Studies on Modeling of E-Commerce Material Flow and Supply Chain Based on Petri Net. - Xuhua Pan; Yan Zhang; Shuhao Jiang; Xiaoqin Su (CSIE (2), 2009)

Exploiting the Potential of Computation Reuse Through Approximate Computing. - Xin He; Shuhao Jiang; Wenyan Lu; Guihai Yan; Yinhe Han 001; Xiaowei Li 001 (IEEE Trans. Multi Scale Comput. Syst., 2017)

RiskCap: Minimizing Effort of Error Regulation for Approximate Computing. - Shuhao Jiang; Jiajun Li; Xin He; Guihai Yan; Xuan Zhang 001; Xiaowei Li 001 (ATS, 2018)

CCR: A concise convolution rule for sparse neural network accelerators. - Jiajun Li; Guihai Yan; Wenyan Lu; Shuhao Jiang; Shijun Gong; Jingya Wu; Xiaowei Li 001 (DATE, 2018)

SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators. - Jiajun Li; Guihai Yan; Wenyan Lu; Shuhao Jiang; Shijun Gong; Jingya Wu; Xiaowei Li 001 (DATE, 2018)

TNPU: an efficient accelerator architecture for training convolutional neural networks. - Jiajun Li; Guihai Yan; Wenyan Lu; Shuhao Jiang; Shijun Gong; Jingya Wu; Junchao Yan; Xiaowei Li 001 (ASP-DAC, 2019)

SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules. - Jiajun Li; Shuhao Jiang; Shijun Gong; Jingya Wu; Junchao Yan; Guihai Yan; Xiaowei Li 001 (IEEE Trans. Computers, 2019)

Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks. - Wenyan Lu; Guihai Yan; Jiajun Li; Shijun Gong; Shuhao Jiang; Jingya Wu; Xiaowei Li 001 (IEEE Trans. Computers, 2019)

SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks. - Jiajun Li; Guihai Yan; Wenyan Lu; Shijun Gong; Shuhao Jiang; Jingya Wu; Xiaowei Li 001 (ACM Trans. Design Autom. Electr. Syst., 2019)

Design of incomplete 3D information image recognition system based on SIFT algorithm and wireless network. - Zhixin Zhang; Shuhao Jiang (EURASIP J. Wirel. Commun. Netw., 2020)

BZIP: A compact data memory system for UTXO-based blockchains. - Shuhao Jiang; Jiajun Li; Shijun Gong; Junchao Yan; Guihai Yan; Yi Sun 004; Xiaowei Li 001 (J. Syst. Archit., 2020)

High-quality face image generation based on generative adversarial networks. - Zhixin Zhang; Xuhua Pan; Shuhao Jiang; Peijun Zhao (J. Vis. Commun. Image Represent., 2020)

A recommendation algorithm based on modified similarity and text content to optimise aggregate diversity. - Shuhao Jiang; Hongyun Zhao; Zhenzhen Li (Int. J. Ad Hoc Ubiquitous Comput., 2021)

A Personalized Recommendation Algorithm Based on Weighted Information Entropy and Particle Swarm Optimization. - Shuhao Jiang; Jincheng Ding; Liyi Zhang (Mob. Inf. Syst., 2021)

RGN-Net: A Global Contextual and Multiscale Information Association Network for Medical Image Segmentation. - Zhixin Zhang; Shuhao Jiang; Xuhua Pan (Comput. Informatics, 2022)

Comparison of two internal fixation systems in lumbar spondylolysis by finite element methods. - Le Li; Shuhao Jiang; Junyong Zhao; Mengmeng Zhao; Xin Zhou; Kunpeng Li; Chen Liu; Wencan Zhang; Junfei Chen; Qun Yu; Yuefeng Zhao; Jingjing Wang 002; et al. (Comput. Methods Programs Biomed., 2022)

Enhancing Camera Position Estimation by Multi-view Pure Rotation Recognition and Automated Annotation Learning. - Shuhao Jiang; Qi Cai; Yuanda Hu; Xiuqin Zhong (ICONIP (12), 2023)

An Autonomous Navigation Strategy Based on Improved Hector SLAM With Dynamic Weighted A* Algorithm. - Zhang Yong; Renjie Li; Fenghong Wang; Zhao Weiting; Chen Qi; Derui Zhi; Xinxin Chen; Shuhao Jiang (IEEE Access, 2023)

CTransNet: Convolutional Neural Network Combined with Transformer for Medical Image Segmentation. - Zhixin Zhang; Shuhao Jiang; Xuhua Pan (Comput. Informatics, 2023)

Online learning resource recommendation method based on multi-similarity metric optimization under the COVID-19 epidemic. - Jia Wang; Shuhao Jiang; Jincheng Ding (Comput. Commun., 2023)

An improved bicubic interpolation SLAM algorithm based on multi-sensor fusion method for rescue robot. - Yong Zhang; Renjie Li; Qi Chen; Derui Zhi; Xiaolin Wang; Changzhou Feng; Jiahui Shang; Shuhao Jiang (Int. J. Sens. Networks, 2023)

K-means clustering algorithm based on improved flower pollination algorithm. - Shuhao Jiang; Mengyuan Wang; Jichang Guo; Mengqian Wang (Adv. Math. Commun., 2023)

Dynamic conditional score model-based weighted incremental fuzzy clustering of consumer power load data. - Yong Zhang; Xinyue Li; Shuhao Jiang; Ming-Lang Tseng; Li Wang; Shurui Fan (Appl. Soft Comput., 2023)

An autocorrelation incremental fuzzy clustering framework based on dynamic conditional scoring model. - Yong Zhang; Xinyue Li; Li Wang; Shurui Fan; Lei Zhu; Shuhao Jiang (Inf. Sci., 2023)

Identifying influential spreaders in complex networks based on limited spreading domain. - Qian Ma; Shuhao Jiang; Dandan Yang; Guangtao Cheng (J. Intell. Fuzzy Syst., 2023)

A causal representation learning based model for time series prediction under external interference. - Xuanzhi Feng; Dongxu Fan; Shuhao Jiang; Jianxiong Zhang; Bing Guo; Xuefeng Ding 002; Dasha Hu; Yuming Jiang 004 (Inf. Sci., 2024)

Ctnet: rethinking convolutional neural networks and vision transformer for medical image segmentation. - Zhixin Zhang; Shuhao Jiang; Xuhua Pan (Signal Image Video Process., 2024)

An adaptive hybrid MEMD-Transformer-BiGRU model using MPA algorithm for air quality prediction. - Yong Zhang; Wentao Cheng; Jie Sun; Li Wang; Shurui Fan; Jingyu Zhang; Shuhao Jiang (Swarm Evol. Comput., 2025)