Research | Eric Lo's Homepage

AI-Serving
- Agentic (e.g., LangChain and Multi-Agent)
- LLM System Infrastructure (e.g., Pre-fill/Decode Disaggregation, Speculative Decoding)
- RAG and Vector Database (e.g., ANN indexing)
- MLSys (e.g., developing new feature stores for serving ML and data science pipelines)
- - Chaokun Chang, Eric Lo, Chunxiao Ye: “Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines“. In Proceedings of VLDB, 2024.
  - Peiqi Yi et al: “CARINA: An Efficient CXL-Oriented Embedding Serving System for Recommendation Models“. SIGMOD, 2025.
- Efficient Visual Model Inference
  - Chenxia Han, C. Chang, S. Srivastava. Y. Lu, Eric Lo: “Scalable Complex Event Processing on Video Streams“. SIGMOD, 2025.
  - Ziliang Lai, Chenxia Han, Chris Liu, PengFei Zhang, Eric Lo, Ben Kao: “Top-K Deep Video Analytics: a Probabilistic Approach“. SIGMOD, 2021. Also check out project web
  - PengFei Zhang, Eric Lo, Baotong Lu: “High-Performance Depthwise and Pointwise Convolutions on Mobile Devices“. In Proceedings of AAAI, 2020.
Cloud, Distributed, Database, Operating Systems, and HPC (Supercomputing)
- Distributed/transactional systems
  - Ziliang Lai, F Cui, H Fan, W Zhou, Feifei Li, Eric Lo: “Occam’s Razor for Distributed Protocols“. SoCC, 2024
  - Ziliang Lai, H Fan, W Zhou, Z Ma, X Peng, Feifei Li, Eric Lo: “Knock Out 2PC with Practicality Intact: a High-performance and General Distributed Transaction Protocol“. ICDE, 2023.
  - Ziliang Lai, Chris Liu, Eric Lo: “When Blockchain meets Deterministic Database“. SIGMOD, 2023.
  - Mohammad Javad Amiri, Ziliang Lai, Liana Patel, Boon Thau Loo, Eric Lo, Wenchao Zhou: “Saguaro: Efficient Processing of Transactions in Wide Area Networks using a Hierarchical Permissioned Blockchain“. ICDE, 2023.
- GPGPU and Disaggregated memory on RDMA/CXL
  - B. Lu, K. Huang, Mike Liang, T, Wang, Eric Lo: “DEX: Scalable Range Indexing on Disaggregated Memory“. In Proceedings of VLDB, 2024.
- Core DB (indexing, query processing, and concurrency control)
  - Chaichon. Wongkham, B. Lu, C. Liu, Z. Zhong, Eric Lo, T. Wang: “Are Updatable Learned Indexes Ready?“. In Proceedings of VLDB, 2022.
  - B. Lu, J. Ding, Eric Lo, U.Farooq Minhas, T. Wang: “APEX: A High-Performance Learned Index on Persistent Memory“. In Proceedings of VLDB, 2022.
  - B. Lu, X. Hao, T. Wang, Eric Lo: “Dash: Scalable Hashing on Persistent Memory“. In Proceedings of VLDB, 2020. (ACM SIGMOD Research Highlight Award 2021)
  - W. Xu, Z. Feng, Eric Lo: “Fast Multi-column Sorting in Main-Memory Column-Stores“. In Proceedings of ACM SIGMOD Conference, 2016.
  - Z. Feng, Eric Lo, B. Kao, W. Xu: “ByteSlice: Pushing the Envelop of Main Memory Query Processing with a New Storage Layout“. In Proceedings of ACM SIGMOD Conference, 2016.