Da Guo

76 papers A* 1A 2B 3C 2Misc 1Journal 38Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Climber-Pilot: A Non-Myopic Generative Recommendation Model Towards Better Instruction-Following.
CoRR
Da Guo, Shijia Wang, Qiang Xiao, Yintao Ren, Weisheng Li, Songpei Xu, Ming Yue, Bin Huang, Guanlin Wu, Chuanjiang Luo
2026 J jnl
The attention mechanism for intelligent text generation of traditional cultural symbols in artistic design.
Appl. Soft Comput.
Xi Xu, Da Guo
2025 J jnl
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law.
CoRR
Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Fangjian Li, Chuanjiang Luo
2025 A conf
Climber: Toward Efficient Scaling Laws for Large Recommendation Models.
CIKM
Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Bin Huang, Guanlin Wu, Chuanjiang Luo
2025 — conf
Distributed Inference Optimization for Large Language Model in Edge-Cloud Collaborative Networks.
ICC
Zideng Feng, Lu Lu, Qin Li, Yuhao Chai, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo
2025 — conf
ELinear: An Efficient Linear Architecture for Edge Intelligence Time Series Forecasting.
VTC2025-Fall
Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Yinglei Teng, Da Guo
2025 J jnl
FPGA routing congestion prediction combining DAGNN and GCN.
Integr.
Tingyuan Nie, Yang Du, Da Guo, Kun Zhao
2025 J jnl
Intelligent port logistics: A spatiotemporal knowledge graph and AI-agent framework for berth allocation.
Adv. Eng. Informatics
Peng Wang, Qinyou Hu, Qiang Mei, Shaohua Wan, Yang Yang, Da Guo, Xiaotong Liu, Wenlong Hu, Jihong Chen
2025 J jnl
Large-Scale Retrieval and Quality Control of Leaf Area Index Based on ICESat-2 Spaceborne Photon-Counting Laser Altimeter.
IEEE Trans. Geosci. Remote. Sens.
Da Guo, Xiaoning Song, Ronghai Hu, Max Mallen-Cooper, Yuzhen Xing, Ruijin Li, Hong Zeng, Han Guo, Guangjian Yan, Paul Kardol
2025 B conf
PefNet: Injecting Pre-learned Channel Dependence for Time Series Forecasting with Missing Data.
IJCNN
Chenyang He, Zilong Yan, Tianmu Sha, Lei Yao, Qi Li, Zhenyu Zhang, Yong Zhang, Da Guo
2025 A conf
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation.
CIKM
Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo
2025 J jnl
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation.
CoRR
Shijia Wang, Tianpei Ouyang, Qiang Xiao, Dongjing Wang, Yintao Ren, Songpei Xu, Da Guo, Chuanjiang Luo
2025 J jnl
Research on joint game theory and multi-agent reinforcement learning-based resource allocation in micro operator networks.
Comput. Networks
Yuhao Chai, Yong Zhang, Zhenyu Zhang, Da Guo, Yinglei Teng
2024 J jnl
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification.
Int. J. Mach. Learn. Cybern.
Lei Yao, Da Guo, Xing Wang, Lin Zhu, Junlan Feng, Yong Zhang
2024 J jnl
Bottom-Up Estimation of Stand Leaf Area Index From Individual Tree Measurement Using Terrestrial Laser Scanning Data.
IEEE Trans. Geosci. Remote. Sens.
Yuzhen Xing, Ronghai Hu, Hengli Lin, Hong Zeng, Da Guo, Guangjian Yan, Xiaoning Song, Pierre Kastendeuch, Marc Saudreau, Françoise Nerry, Kai Xue, Yanfen Wang
2024 A* conf
Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation.
ICDM
Qimeng Yang, Shijia Wang, Da Guo, Dongjin Yu, Qiang Xiao, Dongjing Wang, Chuanjiang Luo
2024 J jnl
Causal Effects of Adversarial Attacks on AI Models in 6G Consumer Electronics.
IEEE Trans. Consumer Electron.
Da Guo, Zhengjie Feng, Zhen Zhang, Fazlullah Khan, Chien-Ming Chen, Ruibin Bai, Marwan Omar, Saru Kumari
2023 J jnl
Application of deep reinforcement learning to intelligent distributed humidity control system.
Appl. Intell.
Da Guo, Danfeng Luo, Yong Zhang, Xiuyong Zhang, Yuyang Lai, Yunqi Sun
2023 J jnl
Communication-efficient federated continual learning for distributed learning system with Non-IID data.
Sci. China Inf. Sci.
Zhao Zhang, Yong Zhang, Da Guo, Shuang Zhao, Xiaolin Zhu
2023 J jnl
Exploring Photon-Counting Laser Altimeter ICESat-2 in Retrieving LAI and Correcting Clumping Effect.
IEEE Trans. Geosci. Remote. Sens.
Da Guo, Ronghai Hu, Xiaoning Song, Xinhui Li, Hengli Lin, Yanan Zhang, Liang Gao, Xinming Zhu
2023 J jnl
Graph convolutional reinforcement learning for resource allocation in hybrid overlay-underlay cognitive radio network with network slicing.
IET Commun.
Siyu Yuan, Yong Zhang, Tengteng Ma, Zhenjie Cheng, Da Guo
2023 J jnl
Joint Optimization of the Partition and Scheduling of DNN Tasks in Computing and Network Convergence.
IEEE Netw. Lett.
Zhenyu Zhang, Qin Li, Lu Lu, Da Guo, Yong Zhang
2023 J jnl
Long-term traffic forecasting based on adaptive graph cross strided convolution network.
Appl. Intell.
Zhao Li, Yong Zhang, Da Guo, Xu Zhou, Xing Wang, Lin Zhu
2023 J jnl
Research on multi-service slice resource allocation over licensed and unlicensed bands.
Wirel. Networks
Yuhao Chai, Yong Zhang, Tengteng Ma, Da Guo, Yinglei Teng
2022 J jnl
Estimate of Cloudy-Sky Surface Emissivity From Passive Microwave Satellite Data Using Machine Learning.
IEEE Trans. Geosci. Remote. Sens.
Xin-Ming Zhu, Xiaoning Song, Pei Leng, Zhao-Liang Li, Xiao-Tao Li, Liang Gao, Da Guo
2022 J jnl
Intelligent Distributed Temperature and Humidity Control Mechanism for Uniformity and Precision in the Indoor Environment.
IEEE Internet Things J.
Yunqi Sun, Yong Zhang, Da Guo, Xiuyong Zhang, Yuyang Lai, Danfeng Luo
2022 — conf
Interpretability Evaluation of Botnet Detection Model based on Graph Neural Network.
INFOCOM Workshops
Xiaolin Zhu, Yong Zhang, Zhao Zhang, Da Guo, Qi Li, Zhao Li
2022 J jnl
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
Xin-Ming Zhu, Xiaoning Song, Pei Leng, Fang-Cheng Zhou, Liang Gao, Da Guo
2022 J jnl
SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system.
Future Gener. Comput. Syst.
Zhao Zhang, Yong Zhang, Da Guo, Lei Yao, Zhao Li
2022 J jnl
Unknown network attack detection based on open-set recognition and active learning in drone network.
Trans. Emerg. Telecommun. Technol.
Zhao Zhang, Yong Zhang, Jie Niu, Da Guo
2021 J jnl
A Framework for Generating High Spatiotemporal Resolution Land Surface Temperature in Heterogeneous Areas.
Remote. Sens.
Xin-Ming Zhu, Xiaoning Song, Pei Leng, Xiaotao Li, Liang Gao, Da Guo, Shuohao Cai
2021 J jnl
A scalable network intrusion detection system towards detecting, discovering, and learning unknown attacks.
Int. J. Mach. Learn. Cybern.
Zhao Zhang, Yong Zhang, Da Guo, Mei Song
2021 J jnl
Ecosystem-Dependent Responses of Vegetation Coverage on the Tibetan Plateau to Climate Factors and Their Lag Periods.
ISPRS Int. J. Geo Inf.
Shuohao Cai, Xiaoning Song, Ronghai Hu, Da Guo
2021 J jnl
Impact of Atmospheric Correction on Spatial Heterogeneity Relations Between Land Surface Temperature and Biophysical Compositions.
IEEE Trans. Geosci. Remote. Sens.
Xin-Ming Zhu, Xiaoning Song, Pei Leng, Da Guo, Shuo-Hao Cai
2021 J jnl
Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region.
Remote. Sens.
Da Guo, Xiaoning Song, Ronghai Hu, Xinming Zhu, Yazhen Jiang, Shuohao Cai, Yanan Zhang, Xiaoyong Cui
2021 — conf
Network Intrusion Detection Based on Active Semi-supervised Learning.
DSN Workshops
Yong Zhang, Jie Niu, Guojian He, Lin Zhu, Da Guo
2021 J jnl
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.
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
2021 — conf
Resource Allocation for Multi-service NOMA System Based on Deep Reinforcement Learning.
HCC
Zhenyu Zhang, Weijun Zheng, Weiping Shao, Yong Zhang, Da Guo
2020 J jnl
Slicing Resource Allocation for eMBB and URLLC in 5G RAN.
Wirel. Commun. Mob. Comput.
Tengteng Ma, Yong Zhang, Fanggang Wang, Dong Wang, Da Guo
2019 J jnl
A H
IEEE Access
Yong Sun, Shuo Cheng, Congzhi Liu, Liang Li, Jian Wu, Da Guo
2019 — conf
Abnormal Network Traffic Detection Based on Transfer Component Analysis.
ICC Workshops
Jie Niu, Yong Zhang, Dan Liu, Da Guo, Yinglei Teng
2019 B conf
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression.
ICMI
Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
2019 J jnl
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression.
CoRR
Kai Wang, Jianfei Yang, Da Guo, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
2019 B conf
Exploring Regularizations with Face, Body and Image Cues for Group Cohesion Prediction.
ICMI
Da Guo, Kai Wang, Jianfei Yang, Kaipeng Zhang, Xiaojiang Peng, Yu Qiao
2019 J jnl
Network Intrusion Detection: Based on Deep Hierarchical Network and Original Flow Data.
IEEE Access
Yong Zhang, Xu Chen, Lei Jin, Xiaojuan Wang, Da Guo
2019 J jnl
PCCN: Parallel Cross Convolutional Neural Network for Abnormal Network Traffic Flows Detection in Multi-Class Imbalanced Network Traffic Flows.
IEEE Access
Yong Zhang, Xu Chen, Da Guo, Mei Song, Yinglei Teng, Xiaojuan Wang
2019 — conf
Reinforcement Learning Based Content Push Policy for HetNets with Energy Harvesting Small Cells.
ICAIS (2)
Yi Zhang, Yifei Wei, Da Guo, Mei Song
2019 — conf
Resource Allocation in HetNets with Green Energy Supply Based on Deep Reinforcement Learning.
HCC
Weijun Zheng, Jinghui Fang, Siyu Yuan, Da Guo, Yong Zhang
2019 J jnl
Spectrum prediction and aggregation strategy in multi-user cooperative relay networks.
Int. J. High Perform. Comput. Netw.
Yifei Wei, Qiao Li, Xia Gong, Da Guo, Yong Zhang
2018 — conf
A Systematic Framework for Malicious Traffic Detection Based on Feature Repository.
HCC
Shuai Liu, Yong Zhang, Lei Jin, Xiaojuan Wang, Mei Song, Da Guo
2018 — conf
Power Allocation in Multi-Cell Networks Using Deep Reinforcement Learning.
VTC Fall
Yong Zhang, Canping Kang, Tengteng Ma, Yinglei Teng, Da Guo
2018 C conf
Power Control for D2D Communication Using Multi-Agent Reinforcement Learning.
ICCC
Min Zhao, Yifei Wei, Mei Song, Da Guo
2018 J jnl
Spectrum Aggregation Scheme in a Wireless Broadband Data Transceiver System.
Int. J. Robotics Autom.
Da Guo, Yong Zhang, Guangnian Xu, Park Hyeongchun
2018 — conf
System Design of Driving Behavior Recognition Based on Semi-supervised Learning.
HCC
Chaonan Xu, Yong Zhang, Da Guo, Wei Wang, Baoling Liu
2017 — conf
The Energy Efficiency Research of Traffic Offloading Mechanism for Green Heterogeneous Networks.
HCC
Kaili Wu, Yifei Wei, Qiao Li, Da Guo, Mei Song
2016 — conf
An Energy-Saving Algorithm Based on Base Station Sleeping in Multi-Hop D2D Communication.
VTC Fall
Yanan Zhang, Yong Zhang, Da Guo, Mei Song
2016 J jnl
An optimization model for fragmentation-based routing in delay tolerant networks.
Sci. China Inf. Sci.
Xuyan Bao, Yong Zhang, Da Guo, Mei Song
2016 — conf
Energy-Saving Power Allocation Scheme for Relay Networks Based on Graphical Method of Classification.
HCC
Yifei Wei, Hengyu Lai, Xia Gong, Da Guo, Chunping Hou
2016 — conf
Investigation on Mobility Model in Opportunistic Network.
HCC
Ruonan Li, Yong Zhang, Da Guo, Zhaohua Chen, Chunping Hou
2016 — conf
Single Link Routing Protocol for Wireless Sensor Network.
HCC
Haolei Huang, Yong Zhang, Da Guo, Yifei Wei, Juan Chen, Xuyan Bao
2016 J jnl
The Dynamic Spectrum Aggregation Strategy for Cognitive Networks Based on Markov Model.
CoRR
Yifei Wei, Qiao Li, Xia Gong, Da Guo, Yong Zhang
2015 Misc conf
A green smart topology management system based on network situation awareness.
ICNC
Ke Bi, Yifei Wei, Mei Song, Da Guo
2015 — conf
Spectrum aggregation strategy in multi-user cooperative relay networks.
FSKD
Xia Gong, Yifei Wei, Yong Zhang, Da Guo
2014 — conf
An Novel Message Delivery Mechanism in Opportunistic Networks.
HCC
Gang Cheng, Yong Zhang, Mei Song, Da Guo, Deyu Yuan, Xuyan Bao
2014 — conf
Quantum-Inspired Shuffled Frog Leaping Algorithm for Spectrum Sensing in Cooperative Cognitive Radio Network.
HCC
Cheng Chen, Yong Zhang, Mei Song, Gang Cheng, Da Guo, Jinlong Cao, Xuyan Bao
2014 — conf
The influence of acupuncture therapy on early rehabilitation following anterior cruciate ligament reconstruction: A randomized controlled trial.
BIBM
Jianke Pan, Da Guo, Kunhao Hong, Hui Xie, Xuewei Cao, Jun Liu
2013 — conf
Mutual information mining for component law and development of new recipes for ankylosing spondylitis.
BIBM
Qingzhong Qiu, Da Guo, Jianke Pan, Jiajing Lu, Jun Liu, Xuewei Cao
2013 — conf
Mutual information mining for component law and development of new recipes for rheumatoid arthritis.
BIBM
Qingzhong Qiu, Da Guo, Jianke Pan, Zhenwei Ma, Jun Liu, Xuewei Cao
2013 — conf
Study on the distinguishing feature in use of Chinese drugs on cervical spondylosis patients in perimenopausal period through data mining methods.
BIBM
Jun Liu, Jianke Pan, Ji-yuan Yang, Da Guo, Wei-Yi Yang, Xiang Li, Yu-yao Wan, Shu-chai Xu
2012 — conf
Effect of "Shenque" Qi distribution theory on malignant Bone cancer patients' quality of life(QOL) during chemotherapy.
BIBM Workshops
Xiaoyong Lin, Jian Li, Jianke Pan, Jun Liu, Da Guo
2012 — conf
Prof. Liu Jinwen's experience on treating knee osteoarthritis.
BIBM Workshops
Jian Li, Da Guo, Liu Jinwen, Jianke Pan, Lufeng Huang, Jun Liu
2012 — conf
Research on optimal Traditional Chinese Medicine treatment of knee ostarthritis with data mining algorithms.
BIBM Workshops
Da Guo, Jian Li, Gang Zhang, Weixiang Lu, Shaojian Xu, Jun Liu
2012 — conf
Study on the law of ancient herbs in the treatment of osteoarthritis.
BIBM Workshops
Binshan Zhang, Jian Li, Xuewei Cao, Jianke Pan, Da Guo
2012 — conf
Therapeutic effectiveness evaluation on Shishi manipulation for knee osteoarthritis.
BIBM Workshops
Chongli Deng, Jian Li, Xuewei Cao, Jun Liu, Tao Yu, Da Guo
2012 — conf
Treating Non-infectious Fever after Orthopedic Surgery by nourishing yin: An inspiration from systematized identification of warm diseases.
BIBM Workshops
Zhichao Tan, Da Guo, Lufeng Huang, Xuewei Cao, Jun Liu
2004 C conf
Flow Feature Extraction in Oceanographic Visualization.
Computer Graphics International
Da Guo, Constantinos Evangelinos, Nicholas M. Patrikalakis