For full publication list, please go to my Google Scholar.

Book Chapter

• Machine-Learning Assisted StructureDetermination of Metallic Nanoparticles: A Benchmark. (PDF)
  Y. Lin, M. Topsakal, J. Timoshenko, D. Lu, S. Yoo, A. I. Frenkel.
  Handbook on Big Data and Machine Learning in the Physical Sciences, World Scientific Publishers, 2020.
  

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Papers

• Exploring Robust Features for Adversarial Robustness.
  H. Wang, Y. Deng, S. Yoo, Y. Lin*.
  IEEE Transactions on Cybernetics, 2024. (*corresponding author).
  


• Correlative single-cell x-ray tomography and x-ray fluorescence imaging.
  Z. Lin, X. Zhang, P. Nandi, Y. Lin, L. Wang, Y. Chu, T. Paape, Y. Yang, X. Xiao, Q. Liu.
  Communications Biology, 2024.
  


• Allosteric Regulation in SARS-CoV-2 Spike Protein.
  Y. Wei, A. Chen, Y. Lin, T. Wei, B. Qiao.
  Physical Chemistry Chemical Physics, 26, 6582–6589, 2024. (Featured as 2024 PCCP HOT Articles).
  


• Ultrafast Bragg Coherent Diffraction Imaging of Epitaxial Thin Films using Deep Complex-valued Neural Networks.
  X. Yu, L. Wu, Y. Lin, et al.
  npj Computational Materials, 10, 24, 2024.
  


• AesFA: An Aesthetic Feature-Aware Neural Style Transfer.
  J. Kwon, S. Kim, Y. Lin*, S. Yoo*, J. Cha*.
  AAAI Conference on Artificial Intelligence (AAAI). Vancouver, Canada. Feb. 2024. (*corresponding authors).
  


• Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection.
  H. Sun, L. Fu, J. Li, Q. Guo, Z. Meng, T. Zhang, Y. Lin*, H. Yu*.
  Winter Conference on Applications of Computer Vision (WACV). Waikoloa, Hawaii, Jan. 2024. (*corresponding authors).
  


• Coarse-to-fine Task-driven Inpainting for Geoscience Images.
  H. Sun, J. Ma, Q. Guo, Q. Zou, S. Song, Y. Lin*, H. Yu*.
  IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 2023. (*corresponding authors)
  


• Graphic Contrastive Learning Analyses of Discontinuous Molecular Dynamics Simulations: Study of Ubiquitin Adsorption on a Graphene Surface.
  Y. Wei, A. Chen, Y. Lin, T. Wei, S. Zheng.
  Applied Physics Letters, 122, 253701 (Editor's pick), 2023.
  


• Tansferable Adversarial Attack on 3D Object Tracking in Point Cloud.
  X. Liu, Y. Lin, Q. Yang, H. Fan.
  International Conference on MultiMedia Modeling, Jan. 2023.
  


• Deconvolution of Astronomical Images with Deep Neural Networks.
  H. Wang, S. Sreejith, Y. Lin, N. Ramachandra, A. Slosar, S. Yoo.
  NuerIPS AI4Science workshop, Dec. 2022.
  


• Galaxy deblending using residual dense neural networks.
  H. Wang, S. Sreejith, A. Slosar, Y. Lin, S. Yoo.
  Physical Review D, 106, 063023, 2022.
  


• End-to-end Orientation Estimation from Single Particle Cryo-EM Images.
  R. Lian, B. Huang, L. Wang, Q. Liu, Y. Lin, H. Ling.
  Acta Crystallographica Section D: Structural Biology, 2022.
  


• Point Adversarial Self Mining: A SimpleMethod for Facial Expression Recognition in the Wild. (paper)
  P. Liu, Y. Lin, Z. Meng, L. Lu, W. Deng, J. T. Zhou, Y. Yang.
  IEEE Transactions on Cybernetics, 52(12), 2022.
  


• AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillationand Bi-directional Metric Learning. (paper, code)
  H. Wang, Y. Deng, S. Yoo, H. Ling, Y. Lin* (* Corresponding author)
  IEEE/CVF International Conference on Computer Vision (ICCV) 2021
  


• Transparent Object Tracking Benchmark. (paper, code).
  H. Fan, H. Miththanthaya, Harshit, S. Rajan, X. Liu, Z. Zou, Y. Lin, H. Ling
  IEEE/CVF International Conference on Computer Vision (ICCV) 2021
  


• TracKlinic: Diagnosis of Challenge Factors in VisualTracking. (paper)
  H. Fan, F. Yang, P. Chu, L. Yuan, Y. Lin, H. Ling.
  IEEE Winter Conference on Applications of Computer Vision (WACV), 2021.
  


• Replicating Machine Learning Experiments in Materials Science. (paper)
  L. Pouchard, Y. Lin, H. Van Dam.
  Advances in Parallel Computing. Vol. 36, IOS Press, 2021.
  


• Improved Deep Hashing with Soft Pairwise Similarity forMulti-label Image Retrieval. (paper)
  Z. Zhang, Q. Zou,, Y. Lin, L. Chen, S. Wang.
  IEEE Transactions on Multimedia, 22(2), 2020.
  


• Interpreting Galaxy Deblender GAN from the Discriminator’s Perspective. (arXiv)
  H. Li, Y. Lin, K. Mueller, W. Xu.
  International Symposium on Visual Computing, 2020.
  


• Domain Adaptation for Convolutional Neural Networksbased Remote Sensing Scene Classification. (paper)
  S. Song, H. Yu, Z. Miao, Q. Zhang, Y. Lin, S. Wang.
  IEEE Geoscience and Remote Sensing Letters, 16(8), 2019
  


• An End-to-end Deep Convolutional Neural Network for a Multi-scale Image Matching and Localization Problem. (paper)
  S. Ha, Y. Lin, X. Huang, H. Yan, W. Xu.
  CVPR Workshop on Image Matching: Local Features& Beyond, 2019.
  


• Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain. (paper)
  Y. Lin, J. Chen, Y. Cao, Y. Zhou, L. Zhang, Y. Y. Tang, S. Wang.
  IEEE Transactions on Cybernetics 47(4), 2017.
  


• Visual-Attention Based Background Modeling for Detecting Infrequently Moving Objects. (paper)
  Y. Lin, Y. Tong, Y. Cao, Y. Zhou, S. Wang.
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 27(6), 2017.
  


• Supervised Machine-Learning-Based Determination of Three-Dimensional Structure of Metallic Nanoparticles. (paper)
  J. Timoshenko, D. Lu, Y. Lin, A. I. Frenkel.
  The Journal of Physical Chemistry Letters, 8(20), 2017.
  


• Learning View-Invariant Features for PersonIdentification in Temporally Synchronized Videos Taken by Wearable Cameras. (paper)
  K. Zheng, X. Fan, Y. Lin, H. Guo, H. Yu, D. Guo, S. Wang.
  IEEE International Conferenceon Computer Vision (ICCV), 2017.
  


• Groupwise Tracking of CrowdedSimilar-Appearance Targets from Low-Continuity Image Sequences. (paper)
  H. Yu, Y. Zhou, J. Simmons, C. Przybyla, Y. Lin, X. Fan, Y. Mi, S. Wang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  


• Co-interest Person Detection from Multiple Wearable Camera Videos. (paper)
  Y. Lin, K. Ezzeldeen, Y. Zhou, X. Fan, H. Yu, H. Qian, S. Wang.
  IEEE International Conference on Computer Vision (ICCV), 2015.


• Cross-Domain Recognition by Identifying Compact Joint Subspaces. (paper)
  Y. Lin, J. Chen, Y. Cao, Y. Zhou, L. Zhang, S. Wang.
  International Conference on Image Processing (ICIP), 2015. (Best 10% Paper Award)


• Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation. (paper)
  X. Fan, K. Zheng, Y. Lin, Song Wang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015.
  


• NNMap: A method to construct a good embedding for nearest neighbor classification. (paper)
  J. Chen, Y. Y. Tang, P. Chen, B. Fang, Z. Shang, Y. Lin.
  Neurocomputing, 152, pp.97-108, 2015.
  


• Video-based Action Detection using Multiple Wearable Cameras. (paper)
  K. Zheng*, Y. Lin*, Y. Zhou, D. Salvi, X. Fan, D. Guo, Z. Meng, and S. Wang. (* Co-first authors).
  ECCV Workshop on ChaLearn Looking at People, 2014.
  


• Multi-label Learning with Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction. (paper)
  J. Chen, Y. Y. Tang, P. Chen, B. Fang, Y. Lin, Z. Shang.
  IEEE Transactions on NanoBioscience, 13(4), pp. 438-447, 2014. (Front Cover Paper)
  


• Dual Fuzzy Hypergraph Regularized Multilabel Learning for Protein Subcellular Location Prediction. (paper)
  J. Chen, Y. Y. Tang, P. Chen, Y. Lin.
  International Conference on Pattern Recognition (ICPR), 2014.
  


• A Visual-Attention Model Using Earth Mover's Distance based Saliency Measurement and Nonlinear Feature Combination. (paper)
  Y. Lin, Y. Y. Tang, B. Fang, Z. Shang, Y. Huang, S. Wang.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35(2), pp. 314-328, 2013.
  


• Recognize Human Activities from Partially Observed Videos. (paper)
  Y. Cao, D. Barrett, A. Barbu, S. Narayanaswamy, H. Yu, A. Michaux, Y. Lin, S. Dickinson, J. Siskind, S. Wang.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, 2013.
  


• Visual saliency detection with center shift. (paper)
  W. Yang, Y.Y. Tang, B. Fang, Z. Shang, Y. Lin.
  Neurocomputing, 103(1), pp.63-74, 2013.
  


• A Computational Model for Saliency Maps by Using Local Entropy. (paper)
  Y. Lin, B. Fang, Y. Tang.
  AAAI Conference on Artificial Intelligence (AAAI), Atlanta, 2010.
  

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Copyright Notice: The papers presented above are to ensure timely dissemination of scholarly and technical work and only for personal or classroom use. Copyright and all rights therein are retained by authors and/or by other copyright holders.

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