Modified Convolutional Neural Network Based on Dropout and the Stochastic Gradient Descent Optimizer. - Jing Yang 017; Guanci Yang (Algorithms, 2018)

Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes. - Guanci Yang; Jing Yang 017; Weihua Sheng; Francisco Erivaldo Fernandes Junior; Shaobo Li 001 (Sensors, 2018)

Real-Time Tiny Part Defect Detection System in Manufacturing Using Deep Learning. - Jing Yang 017; Shaobo Li 001; Zheng Wang 071; Guanci Yang (IEEE Access, 2019)

Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey. - Qiang Bai; Shaobo Li 001; Jing Yang 017; Qisong Song; Zhiang Li; Xingxing Zhang 003 (IEEE Access, 2020)

Gear Fault Diagnosis through Vibration and Acoustic Signal Combination Based on Convolutional Neural Network. - Liya Yu; Xuemei Yao; Jing Yang 017; Chuanjiang Li (Inf., 2020)

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot. - Qisong Song; Shaobo Li 001; Jing Yang 017; Qiang Bai; Jianjun Hu; Xingxing Zhang 003; Ansi Zhang (Comput. Intell. Neurosci., 2021)

Trajectory Planning of Robot Manipulator Based on RBF Neural Network. - Qisong Song; Shaobo Li 001; Qiang Bai; Jing Yang 017; Ansi Zhang; Xingxing Zhang 003; Longxuan Zhe (Entropy, 2021)

Target Classification Method of Tactile Perception Data with Deep Learning. - Xingxing Zhang 003; Shaobo Li 001; Jing Yang 017; Qiang Bai; Yang Wang 028; Mingming Shen; Ruiqiang Pu; Qisong Song (Entropy, 2021)

Research on Generation Method of Grasp Strategy Based on DeepLab V3+ for Three-Finger Gripper. - Sanlong Jiang; Shaobo Li 001; Qiang Bai; Jing Yang 017; Yanming Miao; Leiyu Chen (Inf., 2021)

DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection. - Jun Wang; Liya Yu; Jing Yang 017; Hao Dong (Inf., 2021)

Review of Image Classification Algorithms Based on Convolutional Neural Networks. - Leiyu Chen; Shaobo Li 001; Qiang Bai; Jing Yang 017; Sanlong Jiang; Yanming Miao (Remote. Sens., 2021)

Surface Quality Automatic Inspection for Pharmaceutical Capsules Using Deep Learning. - Hao Dong; Jing Yang 017; Jun Wang; Shaobo Li 001 (J. Sensors, 2022)

Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks. - Yao Xiao; Ji Xu 001; Jing Yang 017; Shaobo Li 001 (CoRR, 2023)

A TL_FLAT Model for Chinese Text Datasets of UAV Power Systems: Optimization and Performance. - Mingming Shen; Shaobo Li 001; Jing Yang 017; Ansi Zhang; Qiuchen He; Ruiqiang Pu (Int. J. Intell. Syst., 2023)

A New Multinetwork Mean Distillation Loss Function for Open-World Domain Incremental Object Detection. - Jing Yang 017; Kun Yuan; Suhao Chen; Qinglang Li; Shaobo Li 001; Xiuhua Zhang; Bin Li (Int. J. Intell. Syst., 2023)

GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification. - Jing Yang 017; Jie Sun; Yaping Ren; Shaobo Li 001; Shujie Ding; Jianjun Hu (Int. J. Digit. Earth, 2023)

SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction. - Jing Xu; Xiaoli Ruan; Jing Yang 017; Bingqi Hu; Shaobo Li 001; Jianjun Hu (Comput. Biol. Chem., 2024)

Deep reinforcement learning-based resource scheduling for energy optimization and load balancing in SDN-driven edge computing. - Xu Zhou; Jing Yang 017; Yijun Li; Shaobo Li 001; Zhidong Su (Comput. Commun., 2024)

A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters. - Chunyu Xue; Weihao Cui; Han Zhao 005; Quan Chen 002; Shulai Zhang; Pengyu Yang; Jing Yang 017; Shaobo Li 001; Minyi Guo (CoRR, 2024)

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition. - Jing Yang 017; Zukun Yu; Shaobo Li 001; Yang Cao; Jianjun Hu; Ji Xu 001 (Inf. Sci., 2024)

SPIRF-CTA: Selection of parameter importance levels for reasonable forgetting in continuous task adaptation. - Qinglang Li; Jing Yang 017; Xiaoli Ruan; Shaobo Li 001; Jianjun Hu; Bingqi Hu (Knowl. Based Syst., 2024)

A class-incremental learning approach for learning feature-compatible embeddings. - Hongchao An; Jing Yang 017; Xiuhua Zhang; Xiaoli Ruan; Yuankai Wu; Shaobo Li 001; Jianjun Hu (Neural Networks, 2024)

LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification. - Shujie Ding; Xiaoli Ruan; Jing Yang 017; Jie Sun; Shaobo Li 001; Jianjun Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning. - Jialin Lu; Jing Yang 017; Shaobo Li 001; Yijun Li; Wu Jiang; Jiangtian Dai; Jianjun Hu (IEEE Internet Things J., 2024)

LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification. - Jie Sun; Jing Yang 017; Wang Chen; Sujie Ding; Shaobo Li 001; Jianjun Hu (Neural Process. Lett., 2024)

Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks. - Yuankai Wu; Jing Yang 017; Xiaoxu Chen; Yi Lin 006; Hongyu Yang (IEEE Trans. Intell. Transp. Syst., 2024)

LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning. - Xingjiang Ma; Jing Yang 017; Jiacheng Lin; Zhenzhe Zheng; Shaobo Li 001; Bingqi Hu; Xianghong Tang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Determinate node selection for semi-supervised classification oriented graph convolutional networks. - Yao Xiao; Ji Xu 001; Jing Yang 017; Shaobo Li 001; Guoyin Wang 001 (Int. J. Bio Inspired Comput., 2025)

AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning. - Jing Yang 017; Xingjiang Ma; Yuankai Wu; Chengjiang Li; Zhidong Su; Ji Xu 001; Yixiong Feng (Inf. Fusion, 2025)

Effective Generative Replay with Strong Memory for Continual Learning. - Jing Yang 017; Xinyu Zhou; Yao He; Qinglang Li; Zhidong Su; Xiaoli Ruan; Changfu Zhang (Knowl. Based Syst., 2025)

Indoor scene multi-object tracking based on region search and memory buffer pool. - Yang Li 046; Guanci Yang; Zhidong Su; Shaobo Li 001; Jing Yang 017; Ling He (Pattern Recognit., 2025)

LRDTN: Spectral-Spatial Convolutional Fusion Long-Range Dependence Transformer Network for Hyperspectral Image Classification. - Shujie Ding; Xiaoli Ruan; Jing Yang 017; Chengjiang Li; Jie Sun; Xianghong Tang; Zhidong Su (IEEE Trans. Geosci. Remote. Sens., 2025)

EC-TRL: Evolutionary-Weighted Clustering and Transformer-Augmented Reinforcement Learning for Dynamic Resource Scheduling in Edge Cloud Environments. - Xu Zhou; Jing Yang 017; Yijun Li; Shaobo Li 001; Zhidong Su; Jialin Lu (IEEE Internet Things J., 2025)

Taming Flexible Job Packing in Deep Learning Training Clusters. - Pengyu Yang; Weihao Cui; Chunyu Xue; Han Zhao 005; Chen Chen 067; Quan Chen 002; Jing Yang 017; Minyi Guo (ACM Trans. Archit. Code Optim., 2025)

HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing. - Jing Yang 017; Jialin Lu; Xu Zhou; Shaobo Li 001; Chuanyue Xiong; Jianjun Hu (IEEE Trans. Green Commun. Netw., 2025)

MMT-SNN: Markovian decision and multi-threshold spike delivery integrated adaptive spiking neural network for tactile object recognition. - Jing Yang 017; Zukun Yu; Changfu Zhang; Shaobo Li 001; Lin Li; Zhidong Su; Yixiong Feng (Expert Syst. Appl., 2026)

Graph neural networks with flow conservation constraints for real-time origin-destination matrix completion. - Zhongyue Zhang; Jing Yang 017; Xiaoxu Chen; Yuankai Wu (Pattern Recognit., 2026)