| 2026 | ASPLOS | FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations. | Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu |
| 2025 | CVPR | AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. | Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin |
| 2025 | CVPR | GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. | Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin |
| 2025 | HPDC | Advancing Scientific Data Compression via Cross-Field Prediction. | Youyuan Liu, Wenqi Jia, Taolue Yang, Bo Jiang, Miao Yin, Sian Jin |
| 2025 | ICS | NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. | Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin |
| 2024 | ASPLOS | SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. | Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren |
| 2024 | EMNLP | MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. | Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan |
| 2024 | IJCNN | PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion. | Miao Yin, Lei Tan, Ping Wang, Jinshuo Zhang, Xiuyang Zhao |
| 2024 | SC | Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. | Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin |
| 2023 | AAAI | CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. | Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz |
| 2023 | AAAI | HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. | Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan |
| 2023 | AAAI | GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. | Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan |
| 2023 | ICML | COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. | Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan |
| 2023 | ISCA | ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks. | Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan |
| 2023 | PPoPP | TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. | Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao |
| 2022 | AAAI | BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. | Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan |
| 2022 | CVPR | HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. | Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan |
| 2022 | IROS | Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner. | Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan |
| 2021 | AAAI | Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. | Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan |
| 2021 | CVPR | Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. | Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan |
| 2021 | CVPR | Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. | Miao Yin, Yang Sui, Siyu Liao, Bo Yuan |
| 2019 | ICASSP | Tensor Super-resolution for Seismic Data. | Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu |
| 2019 | ICCAD | High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. | Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan |
| 2019 | IJCAI | Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. | Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong |