Chao Chen

According to our database, Chao Chen authored at least 106 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.

Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Jianyuan Deng, Janos G. Hajagos, Richard N. Rosenthal, Chao Chen, Fusheng Wang

Artif. Intell. Medicine, January, 2023

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology.

Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna

CoRR, 2023

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images.

Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen

CoRR, 2023

Learning to Abstain From Uninformative Data.

Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

CoRR, 2023

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder.

Tao Sun, Lu Pang, Chao Chen, Haibin Ling

CoRR, 2023

Topology-Aware Uncertainty for Image Segmentation.

Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities.

Aishik Konwer, Chao Chen, Prateek Prasanna

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.

Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the Medical Imaging with Deep Learning, 2023

Learning to Segment from Noisy Annotations: A Spatial Correction Approach.

Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Confidence Estimation Using Unlabeled Data.

Chen Li, Xiaoling Hu, Chao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Probabilistic Topological Representations Using Discrete Morse Theory.

Xiaoling Hu, Dimitris Samaras, Chao Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Calibrating Uncertainty for Semi-Supervised Crowd Counting.

Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation.

Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Attention-Enhancing Backdoor Attacks Against BERT-based Models.

Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology.

Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Backdoor Cleansing with Unlabeled Data.

Lu Pang, Tao Sun, Haibin Ling, Chao Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Representational coding of overt and covert orienting of visuospatial attention in the frontoparietal network.

Tingting Wu, Melissa-Ann Mackie, Chao Chen, Jin Fan

NeuroImage, 2022

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.

Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fusheng Wang, Chao Chen

CoRR, 2022

Attention Hijacking in Trojan Transformers.

Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen

CoRR, 2022

On the Convergence of Optimizing Persistent-Homology-Based Losses.

Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen

CoRR, 2022

Learning Probabilistic Structural Representation for Biomedical Image Segmentation.

Xiaoling Hu, Dimitris Samaras, Chao Chen

CoRR, 2022

A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment.

Mahmudul Hasan, Jakub R. Kaczmarzyk, David Paredes, Lyanne Oblein, Jaymie Oentoro, Shahira Abousamra, Michael Horowitz, Dimitris Samaras, Chao Chen, Tahsin M. Kurç, Kenneth R. Shroyer, Joel H. Saltz

CoRR, 2022

A Manifold View of Adversarial Risk.

Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas

CoRR, 2022

A Topology-Attention ConvLSTM Network and Its Application to EM Images.

Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai

CoRR, 2022

Neural Approximation of Extended Persistent Homology on Graphs.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

CoRR, 2022

Stability of SGD: Tightness analysis and improved bounds.

Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Neural Approximation of Graph Topological Features.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Study of the Attention Abnormality in Trojaned BERTs.

Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Cycle Representation Learning for Inductive Relation Prediction.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

Proceedings of the International Conference on Machine Learning, 2022

Trigger Hunting with a Topological Prior for Trojan Detection.

Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Topological Interactions for Multi-Class Medical Image Segmentation.

Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary M. Saltz, Tahsin M. Kurç, Joel H. Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen

Proceedings of the Computer Vision - ECCV 2022, 2022

Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations.

Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GPU Computation of the Euler Characteristic Curve for Imaging Data.

Fan Wang, Hubert Wagner, Chao Chen

Proceedings of the 38th International Symposium on Computational Geometry, 2022

A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction.

Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fushen Wang, Chao Chen

Proceedings of the AMIA 2022, 2022

A Manifold View of Adversarial Risk.

Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder.

Weihao Zheng, Tehila Eilam-Stock, Tingting Wu, Alfredo Spagna, Chao Chen, Bin Hu, Jin Fan

IEEE Trans. Affect. Comput., 2021

Image Segmentation with Homotopy Warping.

Xiaoling Hu, Chao Chen

CoRR, 2021

A Topological View of Rule Learning in Knowledge Graphs.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

CoRR, 2021

Persistence Homology for Link Prediction: An Interactive View.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

CoRR, 2021

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach.

Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen

CoRR, 2021

Topological Detection of Trojaned Neural Networks.

Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network.

Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

A Topological-Attention ConvLSTM Network and Its Application to EM Images.

Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Topology-Preserving Segmentation with Compound Multi-Slice Representation.

Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer.

Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen

Proceedings of the Information Processing in Medical Imaging, 2021

Link Prediction with Persistent Homology: An Interactive View.

Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning with Feature-Dependent Label Noise: A Progressive Approach.

Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

Proceedings of the 9th International Conference on Learning Representations, 2021

Topology-Aware Segmentation Using Discrete Morse Theory.

Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen

Proceedings of the 9th International Conference on Learning Representations, 2021

Multi-Class Cell Detection Using Spatial Context Representation.

Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Localization in the Crowd with Topological Constraints.

Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Solving Multiple Inference by Minimizing Expected Loss.

Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Deep Variational Instance Segmentation.

Jialin Yuan, Chao Chen, Fuxin Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Topological Filter for Learning with Label Noise.

Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images.

Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Error-Bounded Correction of Noisy Labels.

Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen

Proceedings of the 37th International Conference on Machine Learning, 2020

Curvature Graph Network.

Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen

Proceedings of the 8th International Conference on Learning Representations, 2020

TopoGAN: A Topology-Aware Generative Adversarial Network.

Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen

Proceedings of the Computer Vision - ECCV 2020, 2020

Learn Distributed GAN with Temporary Discriminators.

Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020, 2020

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer.

David Paredes, Prateek Prasanna, Christina Preece, Rajarsi Gupta, Farzad Fereidouni, Dimitris Samaras, Tahsin M. Kurç, Richard M. Levenson, Patricia Thompson-Carino, Joel H. Saltz, Chao Chen

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.

Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study.

Andrew Aukerman, Mathieu Carrière, Chao Chen, Kevin Gardner, Raúl Rabadán, Rami Vanguri

Proceedings of the 36th International Symposium on Computational Geometry, 2020

Persistence Enhanced Graph Neural Network.

Qi Zhao, Ze Ye, Chao Chen, Yusu Wang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Local Regularizer Improves Generalization.

Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Adaptive Markov Random Field for Structured Compressive Sensing.

Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi

IEEE Trans. Image Process., 2019

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types.

Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz

CoRR, 2019

Topology-Preserving Deep Image Segmentation.

Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Diverse Multiple Prediction on Neuron Image Reconstruction.

Ze Ye, Cong Chen, Changhe Yuan, Chao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network.

Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Deep Attentive Feature Learning for Histopathology Image Classification.

Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction.

Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes.

Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm.

Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Topological Regularizer for Classifiers via Persistent Homology.

Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Point Cloud Processing via Recurrent Set Encoding.

Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

TopoReg: A Topological Regularizer for Classifiers.

Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang

CoRR, 2018

Solving M-Modes in Loopy Graphs Using Tree Decompositions.

Cong Chen, Changhe Yuan, Ze Ye, Chao Chen

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing.

Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration.

Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel

Proceedings of the Information Processing in Medical Imaging, 2017

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data.

Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen

Proceedings of the 34th International Conference on Machine Learning, 2017

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution).

Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu

Proceedings of the 33rd International Symposium on Computational Geometry, 2017

2016

An efficient conditional random field approach for automatic and interactive neuron segmentation.

Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas

Medical Image Anal., 2016

Video Classification via Weakly Supervised Sequence Modeling.

Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, Dimitris N. Metaxas

Comput. Vis. Image Underst., 2016

Solving M-Modes Using Heuristic Search.

Cong Chen, Changhe Yuan, Chao Chen

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Clustering High Dimensional Categorical Data via Topographical Features.

Chao Chen, Novi Quadrianto

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Multi-layer stencil creation from images.

Arjun Jain, Chao Chen, Thorsten Thormählen, Dimitris N. Metaxas, Hans-Peter Seidel

Comput. Graph., 2015

Ventricular blood flow analysis using topological methods.

Scott Kulp, Chao Chen, Dimitris N. Metaxas, Leon Axel

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

Mode Estimation for High Dimensional Discrete Tree Graphical Models.

Chao Chen, Han Liu, Dimitris N. Metaxas, Tianqi Zhao

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation.

Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Morphological analysis of the papillary muscles and the trabeculae.

Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013

An output-sensitive algorithm for persistent homology.

Chao Chen, Michael Kerber

Comput. Geom., 2013

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models.

Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles.

Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel

Proceedings of the Information Processing in Medical Imaging, 2013

Computing the M Most Probable Modes of a Graphical Model.

Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Annotating Simplices with a Homology Basis and Its Applications.

Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang

Proceedings of the Algorithm Theory - SWAT 2012, 2012

The Most Persistent Soft-Clique in a Set of Sampled Graphs.

Novi Quadrianto, Chao Chen, Christoph H. Lampert

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Hardness Results for Homology Localization.

Chao Chen, Daniel Freedman

Discret. Comput. Geom., 2011

Perceptual Global Illumination Cancellation in Complex Projection Environments.

Yu Sheng, Barbara Cutler, Chao Chen, Joshua D. Nasman

Comput. Graph. Forum, 2011

Diffusion runs low on persistence fast.

Chao Chen, Herbert Edelsbrunner

Proceedings of the IEEE International Conference on Computer Vision, 2011

Enforcing topological constraints in random field image segmentation.

Chao Chen, Daniel Freedman, Christoph H. Lampert

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Measuring and computing natural generators for homology groups.

Chao Chen, Daniel Freedman

Comput. Geom., 2010

Topology Noise Removal for Curve and Surface Evolution.

Chao Chen, Daniel Freedman

Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

2009

Algorithms and hardness results in computational homology.

Chao Chen

PhD thesis, 2009

2008

Quantifying Homology Classes.

Chao Chen, Daniel Freedman

Proceedings of the STACS 2008, 2008

2007

Quantifying Homology Classes II: Localization and Stability

Chao Chen, Daniel Freedman

CoRR, 2007

Measuring and Localing Homology Classes

Daniel Freedman, Chao Chen

CoRR, 2007

2006

Superimposing Voronoi Complexes for Shape Deformation.

Chao Chen, Ho-Lun Cheng

Int. J. Comput. Geom. Appl., 2006