|
§
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. Implementation by Chuancong
Gao can be found at https://github.com/chuanconggao/PrefixSpan-py, Implementation by Cheng-Yuan Yu can be
found at https://github.com/RonaldYu/bide-algorithm, the PDF can be found at https://ieeexplore.ieee.org/abstract/document/1319986
)
§ 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, Implementation by Huawei Noah’s Ark Lab can be found at https://github.com/huawei-noah/streamDM/blob/master/website/docs/CluStream.md, the PDF can be found at http://hanj.cs.illinois.edu/pdf/vldb03_clstm.pdf )
§ 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. (One of the most cited papers
in KDD 2014, 获得KDD China 2024 Test of
Time Award. 论文提出了短文本聚类算法GSDMM, 一作为博士生尹建华. Python Implementation
by Ryan Walker is available at https://github.com/rwalk/gsdmm,
Implementation by Jianhua is available at https://github.com/jackyin12/GSDMM, the PDF can be found at https://dbgroup.cs.tsinghua.edu.cn/wangjy/papers/KDD14-GSDMM.pdf
)
§ 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)
§ Zhuo Wang, Wei Zhang, Ning Liu, Jianyong
Wang.
Learning Interpretable Rules for Scalable Data
Representation and Classification. IEEE
TPAMI 2024（论文提出了增强版的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，Source
code is available at: https://github.com/12wang3/rrl , the PDF can be found at https://arxiv.org/abs/2310.14336 ，Digital Object Identifier 10.1109/TPAMI.2023.3328881）
§
Yutao Sun, Li
Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang,
Jianyong Wang, Furu Wei. You Only Cache Once: Decoder-Decoder
Architectures for Language Models. NeurIPS 2024. (Oral, acceptance rate 0.46%, 论文提出了一种KV缓存跨层共享的新型架构YOCO，与传统的Decoder-only Transformer相比，在推理内存、预填充延迟、吞吐量和上下文可伸缩性方面有显著的性能提升, 一作为博士生孙宇涛)
§ Selected
Recent Publications(2007 onwards)
arXiv Papers
§ Zhenyu
Li, Yike Zhang, Tengyu Pan, Yutao Sun, Zhichao
Duan, Junjie Fang, Rong Han, Zixuan Wang, Jianyong Wang. FocusLLM: Scaling LLM’s Context by Parallel Decoding.
arXiv:2408.11745， Aug. 21,2024.
§
Yutao Sun, Li
Dong, Shaohan Huang, Shuming
Ma, Yuqing Xia, Jilong Xue, Jianyong Wang, Furu Wei. Retentive network: A successor
to transformer for large language models. arXiv:2307.08621. June 2, 2023. July 17,
2023.
§ Zhuo Wang, Rongzhen
Li, Bowen Dong, Jie Wang, Xiuxing LI, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong
Wang. Can LLMs like GPT-4 outperform
traditional AI tools in dementia diagnosis? Maybe, but not today. arXiv:2306.01499, June 2, 2023.
Journal
Papers
§
Zhenyu Li, Xiuxing Li, Sunqi Fan, Jianyong
Wang. Optimization Techniques for Unsupervised
Complex Table Reasoning via Self-Training Framework. Accepted to
appear in IEEE
Transactions on Knowledge and Data Engineering. (IEEE TDKE)
§ Zhuo Wang, Wei Zhang, Ning Liu, Jianyong
Wang.
Learning Interpretable Rules for Scalable Data
Representation and Classification. IEEE
Transactions on Pattern Analysis and Machine
Intelligence, VOL. 46, NO. 2, February 1 2024. PP: 1121-1133 (IEEE
TPAMI)
§
Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei
Zhang. Knowledge-aware Collaborative Filtering
with Pre-trained Language Model for Personalized Review-based Rating
Prediction. IEEE Transactions on Knowledge and Data
Engineering, Volume 36, Issue 3, March 2024. PP: 1170-1182.
(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, Volume 13, Number 12595, August 3, 2023, DOI: 10.1038/s41598-023-39543-2. PP:
1-15 (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)
§ Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang. Fine-Grained
Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing.
ACM
Transactions on Information Systems, Volume 41, Number 4, October 2023.
Article 104, PP: 1-26 (ACM TOIS)
§ 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
§ Yutao Sun, Li Dong, Yi Zhu, Shaohan
Huang, Wenhui Wang, Shuming Ma, Quanlu
Zhang, Jianyong Wang, Furu Wei. You Only Cache Once: Decoder-Decoder
Architectures for Language Models. Accepted to appear in Proceedings of the Thirty-eighth Annual Conference on Neural Information
Processing Systems, Vancouver, Canada, Dec. 9-15, 2024. PP: ***-*** (NeurIPS 2024, Oral, acceptance
rate 0.46%, 72
/15671)
§ Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang.
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding
Evolution. Accepted to appear in
Proceedings of the
Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver,
Canada, Dec. 9-15, 2024. PP: ***-*** (NeurIPS
2024)
§ Minjia Wang, Fangzhou
Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang. Bio-RFX: Refining Biomedical
Extraction via Advanced Relation Classification and Structural Constraints.
Accepted to appear in Proceedings of the 2024 Conference on Empirical Methods
in Natural Language Processing, Miami, Florida, USA, Nov. 12-16, 2024. PP: ***-*** (EMNLP 2024)
§ Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang. Interpretable Knowledge Tracing via
Response Influence-based Counterfactual Reasoning. Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht,
Netherlands, May 13-16, 2024.
PP: 1103-1116 (IEEE ICDE’24).
§ Zhenyu Li, Sunqi Fan, Yu Gu, Xiuxing Li, Zhhichao Duan,
Bowen Dong, Ning Liu, Jianyong Wang. FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge
Base Question Answering. Proc. the Thirty-Eighth
AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 20-27,
2024. PP: 18608-18616. (AAAI'24,
Source code is available at: https://github.com/leezythu/FlexKBQA,
the PDF can be found at https://arxiv.org/abs/2308.12060). (Oral presentation, acceptance rate 2.2%)
§ Wei Zhang, Yongxiang
Liu, Zhuo Wang, Jianyong Wang. Learning to Binarize Continuous Features for Neuro-Rule
Networks.
Proceedings of the 32nd International Joint Conference on Artificial
Intelligence,
Macao, S.A.R, China, Aug. 19-25, 2023. PP: 4584-4592 (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: 1691-1704 (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
on 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). (Oral presentation, acceptance rate
6%)
§ 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, KDD China 2024 Test of Time Award)
§ 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 Engineering, 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
§ Xu
Pu, Jianyong Wang, Xiaoming Fan. GHOST: An Author Name Disambiguation System.
Journal of Computer Research and Development, Vol. 47 (Suppl. I), Oct. 2010.
PP: 512-515. (NDBC 2010 Best System
Demo Award)
§ 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)
|