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/

Home | Teaching | Research | Services | Students | Publications | Talks | Bio

Full publication list [DBLP] [Google Scholar]

Selected: View by [Year]  [Type] 

Conference (selected)
  1. User-friendly, Interactive, and Configurable Explanations for Graph Neural Networks with Graph Views
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2024 (demo track)
    Tingyang Ghen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
  2. View-based Explanations for Graph Neural Networks
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2024
    Tingyang Ghen, Dazhuo Qiu, Yinghui Wu, Arijit Khan, Xiangyu Ke, Yunjun Gao
  3. Generating Robust Counterfactual Witnesses for Graph Neural Networks
    Int.Conf.on Data Engineering (ICDE), 2024
    Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui Wu
  4. GraphLingo: Domain Knowledge Exploration by Synchronizing Knowledge Graphs and Large Language Models
    Int.Conf.on Data Engineering (ICDE), 2024 (demo track)
    Duy Le, Kris Zhao, Mengying Wang, Yinghui Wu
  5. View-based Explanations for Graph Neural Networks (extended abstract)
    The 3rd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores: Graph Edition (SEA Graph) (invited), Co-located w. ICDE 2024
  6. 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), 2023 (Best Paper Nominee)
    Arafath Nihar, Thomas Ciardi, Rounak Chawla, Olatunde Akanbi, Yinghui Wu, Vipin Chaudhary, Roger French
  7. Selecting Top-K Data Science Models by Example Dataset
    The 32st ACM International Conference on Information and Knowledge Management (CIKM), 2023
    Mengying Wang, Sheng Guan, Hanchao Ma, Yiyang Bian, Haolai Che, Abhishek Daundkar, Alp Sehirlioglu, Yinghui Wu
  8. Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2023
    Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
  9. Fair Group Summarization with Graph Patterns
    Int.Conf.on Data Engineering (ICDE), 2023
    Hanchao Ma, Sheng Guan, Mengying Wang, Qi Song, Yinghui Wu
  10. Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2023
    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
  11. GALE: Active Adversarial Learning for Erroneous Node Detection in Graphs
    Int.Conf.on Data Engineering (ICDE), 2023
    Sheng Guan, Hanchao Ma, Mengying Wang, Yinghui Wu
  12. Inconsistency Detection with Temporal Graph Functional Dependencies
    Int.Conf.on Data Engineering (ICDE), 2023
    Morteza Alipour Langouri, Adam Mansfield, Fei Chiang, Yinghui Wu
  13. CRUX: Crowdsourced Materials Science Resource and Workflow Exploration
    The 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022
    Mengying Wang, Hanchao Ma, Abhishek Daundkar, Sheng Guan, Yiyang Bian, Alp Sehirlioglu, Yinghui Wu
  14. System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems
    The 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022
    Liangyi Huang, Sophia R.Hall, Fei Shao, Arafath Nihar, Vipin Chaudhary, Yinghui Wu, Roger French, Xusheng Xiao
  15. RoboGNN: Robustifying Node Classification under Link Perturbation
    The 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022
    Sheng Guan, Hanchao Ma, Yinghui Wu
  16. Subgraph Query Generation with Fairness and Diversity Constraints
    Int. Conf. on Data Engineering (ICDE), 2022
    Hanchao Ma, Sheng Guan, Mengying Wang, Yen-shuo Chang, Yinghui Wu
  17. Diversified Subgraph Query Generation with Group Fairness
    The 15th International Conference on Web Search and Data Mining (WSDM), 2022
    Hanchao Ma, Sheng Guan, Christopher Toomey, Yinghui Wu
  18. FAIRification, Quality Assessment, and Missingness Pattern Discovery for Spatiotemporal Photovoltaic Data
    The 49th IEEE Photovoltaic Specialists Conference (PVSC), 2022
    William Oltjen, Yangxin Fan, Jiqi Liu, Liangyi Huang, Mingjie Li, Hubert Seigneur, Xusheng Xiao, Kristopher Davis, Laura Bruckman, Yinghui Wu, Roger French.
  19. Learning Distributed Geometric Koopman Operator for Sparse Networked Dyna
  20. mical Systems, Learning on Graphs Conference (LoG). 2022
    Sayak Mukherjee, Sai Pushpack Nadanoori, Sheng Guan, Khushubu Agarwal, Subhrajit Sinha, Soumya Kundu, Seemita Pal, Yinghui Wu, Draguna L Vrabie, Sutanay Choudhury
  21. GEDet: Detecting Erroneous Nodes with A Few Examples
    The 47rd International Conference on Very Large Data Bases (VLDB) 2021
    Sheng Guan, Hanchao Ma, Sutanay Choudhury, Yinghui Wu
  22. GRIP: Constraint-based Explanation of Missing Entities in Graph Search
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2021 [Video]
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
  23. Explaining Missing Data in Graphs: A Constraint-based Approach
    Int.Conf.on Data Engineering (ICDE), 2021
    Qi Song, Peng Lin, Hanchao Ma, Yinghui Wu
  24. Spatialtemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems
    The 33rd Annual Conference on Innovative Applications of Artificial Intelligence (AAAI-IAAI), 2021
    Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyuturk, Roger French
  25. GEDet: Adversarially Learned Few-shot Detection of Erroneous Nodes in Graphs
    IEEE International Conference on Big Data (IEEE BigData), 2020 (Best Paper Award)
    Sheng Guan, Peng Lin, Hanchao Ma, Yinghui Wu
  26. Vamsa:Automated Provenance Tracking in Data Science Scripts
    The 26th Int. Conf. on Knowledge Discovery and Data Mining(KDD),2020
    Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
  27. Kronos: Lightweight Knowledge-based Event Analysis in Cyber-Physical Data Streams
    Int.Conf.on Data Engineering (ICDE), 2020. Mohammad Hossein Namaki, Xin Zhang, Sukhjinder Singh, Arman Ahmed, Armina Foroutan, Yinghui Wu, Anurag Srivastava, Anton Kocheturov.
  28. Repairing Entities using Star Constraints in Multirelational Graphs.
    Int.Conf.on Data Engineering (ICDE), 2020.
    Peng Lin, Qi Song, Yinghui Wu, Jiiaxing Pi.
  29. 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
  30. Attribute-Driven Backbone Discovery.
    The 25th Int. Conf. on Knowledge Discovery and Data Mining(KDD),2019
    Sheng Guan, Hanchao Ma, Yinghui Wu, Jiaxing Pi
  31. NAVIGATE: Explainable Visual Graph Exploration by Examples.
    ACM SIGMOD Conference on Management of Data (SIGMOD), demo, 2019
    Mohammad Hossein Namaki, Qi Song, Yinghui Wu
  32. 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
  33. Answering Why-Questions for Subgraph Queries in Multi-Attributed Graphs. 
    Int.Conf.on Data Engineering (ICDE), 2019.
    Qi Song, Mohammad Hossein Namaki, Yinghui Wu
  34. Finding Densest Lasting Subgraphs in Dynamic Graphs: a Stochastic Approach
    Int.Conf.on Data Engineering (ICDE), 2019.
    XUanming Liu, Tingjian Ge, Yinghui Wu
  35. TGNet: Learning to Rank Nodes in Temporal Graphs
    The 27th ACM International Conference on Information and Knowledge Management (CIKM), 2018
    Qi Song, Bo Zong, Yinghui Wu, Lu-An Tang, Hui Zhang, Guofei Jiang and Haifeng Chen
  36. Discovering Graph Patterns for Fact Checking in Knowledge Graphs|code
    23rd International Conf. on Database Systems for Advanced Applications (DASFAA), 2018
    Peng Lin, Qi Song, Jialiang Shen, Yinghui Wu
  37. Multi-metric Graph Query Performance Prediction
    23rd International Conf. on Database Systems for Advanced Applications (DASFAA), 2018
    Keyvan Sasani, Mohammad Hossein Namaki, Yinghui Wu, Assefaw Gebremedhin
  38. GExp: Cost-aware Graph Exploration with Keywords. >|code 
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2018.
    Mohammad Hossein Namaki, Yinghui Wu, Xin Zhang
  39. 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), 2018
  40. Percolator: Scalable Pattern Discovery in Dynamic Graphs
    ACM International Conference on Web Search and Data Mining (WSDM), 2018
    Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence Holder, Khushbu Agarwal
  41. From Think Parallel to Think Sequential
    SIGMOD Record, 2018 (ACM SIGMOD Research Highlight Award)
    Wenfei Fan, Yang Cao, Jingbo Xu, Wenyuan Yu, Yinghui Wu, Chao Tian, Jiaxin Jiang, Bohan Zhang
  42. 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
  43. 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
  44. Event Pattern Discovery by Keywords in Graph Streams
    IEEE International Conference on Big Data (IEEE BigData), 2017
    Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
  45. BEAMS: Bounded Event Detection over Graph Streams. |Source code|Video
    Int.Conf.on Data Engineering (ICDE), 2017. 
    Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Tingjian Ge.
  46. Discovering Temporal Graph Association Rules
    The 26th ACM International Conference on Information and Knowledge Management (CIKM), 2017
    Mohammad Hossein Namaki, Yinghui Wu, Qi Song, Peng Lin, Tingjian Ge
  47. Performance Prediction for Graph Queries.  
    Network Data Analytics (NDA) Workshop (co-located with SIGMOD), 2017
    Mohammad Hossein Namaki, Keyvan Sasani, Yinghui Wu, Assefaw Gebremedhin.
  48. 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)
  49. 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
  50. GRAPE: Parallelizing Sequential Graph Computations.
    The 43rd International Conference on Very Large Data Bases (VLDB), demo, 2017.
    Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang. (Best Demo Award)
  51. 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  
  52. Mining Summaries for Knowledge Graph Search. | Source code
    IEEE International Conference on Data Mining (ICDM), 2016.
    Qi Song, Yinghui Wu*, Luna Xin Dong
  53. 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
  54. Functional Dependencies for Graphs. 
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
    Wenfei Fan, Yinghui Wu*, Jingbo Xu
  55. Fast Top-K Search in Knowledge Graphs.
    Int.Conf.on Data Engineering (ICDE), 2016.
    Shengqi Yang, Fangqiu Han, Yinghui Wu, Xifeng Yan.
  56. Adding Counting Quantifiers to Graph Patterns. 
    ACM SIGMOD Conference on Management of Data (SIGMOD), 2016.
    Wenfei Fan, Yinghui Wu*, Jingbo Xu
  57. Association Rules with Graph Patterns. Slides:[ppt]
    The 41th International Conference on Very Large Data Bases (VLDB), 2015.
    Wenfei Fan, Xin Wang, Yinghui Wu*, Jingbo Xu
  58. Towards networks of search engines and other digital experts: a distributed intelligence approach.
    8th IEEE International Conference on u-and-e-Service, Science and Technology (UNESST), 2015
    Predrag T. Tosic, Yinghui Wu. 
  59. 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
  60. 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
  61. 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.
  62. 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*
  63. 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.
  64. 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*.
  65. 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*.
  66. 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.
  67. 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.
  68. ExpFinder: Finding Experts by Graph Pattern Matching.
    Int. Conf. on Data Engineering (ICDE), 2013.
    Wenfei Fan, Xin Wang, Yinghui Wu*.
  69. 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.
  70. 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*.
  71. Inferring the Underlying Structure of Information Cascades. Slides:[ppt]
    Int. Conf. on Data Mining (ICDM), 2012.
    Bo Zong, Yinghui Wu, Ambuj Singh, Xifeng Yan.
  72. 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*.
  73. Emerging Graph Queries in Linked Data. Slides: [ppt]
    Seminar of Int. Conf. on Data Engineering (ICDE), 2012.
    Arijit Khan, Yinghui Wu, Xifeng Yan.
  74. 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*.
  75. 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*.
  76. 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*.
  77. 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*.
  78. 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*.
  79. 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*.  
Journal (selected)
  1. Federated Synchrophasor Data Prediction, Aggregation and Inference Using Deep Learning: A Case of Proactive Control for Short-term Stability, 2023
    IEEE Transactions on Power Delivery
    Arman Ahmed, Sagnik Basumallik, Anurag Srivastava, Yinghui Wu, Sutanay Choudhury
  2. Spatio-Temporal Deep Graph Network for Event Detection, Localization and Classification in Cyber-Physical Electric Distribution System, 2023
    IEEE Transactions on Industrial Informatics
    Arman Ahmed, Sagnik Basumallik, Amir Gholami, Sajan K.Sadanandan, Mohammad Namaki, Anurag Srivastava, Yinghui Wu
  3. 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
  4. Special Issue on Decision Making in Heterogeneous Network Data Scenarios and Applications
    World Wide Web Journal, 2022
    Jianxin Li, Chengfei Liu, Ziyu Guan, Yinghui Wu
  5. Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction, IEEE Access. 2022
    Sai Pushpak Nandanoori, Sheng Guan, Soumya Kundu, Seemita Pal, Khushbu Agarwal, Yinghui Wu, Sutanay Choudhury
  6. Anomaly Detection, Localization and Classification using Drifting Snchrophasor Data Streams
    IEEE Transactions on Smart Grid, 2021
    Arman Ahmed, Sajan Kaduvettykun, Anurag Srivastava, Yinghui Wu
  7. Answering Why-Quetions for Subgraph Queries
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
    Qi Song, Mohammad Hossein Namaki, Peng Lin, Yinghui Wu
  8. A Stochastic Approach to Finding Densest Temporal Subgraphs in Dynamic Graphs
    IEEE Transactions on Knowledge and Data Engineering (TKDE).  2020
    Xuanmin Liu, Tingjian Ge, Yinghui Wu
  9. Discovering Patterns for Fact Checking in Knowledge Graphs
    ACM Journal of Data and Information Quality (JDIQ), 2019
    Peng Lin, Qi Song, Yinghui Wu, Jiaxing Pi
  10. 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
  11. Fact Checking in Knowledge Graphs with Ontological Subgraph Patterns
    Data Science & Engineering (DSE) (invited), 2019
    Peng Lin, Qi Song, Yinghui Wu
  12. Ensemble Based Algorithm For Syncrophasor Data Anomaly Detection. 
    IEEE Transactions on Smart Grid, 2018
    Mengze Zhou, Yuhui Wang, Anurag K Srivastava, Yinghui Wu, Paramarshi Banerjee
  13. Mining Summaries for Knowledge Graph Search
    IEEE Transactions on Knowledge and Data Engineering (TKDE).  2018
    Qi Song, Yinghui Wu, Peng Lin, Xin (Luna) Dong, Hui Sun. 
  14. 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
  15. Answering Pattern Queries Using Views.
    IEEE Transactions on Knowledge and Data Engineering, Wenfei Fan, Xin Wang, Yinghui Wu*. 2016
  16. Incremental Graph Pattern Matching. ACM Transactions on Database Systems (TODS)
    Wenfei Fan, Xin Wang, Yinghui Wu*. 2013
  17. 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*. 2013
  18. On the Aggregation problem for Synthesized Web Services.
    Journal of Computer and System Science (JCSS) (invited).
    Ting Deng, Wenfei Fan, Leonid Libkin, Yinghui Wu*. 2012
Book Chapters
  1. Graph Pattern Matching. 
    Encyclopedia of Big Data Technologies, Springer
    Yinghui Wu, Arijit Khan
  2. Graph Exploration and Search. Encyclopedia of Big Data Technologies, Springer
    Davide Mottin, Yinghui Wu