Jilian Zhang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Feature Selection

Top Venues

Multim. Tools Appl.

IEEE Trans. Neural Networks Learn. Syst.

Pattern Recognit. Lett.

Publications

Jin Qian, Kaimin Wei, Yongdong Wu, Jilian Zhang, Jipeng Chen, Huan Bao
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge. CoRR (2024)
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)
Yu Wang, Liangyong Yang, Jilian Zhang, Xuelian Deng
A Trie-Based Authentication Scheme for Approximate String Queries. IEICE Trans. Inf. Syst. 107 (4) (2024)
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 (2024)
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) (2024)
Zongqian Wu, Peng Zhou, Junbo Ma, Jilian Zhang, Guoqin Yuan, Xiaofeng Zhu
Graph augmentation for node-level few-shot learning. Knowl. Based Syst. 297 (2024)
Kailun Yan, Jilian Zhang, Xiangyu Liu, Wenrui Diao, Shanqing Guo
Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. WWW (2023)
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 (2023)
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) (2023)
Kailun Yan, Jilian Zhang, Yongdong Wu
Improving Bitcoin Transaction Propagation Efficiency through Local Clique Network. Comput. J. 66 (2) (2023)
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) (2022)
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) (2022)
Junbo Ma, Jilian Zhang, Zeyu Wang
Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold. Inf. Process. Manag. 59 (4) (2022)
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) (2021)
Jiangzhang Gan, Tong Liu, Li Li, Jilian Zhang
Non-negative Matrix Factorization: A Survey. Comput. J. 64 (7) (2021)
Jilian Zhang, Xuelian Deng
LDSQP: Scalable and Efficient Log Data Storage and Query Processing Scheme for Cloud Data Centers. HP3C (2021)
Jilian Zhang, Kaimin Wei, Xuelian Deng
Heuristic algorithms for diversity-aware balanced multi-way number partitioning. Pattern Recognit. Lett. 136 (2020)
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) (2020)
Jiaye Li, Shichao Zhang, Leyuan Zhang, Cong Lei, Jilian Zhang
Unsupervised nonlinear feature selection algorithm via kernel function. Neural Comput. Appl. 32 (11) (2020)
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) (2019)
Xuelian Deng, Yuqing Li, Jian Weng, Jilian Zhang
Feature selection for text classification: A review. Multim. Tools Appl. 78 (3) (2019)
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) (2019)
Xiaofeng Zhu, Gerard Sanroma, Jilian Zhang, Brent C. Munsell
Editorial: Deep Mining Big Social Data. World Wide Web 21 (6) (2018)
Xiaofeng Zhu, Jie Shao, Jilian Zhang
Pattern discovery from multi-source data. Pattern Recognit. Lett. 109 (2018)
Faliang Huang, Xuelong Li, Shichao Zhang, Jilian Zhang
Harmonious Genetic Clustering. IEEE Trans. Cybern. 48 (1) (2018)
Faliang Huang, Shichao Zhang, Jilian Zhang, Ge Yu
Multimodal learning for topic sentiment analysis in microblogging. Neurocomputing 253 (2017)
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) (2017)
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) (2017)
Yue Fang, Jilian Zhang, Shichao Zhang, Cong Lei, Xiaoyi Hu
Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. ADMA (2017)
Rongyao Hu, Xiaofeng Zhu, Wei He, Jilian Zhang, Shichao Zhang
Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. ADMA (2016)
Kyriakos Mouratidis, Jilian Zhang, HweeHwa Pang
Maximum Rank Query. Proc. VLDB Endow. 8 (12) (2015)
Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang
Global immutable region computation. SIGMOD Conference (2014)
Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang
Direct neighbor search. Inf. Syst. 44 (2014)
Jilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang
Mining Item Popularity for Recommender Systems. ADMA (2) (2013)
HweeHwa Pang, Jilian Zhang, Kyriakos Mouratidis
)-Trees. IEEE Trans. Knowl. Data Eng. 25 (7) (2013)
Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
Mixed-Norm Regression for Visual Classification. ADMA (1) (2013)
Shichao Zhang, Jilian Zhang
Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach. Int. J. Softw. Informatics 6 (4) (2012)
Jilian Zhang, Kyriakos Mouratidis, HweeHwa Pang
Heuristic Algorithms for Balanced Multi-Way Number Partitioning. IJCAI (2011)
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) (2009)
Shichao Zhang, Zhi Jin, Xiaofeng Zhu, Jilian Zhang
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach. Trans. Comput. Sci. 3 (2009)
Shichao Zhang, Jilian Zhang, Zhi Jin
A decremental algorithm of frequent itemset maintenance for mining updated databases. Expert Syst. Appl. 36 (8) (2009)
HweeHwa Pang, Jilian Zhang, Kyriakos Mouratidis
Scalable Verification for Outsourced Dynamic Databases. Proc. VLDB Endow. 2 (1) (2009)
Jilian Zhang, Hoong Chuin Lau, Jialie Shen
Setting discrete bid levels adaptively in repeated auctions. ICEC (2009)
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) (2009)
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Yongsong Qin, Chengqi Zhang
Missing Value Imputation Based on Data Clustering. Trans. Comput. Sci. 1 (2008)
Shichao Zhang, Zifang Huang, Jilian Zhang, Xiaofeng Zhu
Mining follow-up correlation patterns from time-related databases. Knowl. Inf. Syst. 14 (1) (2008)
Xiaofeng Zhu, Shichao Zhang, Jilian Zhang, Chengqi Zhang
Cost-Sensitive Imputing Missing Values with Ordering. AAAI (2007)
Yongsong Qin, Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Semi-parametric optimization for missing data imputation. Appl. Intell. 27 (1) (2007)
Chengqi Zhang, Xiaofeng Zhu, Jilian Zhang, Yongsong Qin, Shichao Zhang
GBKII: An Imputation Method for Missing Values. PAKDD (2007)
Shichao Zhang, Jilian Zhang, Chengqi Zhang
EDUA: An efficient algorithm for dynamic database mining. Inf. Sci. 177 (13) (2007)
Shichao Zhang, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Cost-Time Sensitive Decision Tree with Missing Values. KSEM (2007)
Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
Measuring the Uncertainty of Differences for Contrasting Groups. AAAI (2007)
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Optimized Parameters for Missing Data Imputation. PRICAI (2006)
Huijing Huang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Shichao Zhang
Difference Detection Between Two Contrast Sets. DaWaK (2006)
Shichao Zhang, Yongsong Qin, Xiaofeng Zhu, Jilian Zhang, Chengqi Zhang
Kernel-Based Multi-Imputation for Missing Data. AMT (2006)
Shichao Zhang, Jilian Zhang, Xiaofeng Zhu, Zifang Huang
Identifying Follow-Correlation Itemset-Pairs. ICDM (2006)
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. DaWaK (2005)