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Lie Wang
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2020 – today
- 2023
- [j27]Huize Liang
, Yuying Zhang
, Peiyu Yang
, Lie Wang, Chunlei Gao
:
Comparison and Analysis of Prediction Models for Locomotive Traction Energy Consumption Based on the Machine Learning. IEEE Access 11: 38502-38513 (2023) - [j26]Yanxia Gong
, Xianxian Li, Li-e Wang
:
FedMBC: Personalized federated learning via mutually beneficial collaboration. Comput. Commun. 205: 108-117 (2023) - [j25]Li-e Wang, Fenshan Liu:
Teaching Knowledge Sharing in Virtual Practice Teaching. Int. J. Emerg. Technol. Learn. 18(4): 170-185 (2023) - [j24]Zhigang Sun, Li-e Wang, Jinyong Sun:
A multi-scale graph embedding method via multiple corpora. Neurocomputing 540: 126192 (2023) - [j23]Li-e Wang, Yuelan Qi, Yan Bai, Zhigang Sun
, Dongcheng Li, Xianxian Li:
MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain. Inf. Sci. 638: 118915 (2023) - [c18]Li-E Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu:
CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S). SEKE 2023: 323-328 - [i4]Youquan Xian, Xueying Zeng, Lianghaojie Zhou, Boyi Wang, Li-e Wang, Peng Liu:
A Data Middleware for Obtaining Trusted Price Data for Blockchain. CoRR abs/2309.04689 (2023) - 2022
- [j22]Bin Qu
, Yan Bai, Yul Chu, Li-e Wang, Feng Yu, Xianxian Li:
Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach. Comput. Networks 215: 109181 (2022) - [j21]Xianxian Li, Bing Cai, Li-e Wang, Lei Lei:
Precise sensitivity recognizing, privacy preserving, knowledge graph-based method for trajectory data publication. Frontiers Comput. Sci. 16(4): 164816 (2022) - [j20]Lize Wu, Ziwei Xue
, Siqian Jin, Jinchun Zhang, Yixin Guo, Yadan Bai, Xuexiao Jin, Chaochen Wang
, Lie Wang, Zuozhu Liu, James Q. Wang, Linrong Lu
, Wanlu Liu
:
huARdb: human Antigen Receptor database for interactive clonotype-transcriptome analysis at the single-cell level. Nucleic Acids Res. 50(D1): 1244-1254 (2022) - [c17]Xianxian Li, Tianran Liu, Li-e Wang, Zhigang Sun, Huachang Zeng:
Next POI Recommendation with Neighbor and Location Popularity. ICONIP (2) 2022: 367-378 - 2021
- [j19]Li-e Wang
, Yan Bai
, Quan Jiang, Victor C. M. Leung
, Wei Cai
, Xianxian Li
:
Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks. IEEE Trans. Netw. Sci. Eng. 8(2): 1154-1166 (2021) - [c16]Li-e Wang, Yihui Wang, Yan Bai, Peng Liu, Xianxian Li:
POI Recommendation with Federated Learning and Privacy Preserving in Cross Domain Recommendation. INFOCOM Workshops 2021: 1-6 - 2020
- [j18]Bin Qu
, Li-e Wang
, Peng Liu
, Zhenkui Shi
, Xianxian Li
:
GCBlock: A Grouping and Coding Based Storage Scheme for Blockchain System. IEEE Access 8: 48325-48336 (2020) - [j17]Peng Liu, Yuanxin Xu, Quan Jiang, Yuwei Tang, Yameng Guo, Li-e Wang, Xianxian Li:
Local differential privacy for social network publishing. Neurocomputing 391: 273-279 (2020) - [c15]Feng Yu, Xixian Li, Huimin Zhang, Li-e Wang:
Secure Data Propagation in Edge-Cloud Orchestrated Computing Paradigms: Statistcs and Taxonomy. CBD 2020: 253-258 - [c14]Feng Yu, Xixian Li, Huimin Zhang, Li-e Wang:
A Control Task Assignment Algorithm based on sub-graph isomorphism. CBD 2020: 265-271 - [c13]Li-e Wang, Shan Lin, Yan Bai, Sang-Yoon Chang, Xianxian Li, Peng Liu:
A Privacy Preserving Method for Publishing Set-valued Data and Its Correlative Social Network. ICC 2020: 1-7 - [c12]Zhiming Su, Lie Wang:
Channel Splitting Network for Single Image Dehazing. ICCT 2020: 1333-1337
2010 – 2019
- 2019
- [c11]Xianxian Li, Chunfeng Luo, Peng Liu, Li-e Wang:
Information Entropy Differential Privacy: A Differential Privacy Protection Data Method Based on Rough Set Theory. DASC/PiCom/DataCom/CyberSciTech 2019: 918-923 - 2018
- [j16]Li-e Wang
, Xianxian Li:
A graph-based multifold model for anonymizing data with attributes of multiple types. Comput. Secur. 72: 122-135 (2018) - [j15]Xianxian Li, Peipei Sui, Yan Bai, Li-E Wang:
M-generalization for multipurpose transactional data publication. Frontiers Comput. Sci. 12(6): 1241-1254 (2018) - [c10]Dongran Yu, Huaxing Zhao, Li-e Wang, Peng Liu, Xianxian Li:
A Hierarchical k-Anonymous Technique of Graphlet Structural Perception in Social Network Publishing. MSPN 2018: 224-239 - 2017
- [j14]Peng Liu, Yan Bai, Lie Wang, Xianxian Li:
Partial k-Anonymity for Privacy-Preserving Social Network Data Publishing. Int. J. Softw. Eng. Knowl. Eng. 27(1): 71-90 (2017) - [j13]Lie Wang, Yuanxin Xu, Xianxian Li, Peng Liu:
移动商务推荐系统中的一种基于P2P的隐私保护策略 (P2P-based Privacy Protection Strategy in Mobile-commerce Recommender System). 计算机科学 44(9): 178-183 (2017) - [c9]Li-e Wang, Yameng Guo, Xianxian Li:
Transparent Link: A Framework of Anonymizing MSA-Dataset Based on Probabilistic Graphical Model. BigDataService 2017: 204-209 - [c8]Xiaoyi Hu, Li-e Wang, Jiaqi Tang, Cong Lei, Peng Liu, Xianxian Li:
Anonymizing approach to resist label-neighborhood attacks in dynamic releases of social networks. Healthcom 2017: 1-6 - [c7]Peng Liu, Li-e Wang, Xianxian Li:
Randomized Perturbation for Privacy-Preserving Social Network Data Publishing. ICBK 2017: 208-213 - 2016
- [j12]Anqi Zhao, Yang Feng, Lie Wang, Xin Tong:
Neyman-Pearson Classification under High-Dimensional Settings. J. Mach. Learn. Res. 17: 213:1-213:39 (2016) - [j11]Robert J. Vanderbei, Kevin Lin, Han Liu, Lie Wang:
Revisiting compressed sensing: exploiting the efficiency of simplex and sparsification methods. Math. Program. Comput. 8(3): 253-269 (2016) - [c6]Liuhua Chen, Shenghai Zhong, Li-e Wang, Xianxian Li:
A Sensitivity-Adaptive ρ-Uncertainty Model for Set-Valued Data. Financial Cryptography 2016: 460-473 - 2015
- [j10]Han Liu, Lie Wang, Tuo Zhao:
Calibrated multivariate regression with application to neural semantic basis discovery. J. Mach. Learn. Res. 16: 1579-1606 (2015) - [j9]Peng Liu, Xianxian Li, Lie Wang:
社会网络分析软件研究 (Study of Social Network Analysis Software). 计算机科学 42(12): 171-174 (2015) - [c5]Li-e Wang, Xianxian Li:
A Hybrid Optimization Approach for Anonymizing Transactional Data. ICA3PP (Workshops and Symposiums) 2015: 120-132 - 2014
- [j8]Lie Wang, Xianxian Li:
A Clustering-Based Bipartite Graph Privacy-Preserving Approach for Sharing High-Dimensional Data. Int. J. Softw. Eng. Knowl. Eng. 24(7): 1091- (2014) - [c4]Li-e Wang, Xianxian Li:
Personalized Privacy Protection for Transactional Data. ADMA 2014: 253-266 - [c3]Han Liu, Lie Wang, Tuo Zhao:
Multivariate Regression with Calibration. NIPS 2014: 127-135 - 2013
- [j7]Lie Wang:
The L1L1 penalized LAD estimator for high dimensional linear regression. J. Multivar. Anal. 120: 135-151 (2013) - [i3]Han Liu, Lie Wang, Tuo Zhao:
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery. CoRR abs/1305.2238 (2013) - [i2]Robert J. Vanderbei, Han Liu, Lie Wang, Kevin Lin:
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification. CoRR abs/1312.4426 (2013) - 2011
- [j6]T. Tony Cai, Lie Wang:
Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise. IEEE Trans. Inf. Theory 57(7): 4680-4688 (2011) - 2010
- [j5]T. Tony Cai, Lie Wang, Guangwu Xu:
Stable recovery of sparse signals and an oracle inequality. IEEE Trans. Inf. Theory 56(7): 3516-3522 (2010) - [j4]T. Tony Cai, Lie Wang, Guangwu Xu:
New bounds for restricted isometry constants. IEEE Trans. Inf. Theory 56(9): 4388-4394 (2010) - [j3]T. Tony Cai, Lie Wang, Guangwu Xu:
Shifting inequality and recovery of sparse signals. IEEE Trans. Signal Process. 58(3): 1300-1308 (2010)
2000 – 2009
- 2009
- [j2]T. Tony Cai, Michael Levine
, Lie Wang:
Variance function estimation in multivariate nonparametric regression with fixed design. J. Multivar. Anal. 100(1): 126-136 (2009) - [c2]Kun Huang, Dafang Zhang, Li-e Wang:
An Activeness-Based Seed Choking Algorithm for Enhancing BitTorrent's Robustness. GPC 2009: 376-387 - [i1]T. Tony Cai, Lie Wang, Guangwu Xu:
New Bounds for Restricted Isometry Constants. CoRR abs/0911.1564 (2009) - 2008
- [j1]Kun Huang, Li-e Wang, Dafang Zhang, Yongwei Liu:
Optimizing the BitTorrent performance using an adaptive peer selection strategy. Future Gener. Comput. Syst. 24(7): 621-630 (2008)
1990 – 1999
- 1992
- [c1]Alex Pothen
, Horst D. Simon
, Lie Wang, Stephen T. Barnard:
Towards a Fast Implementation of Spectral Nested Dissection. SC 1992: 42-51
Coauthor Index

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