Linear-Regression Model Based Wavelet Filter Evaluation for Image Compression. - Gaofeng Wei; Hongxu Jiang; Rui Yang (APWCS, 2010)

Optimized-SSIM Based Quantization in Optical Remote Sensing Image Compression. - Kai Yang; Hongxu Jiang (ICIG, 2011)

Remote-Sensing Image Compression Using Two-Dimensional Oriented Wavelet Transform. - Bo Li 006; Rui Yang; Hongxu Jiang (IEEE Trans. Geosci. Remote. Sens., 2011)

A high-throughput MQ coder architecture based on dependence extraction method. - Haiheng Cao; Yongfei Zhang; Hongxu Jiang (ICIP, 2014)

Visual Distortion Sensitivity Modeling for Spatially Adaptive Quantization in Remote Sensing Image Compression. - Yongfei Zhang; Haiheng Cao; Hongxu Jiang; Bo Li 006 (IEEE Geosci. Remote. Sens. Lett., 2014)

Memory-efficient high-speed VLSI implementation of multi-level discrete wavelet transform. - Yongfei Zhang; Haiheng Cao; Hongxu Jiang; Bo Li 006 (J. Vis. Commun. Image Represent., 2016)

An efficient Markov chain-based data prefetching for motion estimation of HEVC on multi-core DSPs. - Shiming Sun; Hongxu Jiang; Bo Li 006 (Multim. Tools Appl., 2016)

Efficient PCIe transmission for Multi-Channel video using dynamic splicing and conditional prefetching. - Tingshan Liu; Hongxu Jiang; Huiyong Li; Bo Li 006; Miyi Duan (Multim. Tools Appl., 2017)

A High-Performance and Hardware-Efficient PCIe Transmission for a Multi-Channel Video Using Command Caching and Dynamic Splicing on FPGA. - Hongxu Jiang; Shenglan Li; Huiyong Li; Tingshan Liu; Jinyuan Lu (J. Circuits Syst. Comput., 2018)

A hardware-efficient parallel architecture for real-time blob analysis based on run-length code. - Bingjie Li; Cunguang Zhang; Bo Li 006; Hongxu Jiang; Qizhi Xu (J. Real Time Image Process., 2018)

Highly Paralleled Low-Cost Embedded HEVC Video Encoder on TI KeyStone Multicore DSP. - Hongxu Jiang; Rui Fan 002; Yongfei Zhang; Gang Wang 023; Zhe Li 015 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Robustness-aware 2-bit quantization with real-time performance for neural network. - Xiaobin Li; Hongxu Jiang; Shuangxi Huang; Fangzheng Tian (CoRR, 2020)

SRQ: Self-Reference quantization scheme for lightweight neural network. - Xiaobin Li; Hongxu Jiang; Shuangxi Huang; Fangzheng Tian; Runhua Zhang 002; Dong Dong (DCC, 2021)

Optimal FPGA-oriented lightweight network architecture search under multi-objective constraints. - Xiaobin Li; Hongxu Jiang; Fangzheng Tian; Yonghua Zhang; Rui Miao; Donghuan Xu (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Real-Time Ship detection from Infrared Images Through Multi-feature Fusion. - Rui Miao; Hongxu Jiang; Fangzheng Tian; Xiaobin Li; Yonghua Zhang; Dong Dong (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Energy-Efficient CNNs Accelerator Implementation on FPGA with Optimized Storage and Dataflow. - Yonghua Zhang; Hongxu Jiang; Xiaobin Li; Rui Miao; Jinyan Nie; Yu Du (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Robustness-aware 2-bit quantization with real-time performance for neural network. - Xiaobin Li; Hongxu Jiang; Runhua Zhang 002; Fangzheng Tian; Shuangxi Huang; Donghuan Xu (Neurocomputing, 2021)

An Efficient Sparse CNNs Accelerator on FPGA. - Yonghua Zhang; Hongxu Jiang; Xiaobin Li; Haojie Wang; Dong Dong; Yongxiang Cao (CLUSTER, 2022)

CNNBooster: Accelerating CNN Inference with Latency-aware Channel Pruning for GPU. - Yuting Zhu; Hongxu Jiang; Runhua Zhang 002; Yonghua Zhang; Dong Dong (ISPA/BDCloud/SocialCom/SustainCom, 2022)

Robust Ship Detection in Infrared Images through Multiscale Feature Extraction and Lightweight CNN. - Rui Miao; Hongxu Jiang; Fangzheng Tian (Sensors, 2022)

Human-Centric Spatio-Temporal Video Grounding With Visual Transformers. - Zongheng Tang; Yue Liao; Si Liu 001; Guanbin Li; Xiaojie Jin; Hongxu Jiang; Qian Yu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

High anti-interference and FPGA-oriented method for real-time ship detection based on structured LBP features. - Rui Miao; Hongxu Jiang; Fangzheng Tian; Xiaobin Li (J. Supercomput., 2022)

High-efficient MPSoC-based CNNs accelerator with optimized storage and dataflow. - Yonghua Zhang; Hongxu Jiang; Xiaojian Liu; Haiheng Cao; Yu Du (J. Supercomput., 2022)

Xenos : Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. - Runhua Zhang 002; Hongxu Jiang; Fangzheng Tian; Jinkun Geng; Xiaobin Li; Yuhang Ma; Chenhui Zhu; Dong Dong; Xin Li; Haojie Wang (DASFAA (1), 2023)

Subgraph Mapping Optimization Methods for Domain-Specific Architectures. - Dong Dong; Hongxu Jiang (HPCC/DSS/SmartCity/DependSys, 2023)

Caching Hybrid Rotation: A Memory Access Optimization Method for CNN on FPGA. - Dong Dong; Hongxu Jiang; Xuekai Wei (J. Circuits Syst. Comput., 2023)

LOCP: Latency-optimized channel pruning for CNN inference acceleration on GPUs. - Yonghua Zhang; Hongxu Jiang; Yuting Zhu; Runhua Zhang 002; Yongxiang Cao; Chenhui Zhu; Wei Wang; Dong Dong; Xiaobin Li (J. Supercomput., 2023)

PCGC: a performance compact graph compiler based on multilevel fusion-splitting rules. - Dong Dong; Hongxu Jiang; Hanqun Lin; Yanfei Song (J. Supercomput., 2023)

ETNAS: An energy consumption task-driven neural architecture search. - Dong Dong; Hongxu Jiang; Xuekai Wei; Yanfei Song; Xu Zhuang; Jason Wang (Sustain. Comput. Informatics Syst., 2023)

Compression Format and Systolic Array Structure Co-design for Accelerating Sparse Matrix Multiplication in DNNs. - Yongxiang Cao; Jixiang Jiang; Guocheng Zhao; Wei Wang; Hongxu Jiang; Yanfei Song (ICA3PP (4), 2024)

A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention. - Amarjeet Kumar; Hongxu Jiang; Muhammad Imran 013; Cyndi Valdes; Gabriela Leon; Dahyun Kang; Parvathi Nataraj; Yuyin Zhou; Michael D. Weiss; Wei Shao 008 (Comput. Biol. Medicine, 2024)

AKGF: Automatic Kernel Generation for DNN on CPU-FPGA. - Dong Dong; Hongxu Jiang; Boyu Diao (Comput. J., 2024)

MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images. - Hongxu Jiang; Muhammad Imran 013; Preethika Muralidharan; Anjali Patel; Jake Pensa; Muxuan Liang; Tarik Benidir; Joseph R. Grajo; Jason P. Joseph; Russell Terry; John Michael DiBianco; Li-Ming Su; et al. (Comput. Medical Imaging Graph., 2024)

SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration. - Yanfei Song; Bangzheng Pu; Peng Wang; Hongxu Jiang; Dong Dong; Yongxiang Cao; Yiqing Shen 003 (CoRR, 2024)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation. - Hongxu Jiang; Muhammad Imran 013; Linhai Ma; Teng Zhang; Yuyin Zhou; Muxuan Liang; Kuang Gong; Wei Shao 008 (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

A high-performance dataflow-centric optimization framework for deep learning inference on the edge. - Runhua Zhang 002; Hongxu Jiang; Jinkun Geng; Fangzheng Tian; Yuhang Ma; Haojie Wang (J. Syst. Archit., 2024)

LFSimCC: Spatial fusion lightweight network for human pose estimation. - Qian Zheng; Hualing Guo; Yunhua Yin; Bin Zheng; Hongxu Jiang (J. Vis. Commun. Image Represent., 2024)

SparDR: Accelerating Unstructured Sparse DNN Inference via Dataflow Optimization. - Wei Wang; Hongxu Jiang; Runhua Zhang 002; Yongxiang Cao; Yaochen Han (DATE, 2025)

JOVS: Joint Optimization of Vectorization and Scheduling for DNN on AI DSPs. - Yaochen Han; Hongxu Jiang; Runhua Zhang 002; Rui She 001 (SPAA, 2025)

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]. - Runhua Zhang 002; Hongxu Jiang; Jinkun Geng; Yuhang Ma; Chenhui Zhu; Haojie Wang (CoRR, 2025)

Geodesic Diffusion Models for Medical Image-to-Image Generation. - Teng Zhang; Hongxu Jiang; Kuang Gong; Wei Shao 008 (CoRR, 2025)