Lu,Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui and Zhi Wang
[IEEE TMC] IEEE Transactions on Mobile Computing, 2024 [Project] [PDF] [Supp] [Code] [BibTeX]

@article{lu2024dagc,
title={Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing},
author={Lu, Rongwei and Jiang, Yutong and Mao, Yinan and Tang, Chen and Chen, Bin and Cui, Laizhong and Wang, Zhi},
journal={IEEE Transactions on Mobile Computing},
year={2024},
publisher={IEEE}
}

DAGC: Data-aware Adaptive Gradient Compression
Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui and Zhi Wang
[INFOCOM'23], International Conference on Computer Communications , 2023 [PDF] [BibTeX]

@inproceedings{lu2023dagc,
title={Dagc: Data-aware adaptive gradient compression},
author={Lu, Rongwei and Song, Jiajun and Chen, Bin and Cui, Laizhong and Wang, Zhi},
booktitle={IEEE INFOCOM 2023-IEEE Conference on Computer Communications},
pages={1--10},
year={2023},
organization={IEEE}
}