Yue Wang - RankMe

82 papers A* 14B 6C 2Journal 36Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery. CoRR Deyun Zhang, Jun Li, Shijia Geng, Yue Wang, Shijie Chen, Sumei Fan, Qinghao Zha, Shenda Hong
2026	A*	`conf`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. AAAI Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2025	J	`jnl`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	A*	`conf`	AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks: (Extended Abstract). ICDE Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock
2025	A*	`conf`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. IJCAI Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	J	`jnl`	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. CoRR Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu, Meng Sang, Weilun Xu, Haixue Wang, Qinghao Zhao, Chuandong Cheng, Peng Wang, Shenda Hong
2025	A*	`conf`	An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection. IJCAI Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	Detecting Intent Drift in Continuous Conversation via Temporal Transition Accumulation. ICDM Yue Wang, Dehang Fu, Jie Tan, Junxiao Han, Yao Wan, Lixin Cui, Lu Bai, Philip S. Yu
2025	J	`jnl`	DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information. Patterns Yongfan Lai, Jiabo Chen, Qinghao Zhao, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	J	`jnl`	DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information. CoRR Yongfan Lai, Jiabo Chen, Deyun Zhang, Yue Wang, Shijia Geng, Hongyan Li, Shenda Hong
2025	A*	`conf`	ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks. ICML Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint. IJCAI Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification. IJCAI Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock
2025	A*	`conf`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification (Extended Abstract). ICDE Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024	J	`jnl`	AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2024	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2024	J	`jnl`	ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock
2024	J	`jnl`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock
2024	A*	`conf`	HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. NeurIPS Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock
2024	A*	`conf`	QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
2024	J	`jnl`	SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock
2023	J	`jnl`	AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock
2023	—	`conf`	C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock
2023	J	`jnl`	Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock
2023	J	`jnl`	Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022	B	`conf`	ABDPool: Attention-based Differentiable Pooling. ICPR Yue Liu, Lixin Cui, Yue Wang, Lu Bai
2022	J	`jnl`	Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
2022	J	`jnl`	HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock
2022	A*	`conf`	Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock
2022	—	`conf`	Machine learning performance comparison of CSI 300 stock price movement prediction after disclosure of corporate annual reports of year 2020. EITCE Fengyu Han, Yue Wang
2022	J	`jnl`	Writing Style Aware Document-level Event Extraction. CoRR Zhuo Xu, Yue Wang, Lu Bai, Lixin Cui
2021	J	`jnl`	Fused lasso for feature selection using structural information. Pattern Recognit. Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock
2020	A*	`conf`	A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2020	—	`conf`	Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock
2020	B	`conf`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	J	`jnl`	Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
2020	J	`jnl`	Generative temporal link prediction via self-tokenized sequence modeling. World Wide Web Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019	J	`jnl`	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
2019	A*	`conf`	Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
2019	J	`jnl`	Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock
2019	J	`jnl`	Generative Temporal Link Prediction via Self-tokenized Sequence Modeling. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
2019	J	`jnl`	Identifying the most informative features using a structurally interacting elastic net. Neurocomputing Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2019	J	`jnl`	Probabilistic maximal frequent itemset mining methods over uncertain databases. Intell. Data Anal. Haifeng Li, Mo Hai, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao
2018	B	`conf`	A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock
2018	—	`conf`	Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang
2018	—	`conf`	Deep Co-Investment Network Learning for Financial Assets. ICBK Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Deep Co-investment Network Learning for Financial Assets. CoRR Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock
2018	—	`conf`	Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui
2018	J	`jnl`	Probabilistic frequent itemset mining over uncertain data streams. Expert Syst. Appl. Haifeng Li, Ning Zhang, Jianming Zhu, Yue Wang, Huaihu Cao
2018	J	`jnl`	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 Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui
2017	—	`conf`	Finding Top-k Fuzzy Frequent Itemsets from Databases. DMBD Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang
2017	—	`conf`	Fuzzy Maximal Frequent Itemset Mining Over Quantitative Databases. ACIIDS (1) Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang
2017	J	`jnl`	On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels. Wirel. Commun. Mob. Comput. Yue Wang, Liang Chen, Li Zhang, Haifeng Li, Huaihu Cao, Jianming Zhu
2016	B	`conf`	Link prediction via Supervised Dynamic Network Formation. ICPR Yue Wang, Lu Bai
2016	—	`conf`	Mining Probabilistic Frequent Itemsets with Exact Methods. FSDM Haifeng Li, Yue Wang
2016	—	`conf`	P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock
2016	—	`conf`	Probabilistic Frequent Itemset Mining Algorithm over Uncertain Databases with Sampling. FSDM Haifeng Li, Ning Zhang, Yuejin Zhang, Yue Wang
2016	B	`conf`	Shape classification with a vertex clustering graph kernel. ICPR Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock
2014	—	`conf`	BF-Matrix: A Secondary Index for the Cloud Storage. WAIM Xu Cheng, Hongyan Li, Yue Wang, Tengjiao Wang, Dongqing Yang
2014	J	`jnl`	Efficient frequent itemset mining methods over time-sensitive streams. Knowl. Based Syst. Haifeng Li, Ning Zhang, Jianming Zhu, Huaihu Cao, Yue Wang
2014	—	`conf`	Exploring the Intervention Problem with the Networked Poisson Process in a Real Heterogeneous Social Network. WAIM Yue Wang
2013	J	`jnl`	Influence maximization with limit cost in social network. Sci. China Inf. Sci. Yue Wang, Weijing Huang, Lang Zong, Tengjiao Wang, Dongqing Yang
2012	—	`conf`	Highly efficient processing of XML path/twig queries using Index Caches. FSKD Shichuan Li, Dongqing Yang, Tengjiao Wang, Yue Wang
2012	—	`conf`	Holistic twig joins based on Sketch Tree. FSKD JunWen Ji, Yue Wang, Kai Lei, Tengjiao Wang
2011	—	`conf`	A Fuzzy K-modes-based Algorithm for Soft Subspace Clustering. FSKD Tengfei Ji, Xiaoyuan Bao, Yue Wang, Dongqing Yang
2011	C	`conf`	An Empirical Study of Massively Parallel Bayesian Networks Learning for Sentiment Extraction from Unstructured Text. APWeb Wei Chen, Lang Zong, Weijing Huang, Gaoyan Ou, Yue Wang, Dongqing Yang
2011	—	`conf`	Efficient Subject-Oriented Evaluating and Mining Methods for Data with Schema Uncertainty. ADMA (1) Yue Wang, Changjie Tang, Tengjiao Wang, Dongqing Yang, Jun Zhu
2011	—	`conf`	Informed Prediction with Incremental Core-Based Friend Cycle Discovering. WAIM Yue Wang, Weijing Huang, Wei Chen, Tengjiao Wang, Dongqing Yang
2011	J	`jnl`	Mining Multi-scale Intervention Rules from Time Series and Complex Network. Int. J. Comput. Intell. Syst. Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang
2011	B	`conf`	On the performance of TCP over throughput-optimal CSMA. IWQoS Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew
2010	—	`conf`	An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. WAIM Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu
2010	—	`conf`	Hotspot District Trajectory Prediction. WAIM Workshops Hongjun Li, Changjie Tang, Shaojie Qiao, Yue Wang, Ning Yang, Chuan Li
2010	C	`conf`	MMIR: Mining Multi-scale Intervention Rules in Sub-Complex System. APWeb Jiaoling Zheng, Changjie Tang, Shaojie Qiao, Ning Yang, Yue Wang, Yu Chen, Jun Zhu
2010	J	`jnl`	TCP Reno over Adaptive CSMA CoRR Wei Chen, Yue Wang, Minghua Chen, Soung Chang Liew
2009	—	`conf`	CDA: A Novel Clustering Delegate Algorithm Based on Minority Protection. FSKD (1) Jianping Xiang, Changjie Tang, Yu Chen, Lei Duan, Yue Wang, Ning Yang
2009	—	`conf`	Intervention Events Detection and Prediction in Data Streams. APWeb/WAIM Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang, Jun Zhu
2009	—	`conf`	Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. APWeb/WAIM Workshops Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, Jun Zhu
2009	—	`conf`	Mining Interventions from Parallel Event Sequences. APWeb/WAIM Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, Jun Zhu