Publications

(Students advised by Dr. Yin are underlined. *Co-first author.)

  1. [Preprint] Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin, "AdaCM2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction." arXiv Preprint, Nov. 2024. [PDF]
  2. [Preprint] Yangming Zhang*, Wenqi Jia*, Wei Niu, Miao Yin, "GaussianSpa: An “Optimizing-Sparsifying” Simplification Framework for Compact and High-Quality 3D Gaussian Splatting." arXiv Preprint, Nov. 2024. [PDF]
  3. [NeurIPS'24] Zhihao Shu*, Xiaowei Yu*, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu, "Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices." Thirty-eighth Conference on Neural Information Processing Systems, 2024. [PDF]
  4. [EMNLP'24 Findings] Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan, "MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition." The Conference on Empirical Methods in Natural Language Processing, 2024. [PDF]
  5. [DRBSD@SC'24] Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin, "Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications." The 10th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD), International Conference for High Performance Computing, Networking, Storage and Analysis, 2024. [PDF]
  6. [Preprint] Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin, "NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data." arXiv Preprint, Sep. 2024. [PDF]
  7. [FlexScience@HPDC'24] Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin, "GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data." AI and Scientific Computing at Scale using Flexible Computing Infrastructures (FlexScience), 33rd ACM Symposium on High-Performance Parallel and Distributed Computing, 2024. [PDF]
  8. [CAV@ASPLOS'24] Miao Yin*, Wei Niu*, "MobiTT: Speed-Oriented DNN Compression for Mobile with Tensor Train Decomposition." Compute Platforms for Autonomous Vehicles, 29th ACM Conference on Architectural Support for Programming Language and Operating Systems, 2024. [PDF]
  9. [ASPLOS'24] Wei Niu, Md Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren, "SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile." 29th ACM Conference on Architectural Support for Programming Languages and Operating Systems, 2024. [PDF]

    10. ========================================= Before Dr. Yin's PhD Graduation =========================================
  10. [NeurIPS'23] Xiao Zang, Miao Yin, et al., "GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search." Thirty-seventh Conference on Neural Information Processing Systems, 2023. [PDF]
  11. [ICML'23] Jinqi Xiao, Miao Yin, et al., "COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models." International Conference on Machine Learning, 2023. [PDF]
  12. [ISCA'23] Yu Gong*, Miao Yin*, et al., "ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks." The 50th International Symposium on Computer Architecture, 2023. [PDF]
  13. [PPoPP'23] Lizhi Xiang*, Miao Yin*, et al., "TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition." ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2023. [PDF]
  14. [AAAI'23] Huy Phan, Miao Yin, et al., "CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness." Thirty-seventh AAAI Conference on Artificial Intelligence, 2023. [PDF]
  15. [AAAI'23] Miao Yin, et al., "GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer." Thirty-seventh AAAI Conference on Artificial Intelligence, 2023. [PDF]
  16. [IROS'22] Xiao Zang, Miao Yin, et al., "Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner." IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022. [PDF]
  17. [CVPR'22] Miao Yin, et al., "HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [PDF]
  18. [AAAI'22] Miao Yin, et al., "BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition." Thirty-sixth AAAI Conference on Artificial Intelligence, 2022. [PDF]
  19. [TC'22] Yu Gong, Miao Yin, et al., "Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition." IEEE Transactions on Computers, 2022. [PDF]
  20. [NeurIPS'21] Yang Sui, Miao Yin, et al., "CHIP: CHannel Independence based Pruning for Compact Neural Networks." Thirty-fifth Conference on Neural Information Processing Systems, 2021. [PDF]
  21. [CVPR'21] Miao Yin, et al., "Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021. [PDF]
  22. [CVPR'21] Miao Yin, et al., "Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021. [PDF]
  23. [ICCAD'19] Chunhua Deng, Miao Yin, et al., "(Invited Paper) High-performance Hardware Architecture for Tensor Singular Value Decomposition." IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2019. [PDF]
  24. [Geophysics'18] Feng Qian, Miao Yin, et al., "Unsupervised Seismic Facies Analysis via Deep Convolutional Autoencoders." Geophysics, 83(3) A39-A43, 2018. [PDF]