Miao Yin

63 papers A* 15A 4B 2Misc 1Journal 34Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoSA: Compressed Sensing-Based Adaptation of Large Language Models.
CoRR
Songtao Wei, Yi Li, Bohan Zhang, Zhichun Guo, Ying Huang, Yuede Ji, Miao Yin, Guanpeng Li, Bingzhe Li
2026 J jnl
Event-VStream: Event-Driven Real-Time Understanding for Long Video Streams.
CoRR
Zhenghui Guo, Yuanbin Man, Junyuan Sheng, Bowen Lin, Ahmed Ahmed, Bo Jiang, Boyuan Zhang, Miao Yin, Sian Jin, Omprakash Gnawal, Chengming Zhang
2026 — conf
FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations.
ASPLOS (2)
Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026 J jnl
FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations.
CoRR
Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu
2026 J jnl
Turbo4DGen: Ultra-Fast Acceleration for 4D Generation.
CoRR
Yuanbin Man, Ying Huang, Zhile Ren, Miao Yin
2025 A* conf
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction.
CVPR
Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin
2025 J jnl
AdaRing: Towards Ultra-Light Vision-Language Adaptation via Cross-Layer Tensor Ring Decomposition.
CoRR
Ying Huang, Yuanbin Man, Wenqi Jia, Zhengzhong Tu, Junzhou Huang, Miao Yin
2025 A conf
Advancing Scientific Data Compression via Cross-Field Prediction.
HPDC
Youyuan Liu, Wenqi Jia, Taolue Yang, Bo Jiang, Miao Yin, Sian Jin
2025 J jnl
Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs.
IEEE Trans. Neural Networks Learn. Syst.
Yang Sui, Miao Yin, Yu Gong, Bo Yuan
2025 J jnl
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression.
CoRR
Wenqi Jia, Ying Huang, Jian Xu, Zhewen Hu, Sian Jin, Jiannan Tian, Yuede Ji, Miao Yin
2025 A* conf
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting.
CVPR
Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin
2025 A conf
NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression.
ICS
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 J jnl
AdaCM
CoRR
Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin
2024 J jnl
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.
CoRR
Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan
2024 — conf
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications.
SC Workshops
Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin
2024 J jnl
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications.
CoRR
Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin
2024 — conf
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
FlexScience@HPDC
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
CoRR
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting.
CoRR
Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin
2024 J jnl
MoE-I
CoRR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan
2024 — conf
MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.
EMNLP (Findings)
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan
2024 J jnl
NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data.
CoRR
Wenqi Jia, Youyuan Liu, Zhewen Hu, Jinzhen Wang, Boyuan Zhang, Wei Niu, Junzhou Huang, Stavros Kalafatis, Sian Jin, Miao Yin
2024 B conf
PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion.
IJCNN
Miao Yin, Lei Tan, Ping Wang, Jinshuo Zhang, Xiuyang Zhao
2024 A* conf
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices.
NeurIPS
Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu
2024 — conf
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
ASPLOS (3)
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024 J jnl
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
CoRR
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2023 J jnl
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train.
Internet Things
Mingshuo Liu, Miao Yin, Kevin Han, Ronald F. DeMara, Bo Yuan, Yu Bai
2023 A* conf
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.
ICML
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan
2023 J jnl
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.
CoRR
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan
2023 A* conf
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness.
AAAI
Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz
2023 A* conf
ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks.
ISCA
Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan
2023 A* conf
GOHSP: A Unified Framework of Graph and Optimization-Based Heterogeneous Structured Pruning for Vision Transformer.
AAAI
Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
2023 J jnl
GOHSP: A Unified Framework of Graph and Optimization-based Heterogeneous Structured Pruning for Vision Transformer.
CoRR
Miao Yin, Burak Uzkent, Yilin Shen, Hongxia Jin, Bo Yuan
2023 A* conf
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search.
NeurIPS
Xiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan
2023 A* conf
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
AAAI
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
CoRR
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
Online Reviews Sentiment Analysis and Product Feature Improvement with Deep Learning.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Jihua Cao, Jie Li, Miao Yin, Yunfeng Wang
2023 J jnl
Projected Generative Adversarial Network for Point Cloud Completion.
IEEE Trans. Circuits Syst. Video Technol.
Lei Tan, Xue Lin, Dongmei Niu, Daole Wang, Miao Yin, Xiuyang Zhao
2023 B conf
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
PPoPP
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2022 — conf
A Graph Convolutional Network for Point Cloud Completion.
ICCCV
Lei Tan, Daole Wang, Miao Yin, Ming Sun, Xiuyang Zhao, Xiangyu Kong
2022 J jnl
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition With Hierarchical Tucker Tensor Decomposition.
IEEE Trans. Computers
Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Bo Yuan
2022 J jnl
Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition.
CoRR
Yu Gong, Miao Yin, Lingyi Huang, Chunhua Deng, Yang Sui, Bo Yuan
2022 A* conf
BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition.
AAAI
Miao Yin, Huy Phan, Xiao Zang, Siyu Liao, Bo Yuan
2022 J jnl
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness.
CoRR
Huy Phan, Miao Yin, Yang Sui, Bo Yuan, Saman A. Zonouz
2022 A* conf
HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks.
CVPR
Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan
2022 A conf
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner.
IROS
Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan
2022 J jnl
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner.
CoRR
Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan
2022 J jnl
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
CoRR
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2021 J jnl
Allocating a fixed cost across decision making units with explicitly considering efficiency rankings.
J. Oper. Res. Soc.
Feng Li, Zeyu Yan, Qingyuan Zhu, Miao Yin, Gang Kou
2021 A* conf
CHIP: CHannel Independence-based Pruning for Compact Neural Networks.
NeurIPS
Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman A. Zonouz, Bo Yuan
2021 J jnl
CHIP: CHannel Independence-based Pruning for Compact Neural Networks.
CoRR
Yang Sui, Miao Yin, Yi Xie, Huy Phan, Saman A. Zonouz, Bo Yuan
2021 A* conf
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding.
AAAI
Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan
2021 J jnl
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding.
CoRR
Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan
2021 A* conf
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework.
CVPR
Miao Yin, Yang Sui, Siyu Liao, Bo Yuan
2021 J jnl
Towards Efficient Tensor Decomposition-Based DNN Model Compression with Optimization Framework.
CoRR
Miao Yin, Yang Sui, Siyu Liao, Bo Yuan
2021 A* conf
Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure.
CVPR
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2021 J jnl
Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure.
CoRR
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2020 J jnl
Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition.
CoRR
Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2019 A conf
High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper.
ICCAD
Chunhua Deng, Miao Yin, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan
2019 J jnl
TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation.
CoRR
Zihan Ding, Xiao-Yang Liu, Miao Yin, Wei Liu, Linghe Kong
2019 — conf
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.
HBAI@IJCAI
Zihan Ding, Xiao-Yang Liu, Miao Yin, Linghe Kong
2019 Misc conf
Tensor Super-resolution for Seismic Data.
ICASSP
Songjie Liao, Xiao-Yang Liu, Feng Qian, Miao Yin, Guangmin Hu
2017 J jnl
Seismic facies recognition based on prestack data using deep convolutional autoencoder.
CoRR
Feng Qian, Miao Yin, Mingjun Su, Yaojun Wang, Guangmin Hu