The High-Performance and Data-Intensive Computing (HPDIC) research lab, currently hosted at the University of Washington, publishes research findings at top conferences (e.g., SIGMOD, AAAI) and journals (e.g., TPAMI, TPDS).

News:

• 2024
  • [Sept.] Roofline Compression Model to be presented at SC'24.
  • [Sept.] Nonparametric Topological Layers in Neural Networks invited for publication at JDSA.
  • [Aug] Mamba Neural Network for Skin Lesion accepted by Exploration of Medicine.
  • [Aug] Prof. Zhao invited to serve on the TPC of WWW'25.
  • [Jun] Prof. Zhao gave a talk at Worcester Polytechnic Institute.
  • [Jun] AI-based Skin Lesion Segmentation accepted by Biomedical Signal Processing & Control.
  • [Jun] Prof. Zhao invited to serve on the TPC of AAAI'25.
  • [May] Prof. Zhao joined the board of Institute on Networking Systems of AI.
  • [May] Homomorphic Encryption on Edge Computing accepted by ICWS'24, acceptance rate 19%.
  • [Mar.] Dynamic Caching for Vector Databases presented at ICICT'24.
  • [Jan.] Nonparametric Topological Layers in Neural Networks accepted by PAKDD'24, oral.
• 2023
  • [Dec.] Prof. Zhao received a research grant from Microsoft.
  • [Aug.] Decoupled Databases for Federated Learning (DDFL) presented at KDD'23.
  • [July] Prof. Zhao joined the University of Washington as an Assistant Professor.

• 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
  

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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

Email: dzhao (at) cs.washington.edu