Range-Free Fast and Rough Nodes Localization Algorithm in Wireless Sensor Networks. - Wang Mei; Xiaochuan Sun; Zheng Hao (IAS, 2009)

Toward development of 3D surgical mouse paradigm. - Xiaochuan Sun; Shahram Payandeh (IROS, 2011)

Improved stability criteria for synchronization of chaotic Lur'e systems using sampled-data control. - Chao Ge 001; Weiwei Zhang; Wei Li; Xiaochuan Sun (Neurocomputing, 2015)

Deep belief echo-state network and its application to time series prediction. - Xiaochuan Sun; Tao Li 001; Qun Li 002; Yue Huang; Yingqi Li (Knowl. Based Syst., 2017)

Recurrent neural system with minimum complexity: A deep learning perspective. - Xiaochuan Sun; Tao Li 001; Yingqi Li; Qun Li 002; Yue Huang; Jiayu Liu (Neurocomputing, 2018)

Experimental and numerical studies on the braiding of carbon fibres over structured end-fittings for the design and manufacture of high performance hybrid shafts. - Xiaochuan Sun; Luiz F. Kawashita; Tino Wollmann; Sebastian Spitzer; Albert Langkamp; Maik Gude (Prod. Eng., 2018)

Machine Learning Based Dynamic Correlation on Marine Environmental Data Using Cross-Recurrence Strategy. - Zhigang Li; Gang Wang 037; Di Cai; Jialin Wang 001; Yingqi Li; Guan Gui 001; Xiaochuan Sun; Ning Wang 017; Jiabo Zhang; Huixin Liu (IEEE Access, 2019)

Collective Efficacy of Support Vector Regression With Smoothness Priority in Marine Sensor Data Prediction. - Zhigang Li; Ning Wang 017; Yingqi Li; Xiaochuan Sun; Meijie Huo; Haijun Zhang 001 (IEEE Access, 2019)

Echo-State Restricted Boltzmann Machines: A Perspective on Information Compensation. - Xiaochuan Sun; Yingqi Li; Guan Gui 001; Hikmet Sari (IEEE Access, 2019)

ResInNet: A Novel Deep Neural Network With Feature Reuse for Internet of Things. - Xiaochuan Sun; Guan Gui 001; Yingqi Li; Ren Ping Liu; Yongli An (IEEE Internet Things J., 2019)

Distributed interference alignment algorithm in downlink multi-user cooperative networks. - Yongli An; Ruihua Sun; Xinwen Wu; Xiaochuan Sun (J. Supercomput., 2019)

Semantic Concept Network and Deep Walk-based Visual Question Answering. - Qun Li 002; Fu Xiao 001; Le An; Xianzhong Long; Xiaochuan Sun (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Smoothed Deep Neural Networks for Marine Sensor Data Prediction. - Zhigang Li; Gang Wang 037; Juan Wang 008; Jialin Wang 001; Di Cai; Yingqi Li; Changxin Cai; Xiaochuan Sun; Ning Wang 017; Jiabo Zhang; Huixin Liu (IEEE Access, 2020)

Multivariate Seawater Quality Prediction Based on PCA-RVM Supported by Edge Computing Towards Smart Ocean. - Xiaochuan Sun; Xin Wang 102; Di Cai; Zhigang Li; Yuanyuan Gao; Xusheng Wang (IEEE Access, 2020)

Recurrence Behavior Statistics of Blast Furnace Gas Sensor Data in Industrial Internet of Things. - Yingqi Li; Di Cai; Jialin Wang 001; Xiaochuan Sun; Zhigang Li; Haijun Zhang 001; Ning Wang 017 (IEEE Internet Things J., 2020)

Toward Self-Adaptive Selection of Kernel Functions for Support Vector Regression in IoT-Based Marine Data Prediction. - Xiaochuan Sun; Yingqi Li; Ning Wang 017; Zhigang Li; Miao Liu 002; Guan Gui 001 (IEEE Internet Things J., 2020)

Enhanced Echo-State Restricted Boltzmann Machines for Network Traffic Prediction. - Xiaochuan Sun; Shuhao Ma; Yingqi Li; Duo Wang; Zhigang Li; Ning Wang 017; Guan Gui 001 (IEEE Internet Things J., 2020)

Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks. - Yingqi Li; Juan Wang 008; Xiaochuan Sun; Zhigang Li; Miao Liu 002; Guan Gui 001 (IEEE Trans. Veh. Technol., 2020)

Cellular Traffic Prediction via a Deep Multi-Reservoir Regression Learning Network for Multi-Access Edge Computing. - Yingqi Li; Xiaochuan Sun; Haijun Zhang 001; Zhigang Li; Linlin Qin; Chenwei Sun; Zhanlin Ji (IEEE Wirel. Commun., 2021)

Reservoir Dynamic Interpretability for Time Series Prediction: A Permutation Entropy View. - Xiaochuan Sun; Mingxiang Hao; Yutong Wang; Yu Wang; Zhigang Li; Yingqi Li (Entropy, 2022)

A Self-Attentional ResNet-LightGBM Model for IoT-Enabled Voice Liveness Detection. - Xiaochuan Sun; Jingchang Fu; Biao Wei; Zhigang Li; Yingqi Li; Ning Wang 004 (IEEE Internet Things J., 2023)

Small Object Detection Methods in Complex Background: An Overview. - Zhigang Li; Qimei Guo; Bo Sun; Difei Cao; Yingqi Li; Xiaochuan Sun (Int. J. Pattern Recognit. Artif. Intell., 2023)

Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA). - Zhigang Li; Ting Sun; Yu Wang; Yujie Liu; Xiaochuan Sun (Entropy, 2023)

Towards Fault Tolerance of Reservoir Computing in Time Series Prediction. - Xiaochuan Sun; Jiahui Gao; Yu Wang (Inf., 2023)

User Satisfaction-Aware Edge Computation Offloading in 5G Multi-Scenario. - Xiaochuan Sun; Xiaoyu Niu; Yutong Wang; Yingqi Li (J. Commun. Inf. Networks, 2023)

Temporal Feature-Enhanced Deep Reinforcement Learning for RAN Slicing With User Mobility. - Qi Zhang; Zhigang Li; Zhenteng Qin; Xiaochuan Sun; Haijun Zhang 001 (IEEE Commun. Lett., 2023)

ADRLO: Adaptive deep reinforcement learning-based offloading for edge computing. - Zhigang Li; Yutong Wang; Wentao Zhang; Shujie Li; Xiaochuan Sun (Phys. Commun., 2023)

A lightweight multi-feature fusion structure for automatic modulation classification. - Zhigang Li; Wentao Zhang; Yutong Wang; Shujie Li; Xiaochuan Sun (Phys. Commun., 2023)

Mconvkgc: a novel multi-channel convolutional model for knowledge graph completion. - Xiaochuan Sun; Qi Chen; Mingxiang Hao; Yingqi Li; Bo Sun (Computing, 2024)

Towards lightweight military object detection. - Zhigang Li; Wenhao Nian; Xiaochuan Sun; Shujie Li (J. Intell. Fuzzy Syst., 2024)

Reservoir structure optimization of echo state networks: A detrended multiple cross-correlation pruning perspective. - Xiaochuan Sun; Yu Wang; Mingxiang Hao; Yingqi Li; Tianyu Huang (J. Intell. Fuzzy Syst., 2024)

Towards efficient RAN slicing: A deep hierarchical reinforcement learning approach. - Xiaochuan Sun; Zhenteng Qin; Qi Zhang; Yingqi Li (Phys. Commun., 2024)

Edge-Side Cellular Network Traffic Prediction Based on Trend Graph Characterization Network. - Mingxiang Hao; Xiaochuan Sun; Yingqi Li; Haijun Zhang 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Modeling Super-Lightweight Cellular Traffic Prediction via Multiservice and Multimodal Feature Fusion Network. - Yingqi Li; Mingxiang Hao; Xiaochuan Sun; Haijun Zhang 001 (IEEE Netw. Lett., 2024)

Detecting Tendency Behavior of Cellular Network Traffic via Ordinal Pattern Transition Networks. - Mingxiang Hao; Xiaochuan Sun; Yingqi Li; Tianyu Huang (IEEE Internet Things J., 2024)

Hierarchical Multi-Granularity Joint Source-Channel Coding for Image Semantic Transmission. - Xiaochuan Sun; Jike Yu; Changcheng Wu; Yingqi Li; Haijun Zhang 001 (IEEE Wirel. Commun. Lett., 2024)

Make Power Allocation More Adaptive in Ultra Dense Networks: Priority-Driven Deep Reinforcement Learning via Noise-Perturbations. - Xiaochuan Sun; Jinpeng Han; Yingqi Li; Kaiyu Zhu; Haijun Zhang 001 (IEEE Trans. Wirel. Commun., 2025)

Toward Interference-Tolerant Automatic Modulation Recognition via Multi-Stage Feature Extraction Network. - Xiaochuan Sun; Changcheng Wu; Yingqi Li; Tianyu Huang; Jike Yu; Haijun Zhang 001 (IEEE Trans. Veh. Technol., 2025)

Multi-scale network for medical image segmentation integrated with edge perception. - Mingjun Wei; Qian Wu; Jinghao Jia; Weibin Chen; Ao Cai; Hui Li; Xiaochuan Sun; Jinyun Liu (Biomed. Signal Process. Control., 2026)