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Yixuan (Sharon) Li

Pronounced as e-shwen

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My Publications

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Conference Publications/Preprints

  • Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten
    Exploring the Limits of Weakly Supervised Pretraining
    In proceedings of European Conference on Computer Vision (ECCV), 2018.
    [BibTeX] [PDF] [Blob Post]

    @article{mahajan2018exploring,
    title={Exploring the Limits of Weakly Supervised Pretraining},
    author={Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens},
    journal={arXiv preprint arXiv:1805.00932},
    year={2018}
    }
    
  • Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant,
    Understanding the Loss Surface of Neural Networks for Binary Classification
    In Proceedings of International Conference on Machine Learning (ICML), 2018.
    [BibTeX] [PDF]

    @inproceedings{liang2018understanding,
      author = {Shiyu Liang, Ruoyu Sun, Yixuan Li, R. Srikant},
      title = {Understanding the Loss Surface of Neural Networks for Binary Classification},
      booktitle = {International Conference on Machine Learning (ICML)},
      year = {2018}
    }
    
  • Shiyu Liang, Yixuan Li, R. Srikant
    Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
    In proceedings of the 6th International Conference on Learning Representations (ICLR), 2018.
    [BibTeX] [PDF]

    @article{liang2017enhancing,
      title={Enhancing the reliability of out-of-distribution image detection in neural networks},
      author={Liang, Shiyu and Li, Yixuan and Srikant, R},
      journal={International Conference on Learning Representations (ICLR)},
      year={2018}
    }
    
  • Gao Huang*, Yixuan Li*, Geoff Pleiss, Zhuang Liu, John Hopcroft and Kilian Weinberger
    Snapshot Ensembles: Train 1, Get M for Free
    In proceedings of the 5th International Conference on Learning Representations (ICLR), 2017.
    * indicates equal contribution
    [BibTeX] [PDF] [Code]

    @article{huang2017snapshot,
      title={Snapshot ensembles: Train 1, get M for free},
      author={Huang, Gao and Li, Yixuan and Pleiss, Geoff and Liu, Zhuang and Hopcroft, John E and Weinberger, Kilian Q},
      journal={International Conference on Learning Representations (ICLR)},
      year={2017}
    }
    
  • Xun Huang, Yixuan Li,Omid Poursaeed, John Hopcroft, and Serge Belongie
    Stacked Adversarial Generative Networks
    In proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
    [BibTeX] [PDF] [Code]

    @inproceedings{huang2017stacked,
      title={Stacked Generative Adversarial Networks.},
      author={Huang, Xun and Li, Yixuan and Poursaeed, Omid and Hopcroft, John E and Belongie, Serge J},
      booktitle={CVPR},
      volume={2},
      pages={3},
      year={2017}
    }
    
  • Yixuan Li, Pingmei Xu, Dmitry Lagun and Vidhya Navalpakkam
    Towards Measuring and Inferring User Interest From Gaze
    In Proceedings of the 26th international conference on World Wide Web (WWW), 2017
    [BibTeX] [PDF]

    @inproceedings{li2017towards,
      title={Towards measuring and inferring user interest from gaze},
      author={Li, Yixuan and Xu, Pingmei and Lagun, Dmitry and Navalpakkam, Vidhya},
      booktitle={Proceedings of the 26th International Conference on World Wide Web Companion},
      pages={525--533},
      year={2017},
      organization={International World Wide Web Conferences Steering Committee}
    }
    
  • Jacob Gardner, Paul Upchurch, Matt Kusner, Yixuan Li, Kilian Weinberger, Kavita Bala and John Hopcroft
    Deep Manifold Traversal: Changing Labels with Convolutional Features
    arXiv cs.LG/1511.06421, 2016
    [BibTeX] [PDF]

    @article{gardner2015deep,
      title={Deep manifold traversal: Changing labels with convolutional features},
      author={Gardner, Jacob R and Upchurch, Paul and Kusner, Matt J and Li, Yixuan and Weinberger, Kilian Q and Bala, Kavita and Hopcroft, John E},
      journal={arXiv preprint arXiv:1511.06421},
      year={2015}
    }
    
  • Yixuan Li, Jason Yosinski, Jeff Clune, John Hopcroft, and Hod Lipson
    Convergent Learning: Do different neural networks learn the same representations?
    In proceedings of the 4th International Conference on Learning Representation (ICLR), 2016
    Oral Presentation, Acceptance Ratio: 5.7%
    [BibTeX] [PDF] [Code]

    @inproceedings{li2015convergent,
      title={Convergent learning: Do different neural networks learn the same representations?},
      author={Li, Yixuan and Yosinski, Jason and Clune, Jeff and Lipson, Hod and Hopcroft, John E},
    	booktitle = {International Conference on Learning Representations (ICLR)},
      year={2016}
    }
    
  • Yixuan Li, Oscar Martinez, Xing Chen, Yi Li and John Hopcroft
    In a World that Counts: Clustering and Detecting Fake Social Engagement at Scale
    In proceedings of the 25th international conference on World Wide Web (WWW), 2016
    [BibTeX] [PDF] [Press]

    @inproceedings{li2016world,
      title={In a world that counts: Clustering and detecting fake social engagement at scale},
      author={Li, Yixuan and Martinez, Oscar and Chen, Xing and Li, Yi and Hopcroft, John E},
      booktitle={Proceedings of the 25th International Conference on World Wide Web},
      pages={111--120},
      year={2016},
      organization={International World Wide Web Conferences Steering Committee}
    }
    
  • Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang and John Hopcroft
    The Lifecycle and Cascade of Social Messaging Groups
    In proceedings of the 25th international conference on World Wide Web (WWW), 2016
    [BibTeX] [PDF]

    @inproceedings{qiu2016lifecycle,
    title={The lifecycle and cascade of wechat social messaging groups},
    author={Qiu, Jiezhong and Li, Yixuan and Tang, Jie and Lu, Zheng and Ye, Hao and Chen, Bo and Yang, Qiang and Hopcroft, John E},
    booktitle={Proceedings of the 25th International Conference on World Wide Web},
    pages={311--320},
    year={2016},
    organization={International World Wide Web Conferences Steering Committee}
    }
    
  • Kyle Kloster, Yixuan Li
    Scalable and Robust Local Community Detection via Adaptive Subgraph Extraction and Diffusions
    Preprint on arXiv., 2013
    [BibTeX] [PDF]

    @article{kloster2016scalable,
      title={Scalable and Robust Local Community Detection via Adaptive Subgraph Extraction and Diffusions},
      author={Kloster, Kyle and Li, Yixuan},
      journal={arXiv preprint arXiv:1611.05152},
      year={2016}
    }
    
  • Yixuan Li, Kun He, David Bindel and John Hopcroft
    Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach
    In proceedings of the 24th International Conference on World Wide Web (WWW), 2015
    (acceptance ratio: 14.1%)
    [BibTeX] [PDF]

    @inproceedings{li2015uncovering,
      title={Uncovering the small community structure in large networks: A local spectral approach},
      author={Li, Yixuan and He, Kun and Bindel, David and Hopcroft, John E},
      booktitle={Proceedings of the 24th international conference on world wide web},
      pages={658--668},
      year={2015},
      organization={International World Wide Web Conferences Steering Committee}
    }
    
  • Kun He, Yiwei Sun, David Bindel and John Hopcroft, Yixuan Li
    Detecting Overlapping Communities from Local Spectral Subspaces
    In proceedings of the International Conference on Data Mining (ICDM), 2015
    [BibTeX] [PDF]

    @inproceedings{he2015detecting,
      title={Detecting overlapping communities from local spectral subspaces},
      author={He, Kun and Sun, Yiwei and Bindel, David and Hopcroft, John and Li, Yixuan},
      booktitle={Data Mining (ICDM), 2015 IEEE International Conference on},
      pages={769--774},
      year={2015},
      organization={IEEE}
    }
    

Journal Publications

  • Yixuan Li,Kun He,Kyle Kloster,David Bindel, and John Hopcroft
    Local spectral clustering for overlapping community detection
    In ACM Transactions on Knowledge Discovery from Data (TKDD), 2017.
    [BibTeX] [PDF]

    @article{li2018local,
      title = {Local spectral clustering for overlapping community detection},
      author = {Li, Yixuan and He, Kun and Kloster, Kyle and Bindel, David and Hopcroft, John},
      journal = {ACM Transactions on Knowledge Discovery from Data (TKDD)},
      volume = {12},
      number = {2},
      pages = {17},
      year = {2018},
      publisher = {ACM}
    }
    
  • J. Zhang, Yixuan Li, Z. Liu, F. Wu,F. Yang, and X. Wang
    On Multicast Capacity and Delay in Cognitive Radio Mobile Ad-hoc Networks IEEE Transactions on Wireless Communications (TWC), 2015.
    [BibTeX] [PDF]

    @article{zhang2015multicast,
    title={On multicast capacity and delay in cognitive radio mobile ad hoc networks},
    author={Zhang, Jinbei and Li, Yixuan and Liu, Zhuotao and Wu, Fan and Yang, Feng and Wang, Xinbing},
    journal={IEEE Transactions on Wireless Communications},
    volume={14},
    number={10},
    pages={5274--5286},
    year={2015},
    publisher={IEEE}
    }
    
  • Yixuan Li,Qiuyu Peng, and Xinbing Wang
    Multicast Capacity With Max-Min Fairness for Heterogeneous Networks
    In IEEE/ACM Transactions on Networking (TON), 2014,
    [BibTeX] [PDF]

    @article{li2014multicast,
    title={Multicast capacity with max-min fairness for heterogeneous networks},
    author={Li, Yixuan and Peng, Qiuyu and Wang, Xinbing},
    journal={IEEE/ACM Transactions on Networking (TON)},
    volume={22},
    number={2},
    pages={622--635},
    year={2014},
    publisher={IEEE Press}
    }
    

Workshop papers and Manuscripts

  • Shiyu Liang, Ruoyu Sun, Yixuan Li, R.Srikant
    Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification
    Workshop in International Conference on Learning Representation (ICLR Workshop), 2018
    [BibTeX] [PDF]

    	@article{liang2018understanding,
    		title={Understanding the Loss Surface of Single-Layered Neural Networks for Binary Classification},
    		author={Liang, Shiyu and Sun, Ruoyu and Li, Yixuan and Srikant, R},
    		year={2018}
    	}
    
  • Yixuan Li, Shuang Li, Matt Kusner, Karthik Sridharan, Kilian Weinberger and John Hopcroft
    Subspace Ensemble Networks
    Manuscript, 2016,

  • Yixuan Li, Jason Yosinski, Jeff Clune, John Hopcroft and Hod Lipson
    Convergent Learning: Do different neural networks learn the same representations?
    NIPS Workshop on Feature Extraction: Modern Questions and Challenges, 2015.
    (Selected oral presentation: 6.7%)
    [BibTeX] [PDF]

    	@inproceedings{li2015convergent_b,
    	  title={Convergent learning: Do different neural networks learn the same representations?},
    	  author={Li, Yixuan and Yosinski, Jason and Clune, Jeff and Lipson, Hod and Hopcroft, John E},
    	  booktitle={FE@ NIPS},
    	  pages={196--212},
    	  year={2015}
    	}
    

Submitted

  • Abhinmanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li and Dhruv Mahajan
    Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search
    Submitted, 2018.

Thesis

  • PhD thesis
    Representation Learning for Web Intelligence
    Cornell University, December, 2017
    [BibTeX] [PDF]

    @phdthesis{li2017representation,
      title={Representation Learning for Web Intelligence},
      author={Li, Yixuan},
      year={2017},
      school={Cornell University}
    }