Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. - Jie Zuo; Changjie Tang; Lei Duan; Yue Wang 014; Liang Tang; Tianqing Zhang; Jun Zhu (APWeb/WAIM Workshops, 2009)

CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection. - Jianping Xiang; Changjie Tang; Yu Chen; Lei Duan; Yue Wang 014; Ning Yang 001 (FSKD (1), 2009)

Intervention Events Detection and Prediction in Data Streams. - Yue Wang 014; Changjie Tang; Chuan Li 002; Yu Chen; Ning Yang 001; Rong Tang 006; Jun Zhu (APWeb/WAIM, 2009)

Mining Interventions from Parallel Event Sequences. - Ning Yang 001; Changjie Tang; Yue Wang 014; Rong Tang 006; Chuan Li 002; Jiaoling Zheng; Jun Zhu (APWeb/WAIM, 2009)

MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. - Jiaoling Zheng; Changjie Tang; Shaojie Qiao; Ning Yang 001; Yue Wang 014; Yu Chen; Jun Zhu (APWeb, 2010)

Hotspot District Trajectory Prediction. - Hongjun Li; Changjie Tang; Shaojie Qiao; Yue Wang 014; Ning Yang 001; Chuan Li 002 (WAIM Workshops, 2010)

An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. - Yue Wang 014; Jie Zuo; Ning Yang 001; Lei Duan; Hong-Jun Li; Jun Zhu (WAIM, 2010)

TCP Reno over Adaptive CSMA - Wei Chen 002; Yue Wang 014; Minghua Chen 001; Soung Chang Liew (CoRR, 2010)

Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty. - Yue Wang 014; Changjie Tang; Tengjiao Wang 003; Dongqing Yang; Jun Zhu (ADMA (1), 2011)

An Empirical Study of Massively Parallel Bayesian Networks Learning for Sentiment Extraction from Unstructured Text. - Wei Chen 021; Lang Zong; Weijing Huang; Gaoyan Ou; Yue Wang 014; Dongqing Yang (APWeb, 2011)

A Fuzzy K-modes-based Algorithm for Soft Subspace Clustering. - Tengfei Ji; Xiaoyuan Bao; Yue Wang 014; Dongqing Yang (FSKD, 2011)

On the performance of TCP over throughput-optimal CSMA. - Wei Chen 002; Yue Wang 014; Minghua Chen 001; Soung Chang Liew (IWQoS, 2011)

Informed Prediction with Incremental Core-Based Friend Cycle Discovering. - Yue Wang 014; Weijing Huang; Wei Chen 021; Tengjiao Wang 003; Dongqing Yang (WAIM, 2011)

Mining Multi-scale Intervention Rules from Time Series and Complex Network. - Jiaoling Zheng; Changjie Tang; Shaojie Qiao; Ning Yang 001; Yue Wang 014 (Int. J. Comput. Intell. Syst., 2011)

Holistic twig joins based on Sketch Tree. - JunWen Ji; Yue Wang 014; Kai Lei; Tengjiao Wang 003 (FSKD, 2012)

Highly efficient processing of XML path/twig queries using Index Caches. - Shichuan Li; Dongqing Yang; Tengjiao Wang 003; Yue Wang 014 (FSKD, 2012)

Influence maximization with limit cost in social network. - Yue Wang 014; Weijing Huang; Lang Zong; Tengjiao Wang 003; Dongqing Yang (Sci. China Inf. Sci., 2013)

BF-Matrix: A Secondary Index for the Cloud Storage. - Xu Cheng; Hongyan Li 002; Yue Wang 014; Tengjiao Wang 003; Dongqing Yang (WAIM, 2014)

Exploring the Intervention Problem with the Networked Poisson Process in a Real Heterogeneous Social Network. - Yue Wang 014 (WAIM, 2014)

Efficient frequent itemset mining methods over time-sensitive streams. - Haifeng Li 006; Ning Zhang 022; Jianming Zhu; Huaihu Cao; Yue Wang 014 (Knowl. Based Syst., 2014)

Mining Probabilistic Frequent Itemsets with Exact Methods. - Haifeng Li 006; Yue Wang 014 (FSDM, 2016)

Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. - Haifeng Li 006; Ning Zhang 022; Yuejin Zhang; Yue Wang 014 (FSDM, 2016)

Shape classification with a vertex clustering graph kernel. - Lu Bai 001; Lixin Cui; Yue Wang 014; Xin Jin 007; Xiao Bai 001; Edwin R. Hancock (ICPR, 2016)

Link prediction via Supervised Dynamic Network Formation. - Yue Wang 014; Lu Bai 001 (ICPR, 2016)

P2P Lending Analysis Using the Most Relevant Graph-Based Features. - Lixin Cui; Lu Bai 001; Yue Wang 014; Xiao Bai 001; Zhihong Zhang 001; Edwin R. Hancock (S+SSPR, 2016)

Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. - Haifeng Li 006; Yue Wang 014; Ning Zhang 022; Yuejin Zhang (ACIIDS (1), 2017)

Finding Top-k Fuzzy Frequent Itemsets from Databases. - Haifeng Li 006; Yue Wang 014; Ning Zhang 022; Yuejin Zhang (DMBD, 2017)

On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels. - Yue Wang 014; Liang Chen 009; Li Zhang; Haifeng Li 006; Huaihu Cao; Jianming Zhu (Wirel. Commun. Mob. Comput., 2017)

Market Abnormality Period Detection via Co-movement Attention Model. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (IEEE BigData, 2018)

Deep Co-Investment Network Learning for Financial Assets. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui (ICBK, 2018)

A Deep Hybrid Graph Kernel Through Deep Learning Networks. - Lixin Cui; Lu Bai 001; Luca Rossi 004; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (ICPR, 2018)

Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. - Yuhang Jiao 001; Lixin Cui; Lu Bai 001; Yue Wang 014 (S+SSPR, 2018)

Probabilistic frequent itemset mining over uncertain data streams. - Haifeng Li 006; Ning Zhang 022; Jianming Zhu; Yue Wang 014; Huaihu Cao (Expert Syst. Appl., 2018)

基于出行模式子图的城市功能区域发现方法 (City Functional Region Discovery Algorithm Based on Travel Pattern Subgraph). - Fei Xiao; Yue Wang 014; Yinan Mei; Lu Bai 001; Lixin Cui (计算机科学, 2018)

Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. - Yue Wang 014; Yao Wan 001; Chenwei Zhang; Lu Bai 001; Lixin Cui; Philip S. Yu (ICDM, 2019)

Probabilistic maximal frequent itemset mining methods over uncertain databases. - Haifeng Li 006; Mo Hai; Ning Zhang 022; Jianming Zhu; Yue Wang 014; Huaihu Cao (Intell. Data Anal., 2019)

Identifying the most informative features using a structurally interacting elastic net. - Lixin Cui; Lu Bai 001; Zhihong Zhang 001; Yue Wang 014; Edwin R. Hancock (Neurocomputing, 2019)

Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. - Yue Wang 014; Zhuo Xu; Lu Bai 001; Yao Wan 001; Lixin Cui; Qian Zhao; Edwin R. Hancock; Philip S. Yu (ICPR, 2020)

A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Yue Wang 014; Yuhang Jiao 001; Edwin R. Hancock (IJCAI, 2020)

Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. - Lixin Cui; Lichi Zhang; Lu Bai 001; Yue Wang 014; Edwin R. Hancock (S+SSPR, 2020)

Generative temporal link prediction via self-tokenized sequence modeling. - Yue Wang 014; Chenwei Zhang; Shen Wang 005; Philip S. Yu; Lu Bai 001; Lixin Cui; Guandong Xu (World Wide Web, 2020)

Fused lasso for feature selection using structural information. - Lixin Cui; Lu Bai 001; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (Pattern Recognit., 2021)

Machine learning performance comparison of CSI 300 stock price movement prediction after disclosure of corporate annual reports of year 2020. - Fengyu Han; Yue Wang 014 (EITCE, 2022)

Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (ICDE, 2022)

ABDPool: Attention-based Differentiable Pooling. - Yue Liu; Lixin Cui; Yue Wang 014; Lu Bai 001 (ICPR, 2022)

Writing Style Aware Document-level Event Extraction. - Zhuo Xu; Yue Wang 014; Lu Bai 001; Lixin Cui (CoRR, 2022)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Edwin R. Hancock (CoRR, 2022)

C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. - Rongji Ye; Lixin Cui; Luca Rossi 004; Yue Wang 014; Zhuo Xu; Lu Bai 001; Edwin R. Hancock (GbRPR, 2023)

AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. - Lixin Cui; Ming Li 065; Yue Wang 014; Lu Bai 001; Edwin R. Hancock (CoRR, 2023)

Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. - Lu Bai 001; Yuhang Jiao 001; Lixin Cui; Luca Rossi 004; Yue Wang 014; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2023)

Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. - Lu Bai 001; Lixin Cui; Zhihong Zhang 001; Lixiang Xu; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2023)

QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. - Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (ICML, 2024)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. - Lu Bai 001; Zhuo Xu; Lixin Cui; Ming Li 065; Yue Wang 014; Edwin R. Hancock (NeurIPS, 2024)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. - Feifei Qian; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 2024)

SSHPool: The Separated Subgraph-based Hierarchical Pooling. - Zhuo Xu; Lixin Cui; Yue Wang 014; Hangyuan Du; Lu Bai 001; Edwin R. Hancock (CoRR, 2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. - Zhehan Zhao; Lu Bai 001; Lixin Cui; Ming Li 065; Yue Wang 014; Lixiang Xu; Edwin R. Hancock (CoRR, 2024)

QBER: Quantum-based Entropic Representations for un-attributed graphs. - Lixin Cui; Ming Li 065; Lu Bai 001; Yue Wang 014; Jing Li 040; Yanchao Wang; Zhao Li 007; Yunwen Chen; Edwin R. Hancock (Pattern Recognit., 2024)

Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. - Yue Wang 014; Yao Wan 001; Lu Bai 001; Lixin Cui; Zhuo Xu; Ming Li 065; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

Learning Aligned Vertex Convolutional Networks for Graph Classification. - Lixin Cui; Lu Bai 001; Xiao Bai 001; Yue Wang 014; Edwin R. Hancock (IEEE Trans. Neural Networks Learn. Syst., 2024)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2024)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). - Lu Bai 001; Lixin Cui; Yue Wang 014; Ming Li 065; Jing Li 040; Philip S. Yu; Edwin R. Hancock (ICDE, 2025)

DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. - Yongfan Lai; Jiabo Chen; Deyun Zhang; Yue Wang 014; Shijia Geng; Hongyan Li 002; Shenda Hong (CoRR, 2025)

Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments. - Sumei Fan; Deyun Zhang; Yue Wang 014; Shijia Geng; Kun Lu; Meng Sang; Weilun Xu; Haixue Wang; Qinghao Zhao; Chuandong Cheng; Peng Wang; Shenda Hong (CoRR, 2025)

AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. - Lu Bai 001; Lixin Cui; Ming Li 065; Peng Ren 001; Yue Wang 014; Lichi Zhang; Philip S. Yu; Edwin R. Hancock (IEEE Trans. Knowl. Data Eng., 2025)