Li Ang

Co-Founder and CEO

Bio

Ang Li is the CEO and Co-Founder of Simular, a tech company creating AI agents that can use computers like a human. He earned his Ph.D. in computer science in 2017 from the University of Maryland College Park, specializing in representation learning for linguistic and visual information. Ang has accumulated a wealth of expertise in on-device and large-scale machine learning through his past roles at  Google DeepMind, Baidu Apollo, Facebook AI Research, CMU Robotics, Apple, Google Streetview, and Comcast Labs DC.

From 2017 to 2021, Ang led multiple applied research programs at Google DeepMind, driving advancements in evolutionary neural networks and lifelong learning, and contributing to Google's production ecosystems. Between 2021 and 2023, Ang served as Principal Scientist at Apollo, Baidu's Autonomous Driving Unit, where he spearheaded the development of state-of-the-art continual learning platforms for self-driving cars, advancing the frontier of autonomous vehicle technology.

Ang published over 39 papers in top-tier AI conferences, and served as senior program committee members at top AI venues like AAAI and IJCAI. Ang started to code at an early age, leading to achievements in competitive programming such as first place in the 2013 Mid-Atlantic ACM/ICPC and 39th rank in the World finalist of ACM/ICPC.

Publications

PAMI 2024.

Building an open-vocabulary video CLIP model with better architectures, optimization and data.

Zuxuan Wu
Zejia Weng
Wujian Peng
Xitong Yang
Ang Li
Larry S. Davis
Yu-Gang Jiang
ICML 2023

Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization.

Zejia Weng
Xitong Yang
Ang Li
Zuxuan Wu
Yu-Gang Jiang
 ICLR 2022

Information-theoretic Online Memory Selection for Continual Learning

Shengyang Sun
Daniele Calandriello
Huiyi Hu
Ang Li
Michalis Titsias
NEURIPS 2021 WORKSHOP ON IMAGENET

One Pass ImageNet

Huiyi Hu
Ang Li
Daniele Calandriello
Dilan Gorur
ICML 2021 WORKSHOP

Task-agnostic Continual Learning with Hybrid Probabilistic Models

Polina Kirichenko
Mehrdad Farajtabar
Dushyant Rao
Balaji Lakshminarayanan
Nir Levine
Ang Li
Huiyi Hu
Andrew Gordon Wilson
Razvan Pascanu
CVPR 2021 WORKSHOP ON CONTINUAL LEARNING

The Effectiveness of Memory Replay in Large Scale Continual Learning

Yogesh Balaji
Mehrdad Farajtabar
Dong Yin
Alex Mott
Ang Li
ICML 2020 WORKSHOP ON CONTINUAL LEARNING

SOLA: Continual Learning with Second-Order Loss Approximation

Dong Yin
Mehrdad Farajtabar
Ang Li
AISTATS 2020

Orthogonal Gradient Descent for Continual Learning

Mehrdad Farajtabar
Navid Azizan
Alex Mott
Ang Li

Press Coverage

Autonomous Driving International

Baidu Apollo Day: Expanded robotaxi operations and new autonomous driving software and hardware

Synced Review

DeepMind’s One Pass ImageNet: A New Benchmark for Resource Efficiency in Deep Learning

MIT Technology Review

An algorithm that evolved Starcraft bots is also training self-driving cars

DeepMind Blog

How evolutionary selection can train more capable self-driving cars

The Verge

How Google Maps uses DeepMind’s AI tools to predict your arrival time

DeepMind Blog

Traffic prediction with advanced Graph Neural Networks

PR Newswire

Baidu Announces Plan to Build the World's Largest Fully Driverless Ride-Hailing Service Area in 2023

The AI Epiphany

ETA Prediction with Graph Neural Networks in Google Maps (Paper Explained)

TechCrunch

Waymo and DeepMind mimic evolution to develop a new, better way to train self-driving AI

Waymo Blog

Using automated data augmentation to advance our Waymo Driver

Venture Beat

DeepMind claims its AI improved Google Maps travel time estimates by up to 50%

Venture Beat

DeepMind’s AI uses aerial and ground-view data to navigate unseen areas

Academic Servicet

Journal Reviewer

  • IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transaction on Image Processing (TIP)
  • The Visual Computer Journal (TVCJ)
  • SPIE Journal of Electronic Imaging (JEI)
  • IEEE Transaction on Cybernetics
  • Robotics and Autonomous Systems
  • Machine Learning

Session Chair

  • International Joint Conference on Artificial Intelligence (IJCAI) 2021

Area Chair

  • NeurIPS Workshop on Meta Learning 2021
  • NeurIPS Workshop on Meta Learning 2022

Senior Program Committee

  • AAAI Conference on Artificial Intelligence (AAAI) 2021
  • International Joint Conference on Artificial Intelligence (IJCAI) 2020, 2021
  • International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) 2020

Program Committee

  • International Conference on Learning Representations (ICLR)
  • Annual Conference on Neural Information Processing Systems (NeurIPS)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Conference on Machine Learning (ICML)
  • IEEE International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • International Conference on Artificial Intelligence and Statistics (AISTATS)
  • ACM International Conference on Multimedia (MM)