Yangyong Zhu

ORCID

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 72

Top Venues

Publications

Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR (2023)
Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CIKM (2023)
Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu
TIGER: Temporal Interaction Graph Embedding with Restarts. WWW (2023)
Xiaosu Wang, Yun Xiong, Beichen Kang, Yao Zhang, Philip S. Yu, Yangyong Zhu
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting. WSDM (2023)
Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu
TIGER: Temporal Interaction Graph Embedding with Restarts. CoRR (2023)
Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) (2023)
Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CoRR (2023)
Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA (4) (2023)
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW (2023)
Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. Knowl. Inf. Syst. 65 (11) (2023)
Yazhen Ye, Yao Zhang, Yangyong Zhu
Exploring the form of big data products and the supporting systems. J. Big Data 9 (1) (2022)
Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu
Triangle Graph Interest Network for Click-through Rate Prediction. CoRR (2022)
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM (2022)
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CoRR (2022)
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. Knowl. Inf. Syst. 64 (1) (2022)
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
CLARE: A Semi-supervised Community Detection Algorithm. KDD (2022)
Zejian Shi, Yun Xiong, Xiaolong Zhang, Yao Zhang, Shanshan Li, Yangyong Zhu
Cross-Modal Contrastive Learning for Code Search. ICSME (2022)
Hao Niu, Yun Xiong, Jian Gao, Zhongchen Miao, Xiaosu Wang, Hongrun Ren, Yao Zhang, Yangyong Zhu
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification. COLING (2022)
Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. CIKM (2022)
Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu
Multi-task attributed graphical lasso and its application in fund classification. World Wide Web 25 (3) (2022)
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Caihua Shan, Yiheng Sun, Yangyong Zhu, Philip S. Yu
CLARE: A Semi-supervised Community Detection Algorithm. CoRR (2022)
Yi Xie, Yun Xiong, Yangyong Zhu, Philip S. Yu, Cheng Jin, Qiang Wang, Haihong Li
Concurrent Transformer for Spatial-Temporal Graph Modeling. DASFAA (3) (2022)
Wensen Jiang, Yizhu Jiao, Qingqin Wang, Chuanming Liang, Lijie Guo, Yao Zhang, Zhijun Sun, Yun Xiong, Yangyong Zhu
Triangle Graph Interest Network for Click-through Rate Prediction. WSDM (2022)
Joseph M. Plasek, Chunlei Tang, Xiaoxia Wang, Yun Xiong, Yangyong Zhu, Yanming He, Patricia C. Dykes, David W. Bates, Li Zhou
Addressing Disparities in Diabetes Using Temporal Fairness Models. AMIA (2021)
Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM (2021)
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang
Radiology Report Generation for Rare Diseases via Few-shot Transformer. BIBM (2021)
Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
Improving Chinese Character Representation with Formation Graph Attention Network. CIKM (2021)
Yun Xiong, Yizhou Zhang, Xiangnan Kong, Huidi Chen, Yangyong Zhu
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Yu Duan, Yun Xiong, Yao Zhang, Yuwei Fu, Yangyong Zhu
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval. ICMR (2021)
Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. BIBM (2021)
Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu
BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. ICDM (2021)
Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu
Highly Liquid Temporal Interaction Graph Embeddings. WWW (2021)
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM (2021)
Yi Xie, Yun Xiong, Yangyong Zhu
ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting. CoRR (2020)
Joseph M. Plasek, Chunlei Tang, Yangyong Zhu, Yajun Huang, David W. Bates
Following data as it crosses borders during the COVID-19 pandemic. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM (2020)
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR (2020)
Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu
CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM (2020)
Tao Lei, Yun Xiong, Peng Tian, Yangyong Zhu
MinSR: Multi-level Interests Network for Session-Based Recommendation. DASFAA (2) (2020)
Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip S. Yu, Yangyong Zhu
Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. DASFAA (3) (2020)
Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang
SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. DASFAA (3) (2020)
Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu
A measure based pricing framework for data products. Web Intell. 18 (4) (2020)
Yao Zhang, Yun Xiong, Yun Ye, Tengfei Liu, Weiqiang Wang, Yangyong Zhu, Philip S. Yu
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks. KDD (2020)
Yali Xiang, Yun Xiong, Yangyong Zhu
TI-GCN: A Dynamic Network Embedding Method with Time Interval Information. IEEE BigData (2020)
Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu
Multi-task Attributed Graphical Lasso. APWeb/WAIM (1) (2020)
Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu
Few-shot Radiology Report Generation for Rare Diseases. BIBM (2020)
Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu
KASR: Knowledge-Aware Sequential Recommendation. APWeb/WAIM (1) (2020)
Yi Xie, Yun Xiong, Yangyong Zhu
SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction. DASFAA (1) (2020)
Tianyi Tao, Yun Xiong, Guosen Wang, Yao Zhang, Peng Tian, Yangyong Zhu
IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking. APWeb/WAIM (1) (2020)
Yazhen Ye, Guohua Liu, Yangyong Zhu
数据资产相关概念综述 (Survey of Concepts Related to Data Assets). 计算机科学 46 (11) (2019)
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CIKM (2019)
Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. IEEE BigData (2019)
Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu
Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation. DASFAA (3) (2019)
Qingqin Wang, Yun Xiong, Yangyong Zhu
GAN-Based Deep Matrix Factorization for Recommendation Systems. ICDS (2019)
Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. DASFAA (1) (2019)
Yao Zhang, Yun Xiong, Lu Ruan, Xiangnan Kong, Yangyong Zhu
NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks. WI (Companion) (2019)
Shaofeng Xu, Yun Xiong, Xiangnan Kong, Yangyong Zhu
Net2Text: An Edge Labelling Language Model for Personalized Review Generation. DASFAA (1) (2019)
Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. CIKM (2019)
Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CoRR (2019)
Chunlei Tang, Yangyong Zhu, Suzanne V. Blackley, Joseph M. Plasek, Meihan Wan, Li Zhou, Jing Ma, David W. Bates
Visualizing Literature Review Theme Evolution on Timeline Maps: Comparison Across Disciplines. IEEE Access 7 (2019)
Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu
Tracking Dynamic Magnet Communities: Insights from a Network Perspective. DASFAA (1) (2018)
Yun Xiong, Yizhou Zhang, Xiangnan Kong, Yangyong Zhu
NetCycle+: A Framework for Collective Evolution Inference in Dynamic Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 30 (8) (2018)
Li Cai, Yu Liang, Yangyong Zhu, Jing He
数据质量的历史沿革和发展趋势 (History and Development Tendency of Data Quality). 计算机科学 45 (4) (2018)
Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang
Predicting Disease-related Associations by Heterogeneous Network Embedding. BIBM (2018)
Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu
Deep Collective Classification in Heterogeneous Information Networks. WWW (2018)
Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu, Shimin Zhao, Shanshan Li
Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions. DASFAA (1) (2018)
Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. SDM (2017)
Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
Learning Node Embeddings in Interaction Graphs. CIKM (2017)
Guandong Sun, Yun Xiong, Yangyong Zhu
How the Passengers Flow in Complex Metro Networks? SSDBM (2017)
Mingmin Chi, Antonio Plaza, Jón Atli Benediktsson, Zhongyi Sun, Jinsheng Shen, Yangyong Zhu
Big Data for Remote Sensing: Challenges and Opportunities. Proc. IEEE 104 (11) (2016)
Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. KDD (2016)
Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong
Multi-source Information Fusion for Personalized Restaurant Recommendation. SIGIR (2015)
Zhongyi Sun, Fengke Chen, Mingmin Chi, Yangyong Zhu
A Spark-Based Big Data Platform for Massive Remote Sensing Data Processing. ICDS (2015)
Yun Xiong, Yangyong Zhu, Philip S. Yu
Top-k Similarity Join in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 27 (6) (2015)
Yangyong Zhu, Yun Xiong
Defining Data Science. CoRR (2015)
Yangyong Zhu, Yun Xiong
Towards Data Science. Data Sci. J. 14 (2015)
Li Cai, Yangyong Zhu
The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Sci. J. 14 (2015)
Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen
Co-anomaly Event Detection in Multiple Temperature Series. KSEM (2013)
Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu
Time Series Representation: A Random Shifting Perspective. WAIM (2013)
Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei
Towards Cohesive Anomaly Mining. AAAI (2013)
Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen
Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion. PAKDD (2) (2013)
Jing Sun, Yangyong Zhu
Microblogging Personalized Recommendation Based on Ego Networks. Web Intelligence (2013)
Mingmin Chi, Jun Liu, Huijun He, Jiangfeng Bao, Yangyong Zhu
Construction of Chinese A-shares Network Using Latent Dirichlet Allocation. Web Intelligence (2012)
Zhijie Lin, Yun Xiong, Yangyong Zhu
Link Prediction Using BenefitRanks in Weighted Networks. Web Intelligence (2012)
Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu
Clustering Based on Yukawa Potential. SDM (2012)
Zhicheng Liao, Yun Xiong, Yangyong Zhu
FIND - A Data Cloud Platform for Financial Data Services. DATA (2012)
Zhijie Lin, Yan Chen, Shiwei Wu, Yun Xiong, Yangyong Zhu, Guangyong Zheng
Mining hub-based protein complexes in massive biological networks. BIBM Workshops (2012)
Yun Xiong, Junhua He, Yangyong Zhu
TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement. BIBM Workshops (2010)
Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu
User Navigation Behavior Mining Using Multiple Data Domain Description. Web Intelligence/IAT Workshops (2010)
Li Xue, Yun Xiong, Yangyong Zhu
A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity. Brain Informatics (2010)
Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements. IEEE Intell. Syst. 24 (3) (2009)
Yun Xiong, Yangyong Zhu
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. ICDM (2009)
Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu
A Cost-Effective LSH Filter for Fast Pairwise Mining. ICDM (2009)
Yangyong Zhu, Ning Zhong, Yun Xiong
Data Explosion, Data Nature and Dataology. Brain Informatics (2009)
Guangyong Zheng, Kang Tu, Qing Yang, Yun Xiong, Chaochun Wei, Lu Xie, Yangyong Zhu, Yixue Li
ITFP: an integrated platform of mammalian transcription factors. Bioinform. 24 (20) (2008)
Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu
An Agent-Based Approach to Mine Transcriptional Regulatory Elements. Web Intelligence/IAT Workshops (2008)
Jin-Jiu Li, Sheng-Li Sun, Yangyong Zhu
Efficient Maintaining of Skyline over Probabilistic Data Stream. ICNC (4) (2008)
Guangyong Zheng, Ziliang Qian, Qing Yang, Chaochun Wei, Lu Xie, Yangyong Zhu, Yixue Li
The combination approach of SVM and ECOC for powerful identification and classification of transcription factor. BMC Bioinform. 9 (2008)
Yaqin Wang, Yue Chen, Minggui Qin, Yangyong Zhu
SPANBRE: An Efficient Hierarchical Clustering Algorithm for Spatial Data with Neighborhood Relations. FSKD (3) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yangyong Zhu