Yue Wang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Top Venues

Publications

Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR (2024)
Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR (2024)
Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR (2024)
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR (2024)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR (2023)
Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE (2022)
Fengyu Han, Yue Wang
Machine learning performance comparison of CSI 300 stock price movement prediction after disclosure of corporate annual reports of year 2020. EITCE (2022)
Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
Fused lasso for feature selection using structural information. Pattern Recognit. 119 (2021)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR (2020)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR (2020)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web 23 (4) (2020)
Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR (2020)
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI (2020)
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM (2019)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR (2019)
Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR (2019)
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR (2019)
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336 (2019)
Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR (2018)
Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR (2018)
Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Deep Co-investment Network Learning for Financial Assets. CoRR (2018)
Haifeng Li, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao
Probabilistic frequent itemset mining over uncertain data streams. Expert Syst. Appl. 112 (2018)
Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui
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). 计算机科学 45 (12) (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData (2018)
Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
Deep Co-Investment Network Learning for Financial Assets. ICBK (2018)
Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang
Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. ACIIDS (1) (2017)
Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang
Finding Top-k Fuzzy Frequent Itemsets from Databases. DMBD (2017)
Yue Wang, Liang Chen, Li Zhang, Haifeng Li, Huaihu Cao, Jianming Zhu
On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels. Wirel. Commun. Mob. Comput. 2017 (2017)
Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR (2016)
Haifeng Li, Ning Zhang, Yuejin Zhang, Yue Wang
Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. FSDM (2016)
Haifeng Li, Yue Wang
Mining Probabilistic Frequent Itemsets with Exact Methods. FSDM (2016)
Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock
Shape classification with a vertex clustering graph kernel. ICPR (2016)
Yue Wang, Lu Bai
Link prediction via Supervised Dynamic Network Formation. ICPR (2016)
Haifeng Li, Ning Zhang, Jianming Zhu, Huaihu Cao, Yue Wang
Efficient frequent itemset mining methods over time-sensitive streams. Knowl. Based Syst. 56 (2014)
Xu Cheng, Hongyan Li, Yue Wang, Tengjiao Wang, Dongqing Yang
BF-Matrix: A Secondary Index for the Cloud Storage. WAIM (2014)
Yue Wang, Weijing Huang, Lang Zong, Tengjiao Wang, Dongqing Yang
Influence maximization with limit cost in social network. Sci. China Inf. Sci. 56 (7) (2013)
Shichuan Li, Dongqing Yang, Tengjiao Wang, Yue Wang
Highly efficient processing of XML path/twig queries using Index Caches. FSKD (2012)
JunWen Ji, Yue Wang, Kai Lei, Tengjiao Wang
Holistic twig joins based on Sketch Tree. FSKD (2012)
Yue Wang, Weijing Huang, Wei Chen, Tengjiao Wang, Dongqing Yang
Informed Prediction with Incremental Core-Based Friend Cycle Discovering. WAIM (2011)
Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew
On the performance of TCP over throughput-optimal CSMA. IWQoS (2011)
Yue Wang, Changjie Tang, Tengjiao Wang, Dongqing Yang, Jun Zhu
Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty. ADMA (1) (2011)
Tengfei Ji, Xiaoyuan Bao, Yue Wang, Dongqing Yang
A Fuzzy K-modes-based Algorithm for Soft Subspace Clustering. FSKD (2011)
Wei Chen, Lang Zong, Weijing Huang, Gaoyan Ou, Yue Wang, Dongqing Yang
An Empirical Study of Massively Parallel Bayesian Networks Learning for Sentiment Extraction from Unstructured Text. APWeb (2011)
Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew
TCP Reno over Adaptive CSMA CoRR (2010)