yinghui wu Yinghui Wu

Theodore L. and Dana J. Schroeder
Associate Professor
Department of Computer
& Data Sciences


Case School of Engineering
Case Western Reserve University


Olin 515
2101 Martin Luther King Jr Dr,
Cleveland, OH 44106

Office: 216.368.8829
Email:  yxw1650_at_case_dot_edu
Homepage: https://yinghwu.github.io/


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2024
  1. View-based Explanations for Graph Neural Networks
    ACM SIGMOD Conference on Management of Data (SIGMOD)
    Tingyang Ghen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
  2. Generating Robust Counterfactual Witnesses for Graph Neural Networks
    Int.Conf.on Data Engineering (ICDE)
    Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
  3. GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models
    Int.Conf.on Data Engineering (ICDE)
    Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu

2023
  1. Accelerating Time to Science using CRADLE: A Framework for Materials Data Science
    The 30th IEEE Int. Conf. on High Performance Computing, Data, and Analytics (HiPC) (Best Paper Nominee)
    Arafath Nihar, Thomas Ciardi, Rounak Chawla, Olatunde Akanbi, Yinghui Wu, Vipin Chaudhary, Roger French
  2. Selecting Top-K Data Science Models by Example Dataset
    The 32st ACM International Conference on Information and Knowledge Management (CIKM)
    Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
  3. Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts
    ACM SIGMOD Conference on Management of Data (SIGMOD)
    Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
  4. Fair Group Summarization with Graph Patterns
    Int.Conf.on Data Engineering (ICDE)
    Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu
  5. Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation
    ACM SIGMOD Conference on Management of Data (SIGMOD)
    Yangxin Fan, Xuanji Yu, Raymond Wieser, David Meakin, Avishai Shaton, Jean-Nicolas Jaubert, Robert Flottemesch, Michael Howell, Jennifer Braid, Laura Bruckman, Roger French, Yinghui Wu
  6. GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
    Int.Conf.on Data Engineering (ICDE)
    Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu
  7. Inconsistency Detection with Temporal Graph Functional Dependencies
    Int.Conf.on Data Engineering (ICDE)
    Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu
  8. Event Analysis in Transmission Systems Using Spatial Temporal Graph Encoder Decoder (STGED)
    IEEE Transactions on Power Systems
    Arman Ahmed, Sajan K.Sadanandan, Shikhar Pandey, Sagnik Basumallik, Anurag Srivastava, Yinghui Wu
  9. Spatio-Temporal Deep Graph Network for Event Detection, Localization and Classification in Cyber-Physical Electric Distribution System
    IEEE Transactions on Industrial Informatics
    Arman Ahmed, Sagnik Basumallik, Amir Gholami, Sajan K.Sadanandan, Mohammad Namaki, Anurag Srivastava, Yinghui Wu
  10. Federated Synchrophasor Data Prediction, Aggregation and Inference Using Deep Learning: A Case of Proactive Control for Short-term Stability
    IEEE Transactions on Power Delivery
    Arman Ahmed, Sagnik Basumallik, Anurag Srivastava, Yinghui Wu, Sutanay Choudhury

2022
  1. CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
    The 31st ACM International Conference on Information and Knowledge Management (CIKM)
    Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu
  2. System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems
    The 31st ACM International Conference on Information and Knowledge Management (CIKM)
    Liangyi Huang, Sophia R.Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger French, Xusheng Xiao
  3. RoboGNN: Robustifying Node Classification under Link Perturbation
    The 31st International Joint Conference on Artificial Intelligence (IJCAI)
    Sheng Guan, Hanchao Ma, Yinghui Wu
  4. Subgraph Query Generation with Fairness and Diversity Constraints
    Int. Conf. on Data Engineering (ICDE)
    Hanchao Ma, Sheng Guan, Mengying Wang, Yen-shuo Chang, Yinghui Wu
  5. Diversified Subgraph Query Generation with Group Fairness
    The 15th International Conference on Web Search and Data Mining (WSDM)
    Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu
  6. FAIRification, Quality Assessment, and Missingness Pattern Discovery for Spatiotemporal Photovoltaic Data
    The 49th IEEE Photovoltaic Specialists Conference (PVSC)
    William Oltjen, Yangxin Fan, Jiqi Liu, Liangyi Huang, Mingjie Li, Hubert Seigneur, Xusheng Xiao, Kristopher Davis, Laura Bruckman, Yinghui Wu, Roger French.
  7. Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications
    World Wide Web Journal
    Jianxin Li, Chengfei Liu, Ziyu Guan, Yinghui Wu
  8. Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction, IEEE Access.
    Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
  9. Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems (D-KGNN), Learning on Graphs Conference.
    Sayak Mukherjee, Sai Pushpack Nadanoori, Sheng Guan, Khushubu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L Vrabie, Sutanay Choudhury

2021
  1. GEDet: Detecting Erroneous Nodes with A Few Examples
    The 47rd International Conference on Very Large Data Bases (VLDB), demo track, 2021
    Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
  2. GRIP: Constraint-based Explanation of Missing Entities in Graph Search
    ACM SIGMOD Conference on Management of Data (SIGMOD), demo track [Video]
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
  3. Explaining Missing Data in Graphs: A Constraint-based Approach
    Int.Conf.on Data Engineering (ICDE)
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
  4. Anomaly Detection, Localization and Classification using Drifting Snchrophasor Data Streams
    IEEE Transactions on Smart Grid
    Arman Ahmed, Sajan Kaduvettykun, Anurag Srivastava, Yinghui Wu
  5. Spatialtemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems
    The 33rd Annual Conference on Innovative Applications of Artificial Intelligence (AAAI-IAAI)
    Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyuturk, Roger French

2020

  1. GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs
    IEEE International Conference on Big Data (IEEE BigData) (Best Paper Award)
    Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu
  2. Answering Why-Quetions for Subgraph Queries
    IEEE Transactions on Knowledge and Data Engineering (TKDE)
    Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
  3. A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs
    IEEE Transactions on Knowledge and Data Engineering (TKDE).
    Xuanmin Liu, Tingjian Ge, Yinghui Wu
  4. Vamsa:Automated Provenance Tracking in Data Science Scripts
    The 26th Int. Conf. on Knowledge Discovery and Data Mining(KDD)
    Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
  5. Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams
    Int.Conf.on Data Engineering (ICDE)
    Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag Srivastava, Anton Kocheturov.
  6. Repairing Entities using Star Constraints in Multirelational Graphs.
    Int.Conf.on Data Engineering (ICDE)
    Peng Lin, Qi Song, Yinghui Wu, Jiiaxing Pi.
2019
  1. Ontology-based Entity Matching in Attributed Graphs.
    The 45rd International Conference on Very Large Data Bases (VLDB), 2019
    Hanchao Ma, Morteza Alipour Langouri, Yinghui Wu, Fei Chiang, Jiaxing Pi
  2. Attribute-Driven Backbone Discovery.
    The 25th Int. Conf. on Knowledge Discovery and Data Mining(KDD),2019
    Sheng Guan, Hanchao Ma, Yinghui Wu, Jiaxing Pi
  3. NAVIGATE: Explainable Visual Graph Exploration by Examples.
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2019
    Mohammad Hossein Namaki, Qi Song, Yinghui Wu
  4. Answering Why-questions by Exemplars in Attributed Graphs.
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2019
    Mohammad Hossein Namaki, Qi Song, Yinghui Wu, Shengqi Yang
  5. Answering Why-Questions for Subgraph Queries in Multi-Attributed Graphs. 
    Int.Conf.on Data Engineering (ICDE).
    Qi Song, Mohammad Hossein Namaki, Yinghui Wu
  6. Finding Densest Lasting Subgraphs in Dynamic Graphs: a Stochastic Approach
    Int.Conf.on Data Engineering (ICDE). (Selected as one of the Best Papers of ICDE '19
     
    to IEEE TKDE special issue)

    XUanming Liu, Tingjian Ge, Yinghui Wu
  7. Cyber physical security analytics for anomalies in transmission protection systems
    IEEE Transactions on Industry Applications. Arman Ahmed, VVG Krishnan, SA Foroutan,
    M Touhiduzzaman, CL Rublein, Anurag Srivastava, Yinghui Wu, A.Hahn, S.Suresh
  8. Discovering Patterns for Fact Checking in Knowledge Graphs
    ACM Journal of Data and Information Quality (JDIQ)
    Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi
  9. Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns
    Data Science & Engineering (DSE) (invited)
    Peng Lin, Qi Song, Yinghui Wu
2018
  1. TGNet: Learning to Rank Nodes in Temporal Graphs
    The 27th ACM International Conference on Information and Knowledge Management (CIKM)
    Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang and Haifeng Chen
  2. GExp: Cost-aware Graph Exploration with Keywords. >|code 
    ACM SIGMOD Conference on Management of Data (SIGMOD).
    Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
  3. Ensemble Based Algorithm For Syncrophasor Data Anomaly Detection. 
    IEEE Transactions on Smart Grid
    Mengze Zhou, Yuhui Wang, Anurag K Srivastava, Yinghui Wu, Paramarshi Banerjee
  4. Discovering Graph Patterns for Fact Checking in Knowledge Graphs|code
    23rd International Conf. on Database Systems for Advanced Applications (DASFAA)
    Peng Lin, Qi Song, Jialiang Shen, Yinghui Wu
  5. Multi-metric Graph Query Performance Prediction
    23rd International Conf. on Database Systems for Advanced Applications (DASFAA)
    Keyvan Sasani, Mohammad Hossein Namaki, Yinghui Wu, Assefaw Gebremedhin
  6. Diversified Keyword Expansion on Multi-labeled Graphs.
    Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
    APWeb-WAIM Joint Conference on Web and Big Data (APWeb-WAIM)
  7. Mining Summaries for Knowledge Graph Search
    IEEE Transactions on Knowledge and Data Engineering (TKDE)
    Qi Song, Yinghui Wu, Peng Lin, Xin (Luna) Dong, Hui Sun. 
  8. Percolator: Scalable Pattern Discovery in Dynamic Graphs
    ACM International Conference on Web Search and Data Mining (WSDM)
    Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence Holder, Khushbu Agarwal
  9. From Think Parallel to Think Sequential
    SIGMOD Record(ACM SIGMOD Research Highlight Award)
    Wenfei Fan, Yang Cao, Jingbo Xu, Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, Bohan Zhang
  10. Cyber Physical Security Analytics for Anomalies in Transmission Protection Systems
    IEEE Industry Applications Society Annual Meeting (IAS)
    A. Ahmed, V.G. Krishnn, S. Foroutan, M. Touhiduzzaman, A. Srivastava, Y. Wu, A. Hahn and S. Sindhu
  11. Cyber Physical Security Analytics for Transactive Energy Systems Using Ensemble Machine Learning
    North American Power Symposium (NAPS)
    Arman Arman, V. G. A., Krishnan, Anurag Srivastava, Yinghui Wu, Suresh Sindhu
  12. Graph Pattern Matching. Encyclopedia of Big Data Technologies, Springer
    Yinghui Wu, Arijit Khan
  13. Graph Exploration and Search. Encyclopedia of Big Data Technologies, Springer
    Davide Mottin, Yinghui Wu
2017
  1. Event Pattern Discovery by Keywords in Graph Streams
    IEEE International Conference on Big Data (IEEE BigData), 2017
    Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
  2. Event Pattern Discovery by Keywords in Graph Streams
    IEEE International Conference on Big Data (IEEE BigData), 2017
    Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
  3. Parallel Graph Summarization for Knowledge Search. 
    Workshop on Mining and Learning with Graphs (MLG) at KDD 2017
    Qi Song, Mohammad Hossein Namaki, Peng Lin and Yinghui Wu  
  4. Performance Prediction for Graph Queries.  
    Network Data Analytics (NDA) Workshop (co-located with SIGMOD), 2017
    Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Assefaw Gebremedhin.
  5. Learning to Speed Up Query Planning in Graph Databases. 
    27th International Conference on Automated Planning and Scheduling (ICAPS), 2017
    Mohammad Hossein Namaki*, F A Rezaur Rahman Chuwdhury*, Md Rakibul Islam,
    Janardhan Rao Doppa, and Yinghui Wu (*equal contiribution)
  6. BEAMS: Bounded Event Detection over Graph Streams. |Source code|Video
    Int.Conf.on Data Engineering (ICDE), demo, 2017. 
    Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge.
  7. Parallelizing Sequential Graph Computations.
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2017. (Best Paper Award)
    Wenfei Fan, Jingbo Xu, Yinghui Wu*, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian
  8. GRAPE: Parallelizing Sequential Graph Computations.
    The 43rd International Conference on Very Large Data Bases (VLDB), demo, 2017. (Best Demo Award)
    Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang. 
  9. GRAPE: Conducting Parallel Graph Computations without Developing Parallel Algorithms.
    IEEE Data Eng. Bull 40(3): 30-41 2017.
    Wenfei Fan, Jingbo Xu, Xiaojian Luo, Yinghui Wu, Wenyuan Yu, and Ruiqi Xu
2016
  1. Mining Summaries for Knowledge Graph Search. | Source code
    IEEE International Conference on Data Mining (ICDM), 2016.
    Qi Song, Yinghui Wu*, Luna Xin Dong
  2. Functional Dependencies for Graphs.
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
    Wenfei Fan, Yinghui Wu*, Jingbo Xu
  3. Fast Top-K Search in Knowledge Graphs.
    Int.Conf.on Data Engineering (ICDE), 2016.
    Shengqi Yang, Fangqiu Han, Yinghui Wu, Xifeng Yan.
  4. Adding Counting Quantifiers to Graph Patterns
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
    Wenfei Fan, Yinghui Wu*, Jingbo Xu
  5. Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. ACM SIGKDD Explorations Newsletter 18.1: 39-45.  Lawence B.Holder, Rajmonda Caceres, David F.Gleich, Jason Riedy, Maleq Khan, Nitesh V.Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, Aditya Prakash. 2016
2015
  1. Association Rules with Graph Patterns.
    The 41th International Conference on Very Large Data Bases (VLDB), 2015.
    Wenfei Fan, Xin Wang, Yinghui Wu*, Jingbo Xu
  2. Answering Pattern Queries Using Views.
    IEEE Transactions on Knowledge and Data Engineering (TKDE), Wenfei Fan, Xin Wang, Yinghui Wu*. 
  3. Towards networks of search engines and other digital experts: a distributed intelligence approach. 8th International Conference on u-and-e-Service, Science and Technology (UNESST), IEEE. Predrag T. Tosic, Yinghui Wu. 2015
2014
  1. Distributed Graph Simulation: Impossibility and Possibility. Slides:[ppt]
    The 40th International Conference on Very Large Data Bases (VLDB), 2014.
    Wenfei Fan, Xin Wang, Yinghui Wu*, Deng Dong
  2. Towards Scalable Critical Alert Mining. Slides:[ppt]
    The 20th Int. Conf. on Knowledge Discovery and Data Mining (KDD), 2014.
    Bo Zong, Yinghui Wu, Jie Song, Ambuj Singh, Hasan Cam, Jiawei Han, Xifeng Yan
  3. Summarizing Answer Graphs Induced by Keyword Queries.  Slides:[ppt]
    Proc. of the 40th Int. Conf. on Very Large Databases (VLDB), 2014.  
    Yinghui Wu*, Shengqi Yang, Mudhakar Srivatsa, Arun Iyengar, Xifeng Yan.
  4. Querying Big Graphs within Bounded Resources. Slides:[pptx] | Poster:[pdf]
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2014.
    Wenfei Fan, Xin Wang, Yinghui Wu*
  5. Schemaless and Structureless Graph Querying.
    Proc. of the 40th Int. Conf. on Very Large Databases (VLDB), 2014.  
    Shengqi Yang, Yinghui Wu, Huan Sun, Xifeng Yan.
  6. Answering Graph Pattern Queries Using Views. (Best Paper Runner-up) Slides:[ppt
    Int.Conf.on Data Engineering (ICDE),2014.  (Best Paper Runner-up)
    Wenfei Fan, Xin Wang, Yinghui Wu*.
  7. Diversified Top-K Graph Pattern Matching. Slides:[ppt]
    Proc. of the 40th Int. Conf. on Very Large Databases (VLDB), 2014.
    Wenfei Fan, Xin Wang, Yinghui Wu*.
  8. SLQ: A User-friendly Graph Querying System. Poster[pdf]
    ACM SIGMOD Conference on Management of Data (SIGMOD) (Demo), 2014. 
    Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyu Wu, Huan Sun, Jian Wu, Xifeng Yan.
2013
  1. Ontology-based Subgraph Querying.
    Project link | Poster:[pdf] (Best Poster Award)| Slides:[ppt] | Source code
    Int. Conf. on Data Engineering (ICDE), 2013.  
    Yinghui Wu*, Shengqi Yang, Xifeng Yan.
  2. ExpFinder: Finding Experts by Graph Pattern Matching.
    Int. Conf. on Data Engineering (ICDE), 2013.
    Wenfei Fan, Xin Wang, Yinghui Wu*.
  3. NeMa: Fast Graph Search with Label Similarity. Slides:[ppt]
    Proc. of the 39th Int. Conf. on Very Large Databases (VLDB), 2013.
    Arijit Khan, Yinghui Wu, Charu Aggarwal, Xifeng Yan.
  4. Incremental Graph Pattern Matching. ACM Transactions on Database Systems (TODS)
    Wenfei Fan, Xin Wang, Yinghui Wu*. 2013
2012
 

  1. Performance Guarantees for Distributed Reachability Queries. Slides:[ppt]
    Proc. of the 38th Int. Conf. on Very Large Databases (VLDB), 2012. 
    Wenfei Fan, Xin Wang, Yinghui Wu*.
  2. Inferring the Underlying Structure of Information Cascades. Slides:[ppt]
    Int. Conf. on Data Mining (ICDM), 2012.
    Bo Zong, Yinghui Wu, Ambuj Singh, Xifeng Yan.
  3. Querying Preserving Graph Compression. Slides: [ppt]|Poster:[pdf]
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2012.
    Wenfei Fan, Jianzhong Li, Xin Wang, Yinghui Wu*.
  4. Emerging Graph Queries in Linked Data. Slides: [ppt]
    Seminar of Int. Conf. on Data Engineering (ICDE), 2012.
    Arijit Khan, Yinghui Wu, Xifeng Yan.
  5. Adding regular expressions to graph reachability and pattern queries.
    Frontiers of Computer Science (FCS) (invited). Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu*.
2011
  1. Incremental Graph Pattern Matching. Slides: [ppt]
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2011.
    Wenfei Fan, Jianzhong Li, Jizhou Luo, Zijing Tan, Xin Wang, Yinghui Wu*.
  2. Adding Regular Expressions to Graph Reachability and Pattern Queries.
    Slides: [ppt]| Teaser:[pdf]| Poster[pdf]
    Int. Conf. on Data Engineering (ICDE), 2011.
    Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu*.
2010
  1. Graph Pattern Matching: From Intractable to Polynomial Time. Slides:[ppt]
    Proc. of the 36th Int. Conf. on Very Large Databases (VLDB), 2010.
    Wenfei Fan, Jianzhong Li, Shuai Ma, Nan Tang, Yinghui Wu, Yunpeng Wu*.
  2. Graph Homomorphism Revisited for Graph Matching. Slides: [ppt]
    Very Large Data Bases (Journal Track), 2010.
    Wenfei Fan, Jianzhong Li, Shuai Ma, Hongzhi Wang, Yinghui Wu*.
  3. On the Aggregation Problem for Synthesized Web Services.
    The 13th International conference on Database Theory (ICDT), 2010.
    Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu*.
  4. On the Aggregation problem for Synthesized Web Services.
    Journal of Computer and System Science (JCSS) (invited).
    Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu*.
2008
  1. Propagating Functional Dependencies with Conditions.
    Proc. of the 34th Int. Conf. on Very Large Databases (VLDB), 2008.
    Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui Wu*.