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

  1. Building an open-vocabulary video CLIP model with better architectures, optimization and data. PAMI 2024. bib
Zuxuan Wu, Zejia Weng, Wujian Peng, Xitong Yang, Ang Li, Larry S. Davis, Yu-Gang Jiang
  2. Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. ICML 2023. bib
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang
  3. Information-theoretic Online Memory Selection for Continual Learning. ICLR 2022. bibtex
Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias.
  4. One Pass ImageNet. NeurIPS 2021 Workshop on ImageNet. bibtex
Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur.
  5. Task-agnostic Continual Learning with Hybrid Probabilistic Models. ICML 2021 workshop. bibtex
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu.
  6. The Effectiveness of Memory Replay in Large Scale Continual Learning. CVPR 2021 Workshop on Continual Learning. bibtex
Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li.
  7. SOLA: Continual Learning with Second-Order Loss Approximation. ICML 2020 Workshop on Continual Learning. bibtex
Dong Yin, Mehrdad Farajtabar, Ang Li.
  8. Orthogonal Gradient Descent for Continual Learning. AISTATS 2020. bibtex
Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li.

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)

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