Publications

• Are Updatable Learned Indexes Ready?
  Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang
  48th International Conference on Very Large Data Bases (VLDB 2022).

• APEX: A High-Performance Learned Index on Persistent Memory.
  Baotong Lu, Jialin Ding, Eric Lo, Umar Faroop Minhas, Tianzheng Wang
  48th International Conference on Very Large Data Bases (VLDB 2022).

• Scaling Dynamic Hash Tables on Real Persistent Memory. [Technical Perspective] from Prof. Ken Ross
  Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo
  SIGMOD Record 2021, Volume 50, Issue 1.

• Dash: Scalable Hashing on Perisistent Memory. [code] [Abstract at NVMW 2021]
  Baotong Lu, Xiangpeng Hao, Tianzheng Wang, Eric Lo
  46th International Conference on Very Large Data Bases (VLDB 2020).
  2021 ACM SIGMOD Research Highlight Award
  DragonflyDB's (a modern, fast Redis replacement) core hash table structure is based on Dash.

• High Performance Depthwise and Pointwise Convolutions on Mobile Devices.
  Pengfei Zhang, Eric Lo, Baotong Lu
  34th AAAI conference on Artificial Intelligence (AAAI 2020).

Professional Service

• Program Committee: VLDB 2025 (PVLDB 18)

• SIGMOD Availability Committee 2023, 2022

• Reviewer: TKDE, TCAD

• External Reviewer: SIGMOD 2024, ICDE 2024, SIGMOD 2022, ICDE 2022, VLDB 2021, SIGMOD 2021, ICDE 2021, EDBT 2021, ATC 2020, DASFAA 2019, VLDB 2018 (Demo)

Teaching Assistant (CUHK)

• Spring 2021, CSCI5570: Large Scale Data Processing Systems

• Fall 2020, CENG4480: Embedded System Development and Applications

• Fall 2019, CSCI4160: Distributed and Parallel Computing

• Spring 2019, ESTR3102: Operating Systems (Elite Stream)

• Fall 2018, CSCI3150: Operating Systems

Selected Awards