Publications
Conferences
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Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen: "Curvature Graph Network", in the Eighth International Conference on Learning Representations(ICLR), 2020
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Yikai Zhang, Hui Qu, Dimitris Metaxas, Chao Chen: "Local Regularizer Improves Generalization", in The 34th AAAI Conference in Artificial Intelligence (AAAI), 2020, (acceptance rate 20.6%)
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Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen: "Topology-Preserving Deep Image Segmentation", in the Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019, (acceptance rate 21.2%)
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Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen: "Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm", in The 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019
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Ze Ye, Cong Chen, Changhe Yuan, Chao Chen: "Diverse Multiple Prediction on Neural Image Reconstruction", in the 22st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2019, (Early Acceptance)
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Yikai Zhang, Hui Qu, Chao Chen, Dimitris Metaxas:"Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes",
in the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019, (acceptance rate 17.9%)
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Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris Metaxas, Chao Chen: "Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction",
in the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019, (acceptance rate 17.9%)
- Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang: "A Topological Regularizer for Classifiers via Persistent Homology",
in International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
- Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris Metaxas: "Deep Attentive Feature Learning for Histopathology Image Classification",
in IEEE International Symposium on Biomedical Imaging (ISBI), 2019
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Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas: "Point Cloud Processing via Recurrent Set Encoding", in The 33rd AAAI Conference in Artificial Intelligence (AAAI), 2019, (acceptance rate 16.2%)
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Cong Chen, Changhe Yuan, Ze Ye, Chao Chen: "Solving M-Modes in Loopy Graphs Using Tree Decompositions", in The 9th International Conference on Probabilistic Graphical Models (PGM), 2018.
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Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen: "A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing", in the 21st International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018, (Oral Presentation, Acceptance Rate 4%).
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Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen: "Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data",
in the 34rd International Conference on Machine Learning (ICML), 2017, (acceptance rate 25.46%)
(pdf)
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Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris Metaxas, Leon Axel: "Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration",
in the 25th biennial international conference on Information Processing in Medical Imaging (IPMI), 2017,
(Oral presentation, acceptance rate 14.32%, pdf, code)
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Chao Chen, Dimitris Metaxas, Yusu Wang, Pengxiang Wu: "Cardiac Trabeculae Segmentation, an Application of Computational Topology",
in the 33rd International Symposium on Computational Geometry (SoCG): Multimedia Session, 2017,
(pdf, video)
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Chao Chen, Novi Quadrianto: "Clustering High Dimensional Categorical Data via Topographical Features",
in the 33rd International Conference on Machine Learning (ICML), 2016, (acceptance rate 24.26%)
(pdf)
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Cong Chen, Changhe Yuan, Chao Chen: "Solving M-Modes Using Heuristic Search",
in the 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016
(pdf)
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Scott Kulp, Chao Chen, Dimitris Metaxas, Leon Axel: "Ventricular blood flow analysis using topological methods",
in International Symposium on Biomedical Imaging (ISBI), 2015
(pdf)
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Chao Chen, Han Liu, Dimitris Metaxas, Tianqi Zhao:
"Mode Estimation for High Dimensional Discrete Tree Graphical Models",
in Advances in Neural Information Processing Systems (NIPS), 2014
(Spotlight oral, acceptance rate ~5%, pdf, technical report available soon)
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Mustafa Uzunbas, Chao Chen, Dimitris Metaxas:
"Optree: a Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation",
in the 17th Annual International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014.
(Early acceptance rate ~10%,
pdf)
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Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris Metaxas, Leon Axel: "Morphological analysis of the papillary muscles and the trabaculae",
in International Symposium on Biomedical Imaging (ISBI), 2014
(pdf)
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Mustafa Uzunbas, Chao Chen, Shaoting Zhang, Kilian Pohl, Kang Li, Dimitris Metaxas:
"Collaborative multi organ segmentation by integrating deformable and graphical models",
in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2013
(pdf)
- Mingchen Gao *, Chao Chen *, 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 International Conference on Information Processing in Medical Imaging (IPMI), 2013 (pdf) (* contributed equally)
- Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris Metaxas, Christoph Lampert: "Computing the M most probable modes of a graphical model",
in International Conference on Artificial Intelligence and Statistics (AISTATS), 2013 (Oral presentation, acceptance rate ~11% pdf, supplemental material)
- Novi Quadrianto, Chao Chen, Christoph Lampert: "The most persistent soft-clique in a set of sampled graphs",
in International Conference on Machine Learning (ICML), 2012 (pdf)
- Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang: "Annotating simplices with a homology basis and its applications",
in Scandinavian Symposium and Workshops on Algorithm Theory (SWAT), 2012 (pdf)
- Chao Chen, Herbert Edelsbrunner: "Diffusion runs low on persistence fast",
in IEEE International Conference on Computer Vision (ICCV), 2011 (Acceptance rate 23.7%, pdf, poster, code)
- Chao Chen, Daniel Freedman, Christoph H. Lampert: "Enforcing topological constraints in random field image segmentation",
in IEEE Computer Vision and Pattern Recognition (CVPR), 2011 (pdf, technical report, poster, code)
- Chao Chen, Michael Kerber: "An output-sensitive algorithm for persistent homology",
in Annual Symposium on Computational Geometry (SoCG), 2011 (pdf)
- Chao Chen, Daniel Freedman: "Hardness results for homology localization",
in Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2010 (pdf)
- Chao Chen, Daniel Freedman: "Quantifying homology classes",
in Annual Symposium on Theoretical Aspects of Computer Science (STACS), 2008 (pdf)
Note: Proofs of the NP-hardness results in this paper are available in "Quantifying homology classes II: localization and stability".
Journals and Book Chapters
- Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith C. Ranasinghe, Qinfeng Shi: "An Adaptive Markov Random Field for Structured Compressive Sensing", in IEEE Transactions on Image Processing (TIP), to appear
- Tingting Wu, Alexander J. Dufford, Laura J. Egan, Melissa-Ann Mackie, Cong Chen, Changhe Yuan, Chao Chen, Xiaobo Li, Xun Liu, Patrick R. Hof, Jin Fan: "Hick–Hyman Law is Mediated by the Cognitive Control Network in the Brain", in Cerebral Cortex pp. 1-16, May 2017 (pdf)
- Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, Dimitris Metaxas: “Video Classification via Weakly Supervised Sequence Modeling”, in Computer Vision and Image Understanding (CVIU) 152 pp. 79-87, Nov. 2016 (pdf)
- Mustafa Uzunbas, Chao Chen, Dimitris Metaxas: “ An efficient conditional random field approach for automatic and interactive neuron segmentation”, in Medical Image Analysis (MedIA) 27 pp. 31-44, Jan. 2016 (pdf)
- Arjun Jain, Chao Chen, Thorsten Thormählen, Dimitris Metaxas, Hans-Peter Seidel: “Multi-layer stencil creation from images”, in Computer & Graphics (C&G) 48 pp. 11-22, 2015 (pdf, video, website)
- Chao Chen, Michael Kerber: “An output-sensitive algorithm for persistent homology”, in Computational Geometry: Theory and Applications (CGTA) 46 (4) pp. 435-447 - Special Issue on the 27th Annual Symposium on Computational Geometry, 2013 (pdf)
- Yu Sheng, Barbara Cutler, Chao Chen, Joshua Nasman: "Perceptual global illumination cancellation in complex projection environments",
in Computer Graphics Forum (CGF), Volume 30, Issue 4, Eurographics Symposium on Rendering (EGSR),
2011 (pdf)
- Daniel Freedman, Chao Chen: "Algebraic topology for computer vision",
Chapter 5 of Computer Vision, 239-268, Ed. Sota R. Yoshida, Nova Science Pub. Inc., Hauppauge, New York, 2011 (pdf)
- Chao Chen, Daniel Freedman: "Hardness results for homology localization",
in Discrete & Computational Geometry (DCG) 45(3): 425-448, 2011 (pdf)
- Chao Chen, Daniel Freedman: "Measuring and computing natural generators for homology groups",
in Computational Geometry: Theory and Applications (CGTA) 43(2): 169-181, 2010 (pdf)
- Chao Chen, Ho-Lun Cheng: "Superimposing voronoi complexes for shape deformation",
in International Journal of Computational Geometry and Applications (IJCGA) 16(2-3): 159-174 2006
Workshops
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Chao Chen, Dimitris Metaxas, Yusu Wang, Pengxiang Wu, Changhe Yuan:
"Cardiac Trabeculae Segmentation: an Application of Computational Topology",
in the 27th Annual Fall Workshop on Computational Geometry (FWCG), 2017
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Chao Chen, Han Liu, Dimitris Metaxas, Tianqi Zhao:
"Identifying Sub-Networks of Functional Connectivity Using Modes of Distributions",
in the 4th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), 2014
- Hubert Wagner, Chao Chen, Erald Vuçini: "Efficient computation of persistent homology for cubical data",
in Proceedings of the 4th Workshop on Topology-based Methods in Data Analysis and Visualization (TopoInVis), 2011 (Best paper runner-up, pdf)
- Chao Chen, Michael Kerber: "Persistent homology computation with a twist",
in European Workshop on Computational Geometry (EuroCG), 2011 (pdf)
- Chao Chen, Daniel Freedman: "Topology noise removal for curve and surface evolution",
in Proceedings of the Medical Computer Vision Workshop (MCV) (in conjunction with MICCAI), 2010
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