DSILab@SMU

DSILab@SMU

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Welcome to our DSI Lab

The Data Science Infrastructure Lab (DSILab), led by Professor Jia Zhang in the Department of Computer Science at Southern Methodist University, is engaged in research in the intersection of Data Science, Machine Learning, Cloud Computing, and Software Engineering.

Our research interests emphasize the application of machine learning and information retrieval methods to tackle data science infrastructure problems, with a recent focus on scientific workflows, provenance mining, software discovery, knowledge graph, and interdisciplinary applications of all of these interests in the area of Earth science.

Toward this goal, this lab is doing research in a broad area including (but not limited to):

  • Scientific Workflow
  • Provenance Mining
  • Cyberinfrastructure and Intelligent Systems
  • AI in Big Data
  • Cloud Computing
  • Service Discovery and Recommendation
  • Scientific Collaboration

Awards

  • Best Student Paper in IEEE ICCC 2018: Paper of X. Duan, J. Zhang, R. Ramachandran, P. Gatlin, M. Maskey, J.J. Miller, K. Bugbee and T.J. Lee, “A Neural Network-Powered Cognitive Method of Identifying Semantic Entities in Earth Science Papers”, has been awarded the best student paper in the IEEE International Conference on Cognitive Computing (ICCC), 2018, San Francisco, CA, USA, July 2-7, 2018.
  • Best Student Paper in IEEE ICWS 2018: Paper of H. Lin, Y. Fan, J. Zhang, and B. Bai, “PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation”, has been awarded the best student paper in the IEEE International Conference on Web Services (ICWS), 2018, San Francisco, CA, USA, July 2-7, 2018.
  • Best Student Paper 2nd Runner Up in IEEE CLOUD 2018: Paper of Z. Gao, Y. Fan, C. Wu, J. Zhang, and C. Chen, “DSES: A Blockchain-powered Decentralized Service Eco-System”, has been awarded the best student paper 2nd runner up in the IEEE International Conference on Cloud Computing (CLOUD), 2018, San Francisco, CA, USA, July 2-7, 2018.
  • Best Paper in IEEE SCC 2017: Paper of B. Bai, Y. Fan, W. Tan, and J. Zhang, “SR-LDA: Mining Effective Representations for Generating Service Ecosystem Knowledge Maps”, has been awarded the best paper in the IEEE International Conference on Services Computing (SCC), 2017, Honolulu, HI, USA, Jun. 25-30, 2017.
  • Best Paper Runner Up in IEEE ICWS 2016: Paper of J. Zhang, W. Wang, S. Lu, Y. Bai, Q. Bao, T.J. Lee, K. Nagaraja, and N. Radia, “A Bloom Filter-Powered Technique Supporting Scalable Semantic Service Discovery in Service Networks”, has been awarded the best paper runner up in the IEEE International Conference on Web Services (ICWS), 2016, San Francisco, CA, USA, June 27-July 2, 2016.
  • Best Paper Runner Up in IEEE ICWS 2016: Paper of K. Huang, J. Yao, J. Zhang, and Z. Feng, “Human-as-a-Service: An Empirical Study of Growth in Human Service Ecosystem”, has been awarded the best paper runner up in the IEEE International Conference on Services Computing (SCC), 2016, San Francisco, CA, USA, June 27-July 2, 2016.
  • Best Student Paper Runner Up in IEEE ICWS 2016: Paper of Z. Gao, Y. Fan, C. Wu, W. Tan, J. Zhang, Y. Ni, B. Bai, and S. Chen, “SeCo-LDA: Mining Service Co-occurrence Topics for Recommendation”, has been awarded the best student paper runner up in the IEEE International Conference on Web Services (ICWS), 2016, San Francisco, CA, USA, June 27-July 2, 2016.
  • Best Student Paper in IEEE ICWS 2014: Paper of Y. Zhong, Y. Fan, K. Huang, W. Tan, and J. Zhang, “Time-Aware Service Recommendation for Mashup Creation in an Evolving Service Ecosystem”, has been awarded the best student paper in the IEEE International Conference on Web Services (ICWS), 2014, Anchorage, AK, USA, June 27-July 2, 2014.
  • Best Paper in IEEE ICWS 2011: Paper of J. Zhang, W. Tan, J. Alexander, I. Foster and R. Madduri, “Recommend-As-You-Go: A Novel Approach Supporting Services-Oriented Scientific Workflow Reuse”, has been awarded the best paper in the IEEE International Conference on Services Computing (SCC), 2011, Washington DC, USA, July 4-9, 2011.