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<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">
<head>
<meta name="generator" content="jemdoc, see http://jemdoc.jaboc.net/" />
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" href="css/jemdoc.css" type="text/css">
<title>Chao Chen</title>
</head>
<body>
<table summary="Table for page layout." id="tlayout">
<tbody><tr valign="top">
<td id="layout-menu">
<div class="menu-category"><img class="menu" src="images/ChaoChen-Profile-tiny.png" width="100px" align="center"></div>
<div class="menu-item"><a href="index.html">Home</a></div>
<div class="menu-item"><a href="research.html">Research</a></div>
<div class="menu-item"><a href="publication.html" class="current">Publications</a></div>
<div class="menu-item"><a href="teaching.html">Teaching</a></div>
<!-- <div class="menu-item"><a href="talk.html">Talks</a></div> -->
<!-- <div class="menu-item"><a href="service.html">Service</a></div> -->
<!-- <div class="menu-item"><a href="https://www.uclaml.org">Group</a></div> -->
</td>
<!-- ==================================================================================================== -->
<td id="layout-content">
<div id="toptitle">
<h1>Chao Chen</h1> <!-- <p><i><a href="https://www.howtopronounce.com/quanquan">pronunciation</a></i></p> -->
<br>
<div id="subtitle">Assistant Professor</div>
<div id="subtitle">Department of <a href="https://bmi.stonybrookmedicine.edu/"><u>Biomedical Informatics</u></a></div>
<div id="subtitle">Also affiliated with <a href="https://www.cs.stonybrook.edu/"><u>Computer Science</u></a></div>
<div id="subtitle">and <a href="https://www.stonybrook.edu/commcms/ams/"><u>Applied Mathematics & Statistics</u></a></div>
<div id="subtitle"><a href="https://www.stonybrook.edu/"><u>Stony Brook University</u></a></div>
<div id="subtitle"><a href="http://www.ucla.edu">Stony Brook, NY 11794-8322</a></div>
</div>
<!-- ==================================================================================================== -->
<!-- **************************************************************************************************** -->
<h2>Conferences</h2>
<ul>
<li>
<p>
Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, <b>Chao Chen</b>: "Topological Detection of Trojaned Neural Networks", in <i>the Thirty-fifth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</i>, 2021, (acceptance rate 26%)
</p>
</li>
<li>
<p>
Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee,Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, <b>Chao Chen</b>: "Multi-Class Cell Detection Using Spatial Context Representation", in <i>International Conference on Computer Vision (<b>ICCV</b>)</i>, 2021 (Oral, acceptance rate 3%)
</p>
</li>
<li>
<p>
Jiaqi Yang, Xiaoling Hu, <b>Chao Chen</b>, Chialing Tsai: "A Topological-Attention ConvLSTM Network and Its Application to EM Images", in <i>the 24th International Conference on Medical Image Computing & Computer Assisted Intervention (<b>MICCAI</b>)</i>, 2021 (acceptance rate 32.7%)
</p>
</li>
<li>
<p>
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang and <b>Chao Chen</b>: "Persistence Homology for Link Prediction: An Interactive View",
in <i>International Conference on Machine Learning (<b>ICML</b>)</i>, 2021 (acceptance rate 21.5%, <b><a href="https://arxiv.org/abs/2102.10255" title="">paper</a></b>)
</p>
</li>
<li>
<p>
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, and <b>Chao Chen</b>: "TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer",
in <i>international conference on Information Processing in Medical Imaging (<b>IPMI</b>)</i>, 2021
</p>
</li>
<li>
<p>
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, <b>Chao Chen</b>, Joel Saltz, Prateek Prasanna: "Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network",
in <i>Medical Imaging with Deep Learning(<b>MIDL</b>)</i>, 2021
</p>
</li>
<li>
<p>
Xiaoling Hu, Yusu Wang, Li Fuxin, Dimitris Samaras, <b>Chao Chen</b>: "Topology-Aware Segmentation Using Discrete Morse Theory", in <i>the Nineth International Conference on Learning Representations(<b>ICLR</b>)</i>, 2021, (Spotlight, acceptance rate for spotlight+oral = 5.6%)
</p>
</li>
<li>
<p>
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, <b>Chao Chen</b>: "Learning with feature dependent label noise: a progressive approach", in <i>the Nineth International Conference on Learning Representations(<b>ICLR</b>)</i>, 2021, (Spotlight, acceptance rate for spotlight+oral = 5.6%)
</p>
</li>
<li>
<p>
Jiaqi Yang, Xiaoling Hu, <b> Chao Chen </b>, Chia-Ling Tsai: "3D Topology-Preserving Segmentation with Compound Multi-Slice Representation", in <i>IEEE International Symposium on Biomedical Imaging (<b>ISBI</b>)</i>, 2021
</p>
</li>
<li>
<p>
Shahira Abousamra, Minh Hoai Nguyen, Dimitris Samaras, <b>Chao Chen</b>: "Localization in the Crowd with Topological Constraints", in <i>The 35th AAAI Conference in Artificial Intelligence (<b>AAAI</b>)</i>, 2021, (acceptance rate 21%)
</p>
</li>
<li>
<p>
Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris Metaxas, <b>Chao Chen</b>: "A Topological Filter for Learning with Label Noise", in <i>the Thirty-fourth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</i>, 2020, (acceptance rate 20.1%)
</p>
</li>
<li>
<p>
Jialin Yuan, <b>Chao Chen</b>, Li Fuxin: "Deep Variational Instance Segmentation", in <i>the Thirty-fourth Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</i>, 2020, (acceptance rate 20.1%)
</p>
</li>
<li>
<p>
Cong Chen, Jiaqi Yang, <b>Chao Chen</b> and Changhe Yuan: "Solving Multiple Inference by Minimizing Expected Loss", in <i>the 10th international conference on probabilistic graphical models (<b>pgm</b>)</i>, 2020.
</p>
</li>
<li>
<p>
Cong Chen, Changhe Yuan, <b>Chao Chen</b>: "efficient heuristic search for m-modes inference", in <i>the 10th international conference on probabilistic graphical models (<b>pgm</b>)</i>, 2020.
</p>
</li>
<li>
<p>
Fan Wang, Huidong Liu, Dimitris Samaras, <b>Chao Chen</b>: "TopoGAN: A Topology-Aware Generative Adversarial Network",
in <i>European Conference on Computer Vision(<b>ECCV</b>)</i>, 2020, (<b><a href="publications/TopoGAN.pdf" title="">paper</a></b>, <b><a href="publications/TopoGAN_suppl.pdf" title="">supplemental material</a></b>, Oral, acceptance rate 2.1%).
</p>
</li>
<li>
<p>
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, <b>Chao Chen</b>, Dimitris Metaxas: "Learn distributed GAN with Temporary Discriminators",
in <i>European Conference on Computer Vision(<b>ECCV</b>)</i>, 2020, (acceptance rate 27.1%).
</p>
</li>
<li>
<p>
Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris Metaxas, <b>Chao Chen</b>: "Error-Bounded Correction of Noisy Labels",
in <i>International Conference on Machine Learning (<b>ICML</b>)</i>, 2020, (acceptance rate 21.8%).
</p>
</li>
<li>
<p>
Andrew Aukerman, Mathieu Carrière, <b>Chao Chen</b>, Kevin Gardner, Raúl Rabadán, Rami Vanguri: "Persistent Homology Based Characterization ofthe Breast Cancer Immune Microenvironment: A Feasibility Study",
in <i>International Symposium on Computational Geometry (<b>SoCG</b>)</i>, 2020.
</p>
</li>
<li>
<p>
Qi Chang, Hui Qu, Yikai Zhang, Mert Sabuncu, <b >Chao Chen</b>, Tong Zhang, Dimitris Metaxas: "Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data", in <i>IEEE Conference on Computer Vision and Pattern Recognition (<b>CVPR</b>)</i>, 2020, (acceptance rate 22.1%).
</p>
</li>
<li>
<p>
Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin Kurc, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel Saltz, <b >Chao Chen</b>: "Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images", in <i>IEEE International Symposium on Biomedical Imaging (<b>ISBI</b>)</i>, 2020
</p>
</li>
<li>
<p>
Qi Zhao, Ze Ye, Yusu Wang, <b>Chao Chen</b>: "Persistence Enhanced Graph Neural Network",
in <i>International Conference on Artificial Intelligence and Statistics (<b>AISTATS</b>)</i>, 2020
</p>
</li>
<li>
<p>
Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, <b>Chao Chen</b>: "Curvature Graph Network", in <i>the Eighth International Conference on Learning Representations(<b>ICLR</b>)</i>, 2020, (<b><a href="https://openreview.net/pdf?id=BylEqnVFDB" title="">pdf</a></b>, <b><a href="https://github.com/yeze16159/CurvGN" title="">code</a></b>, acceptance rate 26.5%).
</p>
</li>
<li>
<p>
Yikai Zhang, Hui Qu, Dimitris Metaxas, <b>Chao Chen</b>: "Local Regularizer Improves Generalization", in <i>The 34th AAAI Conference in Artificial Intelligence (<b>AAAI</b>)</i>, 2020, (acceptance rate 20.6%)
</p>
</li>
<li>
<p>
Xiaoling Hu, Fuxin Li, Dimitris Samaras, <b>Chao Chen</b>: "Topology-Preserving Deep Image Segmentation", in <i>the Thirty-third Conference on Neural Information Processing Systems (<b>NeurIPS</b>)</i>, 2019, (acceptance rate 21.2%)
</p>
</li>
<li>
<p>
Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, <b>Chao Chen</b>: "Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm", in <i>The 28th ACM International Conference on Information and Knowledge Management (<b>CIKM</b>)</i>, 2019
</p>
</li>
<li>
<p>
Ze Ye, Cong Chen, Changhe Yuan, <b>Chao Chen</b>: "Diverse Multiple Prediction on Neural Image Reconstruction", in <i>the 22st International Conference on Medical Image Computing & Computer Assisted Intervention (<b>MICCAI</b>)</i>, 2019, (Early Acceptance)
<!--, (acceptance rate 25.46%) (<b><a href="publications/ni_icml_2017.pdf" title="">pdf</a></b>)-->
</p>
</li>
<li>
<p>
Yikai Zhang, Hui Qu, <b>Chao Chen</b>, Dimitris Metaxas:"Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes",
in <i>the 28th International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</i>, 2019, (acceptance rate 17.9%)
</p>
</li>
<li>
<p>
Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris Metaxas, <b>Chao Chen</b>: "Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction",
in <i>the 28th International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</i>, 2019, (acceptance rate 17.9%)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Xiuyan Ni, Qinxun Bai, Yusu Wang: "A Topological Regularizer for Classifiers via Persistent Homology",
in <i>International Conference on Artificial Intelligence and Statistics (<b>AISTATS</b>)</i>, 2019
</p>
</li>
<li>
<p>
Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, <b>Chao Chen</b>, Dimitris Metaxas: "Deep Attentive Feature Learning for Histopathology Image Classification",
in <i>IEEE International Symposium on Biomedical Imaging (<b>ISBI</b>)</i>, 2019
</p>
</li>
<li>
<p>
Pengxiang Wu, <b>Chao Chen</b>, Jingru Yi, Dimitris Metaxas: "Point Cloud Processing via Recurrent Set Encoding", in <i>The 33rd AAAI Conference in Artificial Intelligence (<b>AAAI</b>)</i>, 2019, (acceptance rate 16.2%)
<!-- <b><a href="publications/wu_aaai_2019.pdf" title="">pdf</a></b>) -->
</p>
</li>
<li>
<p>
Cong Chen, Changhe Yuan, Ze Ye, <b>Chao Chen</b>: "Solving M-Modes in Loopy Graphs Using Tree Decompositions", in <i>The 9th International Conference on Probabilistic Graphical Models (<b>PGM</b>)</i>, 2018.
<!--, (acceptance rate 25.46%) (<b><a href="publications/ni_icml_2017.pdf" title="">pdf</a></b>)-->
</p>
</li>
<li>
<p>
Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, <b>Chao Chen</b>: "A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing", in <i>the 21st International Conference on Medical Image Computing & Computer Assisted Intervention (<b>MICCAI</b>)</i>, 2018, (Oral Presentation, Acceptance Rate 4%).
<!--, (acceptance rate 25.46%) (<b><a href="publications/ni_icml_2017.pdf" title="">pdf</a></b>)-->
</p>
</li>
<li>
<p>
Xiuyan Ni, Novi Quadrianto, Yusu Wang, <b>Chao Chen</b>: "Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data",
in <i> the 34rd International Conference on Machine Learning (<b>ICML</b>)</i>, 2017, (acceptance rate 25.46%)
(<b><a href="publications/ni_icml_2017.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Pengxiang Wu, <b>Chao Chen</b>, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris Metaxas, Leon Axel: "Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration",
in <i> the 25th biennial international conference on Information Processing in Medical Imaging (<b>IPMI</b>)</i>, 2017,
(Oral presentation, acceptance rate 14.32%, <b><a href="publications/wu_ipmi_2017.pdf" title="">pdf</a></b>, <b><a href="https://github.com/astrolagrange/Persistent-Homology-Localization-Algorithms" title="">code</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Dimitris Metaxas, Yusu Wang, Pengxiang Wu: "Cardiac Trabeculae Segmentation, an Application of Computational Topology",
in <i>the 33rd International Symposium on Computational Geometry (<b>SoCG</b>): Multimedia Session</i>, 2017,
(<b><a href="publications/chen_socg_2017.pdf" title="">pdf</a></b>, <b><a href="https://www.youtube.com/watch?v=K78iP0_mqP0" title="">video</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Novi Quadrianto: "Clustering High Dimensional Categorical Data via Topographical Features",
in <i> the 33rd International Conference on Machine Learning (<b>ICML</b>)</i>, 2016, (acceptance rate 24.26%)
(<b><a href="http://proceedings.mlr.press/v48/chenc16.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Cong Chen, Changhe Yuan, <b>Chao Chen</b>: "Solving M-Modes Using Heuristic Search",
in <i>the 25th International Joint Conference on Artificial Intelligence (<b>IJCAI</b>)</i>, 2016
(<b><a href="http://url.cs.qc.cuny.edu/publications/Chen16solving.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Scott Kulp, <b>Chao Chen</b>, Dimitris Metaxas, Leon Axel: "Ventricular blood flow analysis using topological methods",
in <i>International Symposium on Biomedical Imaging (<b>ISBI</b>)</i>, 2015
(<b><a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7163960" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Han Liu, Dimitris Metaxas, Tianqi Zhao: "Mode Estimation for High Dimensional Discrete Tree Graphical Models",
in <i>Advances in Neural Information Processing Systems (<b>NIPS</b>)</i>, 2014 (Spotlight oral, acceptance rate ~5%, <b><a href="publications/chen_nips_2014.pdf" title="">pdf</a></b>, technical report available soon)
</p>
</li>
<li>
<p>
Mustafa Uzunbas, <b>Chao Chen</b>, Dimitris Metaxas: "Optree: a Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation",
in <i>the 17th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (<b>MICCAI</b>)</i>, 2014. (Early acceptance rate ~10%,
<b><a href="publications/chen_miccai_2014.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Mingchen Gao, <b>Chao Chen</b>, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris Metaxas, Leon Axel: "Morphological analysis of the papillary muscles and the trabaculae",
in <i>International Symposium on Biomedical Imaging (<b>ISBI</b>)</i>, 2014 (<b><a href="publications/ISBI14_cardiac.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Mustafa Uzunbas, <b>Chao Chen</b>, Shaoting Zhang, Kilian Pohl, Kang Li, Dimitris Metaxas: "Collaborative multi organ segmentation by integrating deformable and graphical models",
in <i>International Conference on Medical Image Computing and Computer Assisted Intervention (<b>MICCAI</b>)</i>, 2013
(<b><a href="publications/chen_miccai2013.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Mingchen Gao *, <b>Chao Chen *</b>, Shaoting Zhang, Zhen Qian, Dimitris Metaxas, Leon Axel: "Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles",
in <i>International Conference on Information Processing in Medical Imaging (<b>IPMI</b>)</i>, 2013 (<b><a href="publications/chen_trabeculae_ipmi13.pdf" title="">pdf</a></b>) (* contributed equally)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Vladimir Kolmogorov, Yan Zhu, Dimitris Metaxas, Christoph Lampert: "Computing the M most probable modes of a graphical model",
in <i>International Conference on Artificial Intelligence and Statistics (<b>AISTATS</b>)</i>, 2013 (Oral presentation, acceptance rate ~11% <b><a href="publications/chen_mmodes_aistats13.pdf" title="">pdf</a></b>, <b><a href="publications/chen_mmodes_aistats13_supp.pdf" title="">supplemental material</a></b>)
</p>
</li>
<li>
<p>
Novi Quadrianto, <b>Chao Chen</b>, Christoph Lampert: "The most persistent soft-clique in a set of sampled graphs",
in <i>International Conference on Machine Learning (<b>ICML</b>)</i>, 2012 (<b><a href="publications/QuaCheLam12.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Oleksiy Busaryev, Sergio Cabello, <b>Chao Chen</b>, Tamal K. Dey, Yusu Wang: "Annotating simplices with a homology basis and its applications",
in <i>Scandinavian Symposium and Workshops on Algorithm Theory (<b>SWAT</b>)</i>, 2012 (<b><a href="publications/basis-SWAT.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Herbert Edelsbrunner: "Diffusion runs low on persistence fast",
in <i>IEEE International Conference on Computer Vision (<b>ICCV</b>)</i>, 2011 (Acceptance rate 23.7%, <b><a href="publications/chen_iccv_2011.pdf" title="">pdf</a></b>, <b><a href="publications/chen_iccv_2011_poster.pdf" title="">poster</a></b>, <b><a href="publications/CompPersistence2DImg.tar.gz" title="">code</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman, Christoph H. Lampert: "Enforcing topological constraints in random field image segmentation",
in <i>IEEE Computer Vision and Pattern Recognition (<b>CVPR</b>)</i>, 2011 (<b><a href="publications/chen_cvpr_2011.pdf" title="">pdf</a></b>, <b><a href="http://pub.ist.ac.at/Pubs/TechRpts/2011/IST-2011-0002.pdf" title="">technical report</a></b>, <b><a href="publications/chen_cvpr_2011_poster.pdf" title="">poster</a></b>, <b><a href="publications/TopoCut_Final_Aug.tar.gz" title="">code</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Michael Kerber: "An output-sensitive algorithm for persistent homology",
in <i>Annual Symposium on Computational Geometry (<b>SoCG</b>)</i>, 2011 (<b><a href="publications/chen_socg_2011.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman: "Hardness results for homology localization",
in <i>Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms (<b>SODA</b>)</i>, 2010 (<b><a href="publications/chen_soda_2010.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman: "Quantifying homology classes",
in <i>Annual Symposium on Theoretical Aspects of Computer Science (<b>STACS</b>)</i>, 2008 (<b><a href="publications/chen_stacs_2008.pdf" title="">pdf</a></b>)<br>
<b>Note</b>: Proofs of the NP-hardness results in this paper are available in <a href=http://arxiv.org/abs/0709.2512>"Quantifying homology classes II: localization and stability"</a>.
</p>
</li>
<!-- <li><b>Chao Chen</b>, Ho-Lun Cheng: "Superimposing voronoi complexes for shape deformation",
in <i>International Symposium on Algorithms and Computation (<b>ISAAC</b>)</i>, 2004 (<b><a href="publications/chen_isaac_2004.pdf" title="">pdf</a></b>) </li> -->
</ul>
<!-- **************************************************************************************************** -->
<h2>Journals and Book Chapters</h2>
<ul>
<li>
<p>
Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, <b>Chao Chen</b>, Damith C. Ranasinghe, Qinfeng Shi: "An Adaptive Markov Random Field for Structured Compressive Sensing", in <i>IEEE Transactions on Image Processing (<b>TIP</b>)</i>, to appear
</p>
</li>
<li>
<p>
Tingting Wu, Alexander J. Dufford, Laura J. Egan, Melissa-Ann Mackie, Cong Chen, Changhe Yuan, <b>Chao Chen</b>, Xiaobo Li, Xun Liu, Patrick R. Hof, Jin Fan: "Hick–Hyman Law is Mediated by the Cognitive Control Network in the Brain", in <i>Cerebral Cortex pp. 1-16</i>, May 2017 (<b><a href="https://academic.oup.com/cercor/article-abstract/doi/10.1093/cercor/bhx127/3836954/Hick-Hyman-Law-is-Mediated-by-the-Cognitive?redirectedFrom=fulltext" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Jingjing Liu, <b>Chao Chen</b>, Yan Zhu, Wei Liu, Dimitris Metaxas: “Video Classification via Weakly Supervised Sequence Modeling”, in <i>Computer Vision and Image Understanding (<b>CVIU</b>) 152 pp. 79-87</i>, Nov. 2016 (<b><a href="http://www.sciencedirect.com/science/article/pii/S1077314215002325" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Mustafa Uzunbas, <b>Chao Chen</b>, Dimitris Metaxas: “ An efficient conditional random field approach for automatic and interactive neuron segmentation”, in <i>Medical Image Analysis (<b>MedIA</b>) 27 pp. 31-44</i>, Jan. 2016 (<b><a href="http://www.medicalimageanalysisjournal.com/article/S1361-8415(15)00090-0/abstract" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Arjun Jain, <b>Chao Chen</b>, Thorsten Thormählen, Dimitris Metaxas, Hans-Peter Seidel: “Multi-layer stencil creation from images”, in <i>Computer & Graphics (<b>C&G</b>) 48 pp. 11-22</i>, 2015 (<b><a href="http://www.sciencedirect.com/science/article/pii/S0097849315000114" title="">pdf</a></b>, <b><a href="publications/ChenStencil15_video.avi" title="">video</a></b>, <b><a href="http://stencilcreator.org/" title="">website</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Michael Kerber: “An output-sensitive algorithm for persistent homology”, in <i>Computational Geometry: Theory and Applications (<b>CGTA</b>) 46 (4) pp. 435-447 - Special Issue on the 27th Annual Symposium on Computational Geometry</i>, 2013 (<b><a href="publications/ChenKerberCGTA13.pdf" title="">pdf</a></b>)<!--(<b><a href="http://dx.doi.org/10.1016/j.comgeo.2012.02.010" title="">link</a></b>)-->
</p>
</li>
<li>
<p>
Yu Sheng, Barbara Cutler, <b>Chao Chen</b>, Joshua Nasman: "Perceptual global illumination cancellation in complex projection environments",
in <i>Computer Graphics Forum (<b>CGF</b>), Volume 30, Issue 4, Eurographics Symposium on Rendering (EGSR)</i>,
2011 (<b><a href="publications/chen_egsr_2011.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
Daniel Freedman, <b>Chao Chen</b>: "Algebraic topology for computer vision",
Chapter 5 of <i>Computer Vision, 239-268</i>, Ed. Sota R. Yoshida, Nova Science Pub. Inc., Hauppauge, New York, 2011 (<b><a href="publications/chen_survey_2011.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman: "Hardness results for homology localization",
in <i>Discrete & Computational Geometry (<b>DCG</b>) 45(3): 425-448</i>, 2011 (<b><a href="publications/ChenFreedmanDCG10.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman: "Measuring and computing natural generators for homology groups",
in <i>Computational Geometry: Theory and Applications (<b>CGTA</b>) 43(2): 169-181</i>, 2010 (<b><a href="publications/ChenFreedmanCGTA09.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Ho-Lun Cheng: "Superimposing voronoi complexes for shape deformation",
in <i>International Journal of Computational Geometry and Applications (<b>IJCGA</b>) 16(2-3): 159-174</i> 2006 <!--(<b><a href="publications/chen_ijcga_2006.pdf" title="">pdf</a></b>)-->
</p>
</li>
</ul>
<!-- **************************************************************************************************** -->
<h2>Workshops</h2>
<ul>
<li>
<p>
<b>Chao Chen</b>, Dimitris Metaxas, Yusu Wang, Pengxiang Wu, Changhe Yuan: "Cardiac Trabeculae Segmentation: an Application of Computational Topology",
in <i>the 27th Annual Fall Workshop on Computational Geometry (<b>FWCG</b>)</i>, 2017
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Han Liu, Dimitris Metaxas, Tianqi Zhao: "Identifying Sub-Networks of Functional Connectivity Using Modes of Distributions",
in <i>the 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (<b>MLINI</b>)</i>, 2014
</p>
</li>
<li>
<p>
Hubert Wagner, <b>Chao Chen</b>, Erald Vuçini: "Efficient computation of persistent homology for cubical data",
in <i>Proceedings of the 4th Workshop on Topology-based Methods in Data Analysis and Visualization (<b>TopoInVis</b>)</i>, 2011 (Best paper runner-up, <b><a href="publications/chen_topoinvis_2011.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Michael Kerber: "Persistent homology computation with a twist",
in <i>European Workshop on Computational Geometry (<b>EuroCG</b>)</i>, 2011 (<b><a href="publications/chen_eurocg_2011.pdf" title="">pdf</a></b>)
</p>
</li>
<li>
<p>
<b>Chao Chen</b>, Daniel Freedman: "Topology noise removal for curve and surface evolution",
in <i>Proceedings of the Medical Computer Vision Workshop (<b>MCV</b>) (in conjunction with MICCAI)</i>, 2010 <!-- (<b><a href="publications/chen_mcv_2010.pdf" title="">pdf</a></b>) -->
</p>
</li>
</ul>
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