Conglong Li

I graduated from CMU in May 2020. Please go to my personal website. I can no longer update this website nor access my cmu.edu email accounts.

Conglong Li received Ph.D. in Computer Science from Carnegie Mellon University in 2020. During his Ph.D. study, he was advised by Professor David G. Andersen. He received both B.S. and M.S. in Computer Science from Rice University in 2013 and 2014, respectively. During his study at Rice, he was advised by Professor Alan L. Cox and supported by the Graduate Research Fellowship.

In general, Conglong works on improving performance and resource efficiency of various computer systems.

In particular, his Ph.D. thesis focuses on the intersection of systems and machine learning:

• Systems for ML: building efficient systems for ML applications.
• ML for Systems: leveraging ML techniques to build intelligent systems.

Publication (Google Scholar)

• Learned Adaptive Accuracy-Cost Optimization for Machine Learning Systems.
  Conglong Li
  Ph.D. Thesis.
• Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination.
  Conglong Li, Minjia Zhang, David G. Andersen, Yuxiong He.
  In Proc. ACM SIGMOD 2020. [source code]
• Scaling Video Analytics on Constrained Edge Nodes.
  Christopher Canel, Thomas Kim, Giulio Zhou, Conglong Li, Hyeontaek Lim, David G. Andersen, Michael Kaminsky, Subramanya R. Dulloor.
  In Proc. SysML 2019.
• Better Caching in Search Advertising Systems with Rapid Refresh Predictions.
  Conglong Li, David G. Andersen, Qiang Fu, Sameh Elnikety, Yuxiong He.
  In Proc. WWW 2018.
• Workload Analysis and Caching Strategies for Search Advertising Systems.
  Conglong Li, David G. Andersen, Qiang Fu, Sameh Elnikety, Yuxiong He.
  In Proc. ACM SoCC 2017.
• Using Indirect Routing to Recover from Network Traffic Scheduling Estimation Error.
  Conglong Li, Matthew K. Mukerjee, David G. Andersen, Srinivasan Seshan, Michael Kaminsky, George Porter, Alex C. Snoeren.
  In Proc. ACM/IEEE ANCS 2017.
• Scheduling Techniques for Hybrid Circuit/Packet Networks.
  He Liu, Matthew K. Mukerjee, Conglong Li, Nicolas Feltman, George Papen, Stefan Savage, Srinivasan Seshan, Geoffrey M. Voelker, David G. Andersen, Michael Kaminsky, George Porter, Alex C. Snoeren.
  In Proc. ACM CoNEXT 2015.
• GD-Wheel: A Cost-Aware Replacement Policy for Key-Value Stores.
  Conglong Li, Alan L. Cox.
  In Proc. ACM EuroSys 2015.
• Reducing DRAM Row Activations with Eager Read/Write Clustering.
  Myeongjae Jeon, Conglong Li, Alan L. Cox, Scott Rixner.
  In ACM TACO 2013.
• GD-Wheel: A Cost-Aware Replacement Policy for Key-Value Stores.
  Conglong Li, Alan L. Cox.
  In 7th Workshop on Large-Scale Distributed Systems and Middleware (LADIS 2013).