Miao Yin
Orcid: 0000-0002-5554-5417
According to our database1,
Miao Yin
authored at least 35 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
MoE-I<sup>2</sup>: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.
CoRR, 2024
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications.
CoRR, 2024
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data.
CoRR, 2024
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024
MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024
2023
Online Reviews Sentiment Analysis and Product Feature Improvement with Deep Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train.
Internet Things, July, 2023
IEEE Trans. Circuits Syst. Video Technol., February, 2023
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.
Proceedings of the International Conference on Machine Learning, 2023
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition With Hierarchical Tucker Tensor Decomposition.
IEEE Trans. Computers, 2022
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition.
CoRR, 2022
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 The 5th International Conference on Control and Computer Vision, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Allocating a fixed cost across decision making units with explicitly considering efficiency rankings.
J. Oper. Res. Soc., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition.
CoRR, 2020
2019
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper.
Proceedings of the International Conference on Computer-Aided Design, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2017
Seismic facies recognition based on prestack data using deep convolutional autoencoder.
CoRR, 2017