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2020 – today
- 2024
[j37]Zhengyu Lu
, Yujing Liu, Guoqiu Wen, Bo Zhou, Wenzhen Zhang, Jilian Zhang:
Noise-resistant graph neural networks with manifold consistency and label consistency. Expert Syst. Appl. 245: 123120 (2024)- [j36]Yu Wang, Liangyong Yang, Jilian Zhang, Xuelian Deng:
A Trie-Based Authentication Scheme for Approximate String Queries. IEICE Trans. Inf. Syst. 107(4): 537-543 (2024) - [j35]Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu:
Graph augmentation for node-level few-shot learning. Knowl. Based Syst. 297: 111872 (2024) - [j34]Jiaye Li, Jian Zhang, Jilian Zhang, Shichao Zhang:
Quantum KNN Classification With K Value Selection and Neighbor Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1332-1345 (2024) - [c19]Jin Qian, Kaimin Wei, Yongdong Wu, Jilian Zhang, Jinpeng Chen, Huan Bao:
GI-SMN: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge. ICIC (8) 2024: 439-448 - [i1]Jin Qian, Kaimin Wei, Yongdong Wu, Jilian Zhang, Jipeng Chen, Huan Bao:
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge. CoRR abs/2405.03516 (2024) - 2023
- [j33]Kailun Yan, Jilian Zhang, Yongdong Wu:
Improving Bitcoin Transaction Propagation Efficiency through Local Clique Network. Comput. J. 66(2): 318-332 (2023) - [j32]Dongliang Cao, Kaimin Wei, Yongdong Wu, Jilian Zhang, Bingwen Feng, Jinpeng Chen:
FePN: A robust feature purification network to defend against adversarial examples. Comput. Secur. 134: 103427 (2023) - [j31]Yinyan Zhang, Jilian Zhang, Jian Weng:
Dynamic Moore-Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10919-10929 (2023) - [c18]Kailun Yan, Jilian Zhang, Xiangyu Liu, Wenrui Diao, Shanqing Guo:
Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. WWW 2023: 2274-2283 - 2022
- [j30]Kaimin Wei, Kai Huang, Yongdong Wu, Zhetao Li, Hongliang He, Jilian Zhang, Jinpeng Chen, Song Guo:
High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach. IEEE Internet Things J. 9(19): 18487-18499 (2022) - [j29]Junbo Ma, Jilian Zhang, Zeyu Wang:
Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold. Inf. Process. Manag. 59(4): 102965 (2022) - [j28]Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao:
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4332-4345 (2022) - 2021
- [j27]Jiangzhang Gan, Tong Liu, Li Li, Jilian Zhang:
Non-negative Matrix Factorization: A Survey. Comput. J. 64(7): 1080-1092 (2021) - [j26]Jiasi Weng, Jian Weng, Jilian Zhang, Ming Li, Yue Zhang, Weiqi Luo:
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive. IEEE Trans. Dependable Secur. Comput. 18(5): 2438-2455 (2021) - [c17]Jilian Zhang, Xuelian Deng:
LDSQP: Scalable and Efficient Log Data Storage and Query Processing Scheme for Cloud Data Centers. HP3C 2021: 7-13 - 2020
- [j25]Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang:
Unsupervised nonlinear feature selection algorithm via kernel function. Neural Comput. Appl. 32(11): 6443-6454 (2020) - [j24]Jilian Zhang, Kaimin Wei, Xuelian Deng:
Heuristic algorithms for diversity-aware balanced multi-way number partitioning. Pattern Recognit. Lett. 136: 56-62 (2020) - [j23]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Yonggang Li, Guangquan Lu, Yang Yang:
Sparse Graph Connectivity for Image Segmentation. ACM Trans. Knowl. Discov. Data 14(4): 46:1-46:19 (2020)
2010 – 2019
- 2019
- [j22]Xuelian Deng, Yuqing Li, Jian Weng, Jilian Zhang:
Feature selection for text classification: A review. Multim. Tools Appl. 78(3): 3797-3816 (2019) - [j21]Leyuan Zhang, Yangding Li, Jilian Zhang, Pengqing Li, Jiaye Li:
Nonlinear sparse feature selection algorithm via low matrix rank constraint. Multim. Tools Appl. 78(23): 33319-33337 (2019) - [j20]Xiaofeng Zhu, Shichao Zhang, Yonggang Li, Jilian Zhang, Lifeng Yang, Yue Fang:
Low-Rank Sparse Subspace for Spectral Clustering. IEEE Trans. Knowl. Data Eng. 31(8): 1532-1543 (2019) - 2018
- [j19]Xiaofeng Zhu, Jie Shao, Jilian Zhang:
Pattern discovery from multi-source data. Pattern Recognit. Lett. 109: 1-3 (2018) - [j18]Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang:
Harmonious Genetic Clustering. IEEE Trans. Cybern. 48(1): 199-214 (2018) - [j17]Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell:
Editorial: Deep Mining Big Social Data. World Wide Web 21(6): 1449-1452 (2018) - 2017
- [j16]Faliang Huang, Shichao Zhang, Jilian Zhang, Ge Yu:
Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing 253: 144-153 (2017) - [j15]Rongyao Hu, Debo Cheng, Wei He, Guoqiu Wen, Yonghua Zhu, Jilian Zhang, Shichao Zhang:
Low-rank feature selection for multi-view regression. Multim. Tools Appl. 76(16): 17479-17495 (2017) - [j14]Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang, Jinhui Chen, Zhi-nian Zhai:
Overlapping Community Detection for Multimedia Social Networks. IEEE Trans. Multim. 19(8): 1881-1893 (2017) - [c16]Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu:
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. ADMA 2017: 273-286 - 2016
- [c15]Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang:
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA 2016: 700-713 - 2015
- [j13]Kyriakos Mouratidis, Jilian Zhang, HweeHwa Pang:
Maximum Rank Query. Proc. VLDB Endow. 8(12): 1554-1565 (2015) - 2014
- [j12]Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang:
Direct neighbor search. Inf. Syst. 44: 73-92 (2014) - [c14]Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang:
Global immutable region computation. SIGMOD Conference 2014: 1151-1162 - 2013
- [j11]HweeHwa Pang, Jilian Zhang, Kyriakos Mouratidis:
Enhancing Access Privacy of Range Retrievals over (𝔹+)-Trees. IEEE Trans. Knowl. Data Eng. 25(7): 1533-1547 (2013) - [c13]Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Mixed-Norm Regression for Visual Classification. ADMA (1) 2013: 265-276 - [c12]Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang:
Mining Item Popularity for Recommender Systems. ADMA (2) 2013: 372-383 - 2012
- [j10]Shichao Zhang, Jilian Zhang:
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach. Int. J. Softw. Informatics 6(4): 535-552 (2012) - 2011
- [c11]Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang:
Heuristic Algorithms for Balanced Multi-Way Number Partitioning. IJCAI 2011: 693-698
2000 – 2009
- 2009
- [j9]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. Expert Syst. Appl. 36(2): 2794-2804 (2009) - [j8]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Estimating confidence intervals for structural differences between contrast groups with missing data. Expert Syst. Appl. 36(3): 6431-6438 (2009) - [j7]Shichao Zhang, Jilian Zhang, Zhi Jin:
A decremental algorithm of frequent itemset maintenance for mining updated databases. Expert Syst. Appl. 36(8): 10890-10895 (2009) - [j6]HweeHwa Pang, Jilian Zhang, Kyriakos Mouratidis:
Scalable Verification for Outsourced Dynamic Databases. Proc. VLDB Endow. 2(1): 802-813 (2009) - [j5]Shichao Zhang, Zhi Jin, Xiaofeng Zhu, Jilian Zhang:
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach. Trans. Comput. Sci. 3: 122-142 (2009) - [c10]Jilian Zhang, Hoong Chuin Lau, Jialie Shen:
Setting discrete bid levels adaptively in repeated auctions. ICEC 2009: 195-204 - 2008
- [j4]Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu:
Mining follow-up correlation patterns from time-related databases. Knowl. Inf. Syst. 14(1): 81-100 (2008) - [j3]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang:
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1: 128-138 (2008) - 2007
- [j2]Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Semi-parametric optimization for missing data imputation. Appl. Intell. 27(1): 79-88 (2007) - [j1]Shichao Zhang, Jilian Zhang, Chengqi Zhang:
EDUA: An efficient algorithm for dynamic database mining. Inf. Sci. 177(13): 2756-2767 (2007) - [c9]Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang:
Measuring the Uncertainty of Differences for Contrasting Groups. AAAI 2007: 1920-1921 - [c8]Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang:
Cost-Sensitive Imputing Missing Values with Ordering. AAAI 2007: 1922-1923 - [c7]Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Cost-Time Sensitive Decision Tree with Missing Values. KSEM 2007: 447-459 - [c6]Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang:
GBKII: An Imputation Method for Missing Values. PAKDD 2007: 1080-1087 - 2006
- [c5]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Kernel-Based Multi-Imputation for Missing Data. AMT 2006: 106-111 - [c4]Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang:
Difference Detection Between Two Contrast Sets. DaWaK 2006: 481-490 - [c3]Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang:
Identifying Follow-Correlation Itemset-Pairs. ICDM 2006: 765-774 - [c2]Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang:
Optimized Parameters for Missing Data Imputation. PRICAI 2006: 1010-1016 - 2005
- [c1]Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang:
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. DaWaK 2005: 305-314
Coauthor Index
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last updated on 2024-09-10 01:14 CEST by the dblp team
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