Chao Chen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 110

Top Venues

Publications

Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR (2023)
Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
Attention-Enhancing Backdoor Attacks Against BERT-based Models. EMNLP (Findings) (2023)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR (2023)
Chen Li, Xiaoling Hu, Chao Chen
Confidence Estimation Using Unlabeled Data. CoRR (2023)
Xiaoling Hu, Dimitris Samaras, Chao Chen
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR (2023)
Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Jianyuan Deng, Janos G. Hajagos, Richard N. Rosenthal, Chao Chen, Fusheng Wang
An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. Artif. Intell. Medicine 135 (2023)
Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR (2023)
Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. CoRR (2023)
Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. ICCV (2023)
Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR (2023)
Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
Attention-Enhancing Backdoor Attacks Against BERT-based Models. CoRR (2023)
Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR (2023)
Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
Calibrating Uncertainty for Semi-Supervised Crowd Counting. CoRR (2023)
Tao Sun, Lu Pang, Chao Chen, Haibin Ling
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder. CoRR (2023)
Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR (2023)
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Topology-Aware Uncertainty for Image Segmentation. CoRR (2023)
Aishik Konwer, Chao Chen, Prateek Prasanna
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) (2023)
Lu Pang, Tao Sun, Haibin Ling, Chao Chen
Backdoor Cleansing with Unlabeled Data. CVPR (2023)
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
Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL (2023)
Chen Li, Xiaoling Hu, Chao Chen
Confidence Estimation Using Unlabeled Data. ICLR (2023)
Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
Topology-Aware Uncertainty for Image Segmentation. NeurIPS (2023)
Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
Learning to Abstain From Uninformative Data. CoRR (2023)
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
A Study of the Attention Abnormality in Trojaned BERTs. NAACL-HLT (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
Cycle Representation Learning for Inductive Relation Prediction. ICML (2022)
Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR (2022)
Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
A Manifold View of Adversarial Risk. CoRR (2022)
Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
A Manifold View of Adversarial Risk. AISTATS (2022)
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
Attention Hijacking in Trojan Transformers. CoRR (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Neural Approximation of Graph Topological Features. NeurIPS (2022)
Xiaoling Hu, Dimitris Samaras, Chao Chen
Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR (2022)
Fan Wang, Hubert Wagner, Chao Chen
GPU Computation of the Euler Characteristic Curve for Imaging Data. SoCG (2022)
Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fushen Wang, Chao Chen
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. AMIA (2022)
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
A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR (2022)
Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fusheng Wang, Chao Chen
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. CoRR (2022)
Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
Stability of SGD: Tightness analysis and improved bounds. UAI (2022)
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Trigger Hunting with a Topological Prior for Trojan Detection. ICLR (2022)
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
Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR (2022)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Neural Approximation of Extended Persistent Homology on Graphs. CoRR (2022)
Tingting Wu, Melissa-Ann Mackie, Chao Chen, Jin Fan
Representational coding of overt and covert orienting of visuospatial attention in the frontoparietal network. NeuroImage 261 (2022)
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
Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (24) (2022)
Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
A Topology-Attention ConvLSTM Network and Its Application to EM Images. CoRR (2022)
Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
A Study of the Attention Abnormality in Trojaned BERTs. CoRR (2022)
Lu Pang, Tao Sun, Haibin Ling, Chao Chen
Backdoor Cleansing with Unlabeled Data. CoRR (2022)
Fan Wang, Hubert Wagner, Chao Chen
GPU Computation of the Euler Characteristic Curve for Imaging Data. CoRR (2022)
Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CVPR (2022)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR (2021)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
A Topological View of Rule Learning in Knowledge Graphs. CoRR (2021)
Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
Stability of SGD: Tightness Analysis and Improved Bounds. CoRR (2021)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR (2021)
Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR (2021)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. ICCV (2021)
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
Learning with Feature-Dependent Label Noise: A Progressive Approach. ICLR (2021)
Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL (2021)
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
Learning with Feature-Dependent Label Noise: A Progressive Approach. CoRR (2021)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
Link Prediction with Persistent Homology: An Interactive View. ICML (2021)
Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. ISBI (2021)
Xiaoling Hu, Chao Chen
Image Segmentation with Homotopy Warping. CoRR (2021)
Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI (2021)
Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
Trigger Hunting with a Topological Prior for Trojan Detection. CoRR (2021)
Weihao Zheng, Tehila Eilam-Stock, Tingting Wu, Alfredo Spagna, Chao Chen, Bin Hu, Jin Fan
Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. 12 (3) (2021)
Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
Topological Detection of Trojaned Neural Networks. NeurIPS (2021)
Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
Topological Detection of Trojaned Neural Networks. CoRR (2021)
Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
Multi-Class Cell Detection Using Spatial Context Representation. CoRR (2021)
Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
Persistence Homology for Link Prediction: An Interactive View. CoRR (2021)
Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
A Topological-Attention ConvLSTM Network and Its Application to EM Images. MICCAI (1) (2021)
Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR (2021)
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Localization in the Crowd with Topological Constraints. AAAI (2021)
Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan
Solving Multiple Inference by Minimizing Expected Loss. PGM (2020)
Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) (2020)
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
Learn Distributed GAN with Temporary Discriminators. ECCV (27) (2020)
Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen
Curvature Graph Network. ICLR (2020)
Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR (2020)
Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
Learn distributed GAN with Temporary Discriminators. CoRR (2020)
Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR (2020)
Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
Error-Bounded Correction of Noisy Labels. ICML (2020)
Andrew Aukerman, Mathieu Carrière, Chao Chen, Kevin Gardner, Raúl Rabadán, Rami Vanguri
Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study. SoCG (2020)
Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
Localization in the Crowd with Topological Constraints. CoRR (2020)
Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen
Local Regularizer Improves Generalization. AAAI (2020)
Jialin Yuan, Chao Chen, Fuxin Li
Deep Variational Instance Segmentation. NeurIPS (2020)
Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
A Topological Filter for Learning with Label Noise. NeurIPS (2020)
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
Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI (2020)
Qi Zhao, Ze Ye, Chao Chen, Yusu Wang
Persistence Enhanced Graph Neural Network. AISTATS (2020)
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
Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) (2020)
Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
Error-Bounded Correction of Noisy Labels. CoRR (2020)
Jialin Yuan, Chao Chen, Fuxin Li
Deep Variational Instance Segmentation. CoRR (2020)
Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
A Topological Filter for Learning with Label Noise. CoRR (2020)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS (2019)
Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen
Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. MBIA/MFCA@MICCAI (2019)
Ze Ye, Cong Chen, Changhe Yuan, Chao Chen
Diverse Multiple Prediction on Neuron Image Reconstruction. MICCAI (1) (2019)
Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas
Point Cloud Processing via Recurrent Set Encoding. AAAI (2019)
Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Preserving Deep Image Segmentation. CoRR (2019)
Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI (2019)
Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas
Point Cloud Processing via Recurrent Set Encoding. CoRR (2019)
Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi
An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. 28 (3) (2019)
Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas
Deep Attentive Feature Learning for Histopathology Image Classification. ISBI (2019)
Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI (2019)
Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Shroyer Kenneth, Joel H. Saltz
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR (2019)
Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen
Topology-Preserving Deep Image Segmentation. NeurIPS (2019)
Cong Chen, Changhe Yuan, Ze Ye, Chao Chen
Solving M-Modes in Loopy Graphs Using Tree Decompositions. PGM (2018)
Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
TopoReg: A Topological Regularizer for Classifiers. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chao Chen