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2020 – today
- 2024
[j27]Lei Yao, Da Guo, Xing Wang, Lin Zhu, Junlan Feng, Yong Zhang
:
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification. Int. J. Mach. Learn. Cybern. 15(3): 863-877 (2024)- [j26]Yuzhen Xing, Ronghai Hu, Hengli Lin, Hong Zeng, Da Guo, Guangjian Yan, Xiaoning Song, Pierre Kastendeuch, Marc Saudreau, Françoise Nerry, Kai Xue, Yanfen Wang:
Bottom-Up Estimation of Stand Leaf Area Index From Individual Tree Measurement Using Terrestrial Laser Scanning Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - 2023
- [j25]Zhao Li, Yong Zhang, Da Guo, Xu Zhou, Xing Wang, Lin Zhu:
Long-term traffic forecasting based on adaptive graph cross strided convolution network. Appl. Intell. 53(4): 3672-3686 (2023) - [j24]Da Guo, Danfeng Luo, Yong Zhang, Xiuyong Zhang, Yuyang Lai, Yunqi Sun:
Application of deep reinforcement learning to intelligent distributed humidity control system. Appl. Intell. 53(13): 16724-16746 (2023) - [j23]Zhao Zhang, Yong Zhang, Da Guo, Shuang Zhao, Xiaolin Zhu:
Communication-efficient federated continual learning for distributed learning system with Non-IID data. Sci. China Inf. Sci. 66(2) (2023) - [j22]Zhenyu Zhang, Qin Li, Lu Lu, Da Guo, Yong Zhang:
Joint Optimization of the Partition and Scheduling of DNN Tasks in Computing and Network Convergence. IEEE Netw. Lett. 5(2): 130-134 (2023) - [j21]Siyu Yuan, Yong Zhang, Tengteng Ma, Zhenjie Cheng, Da Guo:
Graph convolutional reinforcement learning for resource allocation in hybrid overlay-underlay cognitive radio network with network slicing. IET Commun. 17(2): 215-227 (2023) - [j20]Da Guo, Ronghai Hu, Xiaoning Song, Xinhui Li, Hengli Lin, Yanan Zhang, Liang Gao, Xinming Zhu:
Exploring Photon-Counting Laser Altimeter ICESat-2 in Retrieving LAI and Correcting Clumping Effect. IEEE Trans. Geosci. Remote. Sens. 61: 1-9 (2023) - [j19]Yuhao Chai, Yong Zhang, Tengteng Ma, Da Guo, Yinglei Teng:
Research on multi-service slice resource allocation over licensed and unlicensed bands. Wirel. Networks 29(1): 1-17 (2023) - 2022
- [j18]Xin-Ming Zhu, Xiaoning Song, Pei Leng, Fang-Cheng Zhou, Liang Gao, Da Guo:
Performances of six reanalysis profile products in the atmospheric correction of passive microwave data for estimating land surface temperature under cloudy-sky conditions. Int. J. Digit. Earth 15(1): 296-322 (2022) - [j17]Zhao Zhang, Yong Zhang, Jie Niu, Da Guo:
Unknown network attack detection based on open-set recognition and active learning in drone network. Trans. Emerg. Telecommun. Technol. 33(10) (2022) - [j16]Zhao Zhang, Yong Zhang, Da Guo, Lei Yao, Zhao Li:
SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system. Future Gener. Comput. Syst. 134: 154-169 (2022) - [j15]Yunqi Sun, Yong Zhang, Da Guo, Xiuyong Zhang, Yuyang Lai, Danfeng Luo:
Intelligent Distributed Temperature and Humidity Control Mechanism for Uniformity and Precision in the Indoor Environment. IEEE Internet Things J. 9(19): 19101-19115 (2022) - [j14]Xin-Ming Zhu, Xiaoning Song, Pei Leng, Zhao-Liang Li, Xiao-Tao Li, Liang Gao, Da Guo:
Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [c32]Xiaolin Zhu, Yong Zhang, Zhao Zhang, Da Guo, Qi Li, Zhao Li:
Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network. INFOCOM Workshops 2022: 1-6 - 2021
- [j13]Shuohao Cai, Xiaoning Song, Ronghai Hu, Da Guo:
Ecosystem-Dependent Responses of Vegetation Coverage on the Tibetan Plateau to Climate Factors and Their Lag Periods. ISPRS Int. J. Geo Inf. 10(6): 394 (2021) - [j12]Zhao Zhang, Yong Zhang, Da Guo, Mei Song:
A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks. Int. J. Mach. Learn. Cybern. 12(6): 1649-1665 (2021) - [j11]Da Guo, Xiaoning Song, Ronghai Hu, Xinming Zhu, Yazhen Jiang, Shuohao Cai, Yanan Zhang, Xiaoyong Cui:
Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region. Remote. Sens. 13(6): 1180 (2021) - [j10]Tong Li, Lizhen Cui, Zhihong Xu, Ronghai Hu, Pawan K. Joshi, Xiufang Song, Li Tang, Anquan Xia, Yanfen Wang, Da Guo, Jiapei Zhu, Yanbin Hao, Lan Song, Xiaoyong Cui:
Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020. Remote. Sens. 13(7): 1279 (2021) - [j9]Xin-Ming Zhu, Xiaoning Song, Pei Leng, Xiaotao Li, Liang Gao, Da Guo, Shuohao Cai:
A Framework for Generating High Spatiotemporal Resolution Land Surface Temperature in Heterogeneous Areas. Remote. Sens. 13(19): 3885 (2021) - [j8]Xin-Ming Zhu, Xiaoning Song, Pei Leng, Da Guo, Shuo-Hao Cai:
Impact of Atmospheric Correction on Spatial Heterogeneity Relations Between Land Surface Temperature and Biophysical Compositions. IEEE Trans. Geosci. Remote. Sens. 59(3): 2680-2697 (2021) - [c31]Yong Zhang, Jie Niu, Guojian He, Lin Zhu, Da Guo:
Network Intrusion Detection Based on Active Semi-supervised Learning. DSN Workshops 2021: 129-135 - [c30]Zhenyu Zhang, Weijun Zheng, Weiping Shao, Yong Zhang, Da Guo:
Resource Allocation for Multi-service NOMA System Based on Deep Reinforcement Learning. HCC 2021: 219-231 - 2020
- [j7]Tengteng Ma, Yong Zhang, Fanggang Wang, Dong Wang, Da Guo:
Slicing Resource Allocation for eMBB and URLLC in 5G RAN. Wirel. Commun. Mob. Comput. 2020: 6290375:1-6290375:11 (2020)
2010 – 2019
- 2019
- [j6]Yong Sun, Shuo Cheng, Congzhi Liu, Liang Li, Jian Wu, Da Guo:
A H∞ PIε D-Based Observer Designed by LMI for Some Special System. IEEE Access 7: 5502-5507 (2019) - [j5]Yong Zhang, Xu Chen, Lei Jin, Xiaojuan Wang, Da Guo:
Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data. IEEE Access 7: 37004-37016 (2019) - [j4]Yong Zhang, Xu Chen, Da Guo, Mei Song, Yinglei Teng, Xiaojuan Wang:
PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows. IEEE Access 7: 119904-119916 (2019) - [j3]Yifei Wei, Qiao Li, Xia Gong, Da Guo, Yong Zhang:
Spectrum prediction and aggregation strategy in multi-user cooperative relay networks. Int. J. High Perform. Comput. Netw. 13(2): 241-250 (2019) - [c29]Weijun Zheng, Jinghui Fang, Siyu Yuan, Da Guo, Yong Zhang:
Resource Allocation in HetNets with Green Energy Supply Based on Deep Reinforcement Learning. HCC 2019: 671-682 - [c28]Jie Niu, Yong Zhang, Dan Liu, Da Guo, Yinglei Teng:
Abnormal Network Traffic Detection Based on Transfer Component Analysis. ICC Workshops 2019: 1-6 - [c27]Yi Zhang, Yifei Wei, Da Guo, Mei Song:
Reinforcement Learning Based Content Push Policy for HetNets with Energy Harvesting Small Cells. ICAIS (2) 2019: 145-156 - [c26]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. ICMI 2019: 551-556 - [c25]Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction. ICMI 2019: 557-561 - [i2]Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao:
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression. CoRR abs/1907.03422 (2019) - 2018
- [j2]Da Guo, Yong Zhang, Guangnian Xu, Park Hyeongchun:
Spectrum Aggregation Scheme in a Wireless Broadband Data Transceiver System. Int. J. Robotics Autom. 33(5) (2018) - [c24]Chaonan Xu, Yong Zhang, Da Guo, Wei Wang, Baoling Liu:
System Design of Driving Behavior Recognition Based on Semi-supervised Learning. HCC 2018: 535-546 - [c23]Shuai Liu, Yong Zhang, Lei Jin, Xiaojuan Wang, Mei Song, Da Guo:
A Systematic Framework for Malicious Traffic Detection Based on Feature Repository. HCC 2018: 601-612 - [c22]Min Zhao, Yifei Wei, Mei Song, Da Guo:
Power Control for D2D Communication Using Multi-Agent Reinforcement Learning. ICCC 2018: 563-567 - [c21]Yong Zhang, Canping Kang, Tengteng Ma, Yinglei Teng, Da Guo:
Power Allocation in Multi-Cell Networks Using Deep Reinforcement Learning. VTC Fall 2018: 1-6 - 2017
- [c20]Kaili Wu, Yifei Wei, Qiao Li, Da Guo, Mei Song:
The Energy Efficiency Research of Traffic Offloading Mechanism for Green Heterogeneous Networks. HCC 2017: 274-287 - 2016
- [j1]Xuyan Bao, Yong Zhang, Da Guo, Mei Song:
An optimization model for fragmentation-based routing in delay tolerant networks. Sci. China Inf. Sci. 59(2): 1-16 (2016) - [c19]Haolei Huang, Yong Zhang, Da Guo, Yifei Wei, Juan Chen, Xuyan Bao:
Single Link Routing Protocol for Wireless Sensor Network. HCC 2016: 150-159 - [c18]Ruonan Li, Yong Zhang, Da Guo, Zhaohua Chen, Chunping Hou:
Investigation on Mobility Model in Opportunistic Network. HCC 2016: 250-261 - [c17]Yifei Wei, Hengyu Lai, Xia Gong, Da Guo, Chunping Hou:
Energy-Saving Power Allocation Scheme for Relay Networks Based on Graphical Method of Classification. HCC 2016: 454-464 - [c16]Yanan Zhang, Yong Zhang, Da Guo, Mei Song:
An Energy-Saving Algorithm Based on Base Station Sleeping in Multi-Hop D2D Communication. VTC Fall 2016: 1-5 - [i1]Yifei Wei, Qiao Li, Xia Gong, Da Guo, Yong Zhang:
The Dynamic Spectrum Aggregation Strategy for Cognitive Networks Based on Markov Model. CoRR abs/1612.03204 (2016) - 2015
- [c15]Xia Gong, Yifei Wei, Yong Zhang, Da Guo:
Spectrum aggregation strategy in multi-user cooperative relay networks. FSKD 2015: 2196-2202 - [c14]Ke Bi, Yifei Wei, Mei Song, Da Guo:
A green smart topology management system based on network situation awareness. ICNC 2015: 845-849 - 2014
- [c13]Jianke Pan, Da Guo, Kunhao Hong, Hui Xie, Xuewei Cao, Jun Liu:
The influence of acupuncture therapy on early rehabilitation following anterior cruciate ligament reconstruction: A randomized controlled trial. BIBM 2014: 95-96 - [c12]Cheng Chen, Yong Zhang, Mei Song, Gang Cheng, Da Guo, Jinlong Cao, Xuyan Bao:
Quantum-Inspired Shuffled Frog Leaping Algorithm for Spectrum Sensing in Cooperative Cognitive Radio Network. HCC 2014: 80-92 - [c11]Gang Cheng, Yong Zhang, Mei Song, Da Guo, Deyu Yuan, Xuyan Bao:
An Novel Message Delivery Mechanism in Opportunistic Networks. HCC 2014: 900-909 - 2013
- [c10]Jun Liu, Jianke Pan, Ji-yuan Yang, Da Guo, Wei-yi Yang, Xiang Li, Yu-yao Wan, Shu-chai Xu:
Study on the distinguishing feature in use of Chinese drugs on cervical spondylosis patients in perimenopausal period through data mining methods. BIBM 2013: 138-139 - [c9]Qingzhong Qiu, Da Guo, Jianke Pan, Jiajing Lu, Jun Liu, Xuewei Cao:
Mutual information mining for component law and development of new recipes for ankylosing spondylitis. BIBM 2013: 218-221 - [c8]Qingzhong Qiu, Da Guo, Jianke Pan, Zhenwei Ma, Jun Liu, Xuewei Cao:
Mutual information mining for component law and development of new recipes for rheumatoid arthritis. BIBM 2013: 222-225 - 2012
- [c7]Xiaoyong Lin, Jian Li, Jianke Pan, Jun Liu, Da Guo:
Effect of "Shenque" Qi distribution theory on malignant Bone cancer patients' quality of life(QOL) during chemotherapy. BIBM Workshops 2012: 352-354 - [c6]Binshan Zhang, Jian Li, Xuewei Cao, Jianke Pan, Da Guo:
Study on the law of ancient herbs in the treatment of osteoarthritis. BIBM Workshops 2012: 355-357 - [c5]Zhichao Tan, Da Guo, Lufeng Huang, Xuewei Cao, Jun Liu:
Treating Non-infectious Fever after Orthopedic Surgery by nourishing yin: An inspiration from systematized identification of warm diseases. BIBM Workshops 2012: 358-361 - [c4]Jian Li, Da Guo, Liu Jinwen, Jianke Pan, Lufeng Huang, Jun Liu:
Prof. Liu Jinwen's experience on treating knee osteoarthritis. BIBM Workshops 2012: 402-405 - [c3]Da Guo, Jian Li, Gang Zhang, Weixiang Lu, Shaojian Xu, Jun Liu:
Research on optimal Traditional Chinese Medicine treatment of knee ostarthritis with data mining algorithms. BIBM Workshops 2012: 406-409 - [c2]Chongli Deng, Jian Li, Xuewei Cao, Jun Liu, Tao Yu, Da Guo:
Therapeutic effectiveness evaluation on Shishi manipulation for knee osteoarthritis. BIBM Workshops 2012: 520-522
2000 – 2009
- 2004
- [c1]Da Guo, Constantinos Evangelinos, Nicholas M. Patrikalakis:
Flow Feature Extraction in Oceanographic Visualization. Computer Graphics International 2004: 162-173
Coauthor Index
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