The High-Performance and Data-Intensive Computing (HPDIC) lab publishes research findings at top conferences (e.g., SIGMOD, SC, AAAI, KDD, and NDSS) and journals (e.g., TPAMI, TPDS, TSC, TCC, and TBData).

News:

• 2024
  • [May] Prof. Zhao served on the Program Committee for WWW'24.
  • [Apr.] Prof. Zhao served on the Program Committee for SDM'24.
  • [Feb.] Prof. Zhao served on the Program Committee for AAAI'24: Special Track on Safe AI.
  • [Feb.] Prof. Zhao served on the Program Committee for AAAI'24: Main Track.
• 2023
  • [Oct.] High-performance homomorphic encryption funded by UW-Microsoft Cloud Computing.
  • [Oct.] Prof. Zhao joined the UW eScience Institute.
  • [Sept.] Prof. Zhao joined the UW Database Group.
  • [Aug.] Decoupled Databases for Federated Learning (DDFL) presented at KDD'23.
  • [July] Two research papers accepted by IEEE CLUSTER'23.
  • [July] Prof. Zhao joined the University of Washington as an Assistant Professor.
  • [June] Radix caching of homomorphic encryption presented at SIGMOD'23.
  • [June] Blockchain-based provenance for electronic devices presented at DSN'23.
  • [Apr.] Prof. Zhao promoted to Associate Editor of Journal of Big Data (Impact Factor: 10.835).
  • [Apr.] Prof. Zhao invited to give a talk at Florida State University.
  • [Mar.] Prof. Zhao invited to give a talk at Indiana University.
  • [Mar.] Prof. Zhao invited to give a talk at University of Washington.
  • [Feb.] Prof. Zhao served on the Program Committee for AAAI'23.
  • [Feb.] Prof. Zhao served on the Program Committee for KDD'23.
• 2022
  • [Nov.] Book chapter entitled "Cross-Blockchain Transactions" published by Springer.
  • [Nov.] MPI-based Federated Learning (MPI-FL) presented at SC'22.
  • [Feb.] Grant proposal of blockchain warehousing recommended for funding by NSF.
  • [Jan.] Edge-computing blockchain protocols accepted by IEEE IPDPS'22.
  • [Jan.] Topological distributed computing accepted by IPDPS'22, first-round 46/474 = 9.7%.
• 2021
  • [Nov.] Blockchain-as-a-Service for HPC (BAASH) accepted by ACM/IEEE SC'21.
  • [Nov.] Scientific data compression accepted by ACM/IEEE SC'21.
  • [Nov.] Prof. Zhao joined the Board of IEEE Transactions on Parallel and Distributed Systems.
  • [Jan.] Machine Learning-based Memory Scaling accepted by IEEE Trans. on Big Data.
  • [Jan.] Scientific Provenance on Blockchains (SciChain) accepted by IEEE ICDE'21.
• 2020
  • [Feb.] Edge Computing Blockchain (a.k.a. DEAN) accepted by NDSS'20, San Diego, California.
  • [Feb.] Supply Chain Blockchain accepted by NDSS'20, San Diego, California.
  • [Feb.] Fine-Grained I/O Tracker (a.k.a. Reflector) accepted by PPoPP'20, San Diego, California.
  • [Feb.] Parallel Deep Learning accepted by AAAI'20, oral presentation.
  • [Jan.] Cross-Blockchain Transactions accepted by CIDR'20, Amsterdam, Netherlands.
  • [Jan.] Grant proposal extending HPChain recommended for funding by U.S. DOE.
• 2019
  • [Nov.] High-Performance Blockchain accepted by ACM/IEEE SC'19, Denver, Colorado.
  • [Nov.] Machine-Learning-as-a-Service accepted by ACM/IEEE SC'19, Denver, Colorado.
  • [Sept.] Prof. Zhao received Amazon Web Services research grant.
  • [July] Blockchain Emulator won Best Paper Award at CLOUD'19, San Diego, California.
  • [Mar.] Prof. Zhao received Google Cloud Platform research grant.
  • [Jan.] Prof. Zhao on the Organization Committee of ACM Middleware'19, Davis, California.
• 2018
  • [Dec.] In-Memory Blockchain accepted by IEEE BigData'18, Seattle, Washington.
  • [Aug.] Energy-Efficient Edge Computing accepted by ICPP'18, Eugene, Oregon.
  • [July] Symbiosis RAM won Best Student Paper Award at CLOUD'18, San Francisco, California.
  • [May] Prof. Zhao joined UC Davis as a Visiting Professor.
  • [Jan.] Performant Docker Scheduling accepted by IEEE Trans. on Cloud Computing.
• 2017
  • [Sept.] Prof. Zhao received Microsoft Azure research grant.
  • [Aug.] Scientific Big-Data System Benchmarking accepted by VLDB'17, Munich, Germany.
  • [June] Prof. Zhao received Amazon Web Services research grant.
  • [Mar.] Distributed Scientific Metadata accepted by IEEE Trans. on Big Data.
  • [Jan.] Prof. Zhao completed postdoctoral fellowship at University of Washington.

• CS department ranking based on only top conferences
• CS department ranking based on reputable conferences and journals
• NRC ranking in computer science (1995)
• Conference ranking based on citations
• Conference and journal ranking based on citations
• Conference and journal tiers by Argonne National Lab
• When your paper is rejected...
• How to Read a Paper by Srinivasan Keshav
  
• Reviewing a technical paper by Michael Ernst
  

ovid.u.washington.edu

bicycle.cs.washington.edu

tricycle.cs.washington.edu

CSERESEARCH@aqua.cs.washington.edu

Selected publications:

• [AAAI] HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. The 34th AAAI Conference on Artificial Intelligence, 2020. *Oral Presentation (5.8% acceptance rate: 453 out of 7,737 submissions)
• [SC] Swift Machine Learning Model Serving Scheduling: A Region Based Reinforcement Learning Approach. International Conference for High Performance Computing, Networking, Storage, and Analysis, 2019.
• [CLOUD] Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. The 12th International Conference on Cloud Computing, 2019. *Best Paper Award (1 out of ??? submissions)
• [TCC] Locality-aware Scheduling for Containers in Cloud Computing. IEEE Transactions on Cloud Computing, 2018. (early access https://doi.org/10.1109/TCC.2018.2794344)
• [CLOUD] Toward Cost-effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory. The 11th IEEE International Conference on Cloud Computing, 2018. *Best Student Paper Award (1 out of 300+ submissions)
• [TBD] Toward Efficient and Flexible Metadata Indexing of Big Data Systems. IEEE Transactions on Big Data, 3(1):107-117, 2017.
• [VLDB] Comparative Evaluation of Big Data Systems on Scientific Image Analytics Workloads. The 43rd International Conference on Very Large Data Bases, 2017.
• [TSC] Dynamic Virtual Chunks: On Supporting Efficient Accesses to Compressed Scientific Data. IEEE Transactions on Services Computing, 9(1):96-109, 2016.
• [TPDS] Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations. IEEE Transactions on Parallel and Distributed Systems, 27(6):1824-1837, 2016.
• [PAMI] Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1):86-98, 2009.

(I stopped updating this page) A more complete list of publications can be found at DBLP.

In Autumn 2023, I teach Fundamentals of Object-Oriented Programming Theory and Application

dzhao at <udub> dot edu