LiFang He - researchr alias

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Viewing Publication 1 - 51 from 51

2023

2022

A noise reduction orthogonal multi-user CDSK communication system based on frequency domain processingGang Zhang, Jiangtao Dong, LiFang He. adt, 77(3-4):237-250, 2022. [doi]

2017

t-BNE: Tensor-based Brain Network EmbeddingBokai Cao, LiFang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow. sdm 2017: 189-197 [doi]

Performance Analysis for IEEE 802.11s Wireless Mesh Network in Smart GridXiaoheng Deng, Tingting He, LiFang He, Jinsong Gui, Qionglin Peng. wpc, 96(1):1537-1555, 2017. [doi]

Interference-aware QoS routing for neighbourhood area network in smart gridXiaoheng Deng, Qionglin Peng, LiFang He, Tingting He. iet-com, 11(5):756-764, 2017. [doi]

Modified firefly algorithm based multilevel thresholding for color image segmentationLiFang He, Songwei Huang. ijon, 240:152-174, 2017. [doi]

Kernelized Support Tensor MachinesLiFang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin. icml 2017: 1442-1451 [doi]

Multi-way Multi-level Kernel Modeling for Neuroimaging ClassificationLiFang He, Chun-Ta Lu, Hao Ding, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin. cvpr 2017: 6846-6854 [doi]

A Broad Learning Approach for Context-Aware Mobile Application RecommendationTingting Liang, LiFang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu. icdm 2017: 955-960 [doi]

Multilinear Factorization Machines for Multi-Task Multi-View LearningChun-Ta Lu, LiFang He, Weixiang Shao, Bokai Cao, Philip S. Yu. wsdm 2017: 701-709 [doi]

Multi-view Clustering with Graph Embedding for Connectome AnalysisGuixiang Ma, LiFang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin. CIKM 2017: 127-136 [doi]

Multi-view Graph Embedding with Hub Detection for Brain Network AnalysisGuixiang Ma, Chun-Ta Lu, LiFang He, Philip S. Yu, Ann B. Ragin. icdm 2017: 967-972 [doi]

Error-robust multi-view clusteringMehrnaz Najafi, LiFang He, Philip S. Yu. bigdataconf 2017: 736-745 [doi]

Contaminant removal for Android malware detection systemsLichao Sun, Xiaokai Wei, Jiawei Zhang, LiFang He, Philip S. Yu, Witawas Srisa-an. bigdataconf 2017: 1053-1062 [doi]

Structural Deep Brain Network MiningShen Wang, LiFang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin. kdd 2017: 475-484 [doi]

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics ServicesYuqi Wang, Jiannong Cao, LiFang He, Wengen Li, Lichao Sun, Philip S. Yu. CIKM 2017: 939-947 [doi]

Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media DataSenzhang Wang, Xiaoming Zhang, Jianping Cao, LiFang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang. tois, 35(4), 2017. [doi]

Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approachNing Yang, LiFang He, Zheng Li, Philip S. Yu. datamine, 31(3):879-906, 2017. [doi]

Broad Learning based Multi-Source Collaborative RecommendationJunxing Zhu, Jiawei Zhang, LiFang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu. CIKM 2017: 1409-1418 [doi]

2016

QoS-Aware and Load-Balance Routing for IEEE 802.11s Based Neighborhood Area Network in Smart GridXiaoheng Deng, LiFang He, Congxu Zhu, Mianxiong Dong, Kaoru Ota, Lin Cai. wpc, 89(4):1065-1088, 2016. [doi]

A reliable QoS-aware routing scheme for neighbor area network in smart gridXiaoheng Deng, LiFang He, Xu Li, Qiang Liu, Lin Cai, Zhigang Chen. ppna, 9(4):616-627, 2016. [doi]

EPTR: expected path throughput based routing protocol for wireless mesh networkXiaoheng Deng, LiFang He, Qiang Liu, Xu Li, Lin Cai, Zhigang Chen. winet, 22(3):839-854, 2016. [doi]

Joint Community and Structural Hole Spanner Detection via Harmonic ModularityLiFang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, LinLin Shen, Philip S. Yu. kdd 2016: 875-884 [doi]

Item Recommendation for Emerging Online BusinessesChun-Ta Lu, Sihong Xie, Weixiang Shao, LiFang He, Philip S. Yu. IJCAI 2016: 3797-3803 [doi]

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain NetworksGuixiang Ma, LiFang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin. pkdd 2016: 476-492 [doi]

Spatio-Temporal Tensor Analysis for Whole-Brain fMRI ClassificationGuixiang Ma, LiFang He, Chun-Ta Lu, Philip S. Yu, LinLin Shen, Ann B. Ragin. sdm 2016: 819-827 [doi]

Multi-source Multi-view Clustering via discrepancy penaltyWeixiang Shao, Jiawei Zhang, LiFang He, Philip S. Yu. ijcnn 2016: 2714-2721 [doi]

Online multi-view clustering with incomplete viewsWeixiang Shao, LiFang He, Chun-Ta Lu, Philip S. Yu. bigdataconf 2016: 1012-1017 [doi]

Online Unsupervised Multi-view Feature SelectionWeixiang Shao, LiFang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu. icdm 2016: 1203-1208 [doi]

Intrusive tumor growth inspired optimization algorithm for data clusteringDe-Yu Tang, Shoubin Dong, LiFang He, Yi Jiang. nca, 27(2):349-374, 2016. [doi]

Estimating Urban Traffic Congestions with Multi-sourced DataSenzhang Wang, LiFang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang. MDM 2016: 82-91 [doi]

Trust Hole Identification in Signed NetworksJiawei Zhang, Qianyi Zhan, LiFang He, Charu C. Aggarwal, Philip S. Yu. pkdd 2016: 697-713 [doi]

2015

Modeling and Analysis MAC Layer Performance for IEEE 802.11s Wireless Mesh Network in Smart GridXiaoheng Deng, LiFang He, Jinsong Gui, Qionglin Peng, Tingting He. iiki 2015: 280-283 [doi]

The Unsupervised Hierarchical Convolutional Sparse Auto-Encoder for Neuroimaging Data ClassificationXiaobing Han, Yanfei Zhong, LiFang He, Philip S. Yu, Liangpei Zhang. brain 2015: 156-166 [doi]

A Low-Rank Approximation-Based Transductive Support Tensor Machine for Semisupervised ClassificationXiaolan Liu, Tengjiao Guo, LiFang He, Xiaowei Yang. TIP, 24(6):1825-1838, 2015. [doi]

Clustering on Multi-source Incomplete Data via Tensor Modeling and FactorizationWeixiang Shao, LiFang He, Philip S. Yu. pakdd 2015: 485-497 [doi]

2, 1 RegularizationWeixiang Shao, LiFang He, Philip S. Yu. pkdd 2015: 318-334 [doi]

Citywide traffic congestion estimation with social mediaSenzhang Wang, LiFang He, Leon Stenneth, Philip S. Yu, Zhoujun Li. gis 2015: 34 [doi]

A bilateral-truncated-loss based robust support vector machine for classification problemsXiaowei Yang, Le Han, Yan Li, LiFang He. soco, 19(10):2871-2882, 2015. [doi]

2014

Tensor-Based Multi-view Feature Selection with Applications to Brain DiseasesBokai Cao, LiFang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin. icdm 2014: 40-49 [doi]

A GA-based feature selection and parameter optimization for linear support higher-order tensor machineTengjiao Guo, Le Han, LiFang He, Xiaowei Yang. ijon, 144:408-416, 2014. [doi]

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to NeuroimagesLiFang He, Xiangnan Kong, Philip S. Yu, Xiaowei Yang, Ann B. Ragin, Zhifeng Hao. sdm 2014: 127-135 [doi]

Low-Density Cut Based Tree Decomposition for Large-Scale SVM ProblemsLiFang He, Hong-Han Shuai, Xiangnan Kong, Zhifeng Hao, Xiaowei Yang, Philip S. Yu. icdm 2014: 839-844 [doi]

A robust least squares support vector machine for regression and classification with noiseXiaowei Yang, Liangjun Tan, LiFang He. ijon, 140:41-52, 2014. [doi]

2013

2012

Coordination of Incentive Conflict Based on Grey-Stackelberg Model under the Main Manufacturers-suppliers ModelLiFang He, HongZhuan Chen. gsta, 2(2):240-248, 2012. [doi]

2010

Category of inter-grey non-symmetric evolutionary game chain model of supervision on research funds of colleges and universitiesHongZhuan Chen, Jing Xu, LiFang He, Ye Chen. SMC 2010: 271-276 [doi]

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