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2020 – today
- 2024
[c23]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. ASPLOS (3) 2024: 916-931- [c22]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. EMNLP (Findings) 2024: 10456-10466 - [c21]Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin:
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. FlexScience@HPDC 2024: 34-41 - [c20]Miao Yin, Lei Tan, Ping Wang, Jinshuo Zhang, Xiuyang Zhao:
PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion. IJCNN 2024: 1-8 - [c19]Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin:
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. SC Workshops 2024: 300-308 - [i22]Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan:
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks. CoRR abs/2401.10341 (2024) - [i21]Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin:
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. CoRR abs/2404.13470 (2024) - [i20]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. CoRR abs/2404.13528 (2024) - [i19]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. CoRR abs/2409.05785 (2024) - [i18]Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin:
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. CoRR abs/2409.18295 (2024) - [i17]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. CoRR abs/2411.01016 (2024) - [i16]Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin:
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. CoRR abs/2411.06019 (2024) - [i15]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. CoRR abs/2411.12593 (2024) - 2023
- [j5]Mingshuo Liu, Miao Yin, Kevin Han, Ronald F. DeMara, Bo Yuan, Yu Bai:
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. Internet Things 22: 100680 (2023) - [j4]Jihua Cao, Jie Li, Miao Yin, Yunfeng Wang:
Online Reviews Sentiment Analysis and Product Feature Improvement with Deep Learning. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 203:1-203:17 (2023) - [j3]Lei Tan, Xue Lin, Dongmei Niu, Daole Wang, Miao Yin, Xiuyang Zhao:
Projected Generative Adversarial Network for Point Cloud Completion. IEEE Trans. Circuits Syst. Video Technol. 33(2): 771-781 (2023) - [c18]Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz:
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. AAAI 2023: 2065-2073 - [c17]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. AAAI 2023: 10464-10472 - [c16]Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan:
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer. AAAI 2023: 10954-10962 - [c15]Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan:
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. ICML 2023: 38125-38136 - [c14]Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan:
ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks. ISCA 2023: 68:1-68:13 - [c13]Xiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan:
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search. NeurIPS 2023 - [c12]Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao:
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. PPoPP 2023: 260-273 - [i14]Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan:
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer. CoRR abs/2301.05345 (2023) - [i13]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. CoRR abs/2301.09422 (2023) - [i12]Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan:
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. CoRR abs/2305.17235 (2023) - 2022
- [j2]Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Bo Yuan:
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition With Hierarchical Tucker Tensor Decomposition. IEEE Trans. Computers 71(12): 3101-3114 (2022) - [c11]Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan:
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. AAAI 2022: 8874-8882 - [c10]Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan:
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. CVPR 2022: 12289-12298 - [c9]Lei Tan, Daole Wang, Miao Yin, Ming Sun, Xiuyang Zhao, Xiangyu Kong:
A Graph Convolutional Network for Point Cloud Completion. ICCCV 2022: 16-21 - [c8]Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan:
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner. IROS 2022: 12492-12499 - [i11]Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan:
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner. CoRR abs/2208.11287 (2022) - [i10]Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao:
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. CoRR abs/2211.03715 (2022) - [i9]Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz:
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness. CoRR abs/2212.01957 (2022) - [i8]Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Yang Sui, Bo Yuan:
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition. CoRR abs/2212.02046 (2022) - 2021
- [j1]Feng Li, Zeyu Yan, Qingyuan Zhu, Miao Yin, Gang Kou:
Allocating a fixed cost across decision making units with explicitly considering efficiency rankings. J. Oper. Res. Soc. 72(6): 1432-1446 (2021) - [c7]Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. AAAI 2021: 8574-8582 - [c6]Miao Yin, Yang Sui, Siyu Liao, Bo Yuan:
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. CVPR 2021: 10674-10683 - [c5]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. CVPR 2021: 12085-12094 - [c4]Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman A. Zonouz, Bo Yuan:
CHIP: CHannel Independence-based Pruning for Compact Neural Networks. NeurIPS 2021: 24604-24616 - [i7]Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. CoRR abs/2102.03959 (2021) - [i6]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure. CoRR abs/2104.05758 (2021) - [i5]Miao Yin, Yang Sui, Siyu Liao, Bo Yuan:
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework. CoRR abs/2107.12422 (2021) - [i4]Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman A. Zonouz, Bo Yuan:
CHIP: CHannel Independence-based Pruning for Compact Neural Networks. CoRR abs/2110.13981 (2021) - 2020
- [i3]Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. CoRR abs/2005.04366 (2020)
2010 – 2019
- 2019
- [c3]Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu:
Tensor Super-resolution for Seismic Data. ICASSP 2019: 8598-8602 - [c2]Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan:
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. ICCAD 2019: 1-6 - [c1]Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong:
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. HBAI@IJCAI 2019: 209-223 - [i2]Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong:
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. CoRR abs/1901.09953 (2019) - 2017
- [i1]Feng Qian, Miao Yin, Mingjun Su, Yaojun Wang, Guangmin Hu:
Seismic facies recognition based on prestack data using deep convolutional autoencoder. CoRR abs/1704.02446 (2017)
Coauthor Index
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last updated on 2025-01-22 21:32 CET by the dblp team
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