Li, Ang

Principal Scientist
Baidu Apollo Autonomous Driving

Affiliate Faculty
University of Texas, Dallas

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Biography

I am a Principal Scientist at Baidu Apollo, building a safe, scalable and lifelong AI ecosystem for autonomous driving.

Until 2021, I was a Staff Research Scientist at Google DeepMind, where I researched the directions toward making artificial intelligence more scalable and applicable to the real world. I worked closely with Google teams on deploying the latest AI technologies into Alphabet products such as Waymo, Youtube, Google Maps, Google Cloud, and Google Ads. While I was in the Google headquarters, I spent quite a bit of my time engaging and advising AI technology with startups (e.g., WattTime) as a Partner Mentor at Google for Startups. Prior to that, I researched artificial intelligence at CMU Robotics Institute, Apple, Google Streetview, Facebook AI Research, and Comcast Labs DC. I received my Ph.D. in Computer Science in 2017 from the University of Maryland College Park, and B.S. from Nanjing University.

Publication

  • Backdoor Detection in Reinforcement Learning. 2022. bib
    Junfeng Guo, Ang Li, Cong Liu.
  • Neural Mean Discrepancy for Efficient Out-of-Distribution Detection. CVPR 2022. bibtex
    Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H.T. Kung.
  • Information-theoretic Online Memory Selection for Continual Learning. ICLR 2022. bibtex
    Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias.
  • AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis. ICLR 2022. code bibtex
    Junfeng Guo, Ang Li, Cong Liu.
  • Semi-Supervised Vision Transformers. 2021. bibtex
    Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang.
  • One Pass ImageNet. NeurIPS 2021 Workshop on ImageNet. bibtex
    Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur.
  • ETA Prediction with Graph Neural Networks in Google Maps. CIKM 2021. bibtex
    Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Veličković.
  • 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.
  • 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.
  • Learning to Incentivize Other Learning Agents. NeurIPS 2020. bibtex code
    Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes and Hongyuan Zha.
  • SOLA: Continual Learning with Second-Order Loss Approximation. ICML 2020 Workshop on Continual Learning. bibtex
    Dong Yin, Mehrdad Farajtabar, Ang Li.
  • The AVA-Kinetics Localized Human Actions Video Dataset. 2020. data bibtex
    Ang Li, Meghana Thotakuri, David A. Ross, Joao Carreira, Alexander Vostrikov, Andrew Zisserman.
  • Hybrid Models for Open Set Recognition. ECCV 2020 Oral. bibtex
    Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo.
  • PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. CVPR 2020. bibtex
    Zelun Kong, Junfeng Guo, Ang Li, Cong Liu.
  • Orthogonal Gradient Descent for Continual Learning. AISTATS 2020. bibtex
    Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li.
  • Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. ICLR 2020. bibtex
    Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui.
  • Improved Knowledge Distillation via Teacher Assistant. AAAI 2020. Bibtex
    Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh.
  • Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing. NeurIPS 2019 workshop. bibtex
    Ge Liu, Heng-Tze Cheng, Rui Wu, Jing Wang, Jayiden Ooi, Lihong Li, Ang Li, Sibon Li, Craig Boutilier.
  • Cross-View Policy Learning for Street Navigation. ICCV 2019. bibtex
    Ang Li*, Huiyi Hu*, Piotr Mirowski, Mehrdad Farajtabar.
  • A Generalized Framework for Population Based Training. KDD 2019. youtube bibtex
    Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta.
  • SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning. AAAI 2019.
    Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi.
  • Improving Open Set Domain Adaptation Using Image-to-Image Translation. ICME 2019.
    Hongjie Zhang, Ang Li, Xu Han, Zhaoming Chen, Yang Zhang, Yanwen Guo.
  • Layout-induced Video Representation for Recognizing Agent-in-Place Actions. ICCV 2019. bibtex
    Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis.
  • C-WSL: Count-guided Weakly Supervised Localization. ECCV 2018. bibtex
    Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis.
  • NISP: Pruning Networks using Neuron Importance Score Propagation. CVPR 2018. bibtex
    Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis.
  • Dynamic Zoom-in Network for Fast Object Detection in Large Images. CVPR 2018. bibtex
    Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis.
  • Learning Visual N-Grams from Web Data. ICCV 2017. bibtex
    Ang Li, Allan Jabri, Armand Joulin and Laurens van der Maaten.
  • Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation. ICCV 2017. bibtex
    Ruichi Yu, Ang Li, Vlad I. Morariu and Larry S. Davis.
  • Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval. CVPR 2017. poster data code bibtex
    Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu and Larry S. Davis.
  • Towards Unified Data and Lifecycle Management for Deep Learning. ICDE 2017. bibtex
    Hui Miao, Ang Li, Larry S. Davis and Amol Deshpande
  • On Model Discovery For Hosted Data Science Projects. SIGMOD 2017 workshop. bibtex
    Hui Miao, Ang Li, Larry S. Davis and Amol Deshpande.
  • Selective Encoding for Recognizing Unreliably Localized Faces. ICCV 2015 spotlight. youtube code bibtex
    Ang Li, Vlad I. Morariu and Larry S. Davis.
  • Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking. 2015. bibtex
    Ang Li, Feng Tang, Yanwen Guo and Hai Tao.
  • Planar Structure Matching Under Projective Uncertainty for Geolocation. ECCV 2014. youtube bibtex
    Ang Li, Vlad I. Morariu and Larry S. Davis.
  • Object Tracking Using Learned Feature Manifolds. CVIU 2013. bibtex
    Yanwen Guo, Ye Chen, Feng Tang, Ang Li, Weitao Luo, and Mingming Liu.
  • Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift. CVPR 2012. bibtex
    Zhiding Yu, Ang Li, Oscar C. Au and Chunjing Xu.
  • Discriminative Nonorthogonal Binary Subspace Tracking. ECCV 2010. bibtex
    Ang Li, Feng Tang, Yanwen Guo and Hai Tao.

Professional Service

  • 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
  • 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)