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2020 – today
- 2024
[i11]Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen:
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need. CoRR abs/2408.15997 (2024)- 2023
- [j22]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): 4687-4712 (2023) - [c80]Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu:
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CIKM 2023: 3174-3183 - [c79]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: 250-265 - [c78]Mingxia Wang, Yun Xiong, Yao Zhang, Philip S. Yu, Yangyong Zhu:
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction. DASFAA (4) 2023: 266-275 - [c77]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: 904-912 - [c76]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: 240-250 - [c75]Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu:
TIGER: Temporal Interaction Graph Embedding with Restarts. WWW 2023: 478-488 - [i10]Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu:
ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR abs/2302.03555 (2023) - [i9]Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu:
TIGER: Temporal Interaction Graph Embedding with Restarts. CoRR abs/2302.06057 (2023) - [i8]Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu:
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CoRR abs/2309.02025 (2023) - 2022
- [j21]Yazhen Ye, Yao Zhang, Yangyong Zhu:
Exploring the form of big data products and the supporting systems. J. Big Data 9(1): 48 (2022) - [j20]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): 235-260 (2022) - [j19]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): 1425-1446 (2022) - [c74]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: 1574-1579 - [c73]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: 2651-2660 - [c72]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: 6827-6836 - [c71]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: 314-321 - [c70]Zejian Shi, Yun Xiong, Xiaolong Zhang, Yao Zhang, Shanshan Li, Yangyong Zhu:
Cross-Modal Contrastive Learning for Code Search. ICSME 2022: 94-105 - [c69]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: 2059-2069 - [c68]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: 401-409 - [i7]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 abs/2202.02698 (2022) - [i6]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 abs/2208.07211 (2022) - [i5]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 abs/2210.08274 (2022) - 2021
- [j18]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): 1032-1044 (2021) - [j17]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): 1960-1972 (2021) - [c67]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 - [c66]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: 1347-1352 - [c65]Xiaosu Wang, Yun Xiong, Hao Niu, Yao Zhang, Yangyong Zhu:
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation. BIBM 2021: 1569-1574 - [c64]Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu:
Improving Chinese Character Representation with Formation Graph Attention Network. CIKM 2021: 1999-2009 - [c63]Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu:
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM 2021: 2627-2636 - [c62]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: 1415-1420 - [c61]Yu Duan, Yun Xiong, Yao Zhang, Yuwei Fu, Yangyong Zhu:
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval. ICMR 2021: 82-91 - [c60]Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu:
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM 2021: 788-796 - [c59]Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu:
Highly Liquid Temporal Interaction Graph Embeddings. WWW 2021: 1639-1648 - 2020
- [j16]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): 1139-1141 (2020) - [j15]Yazhen Ye, Yao Zhang, Guohua Liu, Yangyong Zhu:
A measure based pricing framework for data products. Web Intell. 18(4): 249-260 (2020) - [c58]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: 394-408 - [c57]Qingqin Wang, Yun Xiong, Yangyong Zhu, Philip S. Yu:
KASR: Knowledge-Aware Sequential Recommendation. APWeb/WAIM (1) 2020: 493-508 - [c56]Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task Attributed Graphical Lasso. APWeb/WAIM (1) 2020: 670-684 - [c55]Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu:
Few-shot Radiology Report Generation for Rare Diseases. BIBM 2020: 601-608 - [c54]Yali Xiang, Yun Xiong, Yangyong Zhu:
TI-GCN: A Dynamic Network Embedding Method with Time Interval Information. IEEE BigData 2020: 838-847 - [c53]Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu:
CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM 2020: 1843-1852 - [c52]Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang:
SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. DASFAA (3) 2020: 53-69 - [c51]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: 87-103 - [c50]Tao Lei, Yun Xiong, Peng Tian, Yangyong Zhu:
MinSR: Multi-level Interests Network for Session-Based Recommendation. DASFAA (2) 2020: 650-657 - [c49]Yi Xie, Yun Xiong, Yangyong Zhu:
SAST-GNN: A Self-Attention Based Spatio-Temporal Graph Neural Network for Traffic Prediction. DASFAA (1) 2020: 707-714 - [c48]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM 2020: 222-231 - [c47]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: 1103-1113 - [i4]Yi Xie, Yun Xiong, Yangyong Zhu:
ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting. CoRR abs/2008.03970 (2020) - [i3]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu:
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR abs/2009.10273 (2020)
2010 – 2019
- 2019
- [j14]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: 90597-90607 (2019) - [j13]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): 20-24 (2019) - [c46]Yuwei Fu, Yun Xiong, Philip S. Yu, Tianyi Tao, Yangyong Zhu:
Metapath Enhanced Graph Attention Encoder for HINs Representation Learning. IEEE BigData 2019: 1103-1110 - [c45]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CIKM 2019: 419-428 - [c44]Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu:
EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. CIKM 2019: 649-658 - [c43]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: 448-452 - [c42]Shaofeng Xu, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
Net2Text: An Edge Labelling Language Model for Personalized Review Generation. DASFAA (1) 2019: 484-500 - [c41]Yun Xiong, Yao Zhang, Hanjie Fu, Wei Wang, Yangyong Zhu, Philip S. Yu:
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks. DASFAA (1) 2019: 536-552 - [c40]Qingqin Wang, Yun Xiong, Yangyong Zhu:
GAN-Based Deep Matrix Factorization for Recommendation Systems. ICDS 2019: 396-406 - [c39]Yao Zhang, Yun Xiong, Lu Ruan, Xiangnan Kong, Yangyong Zhu:
NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks. WI (Companion) 2019: 21-28 - [i2]Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu:
Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CoRR abs/1910.05736 (2019) - 2018
- [j12]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): 1-10 (2018) - [j11]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): 1547-1560 (2018) - [c38]Yun Xiong, Lu Ruan, Mengjie Guo, Chunlei Tang, Xiangnan Kong, Yangyong Zhu, Wei Wang:
Predicting Disease-related Associations by Heterogeneous Network Embedding. BIBM 2018: 548-555 - [c37]Chang Liao, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
Tracking Dynamic Magnet Communities: Insights from a Network Perspective. DASFAA (1) 2018: 406-424 - [c36]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: 442-459 - [c35]Yizhou Zhang, Yun Xiong, Xiangnan Kong, Shanshan Li, Jinhong Mi, Yangyong Zhu:
Deep Collective Classification in Heterogeneous Information Networks. WWW 2018: 399-408 - 2017
- [c34]Yao Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
Learning Node Embeddings in Interaction Graphs. CIKM 2017: 397-406 - [c33]Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong, Yangyong Zhu:
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. SDM 2017: 642-650 - [c32]Guandong Sun, Yun Xiong, Yangyong Zhu:
How the Passengers Flow in Complex Metro Networks? SSDBM 2017: 23:1-23:6 - 2016
- [j10]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): 2207-2219 (2016) - [c31]Yizhou Zhang, Yun Xiong, Xiangnan Kong, Yangyong Zhu:
NetCycle: Collective Evolution Inference in Heterogeneous Information Networks. KDD 2016: 1365-1374 - 2015
- [j9]Li Cai, Yangyong Zhu:
The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Sci. J. 14: 2 (2015) - [j8]Yangyong Zhu, Yun Xiong:
Towards Data Science. Data Sci. J. 14: 8 (2015) - [j7]Yun Xiong, Yangyong Zhu, Philip S. Yu:
Top-k Similarity Join in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 27(6): 1710-1723 (2015) - [c30]Zhongyi Sun, Fengke Chen, Mingmin Chi, Yangyong Zhu:
A Spark-Based Big Data Platform for Massive Remote Sensing Data Processing. ICDS 2015: 120-126 - [c29]Jing Sun, Yun Xiong, Yangyong Zhu, Junming Liu, Chu Guan, Hui Xiong:
Multi-source Information Fusion for Personalized Restaurant Recommendation. SIGIR 2015: 983-986 - [e1]Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He:
Data Science - Second International Conference, ICDS 2015 Sydney, Australia, August 8-9, 2015. Proceedings. Lecture Notes in Computer Science 9208, Springer 2015, ISBN 978-3-319-24473-0 [contents] - [i1]Yangyong Zhu, Yun Xiong:
Defining Data Science. CoRR abs/1501.05039 (2015) - 2013
- [c28]Yun Xiong, Yangyong Zhu, Philip S. Yu, Jian Pei:
Towards Cohesive Anomaly Mining. AAAI 2013: 984-990 - [c27]Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen:
Co-anomaly Event Detection in Multiple Temperature Series. KSEM 2013: 1-14 - [c26]Li Xue, Yun Xiong, Yangyong Zhu, Jianfeng Wu, Zhiyuan Chen:
Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion. PAKDD (2) 2013: 173-184 - [c25]Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu:
Time Series Representation: A Random Shifting Perspective. WAIM 2013: 37-50 - [c24]Jing Sun, Yangyong Zhu:
Microblogging Personalized Recommendation Based on Ego Networks. Web Intelligence 2013: 165-170 - 2012
- [c23]Zhijie Lin, Yan Chen, Shiwei Wu, Yun Xiong, Yangyong Zhu, Guangyong Zheng:
Mining hub-based protein complexes in massive biological networks. BIBM Workshops 2012: 166-173 - [c22]Zhicheng Liao, Yun Xiong, Yangyong Zhu:
FIND - A Data Cloud Platform for Financial Data Services. DATA 2012: 117-122 - [c21]Xue Bai, Zezhen Lin, Yun Xiong, Yangyong Zhu:
Clustering Based on Yukawa Potential. SDM 2012: 672-683 - [c20]Mingmin Chi, Jun Liu, Huijun He, Jiangfeng Bao, Yangyong Zhu:
Construction of Chinese A-shares Network Using Latent Dirichlet Allocation. Web Intelligence 2012: 45-49 - [c19]Zhijie Lin, Yun Xiong, Yangyong Zhu:
Link Prediction Using BenefitRanks in Weighted Networks. Web Intelligence 2012: 423-430 - 2010
- [c18]Yun Xiong, Junhua He, Yangyong Zhu:
TOPPER: An algorithm for mining top k patterns in biological sequences based on regularity measurement. BIBM Workshops 2010: 283-288 - [c17]Li Xue, Yun Xiong, Yangyong Zhu:
A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity. Brain Informatics 2010: 192-199 - [c16]Li Xue, Ming Chen, Yun Xiong, Yangyong Zhu:
User Navigation Behavior Mining Using Multiple Data Domain Description. Web Intelligence/IAT Workshops 2010: 132-135
2000 – 2009
- 2009
- [j6]Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu:
A Collaborative Multiagent System for Mining Transcriptional Regulatory Elements. IEEE Intell. Syst. 24(3): 26-37 (2009) - [c15]Yangyong Zhu, Ning Zhong, Yun Xiong:
Data Explosion, Data Nature and Dataology. Brain Informatics 2009: 147-158 - [c14]Yun Xiong, Yangyong Zhu:
Mining Peculiarity Groups in Day-by-Day Behavioral Datasets. ICDM 2009: 578-587 - [c13]Gang Zhao, Yun Xiong, Longbing Cao, Dan Luo, Xuchun Su, Yangyong Zhu:
A Cost-Effective LSH Filter for Fast Pairwise Mining. ICDM 2009: 1088-1093 - 2008
- [j5]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): 2416-2417 (2008) - [j4]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) - [c12]Yun Xiong, Guangyong Zheng, Qing Yang, Yangyong Zhu:
An Agent-Based Approach to Mine Transcriptional Regulatory Elements. Web Intelligence/IAT Workshops 2008: 567-570 - [c11]Jin-Jiu Li, Sheng-Li Sun, Yangyong Zhu:
Efficient Maintaining of Skyline over Probabilistic Data Stream. ICNC (4) 2008: 378-382 - 2007
- [c10]Jiankui Guo, Qing Wang, Zhenhua Huang, Sheng-Li Sun, Yangyong Zhu:
Estimating Similarity over Data Streams Based on Dynamic Time Warping. FSKD (3) 2007: 53-57 - [c9]Yaqin Wang, Yue Chen, Minggui Qin, Yangyong Zhu:
SPANBRE: An Efficient Hierarchical Clustering Algorithm for Spatial Data with Neighborhood Relations. FSKD (3) 2007: 665-669 - [c8]Sen Yang, Jiankui Guo, Yangyong Zhu:
An Efficient Algorithm for Web Access Pattern Mining. FSKD (2) 2007: 726-729 - [c7]Yue Chen, Jiankui Guo, Yaqin Wang, Yun Xiong, Yangyong Zhu:
Incremental Mining of Sequential Patterns Using Prefix Tree. PAKDD 2007: 433-440 - 2006
- [c6]Yue Chen, Yaqin Wang, Yangyong Zhu:
Grid-Enabled Metropolis Shared Research Platform. APWeb Workshops 2006: 477-485 - 2005
- [j3]Xu-bin Deng, Yangyong Zhu:
L-Tree Match: A New Data Extraction Model and Algorithm for Huge Text Stream with Noises. J. Comput. Sci. Technol. 20(6): 763-773 (2005) - [c5]Yun Xiong, Yangyong Zhu:
A Multi-Supports-Based Sequential Pattern Mining Algorithm. CIT 2005: 170-174 - [c4]Jiankui Guo, Beijun Ruan, Zunping Cheng, Fang-zhong Su, Yaqin Wang, Xu-bin Deng, Ning Shang, Yangyong Zhu:
A Top-Down Algorithm for Mining Web Access Patterns from Web Logs. PAKDD 2005: 838-843 - 2003
- [c3]Fengzhao Yang, Yangyong Zhu, Bole Shi:
A New Algorithm for Performing Ratings-Based Collaborative Filtering. APWeb 2003: 239-250 - 2002
- [j2]Haofeng Zhao, Jianqiu Zhu, Yangyong Zhu, Baile Shi:
ARMiner: A Data Mining Tool Based on Association Rules. J. Comput. Sci. Technol. 17(5): 594-602 (2002) - 2001
- [c2]Haofeng Zhou, Beijun Ruan, Jianqiu Zhu, Yangyong Zhu, Baile Shi:
ARMiner: A Data Mining Tool Based on Association Rules. WAIM 2001: 114-121 - 2000
- [c1]Haofeng Zhou, Pan Gao, Yangyong Zhu:
Mining Association Rules with Negative Items Using Interest Measure. Web-Age Information Management 2000: 121-132
1990 – 1999
- 1997
- [j1]Yangyong Zhu, Depei Guo, Baile Shi:
Techniques of integrating Datalog with PROLOG. J. Comput. Sci. Technol. 12(6): 520-531 (1997)
Coauthor Index
[i11] [j22] [c80] [c79] [c78] [c77] [c76] [c75] [i10] [i9] [i8] [j20] [j19] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [i7] [i6] [i5] [j18] [j17] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i4] [i3] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [i2] [j11] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [j8] [j7] [c29] [i1] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c19] [c18] [c17] [c16] [j6] [c15] [c14] [c13] [j5] [c12] [c7] [c5]
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