Publication

2020

• The Effectiveness of Memory Replay in Large Scale Continual Learning [ PDF ] [ bibtex ]
  Yogesh Balaji, Mehrdad Farajtabar, Dong Yin, Alex Mott, Ang Li
  ArXiv 2020.
  

  
  @misc{yang2020learning,
      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}
  }
                                  

• Learning to Incentivize Other Learning Agents [ PDF ] [ bibtex ] [ code ]
  Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes and Hongyuan Zha
  NeurIPS 2020.
  - AAMAS 2020 Adaptive and Learning Agents (ALA) Workshop.

  
  @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 [ PDF ] [ bibtex ]
  Dong Yin, Mehrdad Farajtabar, Ang Li
  ArXiv 2020.
  - ICML 2020 Workshop on Continual Learning.

  
  @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 [ PDF ] [ bibtex ]
  Ang Li, Meghana Thotakuri, David A. Ross, Joao Carreira, Alexander Vostrikov, Andrew Zisserman
  ArXiv 2020.

  
  @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 [ PDF ] [ Bibtex ]
  Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo
  ECCV 2020 (Oral).

  
  @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 [ PDF ] [ bibtex ]
  Zelun Kong, Junfeng Guo, Ang Li, Cong Liu
  CVPR 2020.

  
  @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 [ PDF ] [ Bibtex ]
  Mehrdad Farajtabar, Navid Azizan, Alex Mott, Ang Li
  AISTATS 2020
  

  
  @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 [ PDF ] [ Bibtex ]
  Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
  ICLR 2020
  - Poster at BayLearn 2019.

  
  @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 [ PDF ] [ Bibtex ]
  Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh
  AAAI 2020.
  - Poster at BayLearn 2019

  
  @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}
  }
                              

2019

• Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing
  Ge Liu, Heng-Tze Cheng, Rui Wu, Jing Wang, Jayiden Ooi, Lihong Li, Ang Li, Sibon Li, Craig Boutilier.
  - NeurIPS 2019 Deep Reinforcement Learning Workshop, Vancouver, BC.
  - NeurIPS 2019 Optimization Foundations for Reinforcement Learning Workshop, Vancouver, BC.
• Cross-View Policy Learning for Street Navigation [ PDF ] [ Bibtex ]
  Ang Li*, Huiyi Hu*, Piotr Mirowski, Mehrdad Farajtabar
  ICCV 2019.
  - Short paper at ICML 2019 Multitask and Lifelong RL workshop, Long Beach, CA.
  - Poster at BayLearn 2019.

@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}
}

• Layout-induced Video Representation for Recognizing Agent-in-Place Actions [ PDF ] [ Bibtex ]
  Ruichi Yu, Hongcheng Wang, Ang Li, Jingxiao Zheng, Vlad I. Morariu, Larry S. Davis
  ICCV 2019.
  - Poster at BayLearn 2019.

  @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}
  }
                              

• A Generalized Framework for Population Based Training [ PDF ] [  Youtube  ] [ Bibtex ]
  Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
  KDD 2019.
  - Short paper at NeurIPS 2018 Workshop on Systems for ML, Montréal, Canada.

  @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}
  }
  

• Improving Open Set Domain Adaptation Using Image-to-Image Translation
  Hongjie Zhang, Ang Li, Xu Han, Zhaoming Chen, Yang Zhang, Yanwen Guo
  ICME 2019.
• SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning [ PDF ]
  Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi
  AAAI 2019, Honolulu, Hawaii.

2018

• C-WSL: Count-guided Weakly Supervised Localization [ PDF ] [ Bibtex ]
  Mingfei Gao, Ang Li, Ruichi Yu, Vlad I. Morariu, Larry S. Davis
  ECCV 2018, Munich, Germany.
  

  @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 [ PDF ] [ Bibtex ]
  Ruichi Yu, Ang Li, Chun-Fu Chen, Jui-Hsin Lai, Vlad I. Morariu, Xintong Han, Mingfei Gao, Ching-Yung Lin, Larry S. Davis
  CVPR 2018, Salt Lake City, Utah.
  

  @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 [ PDF ] [ Bibtex ]
  Mingfei Gao, Ruichi Yu, Ang Li, Vlad I. Morariu, Larry S. Davis
  CVPR 2018, Salt Lake City, Utah.
  

  @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}
  }
                                              

2017

• Learning Visual N-Grams from Web Data [ PDF ] [ Bibtex ]
  Ang Li, Allan Jabri, Armand Joulin and Laurens van der Maaten
  ICCV 2017, Venice, Italy.
  - Invited talk at ICCV 2017 Workshop on Web-Scale Vision and Social Media on October 23, 2017.
• Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation [ PDF ] [ Bibtex ]
  Ruichi Yu, Ang Li, Vlad I. Morariu and Larry S. Davis
  ICCV 2017, Venice, Italy.
• Generating Holistic 3D Scene Abstractions for Text-based Image Retrieval [ PDF ] [ Poster ] [ Data ] [ Code ] [ Bibtex ]
  Ang Li, Jin Sun, Joe Yue-Hei Ng, Ruichi Yu, Vlad I. Morariu and Larry S. Davis
  CVPR 2017, Honolulu, Hawaii.
  - Invited poster at CVPR 2017 Vision meets Cognition Workshop on July 21, 2017.
  - Invited poster at CVPR 2017 Bridges to 3D Workshop on July 26, 2017.
  
• Towards Unified Data and Lifecycle Management for Deep Learning [ PDF ] [ ArXiv ] [ Page ] [ Bibtex ]
  Hui Miao, Ang Li, Larry S. Davis and Amol Deshpande
  ICDE 2017, San Diego, CA.
  
• On Model Discovery For Hosted Data Science Projects [ PDF ] [ Bibtex ]
  Hui Miao, Ang Li, Larry S. Davis and Amol Deshpande
  SIGMOD Workshop on Data Management for End-to-End Machine Learning (DEEM), Chicago, 2017. Short paper.

  @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},
  } 
                                                                  

• ModelHub: Deep Learning Lifecycle Management [ PDF ]
  Hui Miao, Ang Li, Larry S. Davis and Amol Deshpande
  IEEE International Conference on Data Engineering (ICDE), San Diego, CA, 2017. Demonstration track.

2015

• Selective Encoding for Recognizing Unreliably Localized Faces [ PDF ] [ Spotlight Video ] [ Poster ] [ Code ] [ Bibtex ]
  Ang Li, Vlad I. Morariu and Larry S. Davis
  ICCV 2015, Santiago, Chile.
• Efficient Discriminative Nonorthogonal Binary Subspace with its Application to Visual Tracking [ PDF ] [ Bibtex ]
  Ang Li, Feng Tang, Yanwen Guo and Hai Tao
  ArXiv, 2015. Extended version to (Li et al., ECCV 2010)

  @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}
  }
                                                                          

2014

• Planar Structure Matching Under Projective Uncertainty for Geolocation [ PDF ] [ Appendix ] [ Video ] [ Poster ] [ Dataset ] [ Bibtex ]
  Ang Li, Vlad I. Morariu and Larry S. Davis
  ECCV 2014, Zurich, Switzerland.
• Analysis of the Weight Function for Implicit Moving Least Squares Techniques [ PDF ] [ Bibtex ]
  Zhujun Yao, Ang Li, Stephen Mann
  Technical report, 2014.

  @article{Yao2014imls,
    title={Analysis of the Weight Function for Implicit Moving Least Squares Techniques},
    author={Zhujun Yao and Ang Li and Stephen Mann},
    journal={Technical Report},
    year={2014}
  }
                                                                                  

2013

• Object Tracking Using Learned Feature Manifolds [ PDF ] [ Link ] [ Page ] [ Bibtex ]
  Yanwen Guo, Ye Chen, Feng Tang, Ang Li, Weitao Luo, and Mingming Liu
  CVIU 2013.

2012

• Bag of Textons for Image Segmentation via Soft Clustering and Convex Shift [ PDF ] [ Bibtex ]
  Zhiding Yu, Ang Li, Oscar C. Au and Chunjing Xu
  CVPR 2012, Providence, RI.

2010

• Discriminative Nonorthogonal Binary Subspace Tracking [ PDF ] [ Poster ] [ Spotlight ] [ Bibtex ]
  Ang Li, Feng Tang, Yanwen Guo and Hai Tao
  ECCV 2010, Hersonissos, Greece.
  

Professional Service

• Journal Reviewer:
  • IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI) 2019, 2020
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2020
  • IEEE Transaction on Image Processing (TIP) 2017
  • The Visual Computer Journal (TVCJ) 2016
  • SPIE Journal of Electronic Imaging (JEI) 2014, 2016, 2018, 2019
  • IEEE Transaction on Cybernetics 2014
  • Robotics and Autonomous Systems 2018
  • Machine Learning 2019
• Session Chair:
  • International Joint Conference on Artificial Intelligence (IJCAI) 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 or Reviewer:
  • International Conference on Learning Representations (ICLR) 2018, 2019, 2020
  • Annual Conference on Neural Information Processing Systems (NeurIPS) 2017, 2018, 2019
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2018, 2019
  • International Conference on Machine Learning (ICML) 2017, 2018, 2019
  • IEEE International Conference on Computer Vision (ICCV) 2015, 2017, 2019
  • European Conference on Computer Vision (ECCV) 2018
  • International Joint Conference on Artificial Intelligence (IJCAI) 2019
  • International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, 2020
  • Asian Conference on Computer Vision (ACCV) 2018
  • Asian Conference on Machine Learning (ACML) 2019
  • Winter Conference on Computer Vision (WACV) 2020
  • IEEE International Conference on Biometrics (BTAS) 2012, 2015
  • ACM International Conference on Multimedia (MM) 2014