Posts

TorchOpt and papers are accepted to NeurIPS 2022

Our paper “A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning” is accepted by NeurIPS 2022. This paper is based on our recently released system for differential optimisation: TorchOpt. TorchOpt is accepted as a paper by the 14th International Workshop for Optimization for Machine Learning (OPT) co-located with NeurIPS 2022.
Sep 10, 2022

MegBA in ECCV 2022

Our Paper “MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment” is accepted by ECCV 2022. ECCV is considered to be one of the top conferences in computer vision, alongside CVPR and ICCV.
Jul 10, 2022

Ekko in OSDI 2022

Our Paper “Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update” is accepted by USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2022. OSDI is a highly selective flagship conference in computer science, especially on the topic of computer systems.
Mar 18, 2022

Quiver is open-sourced

Quiver is a distributed graph learning library for PyTorch Geometric (PyG). Its excellent performance and scalability has made it quickly become the recommended distributed library for PyG.
Oct 31, 2021

HyperPose and RLzoo in open-source software competition

HyperPose and RLzoo are both accepted to the Open-source Software Competition in ACM Multimedia 2021. ACM Multimedia is the worldwide premier conference and a key world event to display scientific achievements and innovative industrial products in the multimedia field.
Aug 15, 2021

Invited lecture at the Oxford ML summer school

I am honored to give a lecture about AI/ML systems at the prestigious Oxford Machine Learning Summer School. The school covers some of the most important topics in ML/DL that the field is showing a growing interest in (e.
Jul 31, 2021

Invited talks at TikTok, SenseTime, Tencent and SIGMOD.

I am excited to give talks about future AI/Data systems at TikTok, SenseTime, Tencent and SIGMOD Enterprise Database Workshop 2021.
Jun 10, 2021

KungFu to appear at OSDI 2020

Our Paper “KungFu: Making Training in Distributed Machine Learning Adaptive” is accepted by USENIX Symposium on Operating Systems Design and Implementation (OSDI) 2020. OSDI is a highly selective flagship conference in computer science, especially on the topic of computer systems.
Aug 18, 2020

Cameo to appear at NSDI 2021

Our Paper “Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo” is accepted by USENIX Symposium on Networked Systems Design and Implementation (NSDI) 2021. NSDI focuses on the design principles, implementation, and practical evaluation of networked and distributed systems.
Jul 5, 2020

Invited talk in the AI systems workshop at SOSP 2019

I am invited to give a talk: “Adaptive Distributed Training of Deep Learning Models” in the Workshop on AI Systems at ACM Symposium on Operating Systems Principles (SOSP) 2019.
Nov 5, 2019