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ORCIDYue Wang 0014
Person information
- affiliation: Central University of Finance and Economics, School of Information, Beijing, China
- affiliation (former): Peking University, School of EECS, Key Laboratory of High Confidence Software Technologies, Beijing, China
Other persons with the same name
- Yue Wang — disambiguation page
- Yue Wang 0001 — Beijing Institute of Technology, Department of Electronic Engineering, China
- Yue Wang 0002 — Yamaguchi University, Ube, Japan
- Yue Wang 0003 — Chinese University of Hong Kong, Hong Kong
- Yue Wang 0004 — Maryland University, Baltimore, MD, USA
- Yue Wang 0005 — Institute for Infocomm Research, A*Star (Agency for Science, Technology and Research), Singapore, Singapore (and 1 more)
- Yue Wang 0006 — NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
- Yue Wang 0007
![[0000-0002-9648-2838]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9648-2838")
— Department of Electronic Engineering, Tsinghua University, Beijing, China - Yue Wang 0008 — Samsung Research and Development Institute, Communications Research Group, London, UK (and 2 more)
- Yue Wang 0009 — University of North Carolina at Charlotte, College of Computing and Informatics, NC, USA
- Yue Wang 0010 — Beijing University of Posts and Telecommunications, National Engineering Laboratory for Mobile Network, China
- Yue Wang 0011 — Clemson University, Department of Mechanical Engineering, SC, USA (and 1 more)
- Yue Wang 0012 — Shenzhen University, Shenzhen Institute of Computing Sciences, China (and 1 more)
- Yue Wang 0013 — Liaoning Shihua University, School of Information and Control Engineering, Fushun, China
- Yue Wang 0015 — Bohai University, College of New Energy, Jinzhou, China
- Yue Wang 0017 — Microsoft Research Asia (and 1 more)
- Yue Wang 0018 — Xi'an Jiaotong University, School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, China
- Yue Wang 0019 — Georgia State University, Atlanta, GA, USA (and 3 more)
- Yue Wang 0020 — Zhejiang University, State Key Laboratory of Industrial Control and Technology, China (and 1 more)
- Yue Joseph Wang (aka: Yue Wang 0021) — Virginia Tech, Department of Electrical and Computer Engineering, Arlington, VA, USA
- Yue Wang 0022 — University of Missouri, Columbia, MO, USA
- Yue Wang 0023 — INRIA Centre de recherche Lille Nord Europe, Villeneuve d'Ascq, France
- Yue Wang 0024 — Macquarie University, Department of Management, Sydney, NSW, Australia (and 1 more)
- Yue Wang 0025 — Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun, China
- Yue Wang 0026 — Rice University, Department of Computer Science, Houston, TX, USA
- Yue Wang 0027 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Yue Wang 0028 — Nanjing University of Aeronautics and Astronautics, College of Economics and Management, China
- Yue Wang 0029 — Beihang University, School of Computer Science and Engineering, Beijing Key Laboratory of Digital Media, China
- Yue Wang 0030 — Beihang University in Shenzhen, Research Institute, China
- Yue Wang 0031 — Nanjing University of Posts and Telecommunications, College of Telecommunication and Information Engineering, China
- Yue Wang 0032 — Bytedance Inc, Beijing, China (and 1 more)
- Yue Wang 0033 — New Jersey Institute of Technology, Newark, NJ, USA
- Yue Wang 0034 — Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- Yue Wang 0035 — University of North Carolina at Chapel Hill, NC, USA (and 2 more)
- Yue Wang 0036 — Rice University, Department of Electrical and Computer Engineering, USA
- Yue Wang 0037 — University of Delaware, Department of Electrical and Computer Engineering, USA
- Yue Wang 0038 — Dalian University of Technology, Dalian, China
- Yue Wang 0039 — Soochow University
- Yue Wang 0040 — Research Organization of Information and Systems, Kashiwa, Chiba, Japan (and 1 more)
- Yue Wang 0041 — University of Southern California, CA, USA (and 2 more)
- Yue Wang 0042 — Hang Seng Management College, Department of Supply Chain and Information Management, Hong Kong (and 1 more)
- Yue Wang 0043 — Xi'an University, School of Information Engineering, China
- Yue Wang 0044 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China
- Yue Wang 0045 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 1 more)
- Yue Wang 0046 — Tianjin University, State Key Laboratory of Precision Measuring Technology and Instruments, China
- Yue Wang 0047 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Yue Wang 0048 — Nanchang University, Second Clinical Medical College, China
- Yue Wang 0049 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
- Yue Wang 0050 — Shandong University, School of Mathematics, Jinan, China
- Yue Wang 0051 — PLA Information Engineering University, School of Geospatial Information, Zhengzhou, China
- Yue Wang 0052 — Qingdao University, College of Computer Science & Technology, China
- Yue Wang 0053 — Shanxi Normal University, College of Mathematics and Computer Science, China
- Yue Wang 0054 — University of Utah, Department of Mechanical Engineering, Salt Lake City, UT, USA (and 3 more)
- Yue Wang 0055 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, NY, USA
- Yue Wang 0056 — Northeast Electric Power University, School of Automation Engineering, Jilin, China
- Yue Wang 0057 — Shenzhen University, College of Electronics and Information Engineering, Guangdong Engineering Research Center of Position Sensing and Detection, China
- Yue Wang 0058 — Beihang University, School of Cyber Science and Technology, Beijing, China
- Yue Wang 0059 — Xi'an Physical Education University, China
- Yue Wang 0060 — Xi'an Jiaotong-Liverpool University, Department of Mathematical Sciences, Suzhou, China
- Yue Wang 0061 — Zhejiang University, School of Materials Science and Engineering, Hangzhou, China
- Yue Wang 0062 — Shanghai Ocean University, College of Information Technology, China
- Yue Wang 0063 — Xidian University, School of Cyber Engineering, Xi'an, China (and 1 more)
- Yue Wang 0065 — Simon Fraser University, Department of Linguistics, Language and Brain Lab, Burnaby, Canada
- Yue Wang 0066 — University of North Carolina at Chapel Hill, NC, USA
- Yue Wang 0067 — University of Greenwich, Greenwich Campus, London, UK
- Yue Wang 0068 — University of Central Florida, Orlando, FL, USA (and 1 more)
- Yue Wang 0069 — Bohai University, School of Information Science and Technology, Jinzhou, China
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Journal Articles
- 2024
[j16]Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock:
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145: 109877 (2024)- [j15]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): 475-489 (2024) - [j14]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(11): 6370-6384 (2024) - [j13]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): 4423-4437 (2024) - 2023
- [j12]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): 1747-1760 (2023) - [j11]Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1808-1822 (2023) - 2021
- [j10]Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Fused lasso for feature selection using structural information. Pattern Recognit. 119: 108058 (2021) - 2020
- [j9]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): 2471-2488 (2020) - 2019
- [j8]Haifeng Li, Mo Hai, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao:
Probabilistic maximal frequent itemset mining methods over uncertain databases. Intell. Data Anal. 23(6): 1219-1241 (2019) - [j7]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336: 13-26 (2019) - 2018
- [j6]Haifeng Li, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao:
Probabilistic frequent itemset mining over uncertain data streams. Expert Syst. Appl. 112: 274-287 (2018) - [j5]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): 268-278 (2018) - 2017
- [j4]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) - 2014
- [j3]Haifeng Li, Ning Zhang, Jianming Zhu, Huaihu Cao, Yue Wang:
Efficient frequent itemset mining methods over time-sensitive streams. Knowl. Based Syst. 56: 281-298 (2014) - 2013
- [j2]Yue Wang, Weijing Huang, Lang Zong, Tengjiao Wang, Dongqing Yang:
Influence maximization with limit cost in social network. Sci. China Inf. Sci. 56(7): 1-14 (2013) - 2011
- [j1]Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang:
Mining Multi-scale Intervention Rules from Time Series and Complex Network. Int. J. Comput. Intell. Syst. 4(4): 728-738 (2011)
Conference and Workshop Papers
- 2024
- [c36]Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML 2024 - 2023
- [c35]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: 70-80 - 2022
- [c34]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: 1682-1686 - [c33]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: 3132-3133 - [c32]Yue Liu, Lixin Cui, Yue Wang, Lu Bai:
ABDPool: Attention-based Differentiable Pooling. ICPR 2022: 3021-3026 - 2020
- [c31]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: 278-285 - [c30]Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020: 4453-4460 - [c29]Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR 2020: 184-194 - 2019
- [c28]Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu:
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM 2019: 1366-1371 - 2018
- [c27]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: 1514-1523 - [c26]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-Investment Network Learning for Financial Assets. ICBK 2018: 41-48 - [c25]Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR 2018: 1030-1035 - [c24]Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang:
Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR 2018: 227-236 - 2017
- [c23]Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang:
Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. ACIIDS (1) 2017: 476-486 - [c22]Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang:
Finding Top-k Fuzzy Frequent Itemsets from Databases. DMBD 2017: 22-30 - 2016
- [c21]Haifeng Li, Ning Zhang, Yuejin Zhang, Yue Wang:
Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. FSDM 2016: 159-166 - [c20]Haifeng Li, Yue Wang:
Mining Probabilistic Frequent Itemsets with Exact Methods. FSDM 2016: 179-185 - [c19]Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock:
Shape classification with a vertex clustering graph kernel. ICPR 2016: 2634-2639 - [c18]Yue Wang, Lu Bai:
Link prediction via Supervised Dynamic Network Formation. ICPR 2016: 4160-4165 - [c17]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: 3-14 - 2014
- [c16]Yue Wang:
Exploring the Intervention Problem with the Networked Poisson Process in a Real Heterogeneous Social Network. WAIM 2014: 150-154 - [c15]Xu Cheng, Hongyan Li, Yue Wang, Tengjiao Wang, Dongqing Yang:
BF-Matrix: A Secondary Index for the Cloud Storage. WAIM 2014: 384-396 - 2012
- [c14]JunWen Ji, Yue Wang, Kai Lei, Tengjiao Wang:
Holistic twig joins based on Sketch Tree. FSKD 2012: 1191-1195 - [c13]Shichuan Li, Dongqing Yang, Tengjiao Wang, Yue Wang:
Highly efficient processing of XML path/twig queries using Index Caches. FSKD 2012: 2939-2943 - 2011
- [c12]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: 325-338 - [c11]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: 424-435 - [c10]Tengfei Ji, Xiaoyuan Bao, Yue Wang, Dongqing Yang:
A Fuzzy K-modes-based Algorithm for Soft Subspace Clustering. FSKD 2011: 1080-1084 - [c9]Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew:
On the performance of TCP over throughput-optimal CSMA. IWQoS 2011: 1-9 - [c8]Yue Wang, Weijing Huang, Wei Chen, Tengjiao Wang, Dongqing Yang:
Informed Prediction with Incremental Core-Based Friend Cycle Discovering. WAIM 2011: 530-541 - 2010
- [c7]Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu:
MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. APWeb 2010: 369-371 - [c6]Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li:
Hotspot District Trajectory Prediction. WAIM Workshops 2010: 74-84 - [c5]Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu:
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. WAIM 2010: 238-249 - 2009
- [c4]Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, Jun Zhu:
Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. APWeb/WAIM Workshops 2009: 234-244 - [c3]Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang:
CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection. FSKD (1) 2009: 420-424 - [c2]Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu:
Mining Interventions from Parallel Event Sequences. APWeb/WAIM 2009: 297-307 - [c1]Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang, Jun Zhu:
Intervention Events Detection and Prediction in Data Streams. APWeb/WAIM 2009: 519-525
Informal and Other Publications
- 2024
- [i15]Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR abs/2403.16130 (2024) - [i14]Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR abs/2403.16133 (2024) - [i13]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 abs/2405.10218 (2024) - [i12]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 abs/2405.14742 (2024) - 2023
- [i11]Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock:
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR abs/2303.03396 (2023) - 2022
- [i10]Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui:
Writing Style Aware Document-level Event Extraction. CoRR abs/2201.03188 (2022) - [i9]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. CoRR abs/2206.07472 (2022) - [i8]Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR abs/2211.02904 (2022) - 2020
- [i7]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 abs/2010.06310 (2020) - 2019
- [i6]Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR abs/1908.04573 (2019) - [i5]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 abs/1910.09153 (2019) - [i4]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 abs/1911.11486 (2019) - 2018
- [i3]Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR abs/1809.02860 (2018) - [i2]Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui:
Deep Co-investment Network Learning for Financial Assets. CoRR abs/1809.04227 (2018) - 2010
- [i1]Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew:
TCP Reno over Adaptive CSMA. CoRR abs/1007.5239 (2010)
Coauthor Index
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