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Representative Publications(代表性论著)
Jianyong Wang, Jiawei Han. BIDE: Efficient Mining of Frequent Closed Sequences. IEEE ICDE’04. (Most cited paper in ICDE 2004, 论文提出了闭合序列挖掘算法BIDE)
Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. A Framework for Clustering Evolving Data Streams. VLDB’03. (Most cited paper in VLDB 2003, 论文提出了流数据聚类框架CluStream)
Jianyong Wang, Jiawei Han, Jian Pei.CLOSET+: searching for the best strategies for mining frequent closed itemsets. ACM SIGKDD’03. (论文提出了闭合项集挖掘算法CLOSET+)
Jianyong Wang, George Karypis. On Mining Instance-Centric Classification Rules. IEEE TKDE 2006. (论文提出了以实例为中心的分类算法HARMONY)
Jianyong Wang, Zhiping Zeng, Lizhu Zhou.CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases. IEEE ICDE’06. (论文提出了完全闭合连通子图挖掘算法CLAN)
王建勇,单松巍,雷鸣,谢正茂,李晓明.海量Web搜索引擎系统中用户行为的分布特征及其启示. 中国科学: E 辑, 2001. PP: 372-384.( 论文研究表明了用户查询的分布符合幂函数的特征并具有良好的自相似性等特性)
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis.Out-of-core coherent closed quasi-clique mining from large dense graph databases. ACM TODS 2007. (论文提出了紧凑子图挖掘算法COCAIN, 一作为博士生曾志平)
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou. Parallel Community Detection on Large Networks with Propinquity Dynamics. ACM SIGKDD'09. (论文提出了一种基于动态邻近性的社区检测算法，一作为博士生张宇宙)
Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge. WWW'12. (论文提出了实体链接框架LINDEN，一作为博士生沈伟)
Wei Feng, Jianyong Wang. Incorporating Heterogeneous Information for Personalized Tag Recommendation in Social Tagging Systems. ACM SIGKDD'12. (论文提出了一种个性化的标签推荐算法，一作为博士生冯伟)
Wei Zhang, Jianyong Wang, Wei Feng. Combining Latent factor Model with Location Features for Event-based Group Recommendation. ACM SIGKDD'13. （论文提出了一种基于事件的群组推荐算法，一作为博士生张伟）
Jianhua Yin, Jianyong Wang. A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering. ACM SIGKDD’14. (论文提出了短文本聚类算法GSDMM, 一作为博士生尹建华)
Chenwei Ran, Wei Shen, Jianyong Wang. An Attention Factor Graph Model for Tweet Entity Linking. WWW'18. (论文提出了一种基于注意力因子图的短文本实体链接模型，一作为博士生冉晨伟)
Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang. Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. IEEE ICDE’19. (论文提出了一种基于医学术语与医疗文本的病人死亡风险预测模型，一作为博士生刘宁)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS’21. (论文提出了兼具高可解释性和高分类性能的分类模型RRL, 一作为博士生王焯)
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang. Effective Few-Shot Named Entity Linking by Meta-Learning. IEEE ICDE’22. (论文提出了一种少样本实体链接模型，一作为博士生李秀星)
Bowen Dong, Zhuo Wang, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Tengyu Pan, Rui Zhang, Ning Liu, Xiuxing Li, Jie Wang, Caiyan Liu, Liling Dong, Chenhui Mao, Jing Gao, Jianyong Wang*. Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure. Scientific Reports, August 3, 2023. (论文提出了基于医学知识图谱的输入模版构建方法和基于特征的混合专家机制，一作为博士生董博文)
Selected Recent Publications(2007 onwards)
Journal Papers
Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang. Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction. Accepted to appear in IEEE Transactions on Knowledge and Data Engineering. (IEEE TDKE)
Bowen Dong, Zhuo Wang, Zhenyu Li, Zhichao Duan, Jiacheng Xu, Tengyu Pan, Rui Zhang, Ning Liu, Xiuxing Li, Jie Wang, Caiyan Liu, Liling Dong, Chenhui Mao, Jing Gao, Jianyong Wang*. Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure. Scientific Reports, August 3, 2023, DOI: 10.1038/s41598-023-39543-2. (Scientific Reports)
Chenwei Ran, Wei Shen, Jianbo Gao, Yuhan Li, Jianyong Wang, Yantao Jia. Learning Entity Linking Features for Emerging Entities. IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 7, July 2023. PP: 7088 - 7102 (IEEE TDKE)
Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan. Entity Linking Meets Deep Learning: Techniques and Solutions. IEEE Transactions on Knowledge and Data Engineering, Volume 35, Number 1, January 2023. PP: 2556-2578 (IEEE TDKE)
Wei Zhang , Xin Lai, and Jianyong Wang. Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING Systems, Volume 34, Number 1, January 2023. PP: 1720-1731 (IEEE TNNLS)
Zhuo Wang, Jie Wang, Ning Liu, Caiyan Liu, Xiuxing Li, Liling Dong, Rui Zhang, Chenhui Mao, Zhichao Duan, Wei Zhang, Jing Gao*, Jianyong Wang*. Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia using Neural Networks. Journal of Alzheimer's disease, vol. 90, No. 2, PP: 609-624, Nov. 2022.
Jie Wang, Zhuo Wang, Ning Liu, Caiyan Liu, Chenhui Mao, Liling Dong,Jie Li, Xinying Huang, Dan Lei, Shanshan Chu, Jianyong Wang *, Jing Gao*. Random forest model in the diagnosis of dementia patients with normal Mini-Mental State Examination scores. Journal of Personalized Medicine, 2022, 12(1), 37 (https://doi.org/10.3390/jpm12010037). (4 January 2022)
Wei Shen, Yuwei Yin, Yang Yang, Jiawei Han, Jianyong Wang , and Xiaojie Yuan. Toward Tweet Entity Linking with Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering, Volume 34, Number 1, January 2022. PP: 6003-6017 (IEEE TDKE)
Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang. Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Transactions on Information Systems, Volume 40, Number 1, January 2022. Article 22, PP: 1-26 (ACM TOIS)
Wei Zhang, Wen Wang, Jianhua Yin, Jianyong Wang. Attentive Representation Learning with Adversarial Training for Short Text Clustering. IEEE Transactions on Knowledge and Data Engineering, Volume 34, Number 1, January 2022. PP: 5196-5210 (IEEE TDKE)
Yinan Liu, Wei Shen, Zonghai Yao, Jianyong Wang , Zhenglu Yang, and Xiaojie Yuan. Named Entity Location Prediction Combining Twitter and Web. IEEE Transactions on Knowledge and Data Engineering, Volume 33, Number 1, January 2021. PP: 3618-3633 (IEEE TDKE)
Wei Shen, Jiawei Han, Jianyong Wang, Xiaojie Yuan, Zhenglu Yang. SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks. IEEE Transactions on Knowledge and Data Engineering. Vol. 30, No.2, February 2018. PP: 353-366. (IEEE TDKE)
Wei Zhang, Jianyong Wang. Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction. IEEE Transactions on Knowledge and Data Engineering. Vol. 28, No. 11, November 2016. PP: 3013-3027. (IEEE TDKE)
Wei Shen, Jianyong Wang, Jiawei Han. Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions. IEEE Transactions on Knowledge and Data Engineering, Vol. 27, No. 2, Feb. 2015, PP: 443-460. (IEEE TDKE)
Xu Pu, Jianyong Wang, Zhenhua Song, Ping Luo, Min Wang. Efficient Incremental Update and Querying in AWETO RDF Storage System. Int. J. Data & Knowledge Engineering, Vol. 89, Jan. 2014, PP: 55-75. (DKE, Elsevier)
Chun Li, Qingyan Yang, Jianyong Wang, Ming Li. Efficient Mining of Gap-Constrained Subsequences and its Various Applications. ACM Transactions on Knowledge Discovery from Data, Vol. 6, No.1, Article No. 2, March 2012. (ACM TKDD)
Xiaoming Fan, Jianyong Wang, Xu Pu, Lizhu Zhou, Bing Lv. On Graph-based Name Disambiguation. ACM Journal of Data and Information Quality, Vol. 2, No. 2, Article 10. February 2011. (ACM JDIQ).
Guoliang Li, Jianhua Feng, Xiaofang Zhou, Jianyong Wang. Providing Built-in Keyword Search Capabilities in RDBMS. VLDB Journal, Vol. 20, No. 1, Feb. 2011, PP: 1-19. (VLDB J. , Springer Science).
Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. CONTOUR: An Efficient Algorithm for Discovering Discriminating Subsequences. Int. J. Data Mining and Knowledge Discovery, Vol. 18, No. 1, Feb. 2009, PP: 1-29. (DMKD, Springer Science).
Jianyong Wang, Jiawei Han, Chun Li. Frequent Closed Sequence Mining without Candidate Maintenance. IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 8, August 2007, PP: 1042-1056. (IEEE TKDE)
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis. Out-of-Core Coherent Closed Quasi-Clique Mining from Large Dense Graph Databases. ACM Transactions on Database Systems, Volume 32, Issue 2, Article No. 13, June 2007. (ACM TODS)
Conference Papers
Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang. Learning to Binarize Continuous Features for Neuro-Rule Networks. Accepted to appear in Proceedings of the 32nd International Joint Conference on Artificial Intelligence, Macao, S.A.R, China, Aug. 19-25 (IJCAI’23)
Zhenyu Li, Xiuxing Li, Zhichao Duan, Bowen Dong, Ning Liu, Jianyong Wang. Toward a Unified Framework for Unsupervised Complex Tabular Reasoning. Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, California, USA, April 3-7, 2023. PP: ***-*** (IEEE ICDE’23).
Zhichao Duan, Xiuxing Li, Zhenyu Li, Zhuo Wang, Jianyong Wang. Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling. Findings of the 2022 Conference of Empirical Methods in Natural Language Processing, Abu Dhabi, Dec. 7-11, 2022. PP: 1941-1951 (Findings of EMNLP 2022).
Wei Zhang, Junbing Yan, Zhuo Wang, Jianyong Wang. Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation. Proceedings of the Web conference 2022, Lyon, France, April 25-29, 2022. PP:3229-3238 (WWW'22).
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang. Effective Few-Shot Named Entity Linking by Meta-Learning. Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 9-12, 2022. PP: 178-191 (IEEE ICDE’22).
Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang. Prompt Tuning for Discriminative Pre-trained Language Models. Findings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland, May 22-27, 2022. PP: 3468-3473 (Findings of ACL 2022).
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Scalable Rule-Based Representation Learning for Interpretable Classification. Proceedings of the Thirty-Fifth Conference on Neural Information Processing Systems, Virtual-only Conference， Dec. 6-14, 2021. (NeurIPS’21)
Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang. Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. Proceedings of the 30th ACM international Conference on Information and Knowledge Management. Queensland, Australia, Nov. 1-5. PP: 231-240.(ACM CIKM'21).
Yinan Liu, Wei Shen, Yuanfei Wang, Jianyong Wang, Zhenglu Yang, Xiaojie Yuan. Joint Open Knowledge Base Canonicalization and Linking. Proceedings of ACM SIGMOD International Conference on Management of Data 2021, Xi'an, Shaanxi, China, June 20 - June 25, 2021. PP: 2253-2261. (ACM SIGMOD'21)
Wei Zhang, Zeyuan Chen, Wen Wang, Hongyuan Zha, Jianyong Wang. Graph-Based Tri-Attention Network for Answer Ranking in CQA. Proc. the Thirty-Fifth AAAI Conference on Artificial Intelligence, Feb. 2-9, 2021. PP: 6331-6339. (AAAI'21).
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang. Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. Proc. the Thirty-Fourth AAAI Conference on Artificial Intelligence, Feb. 7-12, New York, USA. PP: 6331-6339. (AAAI'20).
Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang. Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. Proc. the 35th IEEE International Conference on Data Engineering. April 8-12, Macau SAR, China. PP: 1406-1417. (IEEE ICDE’19)
Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang. R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. Proc. 24th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 19-23 August, 2018, London, United Kingdom. PP: 1880-1889. (ACM SIGKDD'18).
Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang. Model-based Clustering of Short Text Streams. Proc. 24th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, 19-23 August, 2018, London, United Kingdom. PP: 2634-2642. (ACM SIGKDD'18).
Wei Shen, Yinan Liu, Jianyong Wang. Predicting Named Entity Location Using Twitter. Proc. the 34th IEEE International Conference on Data Engineering. April 16-19, 2018. Paris, France. PP: 161-172. (IEEE ICDE’18)
Chenwei Ran, Wei Shen, Jianyong Wang. An Attention Factor Graph Model for Tweet Entity Linking. Proc. the Web Conference 2018 (aka the 27th World Wide Web Conference), Lyon, France, April 23-27, 2018. PP: 1135-1144. (WWW'18)
Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang. Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. Proc. the Thirty-Second AAAI Conference on Artificial Intelligence, February 2–7, 2018, New Orleans, Lousiana, USA. PP: 7218-7225. (AAAI'18) .
Jianhua Yin, Jianyong Wang. A Text Clustering Algorithm Using an Online Clustering Scheme for Initialization. Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. PP: 1995-2004. (ACM SIGKDD'16).
Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang. Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. Proc. 25th Int. Conf. on Artificial Intelligence. New York, USA, July 9-July 15, 2016. PP: 2986-2992. (IJCAI'16)
Jianhua Yin, Jianyong Wang. A Model-based Approach for Text Clustering with Outlier Detection. Proc. the 32nd IEEE International Conference on Data Engineering, Helsinki, Finland, May 16-20, 2016. PP: 625-636 (IEEE ICDE'16)
Chenwei Ran, Wei Shen, Jianyong Wang, Xuan Zhu. Domain-specific knowledge base enrichment using Wikipedia tables. Proc. the IEEE International Conference on Data Mining, Atlantic City, NJ, USA, Nov. 14-17, 2015. PP: 349-358. (IEEE ICDM'15)
Wei Zhang, Jianyong Wang. A Location and Time Aware Social Collaborative Retrieval Approach for New Successive Point-of-Interest Recommendation. Proc. the 24th ACM International Conference on Information and Knowledge Management, Melbourne, Australia, October 19-23, 2015. PP: 1221-1230. (ACM CIKM'15)
Wei Zhang, Jianyong Wang. A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation. Proc. 21st ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Sydney, Australia, August 10-13, 2015. PP: 1455-1464. (ACM SIGKDD'15)
Wei Zhang, Jianyong Wang. Prior-based Dual Additive Latent Dirichlet Allocation for User-item Connected Documents. Proc. 24th Int. Conf. on Artificial Intelligence. Buenos Aires, Argrntina, July 25-July 31, 2015. PP: 1405-1411. (IJCAI'15)
Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu Aggarwal, Jianbin Huang. StreamCube: Hierarchical Spatio-temporal Hashtag Clustering for Event Exploration over the Twitter Stream. Proc. the 31st IEEE International Conference on Data Engineering, Seoul, Korea, April 13-17, 2015. PP: 1561-1572. (IEEE ICDE'15, Application Track)
Jianhua Yin, Jianyong Wang. A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering. Proc. the 2014 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, New York, USA, Aug. 24 - Aug. 27, 2014. PP: 233-242.(ACM SIGKDD'14)
Wei Shen, Jiawei Han, Jianyong Wang. A Probabilistic Model for Linking Named Entities in Web Text with Heterogeneous Information Networks. Proc. the 2014 ACM SIGMOD conference, Snowbird, Utah, USA, June 22-27, 2014. PP:1199-1210. (ACM SIGMOD'14)
Wei Feng, Jianyong Wang. We Can Learn Your #Hashtags: Connecting Tweets to Explicit Topics. Proc. the 30th IEEE International Conference on Data Enginerring, Chicago, IL, USA, March 31- April 4, 2014. PP:856-867. (IEEE ICDE'14)
Lili Jiang, Ping Luo, Jianyong Wang, Yuhong Xiong, Bingduan Lin, Min Wang, Ning An. GRIAS: an Entity-Relation Graph based Framework for Discovering Entity Aliases. Proc. the 2013 IEEE International Conference on Data Mining, Dallas, Texas, USA, December 7-10, 2013. PP:310-319. (IEEE ICDM'13)
Wei Zhang, Jianyong Wang, Wei Feng. Combining Latent factor Model with Location Features for Event-based Group Recommendation. Proc. the 19th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Chicago, USA, Aug. 11 - Aug. 14, 2013. PP:910-918. (ACM SIGKDD'13)
Wei Shen, Jianyong Wang, Ping Luo, Min Wang. Linking Named Entities in Tweets with Knowledge Base via User Interest Modeling. Proc. the 19th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Chicago, USA, Aug. 11 - Aug. 14, 2013. PP:68-76. (ACM SIGKDD'13)
Wei Zhang, Wei Feng, Jianyong Wang. Integrating Semantic Relatedness and Words’ Intrinsic Features for Keyword Extraction. Proc. 23rd Int. Conf. on Artificial Intelligence, Beijing, China, Aug. 3-9, 2013. PP:2225-2231. (IJCAI'13)
Wei Feng, Jianyong Wang. Retweet or not? Personalized Tweet Re-ranking. Proc. the Sixth ACM Int. Conf. on Web Search and Data Mining, Rome, Italy, Feb. 4 - Feb. 8, 2013. PP: 577-586. (ACM WSDM'13)
Wei Shen, Jianyong Wang, Ping Luo, Min Wang. A Graph-Based Approach for Ontology Population with Named Entities. Proc. the 21st ACM Conference on Information and Knowledge Management, Maui, Hawaii, Oct 29-Nov. 2, 2012. PP: 345-354.(ACM CIKM'12)
Wei Feng, Jianyong Wang. Incorporating Heterogeneous Information for Personalized Tag Recommendation in Social Tagging Systems. Proc. the 18th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Beijing, China, Aug. 12 - Aug. 16, 2012. PP: 1276-1284. (ACM SIGKDD'12)
Wei Shen, Jianyong Wang, Ping Luo, Min Wang. LIEGE: Link Entities in Web Lists with Knowledge Base. Proc. the 18th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Beijing, China, Aug. 12 - Aug. 16, 2012. PP: 1424-1432. (ACM SIGKDD'12)
Jun Zhang, Xiaoming Fan, Jianyong Wang, Lizhu Zhou. Keyword-Propagation-Based Information Enriching and Noise Removal for Web News Videos. Proc. the 18th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Beijing, China, Aug. 12 - Aug. 16, 2012. PP: 561-569. (ACM SIGKDD'12, Industry track)
Lili Jiang, Jianyong Wang, Ping Luo, Ning An, Min Wang. Towards Alias Detection Without String Similarity: an Active Learning based Approach. Proc. the 35th ACM SIGIR Conference on Research and Development in Information Retrieval, Portland, Oregon, USA, Aug. 12-16, 2012. PP: 1155-1156 (ACM SIGIR'12, poster paper)
Wei Shen, Jianyong Wang, Ping Luo, and Min Wang. LINDEN: Linking Named Entities with Knowledge Base via Semantic Knowledge. Proc. the 21st International World Wide Web Conference. April 16-20, 2012, Lyon, France. PP: 449-458. (WWW'12)
Chuancong Gao, Jianyong Wang, Qingyan Yang. Efficient Mining of Closed Sequential Patterns on Stream Sliding Window. Proc. the 2011 IEEE International Conference on Data Mining, Vancouver, Canada, PP: 1044-1049, December 11-14, 2011. (IEEE ICDM'11, short paper)
Xu Pu, Jianyong Wang, Ping Luo, Min Wang. AWETO: Efficient Incremental Update and Querying for RDF Storage System. Proc. the 20th ACM International Conference on Information and Knowledge Management, Glasgow, Scotland, UK, October 24-28, 2011. PP: 2445–2448. (ACM CIKM'11, poster paper)
Wei Shen, Jianyong Wang, Ping Luo, Min Wang, Conglei Yao. REACTOR: A Framework for Semantic Relation Extraction and Tagging over Enterprise Data. Proc. the 20th International World Wide Web Conference. March 28-April 1, 2011, Hyderabad, India. PP: 121-122.(WWW'11, poster paper)
Chun Li, Charu Aggarwal, Jianyong Wang. On Anonymization of Multi-graphs. Proc. the 11th SIAM Int. Conference on Data Mining. April 28-30, 2011. Phoenix, Arizona, USA. PP: 711-722.(SIAM SDM'11)
Wei Ping, Ye Xu, Jianyong Wang, Xian-Sheng Hua. FAMER: Making Multi-Instance Learning Better and Faster. Proc. the 11th SIAM Int. Conference on Data Mining. April 28-30, 2011. Phoenix, Arizona, USA. PP: 594-605.(SIAM SDM'11)
Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou. Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model. Proc. the 2010 IEEE International Conference on Data Mining, Sydney, Australia, December 14-17, 2010. PP: 1145-1150. (IEEE ICDM'10, short paper)
Chuancong Gao, Jianyong Wang. Direct Mining of Discriminative Patterns for Classifying Uncertain Data. Proc. the 16th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Washington DC, USA, July 25 - July 28, 2010. PP: 861-870. (ACM SIGKDD'10)
Lili Jiang, Jianyong Wang, Ning An, Shengyuan Wang, Jian Zhan, Lian Li. GRAPE: A Graph-Based Framework for Disambiguating People Appearances in Web Search. Proc. the 2009 IEEE International Conference on Data Mining, Miami, FL, USA, Dec. 6-9, 2009. PP: 199- 208. (IEEE ICDM'09)
Chuancong Gao, Jianyong Wang. Efficient Itemset Generator Discovery Over a Stream Sliding Window. Proc. 18th ACM Conf. on Information and Knowledge Management , Hong Kong, China, Nov. 2009. PP: 355-364. (ACM CIKM'09)
Zhiping Zeng, Anthony K.H. Tung, Jianyong Wang, Jianhua Feng, Lizhu Zhou. Comparing Stars: On Approximating Graph Edit Distance. Proc. the 35th Int. Conf. on Very Large Data Bases, Lyon, France, Aug. 24-28, 2009. PP: 25-36. (VLDB'09).
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou. Parallel Community Detection on Large Networks with Propinquity Dynamics. Proc. the 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. PP:997-1005. (ACM SIGKDD'09)
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. Frequent Pattern Mining with Uncertain Data. Proc. the 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009. PP: 29-37. (ACM SIGKDD'09)
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou. FOGGER: An Algorithm for Graph Generator Discovery. Proc. 12th International Conference on Extending Database Technology, Saint-Petersburg, Russia, Mar. 2009. PP: 517-528. (EDBT'09)
Guoliang Li, Beng Chin Ooi, Jianhua Feng, Jianyong Wang, Lizhu Zhou. EASE: An Effective 3-in-1 Keyword Search Method for Unstructured, Semi-structured and Structured Data. Proc. 2008 ACM SIGMOD International Conference on Management of Data, Vancouver, Canada, June 2008. PP: 903-915. (ACM SIGMOD'08)
Chuancong Gao, Jianyong Wang, Yukai He, Lizhu Zhou. Efficient Mining of Frequent Sequence Generators. Proc. 17th Int. World Wide Web Conference (Posters track), Beijing, China, April 2008, PP: 1051-1052. (WWW'08, poster paper, Best Poster Award)
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Zhou. Parallel Mining of Closed Quasi-Cliques. Proc. 22nd IEEE International Parallel and Distributed Processing Symposium , Miami, Florida USA, April 2008 (Session 16: Algorithms - Theory, Article No. 2). (IEEE IPDPS'08)
Guoliang Li, Jianhua Feng, Jianyong Wang, Lizhu Zhou. Efficient Keyword Search for Valuable LCAs over XML Documents. Proc. of ACM Sixteenth Int. Conf. on Information and Knowledge Management, Lisboa, Portugal, November 2007, PP: 31-40. (ACM CIKM'07)
Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng and Mohammed J. Zaki. XProj: A Framework for Projected Structural Clustering of XML Documents. Proc. 13th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining. San Jose, CA, USA. Aug. 12-15, 2007, PP: 46-55. (ACM SIGKDD'07)
Book Chapter/Entry
Jianyong Wang. Sequential patterns. Encyclopedia of Database Systems. LING LIU and M. TAMER ÖZSU (Eds.). 2009. PP: 2621-2626. (EDS, Springer US, DOI:10.1007/978-0-387-39940-9_343, ISBN: 978-0-387-35544-3 (Print) 978-0-387-39940-9 (Online))
Demo Papers
Chuancong Gao, Qingyan Yang, Jianyong Wang. SEQUEL: Query Completion via Pattern Mining on Multi-Column Structural Data. Proc. the 19th ACM International Conference on Information and Knowledge Management, Toronto, Canada, October 26-30, 2010. PP: 1955-1956. (ACM CIKM'10, demo paper)
Lili Jiang, Wei Shen, Jianyong Wang, Ning An. GRAPE: A System for Disambiguating and Tagging People Names in Web Search. Proc. 19th International World Wide Web Conference, Raleigh, NC, USA, April 26-30, 2010. PP: 1257-1260 (WWW'10, demo paper)
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