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ORCIDLing Huang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j122]Xiaobo Zhang, Zhangqin Huang, Ling Huang, Huapeng Yang:
Resource allocation strategy based on service function Chaining in Multi-Access edge computing network. J. King Saud Univ. Comput. Inf. Sci. 36(3): 102001 (2024)- [j121]Yan Lu
, Yuchao Zhao, Mingkai Yang, Yanli Zhao, Ling Huang, Binge Cui:
BI²Net: Graph-Based Boundary-Interior Interaction Network for Raft Aquaculture Area Extraction From Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j120]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. 97: 103223 (2024) - [j119]Ling Huang, Haitao Lu:
Design of intelligent financial data management system based on higher-order hybrid clustering algorithm. PeerJ Comput. Sci. 10: e1799 (2024) - [j118]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2843-2857 (2024) - [j117]Shinan Lang, Wenbin Huang, Ling Huang, Xiaojun Liu:
A Hybrid Inversion Method Based on SDM and ANNs Considering Electromagnetic Response Laws. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - [c127]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF 2024: 49-57 - [c126]Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng:
An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. BELIEF 2024: 78-86 - [i29]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR abs/2406.13487 (2024) - [i28]Xiaoyu Guo, Pengzhi Zhong, Lizhi Lin, Hao Zhang, Ling Huang, Shuiwang Li:
Tracking Reflected Objects: A Benchmark. CoRR abs/2407.05235 (2024) - 2023
- [b1]Ling Huang:
Medical Image Segmentation with Belief Function Theory and Deep Learning. (Segmentation d'images médicales avec théorie des fonctions de croyance et apprentissage profond). University of Technology of Compiègne, France, 2023 - [j116]Jiayue Lu, Jifan Chen, Ling Huang, Siheng Wang, Yingbo Shen, Sheng Chen, Zhangqi Shen, Rong Zhang:
Rapid Identification of Species, Antimicrobial-Resistance Genotypes and Phenotypes of Gram-Positive Cocci Using Long Short-Term Memory Raman Spectra Methods. Adv. Intell. Syst. 5(4) (2023) - [j115]Ling Huang, Su Ruan, Thierry Denoeux:
Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing 535: 40-52 (2023) - [j114]Ling Huang, Su Ruan, Thierry Denoeux:
Application of belief functions to medical image segmentation: A review. Inf. Fusion 91: 737-756 (2023) - [j113]Yuefang Gao, Zhen-Wei Huang, Zi-Yuan Huang, Ling Huang, Yingjie Kuang, Xiaojun Yang:
Multi-scale broad collaborative filtering for personalized recommendation. Knowl. Based Syst. 278: 110853 (2023) - [j112]Ling Huang, Han Wu, Yidong Lou, Hongping Zhang, Lilong Liu, Liangke Huang:
Spatiotemporal Analysis of Regional Ionospheric TEC Prediction Using Multi-Factor NeuralProphet Model under Disturbed Conditions. Remote. Sens. 15(1): 195 (2023) - [j111]Binge Cui, Yanli Zhao, Mingkai Yang, Ling Huang, Yan Lu:
Reverse Attention Dual-Stream Network for Extracting Laver Aquaculture Areas From GF-1 Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5271-5283 (2023) - [j110]Ling Huang, Chang-Dong Wang, Philip S. Yu:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j109]Jingyu Gao, Xiaojun Liu, Wanhua Zhu, Maxim Smirnov, Thorkild Maack Rasmussen, Ling Huang, Jiankai Li, Guangyou Fang:
Three-Dimensional Transient Electromagnetic Forward Modeling for Simulating Arbitrary Source Waveform Using Convolution Approach. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j108]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan:
Adversarial Spam Detector With Character Similarity Network. IEEE Trans. Ind. Informatics 19(3): 2541-2551 (2023) - [j107]Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang:
Hybrid-Order Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12249-12263 (2023) - [j106]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j105]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9671-9684 (2023) - [c125]Chutian Yang, Xiping He, Qixian Kuang, Ling Huang, Lingling Tao:
Transformer-based high-fidelity StyleGAN inversion for face image editing. BDIOT 2023: 76-81 - [c124]Shuaiyao Ning, Caixia Yuan, Xiaojie Wang, Ling Huang:
Importance Guided Query Focused Long-Input Summarization. CCIS 2023: 295-299 - [c123]Han Yu, Wenjie Shen, Ling Huang, Caixia Yuan:
Manipulating Multi-Agent Navigation Task Via Emergent Communications. CCIS 2023: 351-355 - [c122]Ling Huang, Yukun Jia, Gaoli Chang:
EEG-based Attention Grading And Channel Redundancy Testing. EITCE 2023: 760-765 - [c121]Ling Huang, Hao Zeng, Chegnyuan Ma:
Human similarity behaviour classification based on through-wall radar. EITCE 2023: 806-811 - [c120]Huapeng Yang, Zhangqin Huang, Yu Liang, Xiaobo Zhang, Ling Huang, Shen Qiu:
IVAS: An Intelligent Video Analysis System based on Edge Computing. LCN 2023: 1-4 - [i27]Ling Huang:
Medical Image Segmentation with Belief Function Theory and Deep Learning. CoRR abs/2309.05914 (2023) - [i26]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR abs/2309.05919 (2023) - [i25]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR abs/2310.06873 (2023) - 2022
- [j104]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. 149: 39-60 (2022) - [j103]Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang:
GHOC: A generative model for hybrid-order community detection. Int. J. Intell. Syst. 37(11): 9055-9079 (2022) - [j102]Hao Sun, Ling Huang, Liang He:
Research on the Trajectory Tracking Control of a 6-DOF Manipulator Based on Fully-Actuated System Models. J. Syst. Sci. Complex. 35(2): 641-659 (2022) - [j101]Ling Huang, Bin Shuai:
A Predictive and Trajectory-Aware Edge Service Allocation Approach in a Mobile Computing Environment. Int. J. Web Serv. Res. 19(1): 1-18 (2022) - [j100]Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang:
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. Knowl. Based Syst. 243: 108463 (2022) - [j99]Ling Huang, Cong Bai, Yijuan Lu, Shaobo Zhang, Shengyong Chen:
Unsupervised adversarial image retrieval. Multim. Syst. 28(2): 673-685 (2022) - [j98]Lijuan Wang, Ling Huang, Mengsha Li, Xiaotong Wang, Shiyu Wang, Yuefa Lin, Xilin Zhang:
An awareness-dependent mapping of saliency in the human visual system. NeuroImage 247: 118864 (2022) - [j97]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li:
A Model-Bias Matrix Factorization Approach for Course Score Prediction. Neural Process. Lett. 54(5): 3583-3600 (2022) - [j96]Meng Cai, Junyu Li, Lilong Liu, Liangke Huang, Lv Zhou, Ling Huang, Hongchang He:
Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods. Remote. Sens. 14(15): 3762 (2022) - [j95]Jiahao Li, Lv Zhou, Zilin Zhu, Jie Qin, Lingxiao Xian, Di Zhang, Ling Huang:
Surface Deformation Mechanism Analysis in Shanghai Areas Based on TS-InSAR Technology. Remote. Sens. 14(17): 4368 (2022) - [j94]Lvquan Wei, Junyu Li, Lilong Liu, Liangke Huang, Dunyong Zheng, Xiangyu Tian, Ling Huang, Lv Zhou, Chao Ren, Hongchang He:
Lithosphere Ionosphere Coupling Associated with Seismic Swarm in the Balkan Peninsula from ROB-TEC and GPS. Remote. Sens. 14(19): 4759 (2022) - [j93]Xin Xu, Ling Huang, Shun Wang, Yicai Ji, Xiaojun Liu, Guangyou Fang:
VLF/LF Lightning Location Based on LWPC and IRI Models: A Quantitative Study. Remote. Sens. 14(22): 5784 (2022) - [j92]Ling Huang, Linxia Li, Xiaoyuan Wei, Dongsheng Zhang:
Short-term prediction of wind power based on BiLSTM-CNN-WGAN-GP. Soft Comput. 26(20): 10607-10621 (2022) - [j91]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52(6): 5229-5241 (2022) - [j90]Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu:
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52(7): 5908-5922 (2022) - [j89]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j88]Diankun Zhang, Xiaojun Liu, Xiaodong Qu, Wanhua Zhu, Ling Huang, Guangyou Fang:
Analysis of Aeromagnetic Swing Noise and Corresponding Compensation Method. IEEE Trans. Geosci. Remote. Sens. 60: 1-10 (2022) - [j87]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. IEEE Trans. Ind. Informatics 18(3): 1458-1467 (2022) - [j86]Ling Huang, Xiang Xu, Haoran Ge, Heming Zhao:
Robust Unscented Quaternion Kalman Filter for Polar In-Motion Alignment and Virtual Polar Region Technology. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j85]Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai:
A BP Neural Network Based Recommender Framework With Attention Mechanism. IEEE Trans. Knowl. Data Eng. 34(7): 3029-3043 (2022) - [j84]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3405-3417 (2022) - [j83]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai:
Deep Rating and Review Neural Network for Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6726-6736 (2022) - [j82]Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie:
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6983-6997 (2022) - [c119]Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan:
Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) 2022: 401-411 - [i24]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR abs/2201.13078 (2022) - [i23]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-based Recommendation. CoRR abs/2203.06467 (2022) - [i22]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. CoRR abs/2204.11602 (2022) - [i21]Ling Huang, Su Ruan:
Application of belief functions to medical image segmentation: A review. CoRR abs/2205.01733 (2022) - [i20]Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan:
Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR abs/2206.11739 (2022) - 2021
- [j81]Ling Huang, Jing Guo, Bing Li:
Observer-Based Dynamic Event-Triggered Robust H∞ Control of Networked Control Systems Under DoS Attacks. IEEE Access 9: 145626-145637 (2021) - [j80]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68: 8-21 (2021) - [j79]Ling Huang, Jianping Wu, Ronghui Zhang, Dezong Zhao, Yinhai Wang:
Comparative Analysis & Modelling for Riders' Conflict Avoidance Behavior of E-Bikes and Bicycles at Un-Signalized Intersections. IEEE Intell. Transp. Syst. Mag. 13(4): 131-145 (2021) - [j78]Jiawei Wu, Ling Huang:
Global stabilization of linear systems subject to input saturation and time delays. J. Frankl. Inst. 358(1): 633-649 (2021) - [j77]Nan Luo, Ling Huang, Quan Wang, Gang Liu:
An Improved Algorithm Robust to Illumination Variations for Reconstructing Point Cloud Models from Images. Remote. Sens. 13(4): 567 (2021) - [j76]Lijie Guo, Liangke Huang, Junyu Li, Lilong Liu, Ling Huang, Bolin Fu, Shaofeng Xie, Hongchang He, Chao Ren:
A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements. Remote. Sens. 13(15): 3008 (2021) - [j75]Ge Zhu, Liangke Huang, Lilong Liu, Chen Li, Junyu Li, Ling Huang, Lv Zhou, Hongchang He:
A New Approach for the Development of Grid Models Calculating Tropospheric Key Parameters over China. Remote. Sens. 13(17): 3546 (2021) - [j74]Zhixiang Mo, Zhaoliang Zeng, Liangke Huang, Lilong Liu, Ling Huang, Lv Zhou, Chao Ren, Hongchang He:
Investigation of Antarctic Precipitable Water Vapor Variability and Trend from 18 Year (2001 to 2018) Data of Four Reanalyses Based on Radiosonde and GNSS Observations. Remote. Sens. 13(19): 3901 (2021) - [j73]Binge Cui, Wei Jing, Ling Huang, Zhongrui Li, Yan Lu:
SANet: A Sea-Land Segmentation Network Via Adaptive Multiscale Feature Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 116-126 (2021) - [j72]Ling Huang, Chang-Dong Wang, Hongyang Chao:
oComm: Overlapping Community Detection in Multi-View Brain Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1582-1595 (2021) - [j71]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu:
Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. 51(3): 1571-1585 (2021) - [j70]Lihua Liu, Jutao Li, Ling Huang, Xiaojun Liu, Guangyou Fang:
Double Clamping Current Inverter With Adjustable Turn-off Time for Bucking Coil Helicopter Transient Electromagnetic Surveying. IEEE Trans. Ind. Electron. 68(6): 5405-5414 (2021) - [j69]Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang:
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. IEEE Trans. Ind. Informatics 17(3): 1679-1688 (2021) - [j68]Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie:
Temporal Hierarchical Graph Attention Network for Traffic Prediction. ACM Trans. Intell. Syst. Technol. 12(6): 68:1-68:21 (2021) - [j67]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15(4): 72:1-72:26 (2021) - [j66]Ling Huang, Chang-Dong Wang, Hongyang Chao:
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. IEEE Trans. Knowl. Data Eng. 33(6): 2520-2533 (2021) - [j65]Cong Bai, Hongkai Li, Jinglin Zhang, Ling Huang, Lu Zhang:
Unsupervised Adversarial Instance-Level Image Retrieval. IEEE Trans. Multim. 23: 2199-2207 (2021) - [j64]Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu:
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5047-5060 (2021) - [j63]Xiaojing Huang, Kuan Wu, Ming Jiang, Ling Huang, Jianxun Xu:
Distributed Resource Allocation for General Energy Efficiency Maximization in Offshore Maritime Device-to-Device Communication. IEEE Wirel. Commun. Lett. 10(6): 1344-1348 (2021) - [c118]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Evidential Segmentation of 3D PET/CT Images. BELIEF 2021: 159-167 - [c117]Ling Huang, Su Ruan, Thierry Denoeux:
Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE 2021: 3:1-3:4 - [c116]Zhenyu He, Yong Liang, Ling Huang, Wenzhong Wang, Jinfeng Wang:
Feature Gene Selection based on L1/2+2 Regularization. ICBBS 2021: 38-44 - [c115]Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye:
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. ICDM 2021: 1198-1203 - [c114]Ling Huang, Deruo Cheng, Xulei Yang, Tong Lin, Yiqiong Shi, Kaiyi Yang, Bah-Hwee Gwee, Bihan Wen:
Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning. ICIP 2021: 3497-3501 - [c113]Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. IJCNN 2021: 1-8 - [c112]Ling Huang, Su Ruan, Thierry Denoeux:
Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI 2021: 160-164 - [c111]Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan:
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI 2021: 30-39 - [c110]Ling Huang, Kuan Wu, Ming Jiang:
Multi-popularity Multi-threshold Grouped Caching for Device-to-Device Communication. PIMRC 2021: 400-404 - [i19]Ling Huang, Su Ruan, Thierry Denoeux:
Covid-19 classification with deep neural network and belief functions. CoRR abs/2101.06958 (2021) - [i18]Ling Huang, Su Ruan, Thierry Denoeux:
Belief function-based semi-supervised learning for brain tumor segmentation. CoRR abs/2102.00097 (2021) - [i17]Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR abs/2103.06105 (2021) - [i16]Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux:
Evidential segmentation of 3D PET/CT images. CoRR abs/2104.13293 (2021) - [i15]Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan:
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR abs/2108.05422 (2021) - 2020
- [j62]Xin Xu, Ling Huang, Xiaojun Liu, Guangyou Fang:
DeepMAD: Deep Learning for Magnetic Anomaly Detection and Denoising. IEEE Access 8: 121257-121266 (2020) - [j61]Junjie Xue, Jie Zhu, Jiyang Xiao, Sheng Tong, Ling Huang:
Panoramic Convolutional Long Short-Term Memory Networks for Combat Intension Recognition of Aerial Targets. IEEE Access 8: 183312-183323 (2020) - [j60]Shuai Chen, Ling Huang, Zhiwen Lei, Shen Wang:
Research on personalized recommendation hybrid algorithm for interactive experience equipment. Comput. Intell. 36(3): 1348-1373 (2020) - [j59]Ming Xu, Jianping Wu, Ling Huang, Rui Zhou, Tian Wang, Dongmei Hu:
Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning. J. Intell. Transp. Syst. 24(1): 1-10 (2020) - [j58]Ling Huang, Hengcong Guo, Ronghui Zhang, Dezong Zhao, Jianping Wu:
A data-driven operational integrated driving behavioral model on highways. Neural Comput. Appl. 32(16): 13017-13033 (2020) - [j57]Wei Wu, Ling Huang, RongHua Du:
Simultaneous Optimization of Vehicle Arrival Time and Signal Timings within a Connected Vehicle Environment. Sensors 20(1): 191 (2020) - [j56]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14(2): 22:1-22:19 (2020) - [j55]Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu:
MVStream: Multiview Data Stream Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3482-3496 (2020) - [c109]Ling Huang, Hong-Yang Chao, Guangqiang Xie:
MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. AAAI 2020: 107-114 - [c108]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c107]Zhuo-Ming Liu, Yu-Miao Hui, Ling Huang:
Query-Based Recommendation by HIN Embedding with PRE-LSTM. ADMA 2020: 515-529 - [c106]Jiao Sun, Yin Li, Charley Chen, Jihae Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi, Wei Xu:
FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. CHI 2020: 1-12 - [c105]Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang:
Latent Space Clustering via Dual Discriminator GAN. DASFAA (1) 2020: 671-679 - [c104]Hongkai Li, Cong Bai, Ling Huang, Yu-Gang Jiang, Shengyong Chen:
Instance Image Retrieval with Generative Adversarial Training. MMM (1) 2020: 381-392 - [c103]Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu:
Modeling Heterogeneous Statistical Patterns in High-dimensional Data by Adversarial Distributions: An Unsupervised Generative Framework. WWW 2020: 1389-1399 - [i14]