Seismic facies recognition based on prestack data using deep convolutional autoencoder. - Feng Qian 005; Miao Yin; Mingjun Su; Yaojun Wang; Guangmin Hu (CoRR, 2017)

Tensor Super-resolution for Seismic Data. - Songjie Liao; Xiao-Yang Liu; Feng Qian 005; Miao Yin; Guangmin Hu (ICASSP, 2019)

High-performance Hardware Architecture for Tensor Singular Value Decomposition: Invited Paper. - Chunhua Deng; Miao Yin; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (ICCAD, 2019)

Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach. - Zihan Ding; Xiao-Yang Liu; Miao Yin; Linghe Kong (HBAI@IJCAI, 2019)

TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation. - Zihan Ding; Xiao-Yang Liu; Miao Yin; Wei Liu; Linghe Kong (CoRR, 2019)

Compressing Recurrent Neural Networks Using Hierarchical Tucker Tensor Decomposition. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (CoRR, 2020)

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. - Siyu Liao; Chunhua Deng; Miao Yin; Bo Yuan 001 (AAAI, 2021)

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. - Miao Yin; Siyu Liao; Xiao-Yang Liu; Xiaodong Wang 001; Bo Yuan 001 (CVPR, 2021)

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. - Miao Yin; Yang Sui; Siyu Liao; Bo Yuan 001 (CVPR, 2021)

CHIP: CHannel Independence-based Pruning for Compact Neural Networks. - Yang Sui; Miao Yin; Yi Xie 001; Huy Phan; Saman A. Zonouz; Bo Yuan 001 (NeurIPS, 2021)

Allocating a fixed cost across decision making units with explicitly considering efficiency rankings. - Feng Li 010; Zeyu Yan; Qingyuan Zhu; Miao Yin; Gang Kou (J. Oper. Res. Soc., 2021)

BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition. - Miao Yin; Huy Phan; Xiao Zang; Siyu Liao; Bo Yuan 001 (AAAI, 2022)

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. - Miao Yin; Yang Sui; Wanzhao Yang; Xiao Zang; Yu Gong; Bo Yuan 001 (CVPR, 2022)

A Graph Convolutional Network for Point Cloud Completion. - Lei Tan; Daole Wang; Miao Yin; Ming Sun; Xiuyang Zhao; Xiangyu Kong (ICCCV, 2022)

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 001 (IROS, 2022)

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition. - Yu Gong; Miao Yin; Lingyi Huang; Chunhua Deng; Yang Sui; Bo Yuan 001 (CoRR, 2022)

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition With Hierarchical Tucker Tensor Decomposition. - Yu Gong; Miao Yin; Lingyi Huang; Chunhua Deng; Bo Yuan 001 (IEEE Trans. Computers, 2022)

CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness. - Huy Phan; Miao Yin; Yang Sui; Bo Yuan 001; Saman A. Zonouz (AAAI, 2023)

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. - Jinqi Xiao; Chengming Zhang 006; Yu Gong; Miao Yin; Yang Sui; Lizhi Xiang; Dingwen Tao; Bo Yuan 001 (AAAI, 2023)

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 001 (AAAI, 2023)

COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. - Jinqi Xiao; Miao Yin; Yu Gong; Xiao Zang; Jian Ren 005; Bo Yuan 001 (ICML, 2023)

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 001 (ISCA, 2023)

GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search. - Xiao Zang; Miao Yin; Jinqi Xiao; Saman A. Zonouz; Bo Yuan 001 (NeurIPS, 2023)

TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. - Lizhi Xiang; Miao Yin; Chengming Zhang 006; Aravind Sukumaran-Rajam; P. Sadayappan; Bo Yuan 001; Dingwen Tao (PPoPP, 2023)

Projected Generative Adversarial Network for Point Cloud Completion. - Lei Tan; Xue Lin 008; Dongmei Niu; Daole Wang; Miao Yin; Xiuyang Zhao (IEEE Trans. Circuits Syst. Video Technol., 2023)

Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. - Mingshuo Liu; Miao Yin; Kevin Han; Ronald F. DeMara; Bo Yuan 001; Yu Bai 004 (Internet Things, 2023)

Online Reviews Sentiment Analysis and Product Feature Improvement with Deep Learning. - Jihua Cao; Jie Li; Miao Yin; Yunfeng Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. - Wei Niu 002; Md. Musfiqur Rahman Sanim; Zhihao Shu; Jiexiong Guan; Xipeng Shen; Miao Yin; Gagan Agrawal; Bin Ren (ASPLOS (3), 2024)

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Cheng Yang 013; Yang Sui; Jinqi Xiao; Lingyi Huang; Yu Gong; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (EMNLP (Findings), 2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. - Wenqi Jia 003; Sian Jin; Jinzhen Wang; Wei Niu 002; Dingwen Tao; Miao Yin (FlexScience@HPDC, 2024)

PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion. - Miao Yin; Lei Tan; Ping Wang; Jinshuo Zhang; Xiuyang Zhao (IJCNN, 2024)

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices. - Zhihao Shu; Xiaowei Yu; Zihao Wu 001; Wenqi Jia 003; Yinchen Shi; Miao Yin; Tianming Liu 001; Dajiang Zhu; Wei Niu 002 (NeurIPS, 2024)

Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. - Youyuan Liu; Wenqi Jia 003; Taolue Yang; Miao Yin; Sian Jin (SC Workshops, 2024)

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks. - Yang Sui; Miao Yin; Yu Gong; Jinqi Xiao; Huy Phan; Bo Yuan 001 (CoRR, 2024)

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. - Wenqi Jia 003; Youyuan Liu; Zhewen Hu; Jinzhen Wang; Boyuan Zhang; Wei Niu 002; Junzhou Huang; Stavros Kalafatis; Sian Jin; Miao Yin (CoRR, 2024)

MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Cheng Yang 013; Yang Sui; Jinqi Xiao; Lingyi Huang; Yu Gong; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (CoRR, 2024)

AdaCM2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CoRR, 2024)

AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. - Yuanbin Man; Ying Huang 008; Chengming Zhang 006; Bingzhe Li; Wei Niu 002; Miao Yin (CVPR, 2025)

GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. - Yangming Zhang; Wenqi Jia 003; Wei Niu 002; Miao Yin (CVPR, 2025)

Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs. - Yang Sui; Miao Yin; Yu Gong; Bo Yuan 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression. - Wenqi Jia 003; Ying Huang 008; Jian Xu; Zhewen Hu; Sian Jin; Jiannan Tian; Yuede Ji; Miao Yin (CoRR, 2025)

AdaRing: Towards Ultra-Light Vision-Language Adaptation via Cross-Layer Tensor Ring Decomposition. - Ying Huang 008; Yuanbin Man; Wenqi Jia 003; Zhengzhong Tu; Junzhou Huang; Miao Yin (CoRR, 2025)