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2020 – today
- 2024
[j59]Zhonghua He, Gaofeng Fan, Xiang Li, Fang-Ying Gong, Miao Liang, Ling Gao, Minqiang Zhou:
Spatio-temporal modeling of satellite-observed CO2 columns in China using deep learning. Int. J. Appl. Earth Obs. Geoinformation 129: 103859 (2024)- [j58]Yulin Qin
, Jie Zheng, Hai Wang, Ling Gao, Yuhui Ma, Shuo Ji, Yi Liu, Jie Ren, Rui Cao, Yongxing Zheng:
Online Learning to parallel offloading in heterogeneous wireless networks. Comput. Commun. 218: 253-262 (2024) - [j57]Ling Gao, Hongda Zhang, Nan Sheng, Lida Shi, Hao Xu:
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering. Expert Syst. Appl. 238(Part E): 122239 (2024) - [j56]Ling Gao, Hongda Zhang, Yiming Liu, Nan Sheng, Haotian Feng, Hao Xu:
PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering. Expert Syst. Appl. 251: 124011 (2024) - [j55]Wei Wang, Pengyu Huang, Na Xu, Jun Li, Di Di, Zhiqing Zhang, Ling Gao, Zhenming Ji, Min Min:
Evaluating the First Year On-Orbit Radiometric Calibration Performance of GIIRS Onboard Fengyun-4B. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j54]Yidan Si, Ling Gao, Lin Chen, Qiaoxu Tan, Xingying Zhang, Bo Li, Huanhuan Yan, Xiaohu Zhang, Feng Lu, Xiaohan Zhang:
An Adaptive Dark-Target Algorithm for Retrieving Land AOD Applied to FY-4B/AGRI Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14035-14049 (2024) - [j53]Nan Sheng, Xuping Xie, Yan Wang, Lan Huang, Shuangquan Zhang, Ling Gao, Hao Wang:
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 328-347 (2024) - [j52]Xiaoqing Tian, Ling Gao, Chengcai Li, Jun Li:
Retrieving High Temporal Resolution Aerosol Layer Height From EPIC/DSCOVR Using Machine Learning Method. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j51]Jie Ren, Ling Gao, Zheng Wang:
JavaScript Performance Tuning as a Crowdsourced Service. IEEE Trans. Mob. Comput. 23(5): 6116-6132 (2024) - [c55]Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CVPR 2024: 14596-14605 - [c54]Xiaoyan Sun, Yan Li, De Cheng, Dingwen Zhang, Ling Gao, Luofeng Zhai, Jiande Sun:
Gradient and Brightness Guided Low-Light Enhancement with Attention-Based Self-Paced Learning. ICASSP 2024: 3435-3439 - [i15]Ling Gao, Daniel Gehrig, Hang Su, Davide Scaramuzza, Laurent Kneip:
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras. CoRR abs/2404.00842 (2024) - 2023
- [j50]Nan Sheng, Yan Wang, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yuan Fu:
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases. Briefings Bioinform. 24(5) (2023) - [j49]Nan Sheng, Lan Huang, Yuting Lu, Hao Wang, Lili Yang, Ling Gao, Xuping Xie, Yuan Fu, Yan Wang:
Data resources and computational methods for lncRNA-disease association prediction. Comput. Biol. Medicine 153: 106527 (2023) - [j48]Xu Zhao, Guangqiu Huang, Jin Jiang, Ling Gao, Maozhen Li:
Corrigendum to 'Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing' Computer & Security, 111(2021) 102463. Comput. Secur. 125: 103004 (2023) - [j47]Hai Wang, Yan Wang, Yuhui Ma, Chenguang Qin, Kan Zhang, Ling Gao, Jie Ren:
Noise processing and multitask learning for far-field dialect classification. Concurr. Comput. Pract. Exp. 35(13) (2023) - [j46]Yuerong Zhao, Hongbo Guo, Ling Gao, Hai Wang, Jie Zheng, Kan Zhang, Yong Zheng:
Multifeature fusion action recognition based on key frames. Concurr. Comput. Pract. Exp. 35(21) (2023) - [j45]Ling Gao, Li Xu, Yuexin Zhang, Wei Lin:
Secure transmission for reconfigurable intelligent surface assisted communication with CV-DDPG. IET Commun. 17(18): 2107-2118 (2023) - [j44]Rui Cao, Yihao Wang, Ling Gao, Meng Yang:
DictPrompt: Comprehensive dictionary-integrated prompt tuning for pre-trained language model. Knowl. Based Syst. 273: 110605 (2023) - [j43]Shaomin Shi, Ling Gao, Juan Zhang, Baifang Zhang, Jing Xiao, Wan Xu, Yuan Tian, Lihua Ni, Xiaoyan Wu:
The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients. BMC Medical Informatics Decis. Mak. 23(1): 241 (2023) - [j42]Xueshuai Lv, Mengyao Li, Rumeng Zhang, Ling Gao:
CTLC: A Co-Training-Based Label Correction Method for Webly-Supervised Learning. Neural Process. Lett. 55(9): 12401-12419 (2023) - [j41]Nan Sheng, Lan Huang, Ling Gao, Yangkun Cao, Xuping Xie, Yan Wang:
A Survey of Computational Methods and Databases for lncRNA-MiRNA Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2810-2826 (2023) - [j40]Jie Zheng, Haijun Zhang, Jiawen Kang, Ling Gao, Jie Ren, Dusit Niyato:
Covert Federated Learning via Intelligent Reflecting Surfaces. IEEE Trans. Commun. 71(8): 4591-4604 (2023) - [c53]Nan Sheng, Lan Huang, Yan Wang, Ling Gao, Huiyan Sun, Xuping Xie:
Contrastive self-supervised graph convolutional network for detecting the relationship among lncRNAs, miRNAs, and diseases. BIBM 2023: 622-629 - [c52]Mengyao Li, Xueshuai Lv, Ling Gao, Rumeng Zhang:
Unsupervised Person Re-identification with Multi-Level Feature Contrastive Learning. CNIOT 2023: 918-923 - [c51]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. ICCV 2023: 8015-8025 - [i14]Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip:
A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. CoRR abs/2309.17054 (2023) - 2022
- [j39]Ling Gao, Hui Cui, Tiangang Zhang, Nan Sheng, Ping Xuan:
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets. Briefings Bioinform. 23(1) (2022) - [j38]Nan Sheng, Lan Huang, Yan Wang, Jing Zhao, Ping Xuan, Ling Gao, Yangkun Cao:
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction. Briefings Bioinform. 23(2) (2022) - [j37]Ping Xuan, Xiangfeng Meng, Ling Gao, Tiangang Zhang, Toshiya Nakaguchi:
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association prediction. Briefings Bioinform. 23(3) (2022) - [j36]Jiping Yang, Shuang Li, Ling Gao, Xingchao Wang:
Longitudinal associations among peer pressure, moral disengagement and cyberbullying perpetration in adolescents. Comput. Hum. Behav. 137: 107420 (2022) - [j35]Xudong Yang, Ling Gao, Yan Li, Jipeng Xu, Jie Zheng, Hai Wang, Quanli Gao:
A Semantic-Based Dual Location Privacy-Preserving Approach. IEICE Trans. Inf. Syst. 105-D(5): 982-995 (2022) - [j34]Hai Wang, Hongbo Guo, Kan Zhang, Ling Gao, Jie Zheng:
Automatic sleep staging method of EEG signal based on transfer learning and fusion network. Neurocomputing 488: 183-193 (2022) - [j33]Xin Peng, Ling Gao, Yifu Wang, Laurent Kneip:
Globally-Optimal Contrast Maximisation for Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3479-3495 (2022) - [j32]Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. IEEE Robotics Autom. Lett. 7(3): 8217-8224 (2022) - [j31]Yifu Wang, Jiaqi Yang, Xin Peng, Peng Wu, Ling Gao, Kun Huang, Jiaben Chen, Laurent Kneip:
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization. Sensors 22(15): 5687 (2022) - [j30]Xiaoqing Tian, Ling Gao, Jun Li, Lin Chen, Jingjing Ren, Chengcai Li:
Retrieval of Atmospheric Aerosol Optical Depth From AVHRR Over Land With Global Coverage Using Machine Learning Method. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c50]Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang:
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding. ACL (Findings) 2022: 3138-3152 - [c49]Chenge Jia, Jie Ren, Ling Gao, Zhiqiang Li, Jie Zheng, Zheng Wang:
Adaptive Model Selection for Video Super Resolution. HPCC/DSS/SmartCity/DependSys 2022: 1088-1094 - [c48]Junlin Zhao, Tianlin Zhang, Ling Gao, Wenbo Wan, Jian Wang:
A Lightweight 3D Segmentation Network for Abdominal Liver in CT Image. ICAIP 2022: 40-45 - [c47]Ling Gao, Laurent Kneip:
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization. ICRA 2022: 4142-4148 - [i13]Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang:
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embeddin. CoRR abs/2202.13093 (2022) - [i12]Ling Gao, Junyan Su, Jiadi Cui, Xiangchen Zeng, Xin Peng, Laurent Kneip:
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles. CoRR abs/2203.00291 (2022) - [i11]Ling Gao, Laurent Kneip:
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization. CoRR abs/2203.00292 (2022) - [i10]Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip:
Globally-Optimal Event Camera Motion Estimation. CoRR abs/2203.03914 (2022) - [i9]Xin Peng, Ling Gao, Yifu Wang, Laurent Kneip:
Globally-Optimal Contrast Maximisation for Event Cameras. CoRR abs/2206.05127 (2022) - [i8]Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip:
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM. CoRR abs/2207.01404 (2022) - 2021
- [j29]Xu Zhao, Guangqiu Huang, Jin Jiang, Ling Gao, Maozhen Li:
Research on lightweight anomaly detection of multimedia traffic in edge computing. Comput. Secur. 111: 102463 (2021) - [j28]Jie Ren, Ling Gao, Xiaoming Wang, Miao Ma, Guoyong Qiu, Hai Wang, Jie Zheng, Zheng Wang:
Adaptive Computation Offloading for Mobile Augmented Reality. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(4): 175:1-175:30 (2021) - [j27]Xu Zhao, Guangqiu Huang, Ling Gao, Maozhen Li, Quanli Gao:
Low load DIDS task scheduling based on Q-learning in edge computing environment. J. Netw. Comput. Appl. 188: 103095 (2021) - [j26]Ping Xuan, Ling Gao, Nan Sheng, Tiangang Zhang, Toshiya Nakaguchi:
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease Associations. IEEE J. Biomed. Health Informatics 25(5): 1793-1804 (2021) - [j25]Jie Zheng, Ling Gao, Haijun Zhang, Dusit Niyato, Jie Ren, Hai Wang, Hongbo Guo, Zheng Wang:
eICIC Configuration of Downlink and Uplink Decoupling With SWIPT in 5G Dense IoT HetNets. IEEE Trans. Wirel. Commun. 20(12): 8274-8287 (2021) - [c46]Shuaiyu Jia, Ling Gao, Hongbo Guo, Qinyu Sun, Hai Wang, Jie Zheng:
Action Recognition Based on Parallel Multi-Granularity Feature Refinement Networks. CBD 2021: 189-194 - [c45]Qinyu Sun, Ling Gao, Hongbo Guo, Shuaiyu Jia, Hai Wang, Jie Zheng:
Action recognition based on parallel convolutional recurrent neural networks. CBD 2021: 195-200 - [c44]Yihao Wang, Ling Gao, Jie Ren, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao:
ESOD: Edge-based Task Scheduling for Object Detection. CBD 2021: 273-278 - [c43]Jie Ren, Ling Gao, Quanli Gao, Yumeng Hao, Jiale Hou, Hai Wang, Jie Zheng:
Adaptive Bitrate Encoding Strategy for ROI-based Mobile Augmented Reality. CBD 2021: 321-326 - [c42]Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao:
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding. ICANN (5) 2021: 448-459 - [c41]Yihao Wang, Ling Gao, Jie Ren, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao:
ATO-EDGE: Adaptive Task Offloading for Deep Learning in Resource-Constrained Edge Computing Systems. ICPADS 2021: 153-160 - [c40]Xudong Yang, Ling Gao, Hai Wang, Yan Li, Jie Zheng, Jipeng Xu, Yuhui Ma:
A User-related Semantic Location Privacy Protection Method In Location-based Service. ICPADS 2021: 691-698 - [i7]Yuxin Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao:
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding. CoRR abs/2104.05274 (2021) - [i6]Yifu Wang, Jiaqi Yang, Xin Peng, Peng Wu, Ling Gao, Kun Huang, Jiaben Chen, Laurent Kneip:
Visual Odometry with an Event Camera Using Continuous Ray Warping and Volumetric Contrast Maximization. CoRR abs/2107.03011 (2021) - [i5]Yihao Wang, Ling Gao, Jie Ren, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao:
ESOD: Edge-based Task Scheduling for Object Detection. CoRR abs/2110.11342 (2021) - 2020
- [j24]Xudong Yang, Ling Gao, Jie Zheng, Wei Wei:
Location Privacy Preservation Mechanism for Location-Based Service With Incomplete Location Data. IEEE Access 8: 95843-95854 (2020) - [j23]Shaojun Wu, Ling Gao:
Multi-Level Joint Feature Learning for Person Re-Identification. Algorithms 13(5): 111 (2020) - [j22]Shaojun Wu, Ling Gao:
Cross-Camera Erased Feature Learning for Unsupervised Person Re-Identification. Algorithms 13(8): 193 (2020) - [j21]Gang Sun, Xiaoyan Liu, Junhui Gong, Ling Gao:
Artery-venous classification in fluorescein angiograms based on region growing with sequential and structural features. Comput. Methods Programs Biomed. 190: 105340 (2020) - [j20]Jie Zheng, Ling Gao, Hai Wang, Jinping Niu, Jie Ren, Hongbo Guo, Xudong Yang, Yi Liu:
Smart Edge Caching-Aided Partial Opportunistic Interference Alignment in HetNets. Mob. Networks Appl. 25(5): 1842-1850 (2020) - [j19]Qiang Li, Ling Gao:
A New Strategy for One-Example Person re-ID: Exploit the Unlabeled Data Gradually Base on Style-Transferred Images. Symmetry 12(5): 689 (2020) - [c39]Hai Wang, Chenguang Qin, Kan Zhang, Ling Gao, Jie Ren:
Noise processing and multi-task learning for far-field dialect classification. CBD 2020: 143-148 - [c38]Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip:
Globally-Optimal Event Camera Motion Estimation. ECCV (26) 2020: 51-67 - [c37]Ling Gao, Junyan Su, Jiadi Cui, Xiangchen Zeng, Xin Peng, Laurent Kneip:
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles. ICRA 2020: 2696-2702 - [c36]Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang:
Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions. INFOCOM 2020: 119-128 - [i4]Jie Ren, Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang:
Smart, Adaptive Energy Optimization for Mobile Web Interactions. CoRR abs/2005.00749 (2020)
2010 – 2019
- 2019
- [j18]Qizheng Wang, Ling Gao, Hao Wang, Xiaochao Wei:
Face Detection for Privacy Protected Images. IEEE Access 7: 3918-3927 (2019) - [j17]Lu Yuan, Jie Ren, Ling Gao, Zhanyong Tang, Zheng Wang:
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Systems. IEEE Access 7: 139394-139408 (2019) - [j16]Mingxin Gan, Ling Gao:
Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks. ISPRS Int. J. Geo Inf. 8(6): 279 (2019) - [j15]Liyuan Xiao, Ling Gao, Xiaoqin Dai, Zhao Li, Yanyan Han:
User selection for MIMO downlink employing NOMA. J. Comput. Methods Sci. Eng. 19(3): 817-826 (2019) - [j14]Jie Zheng, Ling Gao, Hai Wang, Xiaoya Li, Pengfei Xu, Lin Wang, Bo Jiang, Xudong Yang:
Joint Downlink and Uplink Edge Computing Offloading in Ultra-Dense HetNets. Mob. Networks Appl. 24(5): 1452-1460 (2019) - [j13]Ling Gao, Lin Chen, Jun Li, Andrew K. Heidinger, Xiaofeng Xu, Shiguang Qin:
A Long-Term Historical Aerosol Optical Depth Data Record (1982-2011) Over China From AVHRR. IEEE Trans. Geosci. Remote. Sens. 57(5): 2467-2480 (2019) - [c35]Xiao Zhang, Ling Gao, Yang Jiang, Xudong Yang, Jie Zheng, Hai Wang:
A Zero-Shot Intrusion Detection Method Based on Regression Model. CBD 2019: 186-191 - [c34]Xudong Yang, Ling Gao, Hai Wang, Jie Zheng, Hongbo Guo:
A Semantic k-Anonymity Privacy Protection Method for Publishing Sparse Location Data. CBD 2019: 216-222 - [c33]Yuerong Zhao, Ling Gao, Dan He, Hongbo Guo, Hai Wang, Jie Zheng, Xudong Yang:
Multi-feature Fusion Action Recognition Based on Key Frames. CBD 2019: 279-284 - [c32]Zixin Zhao, Ling Gao, Jie Ren, Lu Yuan, Chenguang Qin, Hai Wang, Jie Zheng:
Optimization for Mobile Streaming Media Based on Deep Q-Learning. CBD 2019: 285-290 - [c31]Yi Liu, Jie Zheng, Jie Ren, Ling Gao, Hai Wang:
Task Migration Using Q-Learning Network Selection for Edge Computing in Heterogeneous Wireless Networks. IoTaaS 2019: 141-150 - [c30]Hai Wang, Tong Feng, Zhe Ren, Ling Gao, Jie Zheng:
Towards Efficient Privacy-Preserving Personal Information in User Daily Life. IoTaaS 2019: 503-513 - [i3]Lu Yuan, Jie Ren, Ling Gao, Zhanyong Tang, Zheng Wang:
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores. CoRR abs/1906.08689 (2019) - 2018
- [j12]Jie Zheng, Ling Gao, Haijun Zhang, Dongxiao Zhu, Hai Wang, Quanli Gao, Victor C. M. Leung:
Joint Energy Management and Interference Coordination With Max-Min Fairness in Ultra-Dense HetNets. IEEE Access 6: 32588-32600 (2018) - [j11]Chunyan Lian, Yixiong Liang, Rui Kang, Yuan Mao, Yao Xiang, Ling Gao:
A Novel Diabetic Retinopathy Classification Scheme based on Compact Bilinear Pooling CNN and Gradient Boosted Decision Tree. J. Inf. Hiding Multim. Signal Process. 9(4): 821-829 (2018) - [c29]Mingxin Gan, Ling Gao, Yang Han:
Does Daily Travel Pattern Disclose People's Preference? HICSS 2018: 1-10 - [c28]Jie Zheng, Ling Gao, Haijun Zhang, Hai Wang, Jinping Niu, Xiaoya Li, Jie Ren:
Max-Min Energy-Efficient eICIC Configuration in Heterogeneous Network. ICC 2018: 1-6 - [c27]Jie Zheng, Ling Gao, Dongxiao Zhu, Hai Wang, Qian Sun, Jinping Niu, Xiaoya Li, Jianfeng Yang:
Joint Energy-Efficient Optimization of Downlink and Uplink with eICIC in HetNet. IoTaaS 2018: 333-339 - [c26]Qing Qin, Jie Ren, Jialong Yu, Hai Wang, Ling Gao, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang:
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018: 729-736 - [i2]Qing Qin, Jie Ren, Jialong Yu, Ling Gao, Hai Wang, Jie Zheng, Yansong Feng, Jianbin Fang, Zheng Wang:
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference. CoRR abs/1810.08899 (2018) - 2017
- [j10]Jie Ren, Ling Gao, Hai Wang, Quanli Gao, Zhewen Zhang:
Energy-Aware Download Method in LTE Based Smartphone. IEICE Trans. Inf. Syst. 100-D(2): 304-312 (2017) - [j9]Quanli Gao, Ling Gao, Jianping Fan, Jie Ren:
A preference elicitation method based on bipartite graphical correlation and implicit trust. Neurocomputing 237: 92-100 (2017) - [j8]Jie Zheng, Ling Gao, Hai Wang, Jinping Niu, Xiaoya Li, Jie Ren:
EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks. Wirel. Commun. Mob. Comput. 2017 (2017) - [c25]Jie Zheng, Ling Gao, Hai Wang, Jinping Niu, Xiaoya Li, Jie Ren:
Joint User Association and ABS for Energy-Efficient eICIC in Heterogeneous Cellular Network. ChinaCom (2) 2017: 95-101 - [c24]Ling Gao, Zicong Deng, Yinliang Xu:
The electricity trading system based on distributed coordination method in a micro-grid. IECON 2017: 459-464 - [c23]Jie Ren, Ling Gao, Hai Wang, Zheng Wang:
Optimise web browsing on heterogeneous mobile platforms: A machine learning based approach. INFOCOM 2017: 1-9 - [i1]Jie Ren, Ling Gao, Hai Wang, Zheng Wang:
Energy-aware Web Browsing on Heterogeneous Mobile Platforms. CoRR abs/1710.03559 (2017) - 2016
- [j7]Ling Gao, Jun Li, Lin Chen, Liyang Zhang, Andrew K. Heidinger:
Retrieval and Validation of Atmospheric Aerosol Optical Depth From AVHRR Over China. IEEE Trans. Geosci. Remote. Sens. 54(11): 6280-6291 (2016) - 2015
- [j6]Jie Ren, Ling Gao, Hai Wang, Yan Chen:
A Method of Power Aware Large Data Download on Smartphone. IEICE Trans. Inf. Syst. 98-D(1): 131-139 (2015) - [j5]Jianping Fan, Ji Zhang, Kuizhi Mei, Jinye Peng, Ling Gao:
Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection. Pattern Recognit. 48(5): 1673-1687 (2015) - [j4]Jianping Fan, Ning Zhou, Jinye Peng, Ling Gao:
Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification. IEEE Trans. Image Process. 24(11): 4172-4184 (2015) - [j3]Kuizhi Mei, Jinye Peng, Ling Gao, Naiquan (Nigel) Zheng, Jianping Fan:
Hierarchical Classification of Large-Scale Patient Records for Automatic Treatment Stratification. IEEE J. Biomed. Health Informatics 19(4): 1234-1245 (2015) - [c22]Jianping Fan, Jinye Peng, Ling Gao, Ning Zhou:
Hierarchical learning of tree classifiers for large-scale plant species identification. ICSC 2015: 389-396 - 2014
- [c21]Ni Gao, Ling Gao, Quanli Gao, Hai Wang:
An Intrusion Detection Model Based on Deep Belief Networks. CBD 2014: 247-252 - 2013
- [c20]Qian Sun, Ling Gao, Hai Wang, Chao Xu:
A Dynamic Polling Strategy Based on Prediction Model for Large-Scale Network Monitoring. CBD 2013: 8-13 - [c19]Jie Ren, Hai Wang, Ling Gao:
Research on Low Energy Consumption of Mass Data Download in Smartphone. CBD 2013: 20-26 - [c18]Ni Gao, Ling Gao, Yiyue He, Hai Wang, Qian Sun:
Topic Detection Based on Group Average Hierarchical Clustering. CBD 2013: 88-92 - [c17]Ling Gao, Shouxin Ren:
Resolution of overlapping fluorescence spectra using the kernel learning machine. ICNC 2013: 60-64 - 2012
- [c16]Ling Gao, Shouxin Ren:
Simultaneous multicomponent organic compound analysis using two intelligent signal processing methods. BMEI 2012: 592-596 - [c15]Shouxin Ren, Ling Gao:
Simultaneous multicomponent polycyclic aromatic hydrocarbon analysis using an independent component analysis-based latent variable regression. ICNC 2012: 275-279 - [c14]Ling Gao, Shouxin Ren:
Combining blind source analysis and Elman recurrent neural network to determine overlapping voltammograms. ICNC 2012: 335-339 - 2011
- [c13]Shouxin Ren, Ling Gao:
Resolve of Multicomponent Mixtures Using Voltammetry and a Hybrid Artificial Neural Network Method. AICI (3) 2011: 310-317 - [c12]Ling Gao, Shouxin Ren:
Simultaneous Multicomponent Spectrophotometric Kinetic Determination by a Hybrid Intelligent Computing Method. AICI (1) 2011: 348-355
2000 – 2009
- 2009
- [c11]Hailin Xie, Ling Gao, Lin Zhang, Zhe Zhang, Min Yang:
An Efficient Caching Mechanism for Video-on-Demand Service over Peer-to-Peer Network. ScalCom-EmbeddedCom 2009: 251-256 - [c10]Shouxin Ren, Ling Gao:
Linking Direct Orthogonal Signal Correction and Wavelet Transform with Radial Basis Function Neural Network to Analyze Overlapping Spectra. WKDD 2009: 48-51 - [c9]Ling Gao, Shouxin Ren:
Improvement of Prediction Ability of Multicomponent Regression Model by a Method Based on Data Mining in Chemometrics. WKDD 2009: 195-198 - 2008
- [j2]Qubo You, Nanning Zheng, Ling Gao, Shaoyi Du, Yang Wu:
Analysis of Solution for Supervised Graph Embedding. Int. J. Pattern Recognit. Artif. Intell. 22(7): 1283-1299 (2008) - [j1]Qubo You, Nanning Zheng, Ling Gao, Shaoyi Du, Jianyi Liu:
Solution for supervised graph embedding: A case study. Signal Process. 88(9): 2293-2301 (2008) - [c8]Ling Gao, Shouxin Ren:
Multicomponent Kinetic Determination Using an Artificial Neural Network with Maximum Likelihood Principal Component Analysis. ICNC (3) 2008: 469-473 - [c7]Shouxin Ren, Ling Gao:
The Speciation of Iron by a Wavelet Packet Transform Based Generalized Regression Neural Network. ICNC (2) 2008: 594-598 - 2007
- [c6]Pengpeng Zhao, Chao Lin, Ling Gao, Zhiming Cui:
Deep Web Sources Focused Crawling. Enterprise Information Systems and Web Technologies 2007: 95-99 - 2006
- [c5]Li Shen, Heng Huang, James Ford, Chia-Hsin Lu, Ling Gao, Wei Zheng, Fillia Makedon, Justin D. Pearlman:
Spatio-temporal analysis tool for modeling pulmonary nodules in MR images. Image-Guided Procedures 2006: 61412I - 2005
- [c4]Ling Gao, Zheng Wang, Ting Zhang:
Online Internet Traffic Prediction Models Based on MMSE. ICCNMC 2005: 1253-1262 - [c3]Li Shen, Ling Gao, Zhenwu Zhuang, Ebo DeMuinck, Heng Huang, Fillia Makedon, Justin D. Pearlman:
An interactive 3D visualization and manipulation tool for effective assessment of angiogenesis and arteriogenesis using computed tomographic angiography. Image-Guided Procedures 2005 - [c2]Heng Huang, Li Shen, James Ford, Fillia Makedon, Rong Zhang, Ling Gao, Justin D. Pearlman:
Functional analysis of cardiac MR images using SPHARM modeling. Image Processing 2005 - [c1]Heng Huang, Li Shen, Fillia Makedon, Sheng Zhang, Mark Greenberg, Ling Gao, Justin D. Pearlman:
A clustering-based approach for prediction of cardiac resynchronization therapy. SAC 2005: 260-266
Coauthor Index
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