Ang Li - Simular - Artificial Intelligence

Li Ang 李昂

Founder and CEO @ Simular

I am a startup founder in artificial intelligence, with a variety of research and product experiences on autonomous driving, videos, cameras, maps, advertisements, etc. My research aims at building lifelong autonomous agents. Previously, I worked at Google DeepMind, Baidu Apollo, Facebook AI Research, CMU Robotics, Apple, Google Streetview, and Comcast Labs DC. I received my Ph.D. in computer science from the University of Maryland College Park. My PhD thesis is spatial perception from visual and linguisitc information.

Publication

Forget but Recall: Incremental Latent Rectification in Continual Learning. 2024. bib
Nghia D. Nguyen, Hieu Trung Nguyen, Ang Li, Hoang Pham, Viet Anh Nguyen, Khoa D. Doan


@misc{nguyen2024forgetrecallincrementallatent,
      title={Forget but Recall: Incremental Latent Rectification in Continual Learning}, 
      author={Nghia D. Nguyen and Hieu Trung Nguyen and Ang Li and Hoang Pham and Viet Anh Nguyen and Khoa D. Doan},
      year={2024},
      eprint={2406.17381},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2406.17381}, 
}

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


@misc{wu2023building,
      title={Building an Open-Vocabulary Video CLIP Model with Better Architectures, Optimization and Data}, 
      author={Zuxuan Wu and Zejia Weng and Wujian Peng and Xitong Yang and Ang Li and Larry S. Davis and Yu-Gang Jiang},
      year={2023},
      eprint={2310.05010},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning. ICCV 2023. bib
Junfeng Guo, Ang Li, Cong Liu.


@misc{guo2022backdoor,
      title={PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning}, 
      author={Junfeng Guo and Ang Li and Cong Liu},
      year={2023},
      eprint={2202.03609},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

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


@misc{weng2023openvclip,
  doi = {10.48550/ARXIV.2302.00624},
  url = {https://arxiv.org/abs/2302.00624},
  author = {Weng, Zejia and Yang, Xitong and Li, Ang and Wu, Zuxuan and Jiang, Yu-Gang},
  keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization},
  publisher = {arXiv},
  year = {2023},
  copyright = {arXiv.org perpetual, non-exclusive license}
}

Hyperspherical Federated Learning. ECCV 2022. bib
Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung


@misc{dong2022fed,
      title={Hyperspherical Federated Learning}, 
      author={Xin Dong and Sai Qian Zhang and Ang Li and H.T. Kung},
      year={2022},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

Semi-Supervised Vision Transformers. ECCV 2022. bib
Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang.


@misc{weng2021semisupervised,
      title={Semi-Supervised Vision Transformers}, 
      author={Zejia Weng and Xitong Yang and Ang Li and Zuxuan Wu and Yu-Gang Jiang},
      year={2021},
      eprint={2111.11067},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

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.


@misc{dong2022neural,
      title={Neural Mean Discrepancy for Efficient Out-of-Distribution Detection}, 
      author={Xin Dong and Junfeng Guo and Ang Li and Wei-Te Ting and Cong Liu and H. T. Kung},
      year={2022},
      eprint={2104.11408},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

Information-theoretic Online Memory Selection for Continual Learning. ICLR 2022. bibtex
Shengyang Sun, Daniele Calandriello, Huiyi Hu, Ang Li, Michalis Titsias.


@InProceedings{sun2022cl,
      title={Information-theoretic Online Memory Selection for Continual Learning}, 
      author={Shengyang Sun and Daniele Calandriello and Huiyi Hu and Ang Li and Michalis Titsias},
      year={2022},
      booktitle = {International Conference on Learning Representations (ICLR)},
}

AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis. ICLR 2022. code bibtex
Junfeng Guo, Ang Li, Cong Liu.


@misc{guo2021aeva,
      title={AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis}, 
      author={Junfeng Guo and Ang Li and Cong Liu},
      year={2021},
      eprint={2110.14880},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

One Pass ImageNet. NeurIPS 2021 Workshop on ImageNet. bibtex
Huiyi Hu, Ang Li, Daniele Calandriello, Dilan Gorur.


@misc{hu2021opin,
      title={One Pass ImageNet}, 
      author={Huiyi Hu and Ang Li and Daniele Calandriello and Dilan Gorur},
      year={2021},
      eprint={2111.01956},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

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.


@article{gnngmaps2021,
  author    = {Austin Derrow{-}Pinion and
               Jennifer She and
               David Wong and
               Oliver Lange and
               Todd Hester and
               Luis Perez and
               Marc Nunkesser and
               Seongjae Lee and
               Xueying Guo and
               Brett Wiltshire and
               Peter W. Battaglia and
               Vishal Gupta and
               Ang Li and
               Zhongwen Xu and
               Alvaro Sanchez{-}Gonzalez and
               Yujia Li and
               Petar Velickovic},
  title     = {{ETA} Prediction with Graph Neural Networks in Google Maps},
  journal   = {CoRR},
  volume    = {abs/2108.11482},
  year      = {2021},
  url       = {https://arxiv.org/abs/2108.11482},
  eprinttype = {arXiv},
  eprint    = {2108.11482},
  timestamp = {Fri, 27 Aug 2021 15:02:29 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2108-11482.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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.


@article{polina2021hybridcl,
  author    = {Polina Kirichenko and
               Mehrdad Farajtabar and
               Dushyant Rao and
               Balaji Lakshminarayanan and
               Nir Levine and
               Ang Li and
               Huiyi Hu and
               Andrew Gordon Wilson and
               Razvan Pascanu},
  title     = {Task-agnostic Continual Learning with Hybrid Probabilistic Models},
  journal   = {CoRR},
  volume    = {abs/2106.12772},
  year      = {2021},
  url       = {https://arxiv.org/abs/2106.12772},
  archivePrefix = {arXiv},
  eprint    = {2106.12772},
  timestamp = {Wed, 30 Jun 2021 16:14:10 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2106-12772.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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.


@misc{balaji2020taskonomycl,
    title={The Effectiveness of Memory Replay in Large Scale Continual Learning},
    author={Yogesh Balaji and Mehrdad Farajtabar and Dong Yin and Alex Mott and Ang Li},
    year={2020},
    eprint={2010.02418},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

PredCoin: Defense against Query-based Hard-label Attack. 2021.
Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar, Ang Li, Cong Liu

Learning to Incentivize Other Learning Agents. NeurIPS 2020. bibtex code
Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes and Hongyuan Zha.


@misc{yang2020learning,
    title={Learning to Incentivize Other Learning Agents},
    author={Jiachen Yang and Ang Li and Mehrdad Farajtabar and Peter Sunehag and Edward Hughes and Hongyuan Zha},
    year={2020},
    eprint={2006.06051},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

SOLA: Continual Learning with Second-Order Loss Approximation. ICML 2020 Workshop on Continual Learning. bibtex
Dong Yin, Mehrdad Farajtabar, Ang Li.


@misc{yin2020sola,
    title={SOLA: Continual Learning with Second-Order Loss Approximation},
    author={Dong Yin and Mehrdad Farajtabar and Ang Li},
    year={2020},
    eprint={2006.10974},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

The AVA-Kinetics Localized Human Actions Video Dataset. 2020. data bibtex
Ang Li, Meghana Thotakuri, David A. Ross, Joao Carreira, Alexander Vostrikov, Andrew Zisserman.


@misc{li2020avakinetics,
    title={The AVA-Kinetics Localized Human Actions Video Dataset},
    author={Ang Li and Meghana Thotakuri and David A. Ross and João Carreira and Alexander Vostrikov and Andrew Zisserman},
    year={2020},
    eprint={2005.00214},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Hybrid Models for Open Set Recognition. ECCV 2020 Oral. bibtex
Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo.


@misc{zhang2020hybrid,
    title={Hybrid Models for Open Set Recognition},
    author={Hongjie Zhang and Ang Li and Jie Guo and Yanwen Guo},
    year={2020},
    eprint={2003.12506},
    archivePrefix={ECCV 2020},
    primaryClass={cs.CV}
}

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. CVPR 2020. bibtex
Zelun Kong, Junfeng Guo, Ang Li, Cong Liu.


@misc{kong2019physgan,
    title={PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving},
    author={Zelun Kong and Junfeng Guo and Ang Li and Cong Liu},
    year={2019},
    eprint={1907.04449},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Orthogonal Gradient Descent for Continual Learning. AISTATS 2020. bibtex
Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li.


@misc{farajtabar2019orthogonal,
    title={Orthogonal Gradient Descent for Continual Learning},
    author={Mehrdad Farajtabar and Navid Azizan and Alex Mott and Ang Li},
    year={2019},
    eprint={1910.07104},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}}

Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. ICLR 2020. bibtex
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui.


@misc{levine2019prediction,
    title={Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control},
    author={Nir Levine and Yinlam Chow and Rui Shu and Ang Li and Mohammad Ghavamzadeh and Hung Bui},
    year={2019},
    eprint={1909.01506},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}

Improved Knowledge Distillation via Teacher Assistant. AAAI 2020. Bibtex
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh.


@article{DBLP:journals/corr/abs-1902-03393,
  author    = {Seyed{-}Iman Mirzadeh and
               Mehrdad Farajtabar and
               Ang Li and
               Nir Levine and
               Akihiro Matsukawa and
               Hassan Ghasemzadeh},
  title     = {Improved Knowledge Distillation via Teacher Assistant: Bridging the
               Gap Between Student and Teacher},
  journal   = {AAAI 2020},
  volume    = {abs/1902.03393},
  year      = {2020},
  url       = {http://arxiv.org/abs/1902.03393},
  archivePrefix = {arXiv},
  eprint    = {1902.03393},
  timestamp = {Tue, 21 May 2019 18:03:39 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1902-03393},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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.


@misc{liu2020data,
      title={Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing}, 
      author={Ge Liu and Rui Wu and Heng-Tze Cheng and Jing Wang and Jayden Ooi and Lihong Li and Ang Li and Wai Lok Sibon Li and Craig Boutilier and Ed Chi},
      year={2020},
      eprint={2002.05229},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

Cross-View Policy Learning for Street Navigation. ICCV 2019. bibtex
Ang Li*, Huiyi Hu*, Piotr Mirowski, Mehrdad Farajtabar.


@InProceedings{streetair_iccv2019,
author = {Ang Li and Huiyi Hu and Piotr Mirowski and Mehrdad Farajtabar},
title = {Cross-View Policy Learning for Street Navigation},
booktitle = {International Conference on Computer Vision (ICCV)},
year = {2019}
}

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.

@InProceedings{li_pbt_kdd2019,
author = {Ang Li and Ola Spyra and Sagi Perel and Valentin Dalibard and Max Jaderberg and Chenjie Gu and David Budden and Tim Harley and Pramod Gupta},
title = {A Generalized Framework for Population Based Training},
booktitle = {KDD},
year = {2019}
}

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.

@article{Yu2018RepresentingVB,
  title={Layout-induced Video Representation for Recognizing Agent-in-Place Actions},
  author={Ruichi Yu and Hongcheng Wang and Ang Li and Jingxiao Zheng and Vlad I. Morariu and Larry S. Davis},
  journal={CoRR},
  year={2018},
  volume={abs/1804.01429}
}

C-WSL: Count-guided Weakly Supervised Localization. ECCV 2018. bibtex
Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis.

@InProceedings{gao2017cwsl,
  title={C-WSL: Count-guided Weakly Supervised Localization.},
  author={Mingfei Gao and Ang Li and Ruichi Yu and Vlad I. Morariu and Larry S. Davis},
  booktitle={European Conference on Computer Vision (ECCV)},
  year={2018}
}

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.

@InProceedings{Yu_2018_CVPR,
author = {Yu, Ruichi and Li, Ang and Chen, Chun-Fu and Lai, Jui-Hsin and Morariu, Vlad I. and Han, Xintong and Gao, Mingfei and Lin, Ching-Yung and Davis, Larry S.},
title = {NISP: Pruning Networks Using Neuron Importance Score Propagation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}

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.

@InProceedings{Gao_2018_CVPR,
author = {Gao, Mingfei and Yu, Ruichi and Li, Ang and Morariu, Vlad I. and Davis, Larry S.},
title = {Dynamic Zoom-In Network for Fast Object Detection in Large Images},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}

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.

@inproceedings{Miao:2017:MDH:3076246.3076252,
 author = {Miao, Hui and Li, Ang and Davis, Larry S. and Deshpande, Amol},
 title = {On Model Discovery For Hosted Data Science Projects},
 booktitle = {Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning},
 series = {DEEM'17},
 year = {2017},
 isbn = {978-1-4503-5026-6},
 location = {Chicago, IL, USA},
 pages = {6:1--6:4},
 articleno = {6},
 numpages = {4},
 url = {http://doi.acm.org/10.1145/3076246.3076252},
 doi = {10.1145/3076246.3076252},
 acmid = {3076252},
 publisher = {ACM},
 address = {New York, NY, USA},
}

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.

@article{Li2015EfficientDN,
  title={Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking},
  author={Ang Li and Feng Tang and Yanwen Guo and Hai Tao},
  journal={CoRR},
  year={2015},
  volume={abs/1509.08383}
}

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.

Press Coverage

Baidu Apollo Day: Expanded robotaxi operations and new autonomous driving software and hardware. Autonomous Driving International.
Baidu Announces Plan to Build the World's Largest Fully Driverless Ride-Hailing Service Area in 2023. PR Newswire.
DeepMind’s One Pass ImageNet: A New Benchmark for Resource Efficiency in Deep Learning. Synced Review
ETA Prediction with Graph Neural Networks in Google Maps (Paper Explained). The AI Epiphany.
An algorithm that evolved Starcraft bots is also training self-driving cars. MIT Technology Review
Waymo and DeepMind mimic evolution to develop a new, better way to train self-driving AI. TechCrunch
How evolutionary selection can train more capable self-driving cars. DeepMind Blog.
Using automated data augmentation to advance our Waymo Driver. Waymo Blog
How Google Maps uses DeepMind’s AI tools to predict your arrival time. The Verge.
DeepMind claims its AI improved Google Maps travel time estimates by up to 50%. VentureBeat
Traffic prediction with advanced Graph Neural Networks. DeepMind Blog
DeepMind’s AI uses aerial and ground-view data to navigate unseen areas. VentureBeat

Academic 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
- 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)