A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. - Shichao Zhang 001; Xindong Wu 001; Jilian Zhang; Chengqi Zhang (DaWaK, 2005)

Kernel-Based Multi-Imputation for Missing Data. - Shichao Zhang 001; Yongsong Qin; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (AMT, 2006)

Difference Detection Between Two Contrast Sets. - Huijing Huang; Yongsong Qin; Xiaofeng Zhu 001; Jilian Zhang; Shichao Zhang 001 (DaWaK, 2006)

Identifying Follow-Correlation Itemset-Pairs. - Shichao Zhang 001; Jilian Zhang; Xiaofeng Zhu 001; Zifang Huang (ICDM, 2006)

Optimized Parameters for Missing Data Imputation. - Shichao Zhang 001; Yongsong Qin; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (PRICAI, 2006)

Measuring the Uncertainty of Differences for Contrasting Groups. - Jilian Zhang; Shichao Zhang 001; Xiaofeng Zhu 001; Xindong Wu 001; Chengqi Zhang (AAAI, 2007)

Cost-Sensitive Imputing Missing Values with Ordering. - Xiaofeng Zhu 001; Shichao Zhang 001; Jilian Zhang; Chengqi Zhang (AAAI, 2007)

Cost-Time Sensitive Decision Tree with Missing Values. - Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (KSEM, 2007)

GBKII: An Imputation Method for Missing Values. - Chengqi Zhang; Xiaofeng Zhu 001; Jilian Zhang; Yongsong Qin; Shichao Zhang 001 (PAKDD, 2007)

Semi-parametric optimization for missing data imputation. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Appl. Intell., 2007)

EDUA: An efficient algorithm for dynamic database mining. - Shichao Zhang 001; Jilian Zhang; Chengqi Zhang (Inf. Sci., 2007)

Mining follow-up correlation patterns from time-related databases. - Shichao Zhang 001; Zifang Huang; Jilian Zhang; Xiaofeng Zhu 001 (Knowl. Inf. Syst., 2008)

Missing Value Imputation Based on Data Clustering. - Shichao Zhang 001; Jilian Zhang; Xiaofeng Zhu 001; Yongsong Qin; Chengqi Zhang (Trans. Comput. Sci., 2008)

Setting discrete bid levels adaptively in repeated auctions. - Jilian Zhang; Hoong Chuin Lau; Jialie Shen 001 (ICEC, 2009)

POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Expert Syst. Appl., 2009)

Estimating confidence intervals for structural differences between contrast groups with missing data. - Yongsong Qin; Shichao Zhang 001; Xiaofeng Zhu 001; Jilian Zhang; Chengqi Zhang (Expert Syst. Appl., 2009)

A decremental algorithm of frequent itemset maintenance for mining updated databases. - Shichao Zhang 001; Jilian Zhang; Zhi Jin (Expert Syst. Appl., 2009)

Scalable Verification for Outsourced Dynamic Databases. - HweeHwa Pang; Jilian Zhang; Kyriakos Mouratidis (Proc. VLDB Endow., 2009)

Missing Data Analysis: A Kernel-Based Multi-Imputation Approach. - Shichao Zhang 001; Zhi Jin; Xiaofeng Zhu 001; Jilian Zhang (Trans. Comput. Sci., 2009)

Heuristic Algorithms for Balanced Multi-Way Number Partitioning. - Jilian Zhang; Kyriakos Mouratidis; HweeHwa Pang (IJCAI, 2011)

Classifying Incomplete Data Using Group Difference Detection with Parimputation Approach. - Shichao Zhang 001; Jilian Zhang (Int. J. Softw. Informatics, 2012)

Mining Item Popularity for Recommender Systems. - Jilian Zhang; Xiaofeng Zhu 001; Xianxian Li; Shichao Zhang 001 (ADMA (2), 2013)

Mixed-Norm Regression for Visual Classification. - Xiaofeng Zhu 001; Jilian Zhang; Shichao Zhang 001 (ADMA (1), 2013)

Enhancing Access Privacy of Range Retrievals over (𝔹+)-Trees. - HweeHwa Pang; Jilian Zhang; Kyriakos Mouratidis (IEEE Trans. Knowl. Data Eng., 2013)

Global immutable region computation. - Jilian Zhang; Kyriakos Mouratidis; HweeHwa Pang (SIGMOD Conference, 2014)

Direct neighbor search. - Jilian Zhang; Kyriakos Mouratidis; HweeHwa Pang (Inf. Syst., 2014)

Maximum Rank Query. - Kyriakos Mouratidis; Jilian Zhang; HweeHwa Pang (Proc. VLDB Endow., 2015)

Supervised Feature Selection by Robust Sparse Reduced-Rank Regression. - Rongyao Hu; Xiaofeng Zhu 001; Wei He 017; Jilian Zhang; Shichao Zhang 001 (ADMA, 2016)

Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning. - Yue Fang; Jilian Zhang; Shichao Zhang 001; Cong Lei; Xiaoyi Hu (ADMA, 2017)

Multimodal learning for topic sentiment analysis in microblogging. - Faliang Huang; Shichao Zhang 001; Jilian Zhang; Ge Yu 001 (Neurocomputing, 2017)

Low-rank feature selection for multi-view regression. - Rongyao Hu; Debo Cheng; Wei He 017; Guoqiu Wen; Yonghua Zhu; Jilian Zhang; Shichao Zhang 001 (Multim. Tools Appl., 2017)

Overlapping Community Detection for Multimedia Social Networks. - Faliang Huang; Xuelong Li 001; Shichao Zhang 001; Jilian Zhang; Jinhui Chen; Zhi-nian Zhai (IEEE Trans. Multim., 2017)

Pattern discovery from multi-source data. - Xiaofeng Zhu 001; Jie Shao 001; Jilian Zhang (Pattern Recognit. Lett., 2018)

Harmonious Genetic Clustering. - Faliang Huang; Xuelong Li 001; Shichao Zhang 001; Jilian Zhang (IEEE Trans. Cybern., 2018)

Editorial: Deep Mining Big Social Data. - Xiaofeng Zhu 001; Gerard Sanroma; Jilian Zhang; Brent C. Munsell (World Wide Web, 2018)

Feature selection for text classification: A review. - Xuelian Deng; Yuqing Li; Jian Weng 001; Jilian Zhang (Multim. Tools Appl., 2019)

Nonlinear sparse feature selection algorithm via low matrix rank constraint. - Leyuan Zhang; Yangding Li; Jilian Zhang; Pengqing Li; Jiaye Li 001 (Multim. Tools Appl., 2019)

Low-Rank Sparse Subspace for Spectral Clustering. - Xiaofeng Zhu 001; Shichao Zhang 001; Yonggang Li; Jilian Zhang; Lifeng Yang; Yue Fang (IEEE Trans. Knowl. Data Eng., 2019)

Unsupervised nonlinear feature selection algorithm via kernel function. - Jiaye Li 001; Shichao Zhang 001; Leyuan Zhang; Cong Lei; Jilian Zhang (Neural Comput. Appl., 2020)

Heuristic algorithms for diversity-aware balanced multi-way number partitioning. - Jilian Zhang; Kaimin Wei; Xuelian Deng (Pattern Recognit. Lett., 2020)

Sparse Graph Connectivity for Image Segmentation. - Xiaofeng Zhu 001; Shichao Zhang 001; Jilian Zhang; Yonggang Li; Guangquan Lu; Yang Yang 002 (ACM Trans. Knowl. Discov. Data, 2020)

LDSQP: Scalable and Efficient Log Data Storage and Query Processing Scheme for Cloud Data Centers. - Jilian Zhang; Xuelian Deng (HP3C, 2021)

Non-negative Matrix Factorization: A Survey. - Jiangzhang Gan; Tong Liu; Li Li; Jilian Zhang (Comput. J., 2021)

DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive. - Jiasi Weng 001; Jian Weng 001; Jilian Zhang; Ming Li 049; Yue Zhang 025; Weiqi Luo 002 (IEEE Trans. Dependable Secur. Comput., 2021)

High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach. - Kaimin Wei; Kai Huang; Yongdong Wu; Zhetao Li; Hongliang He; Jilian Zhang; Jinpeng Chen 001; Song Guo 001 (IEEE Internet Things J., 2022)

Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold. - Junbo Ma; Jilian Zhang; Zeyu Wang (Inf. Process. Manag., 2022)

Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. - Faliang Huang; Xuelong Li 001; Changan Yuan 001; Shichao Zhang 001; Jilian Zhang; Shaojie Qiao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. - Kailun Yan; Jilian Zhang; Xiangyu Liu; Wenrui Diao; Shanqing Guo (WWW, 2023)

Improving Bitcoin Transaction Propagation Efficiency through Local Clique Network. - Kailun Yan; Jilian Zhang; Yongdong Wu (Comput. J., 2023)

FePN: A robust feature purification network to defend against adversarial examples. - Dongliang Cao; Kaimin Wei; Yongdong Wu; Jilian Zhang; Bingwen Feng; Jinpeng Chen 001 (Comput. Secur., 2023)

Dynamic Moore-Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach. - Yinyan Zhang; Jilian Zhang; Jian Weng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Verifiable Graph-Based Approximate Nearest Neighbor Search. - Chenzhao Wang; Jilian Zhang; Xuyang Liu; Kaimin Wei; Bingwen Feng (ADMA (3), 2024)

GI-SMN: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge. - Jin Qian; Kaimin Wei; Yongdong Wu; Jilian Zhang; Jinpeng Chen 001; Huan Bao (ICIC (8), 2024)

Privacy-Preserving k-core Decomposition for Graphs. - Xuyang Liu; Rong Zhao; Bingwen Feng; Jilian Zhang (WISE (5), 2024)

GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge. - Jin Qian; Kaimin Wei; Yongdong Wu; Jilian Zhang; Jipeng Chen; Huan Bao (CoRR, 2024)

Noise-resistant graph neural networks with manifold consistency and label consistency. - Zhengyu Lu; Yujing Liu; Guoqiu Wen; Bo Zhou; Wenzhen Zhang; Jilian Zhang (Expert Syst. Appl., 2024)

A Trie-Based Authentication Scheme for Approximate String Queries. - Yu Wang; Liangyong Yang; Jilian Zhang; Xuelian Deng (IEICE Trans. Inf. Syst., 2024)

Graph augmentation for node-level few-shot learning. - Zongqian Wu; Peng Zhou 011; Junbo Ma; Jilian Zhang; Guoqin Yuan; Xiaofeng Zhu 001 (Knowl. Based Syst., 2024)

Quantum KNN Classification With K Value Selection and Neighbor Selection. - Jiaye Li 001; Jian Zhang 048; Jilian Zhang; Shichao Zhang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Geometrical invariant generative invisible hyperlinks based on feature points. - Zecheng Peng; Bingwen Feng; Xiaotao Xu; Jilian Zhang; Donghong Cai; Wei Lu 001 (Appl. Soft Comput., 2025)

JPEG Compression-Resistant Generative Image Hiding Utilizing Cascaded Invertible Networks. - Tiewei Qin; Bingwen Feng; Bingbing Zhou; Jilian Zhang; Zhihua Xia; Jian Weng 001; Wei Lu 001 (IEEE Trans. Inf. Forensics Secur., 2025)

A Robust Reversible Watermarking scheme using DC prediction and histogram shifting. - Jiancheng Xiao; Shuaichao Wu; Bingwen Feng; Jilian Zhang; Bing Chen 004; Zhihua Xia; Wei Lu 001 (Signal Process., 2026)