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ORCIDChao Chen 0012
Person information
- affiliation: Stony Brook University, Stony Brook, NY, USA
Other persons with the same name
- Chao Chen — disambiguation page
- Chao Chen 0001
![[0000-0003-0502-8742]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0502-8742")
— Indiana University - Purdue University Fort Wayne, Department of Engineering, IN, USA - Chao Chen 0002 — Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Chao Chen 0003 — Freescale Semiconductor, Inc., Austin, TX, USA (and 1 more)
- Chao Chen 0004 — Chongqing University, College of Computer Science, China (and 4 more)
- Chao Chen 0005 — Zhejiang Gongshang University, School of Information and Electronic Engineering, Hangzhou, China (and 1 more)
- Chao Chen 0006 — Qualcomm Incorporated, San Diego, CA, USA (and 1 more)
- Chao Chen 0007 — University of Nottingham, School of Computer Science, UK
- Chao Chen 0008 — North Carolina State University, Raleigh, NC, USA (and 2 more)
- Chao Chen 0009 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Chao Chen 0010 — Shandong Normal University, School of Management Science and Engineering, China
- Chao Chen 0011 — University of Warwick, Coventry, UK
- Chao Chen 0013 — Xidian University, Xi'an, China
- Chao Chen 0014 — University of Miami, Coral Gables, FL, USA
- Chao Chen 0015 — RMIT University, Melbourne, VIC, Australia (and 3 more)
- Chao Chen 0016 — Shanghai Jiao Tong University, China (and 2 more)
- Chao Chen 0017 — National University of Defense Technology, College of System Engineering, Changsha, China
- Chao Chen 0018 — Southeast University, National ASIC Research Center, Nanjing, China
- Chao Chen 0019 — Butterfly Network Inc., Guilford, CT, USA (and 1 more)
- Chao Chen 0020 — University of Florida, Department of Computer and Information Sciences and Engineering, Gainesville, FL, USA
- Chao Chen 0021 — Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany
- Chao Chen 0022 — Shenzhen Institutes of Advanced Technology (SIAT), CAS, China
- Chao Chen 0023 — Delft University of Technology, Faculty of Technology, Policy and Management, The Netherlands (and 1 more)
- Chao Chen 0024 — Georgia Institute of Technology, Atlanta, GA, USA
- Chao Chen 0025 — Beihang University, Beijing, China
- Chao Chen 0026 — DAMO Academy, Alibaba Group, China (and 1 more)
- Chao Chen 0027 — National University of Defense Technology, College of System Engineering, Changsha, China
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2020 – today
- 2025
[e2]Chao Chen, Yash Singh, Xiaoling Hu:
Topology- and Graph-Informed Imaging Informatics - First International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15239, Springer 2025, ISBN 978-3-031-73966-8 [contents]- 2024
- [j15]Jiaqi Yang, Nitish Mehta, Gözde Merve Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai:
Anomaly-guided weakly supervised lesion segmentation on retinal OCT images. Medical Image Anal. 94: 103139 (2024) - [j14]Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen:
Learning to Abstain From Uninformative Data. Trans. Mach. Learn. Res. 2024 (2024) - [c86]Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen:
Uncertainty Estimation for Tumor Prediction with Unlabeled Data. CVPR Workshops 2024: 6946-6954 - [c85]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. CVPR 2024: 11226-11237 - [c84]Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen:
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency. ECCV (78) 2024: 271-289 - [c83]Meiliong Xu, Nate Anderson, Richard M. Levenson, Prateek Prasanna, Chao Chen:
A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging. TGI3@MICCAI 2024: 122-133 - [c82]Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. MICCAI (4) 2024: 144-154 - [c81]Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. MICCAI (4) 2024: 459-469 - [c80]Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen:
Spatial Diffusion for Cell Layout Generation. MICCAI (4) 2024: 481-491 - [c79]Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen:
Task-Agnostic Detector for Insertion-Based Backdoor Attacks. NAACL-HLT (Findings) 2024: 2808-2822 - [e1]Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu:
Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14379, Springer 2024, ISBN 978-3-031-58170-0 [contents] - [i57]Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen:
Task-Agnostic Detector for Insertion-Based Backdoor Attacks. CoRR abs/2403.17155 (2024) - [i56]Weimin Lyu, Zexin Bi, Fusheng Wang, Chao Chen:
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records. CoRR abs/2407.05213 (2024) - [i55]Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen:
Spatial Diffusion for Cell Layout Generation. CoRR abs/2409.03106 (2024) - [i54]Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen:
TrojVLM: Backdoor Attack Against Vision Language Models. CoRR abs/2409.19232 (2024) - [i53]Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen:
Backdooring Vision-Language Models with Out-Of-Distribution Data. CoRR abs/2410.01264 (2024) - [i52]Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. CoRR abs/2410.02212 (2024) - 2023
- [j13]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: 102439 (2023) - [j12]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023) - [c78]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: 3323-3333 - [c77]Lu Pang, Tao Sun, Haibin Ling, Chao Chen:
Backdoor Cleansing with Unlabeled Data. CVPR 2023: 12218-12227 - [c76]Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen:
Attention-Enhancing Backdoor Attacks Against BERT-based Models. EMNLP (Findings) 2023: 10672-10690 - [c75]Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen:
Calibrating Uncertainty for Semi-Supervised Crowd Counting. ICCV 2023: 16685-16695 - [c74]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: 21358-21368 - [c73]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR 2023 - [c72]Chen Li, Xiaoling Hu, Chao Chen:
Confidence Estimation Using Unlabeled Data. ICLR 2023 - [c71]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR 2023 - [c70]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. LoG 2023: 4 - [c69]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: 74-94 - [c68]Aishik Konwer, Chao Chen, Prateek Prasanna:
MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) 2023: 361-371 - [c67]Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen:
Topology-Aware Uncertainty for Image Segmentation. NeurIPS 2023 - [i51]Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna:
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR abs/2302.04308 (2023) - [i50]Tao Sun, Lu Pang, Chao Chen, Haibin Ling:
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder. CoRR abs/2303.15564 (2023) - [i49]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 abs/2304.02255 (2023) - [i48]Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen:
Topology-Aware Uncertainty for Image Segmentation. CoRR abs/2306.05671 (2023) - [i47]Chen Li, Xiaoling Hu, Chao Chen:
Confidence Estimation Using Unlabeled Data. CoRR abs/2307.10440 (2023) - [i46]Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen:
Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR abs/2308.02498 (2023) - [i45]Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen:
Calibrating Uncertainty for Semi-Supervised Crowd Counting. CoRR abs/2308.09887 (2023) - [i44]Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen:
Learning to Abstain From Uninformative Data. CoRR abs/2309.14240 (2023) - [i43]Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen:
Attention-Enhancing Backdoor Attacks Against BERT-based Models. CoRR abs/2310.14480 (2023) - [i42]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang:
Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR abs/2311.14333 (2023) - [i41]Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen:
TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. CoRR abs/2311.16447 (2023) - [i40]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 abs/2312.15010 (2023) - 2022
- [j11]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: 119499 (2022) - [c66]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. AISTATS 2022: 11598-11614 - [c65]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 - [c64]Fan Wang, Hubert Wagner, Chao Chen:
GPU Computation of the Euler Characteristic Curve for Imaging Data. SoCG 2022: 64:1-64:16 - [c63]Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna:
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CVPR 2022: 18802-18813 - [c62]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 (29) 2022: 701-718 - [c61]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. ICLR 2022 - [c60]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Cycle Representation Learning for Inductive Relation Prediction. ICML 2022: 24895-24910 - [c59]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen:
A Study of the Attention Abnormality in Trojaned BERTs. NAACL-HLT 2022: 4727-4741 - [c58]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Graph Topological Features. NeurIPS 2022 - [c57]Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami:
Stability of SGD: Tightness analysis and improved bounds. UAI 2022: 2364-2373 - [i39]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen:
Neural Approximation of Extended Persistent Homology on Graphs. CoRR abs/2201.12032 (2022) - [i38]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
A Topology-Attention ConvLSTM Network and Its Application to EM Images. CoRR abs/2202.03430 (2022) - [i37]Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna:
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CoRR abs/2203.01933 (2022) - [i36]Fan Wang, Hubert Wagner, Chao Chen:
GPU Computation of the Euler Characteristic Curve for Imaging Data. CoRR abs/2203.09087 (2022) - [i35]Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. CoRR abs/2203.13277 (2022) - [i34]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 abs/2204.12283 (2022) - [i33]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen:
A Study of the Attention Abnormality in Trojaned BERTs. CoRR abs/2205.08305 (2022) - [i32]Xiaoling Hu, Dimitris Samaras, Chao Chen:
Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR abs/2206.01742 (2022) - [i31]Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen:
On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR abs/2206.02946 (2022) - [i30]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 abs/2207.09654 (2022) - [i29]Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen:
Attention Hijacking in Trojan Transformers. CoRR abs/2208.04946 (2022) - [i28]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 abs/2208.10240 (2022) - [i27]Lu Pang, Tao Sun, Haibin Ling, Chao Chen:
Backdoor Cleansing with Unlabeled Data. CoRR abs/2211.12044 (2022) - 2021
- [j10]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): 732-742 (2021) - [c56]Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. AAAI 2021: 872-881 - [c55]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: 3985-3994 - [c54]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. ICLR 2021 - [c53]Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen:
Learning with Feature-Dependent Label Noise: A Progressive Approach. ICLR 2021 - [c52]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Link Prediction with Persistent Homology: An Interactive View. ICML 2021: 11659-11669 - [c51]Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen:
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI 2021: 386-397 - [c50]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. ISBI 2021: 1297-1301 - [c49]Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai:
A Topological-Attention ConvLSTM Network and Its Application to EM Images. MICCAI (1) 2021: 217-228 - [c48]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: 384-398 - [c47]Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen:
Topological Detection of Trojaned Neural Networks. NeurIPS 2021: 17258-17272 - [i26]Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen:
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR abs/2102.04655 (2021) - [i25]Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami:
Stability of SGD: Tightness Analysis and Improved Bounds. CoRR abs/2102.05274 (2021) - [i24]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
Persistence Homology for Link Prediction: An Interactive View. CoRR abs/2102.10255 (2021) - [i23]Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen:
Learning with Feature-Dependent Label Noise: A Progressive Approach. CoRR abs/2103.07756 (2021) - [i22]Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Aware Segmentation Using Discrete Morse Theory. CoRR abs/2103.09992 (2021) - [i21]Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen:
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR abs/2105.06049 (2021) - [i20]Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen:
Topological Detection of Trojaned Neural Networks. CoRR abs/2106.06469 (2021) - [i19]Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen:
A Topological View of Rule Learning in Knowledge Graphs. CoRR abs/2110.02510 (2021) - [i18]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 abs/2110.04886 (2021) - [i17]Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen:
Trigger Hunting with a Topological Prior for Trojan Detection. CoRR abs/2110.08335 (2021) - [i16]Xiaoling Hu, Chao Chen:
Image Segmentation with Homotopy Warping. CoRR abs/2112.07812 (2021) - 2020
- [c46]Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen:
Local Regularizer Improves Generalization. AAAI 2020: 6861-6868 - [c45]Qi Zhao, Ze Ye, Chao Chen, Yusu Wang:
Persistence Enhanced Graph Neural Network. AISTATS 2020: 2896-2906 - [c44]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: 11:1-11:20 - [c43]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: 13853-13863 - [c42]Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen:
TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) 2020: 118-136 - [c41]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn Distributed GAN with Temporary Discriminators. ECCV (27) 2020: 175-192 - [c40]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: 267-279 - [c39]Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen:
Curvature Graph Network. ICLR 2020 - [c38]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. ICML 2020: 11447-11457 - [c37]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: 481-485 - [c36]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. NeurIPS 2020 - [c35]Jialin Yuan, Chao Chen, Fuxin Li:
Deep Variational Instance Segmentation. NeurIPS 2020 - [c34]Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan:
Solving Multiple Inference by Minimizing Expected Loss. PGM 2020: 65-76 - [c33]Cong Chen, Changhe Yuan, Chao Chen:
Efficient Heuristic Search for M-Modes Inference. PGM 2020: 77-88 - [i15]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 abs/2006.00080 (2020) - [i14]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn distributed GAN with Temporary Discriminators. CoRR abs/2007.09221 (2020) - [i13]Jialin Yuan, Chao Chen, Fuxin Li:
Deep Variational Instance Segmentation. CoRR abs/2007.11576 (2020) - [i12]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. CoRR abs/2011.10077 (2020) - [i11]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. CoRR abs/2012.04835 (2020) - [i10]Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. CoRR abs/2012.12482 (2020)
2010 – 2019
- 2019
- [j9]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): 1556-1570 (2019) - [c32]Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. AAAI 2019: 5441-5449 - [c31]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
A Topological Regularizer for Classifiers via Persistent Homology. AISTATS 2019: 2573-2582 - [c30]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. CIKM 2019: 2085-2088 - [c29]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: 1312-1318 - [c28]Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas:
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI 2019: 4348-4354 - [c27]Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas:
Deep Attentive Feature Learning for Histopathology Image Classification. ISBI 2019: 1865-1868 - [c26]Fan Wang, Chunhua Deng, Bo Yuan, Chao Chen:
Hardware Acceleration of Persistent Homology Computation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 81-88 - [c25]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: 93-101 - [c24]Ze Ye, Cong Chen, Changhe Yuan, Chao Chen:
Diverse Multiple Prediction on Neuron Image Reconstruction. MICCAI (1) 2019: 460-468 - [c23]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. NeurIPS 2019: 5658-5669 - [i9]Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen:
Topology-Preserving Deep Image Segmentation. CoRR abs/1906.05404 (2019) - [i8]Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz:
Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR abs/1907.03960 (2019) - [i7]Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. CoRR abs/1911.10729 (2019) - 2018
- [c22]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. MICCAI (3) 2018: 302-310 - [c21]Cong Chen, Changhe Yuan, Ze Ye, Chao Chen:
Solving M-Modes in Loopy Graphs Using Tree Decompositions. PGM 2018: 145-156 - [i6]Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang:
TopoReg: A Topological Regularizer for Classifiers. CoRR abs/1806.10714 (2018) - 2017
- [c20]Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu:
Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). SoCG 2017: 65:1-65:4 - [c19]Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen:
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. ICML 2017: 2622-2631 - [c18]Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel:
Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI 2017: 80-92 - 2016
- [j8]Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, Dimitris N. Metaxas:
Video Classification via Weakly Supervised Sequence Modeling. Comput. Vis. Image Underst. 152: 79-87 (2016) - [j7]Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas:
An efficient conditional random field approach for automatic and interactive neuron segmentation. Medical Image Anal. 27: 31-44 (2016) - [c17]Chao Chen, Novi Quadrianto:
Clustering High Dimensional Categorical Data via Topographical Features. ICML 2016: 2732-2740 - [c16]Cong Chen, Changhe Yuan, Chao Chen:
Solving M-Modes Using Heuristic Search. IJCAI 2016: 3584-3590 - 2015
- [j6]Arjun Jain, Chao Chen, Thorsten Thormählen, Dimitris N. Metaxas, Hans-Peter Seidel:
Multi-layer stencil creation from images. Comput. Graph. 48: 11-22 (2015) - [c15]Scott Kulp, Chao Chen, Dimitris N. Metaxas, Leon Axel:
Ventricular blood flow analysis using topological methods. ISBI 2015: 663-666 - 2014
- [c14]Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel:
Morphological analysis of the papillary muscles and the trabeculae. ISBI 2014: 373-376 - [c13]Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas:
Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation. MICCAI (1) 2014: 97-105 - [c12]Chao Chen, Han Liu, Dimitris N. Metaxas, Tianqi Zhao:
Mode Estimation for High Dimensional Discrete Tree Graphical Models. NIPS 2014: 1323-1331 - 2013
- [j5]Chao Chen, Michael Kerber:
An output-sensitive algorithm for persistent homology. Comput. Geom. 46(4): 435-447 (2013) - [c11]Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert:
Computing the M Most Probable Modes of a Graphical Model. AISTATS 2013: 161-169 - [c10]Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel:
Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. IPMI 2013: 184-195 - [c9]Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas:
Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. MICCAI (2) 2013: 157-164 - 2012
- [c8]Novi Quadrianto, Chao Chen, Christoph H. Lampert:
The Most Persistent Soft-Clique in a Set of Sampled Graphs. ICML 2012 - [c7]Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang:
Annotating Simplices with a Homology Basis and Its Applications. SWAT 2012: 189-200 - [i5]Novi Quadrianto, Chao Chen, Christoph H. Lampert:
The Most Persistent Soft-Clique in a Set of Sampled Graphs. CoRR abs/1206.4652 (2012) - 2011
- [j4]Yu Sheng, Barbara Cutler, Chao Chen, Joshua D. Nasman:
Perceptual Global Illumination Cancellation in Complex Projection Environments. Comput. Graph. Forum 30(4): 1261-1268 (2011) - [j3]Chao Chen, Daniel Freedman:
Hardness Results for Homology Localization. Discret. Comput. Geom. 45(3): 425-448 (2011) - [c6]Chao Chen, Michael Kerber:
An output-sensitive algorithm for persistent homology. SCG 2011: 207-216 - [c5]Chao Chen, Daniel Freedman, Christoph H. Lampert:
Enforcing topological constraints in random field image segmentation. CVPR 2011: 2089-2096 - [c4]Chao Chen, Herbert Edelsbrunner:
Diffusion runs low on persistence fast. ICCV 2011: 423-430 - [i4]Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang:
Annotating Simplices with a Homology Basis and Its Applications. CoRR abs/1107.3793 (2011) - 2010
- [j2]Chao Chen, Daniel Freedman:
Measuring and computing natural generators for homology groups. Comput. Geom. 43(2): 169-181 (2010) - [c3]Chao Chen, Daniel Freedman:
Topology Noise Removal for Curve and Surface Evolution. MCV 2010: 31-42 - [c2]Chao Chen, Daniel Freedman:
Hardness Results for Homology Localization. SODA 2010: 1594-1604
2000 – 2009
- 2009
- [b1]Chao Chen:
Algorithms and hardness results in computational homology. Rensselaer Polytechnic Institute, USA, 2009 - 2008
- [c1]Chao Chen, Daniel Freedman:
Quantifying Homology Classes. STACS 2008: 169-180 - [i3]Chao Chen, Daniel Freedman:
Quantifying Homology Classes. CoRR abs/0802.2865 (2008) - 2007
- [i2]Daniel Freedman, Chao Chen:
Measuring and Localing Homology Classes. CoRR abs/0705.3061 (2007) - [i1]Chao Chen, Daniel Freedman:
Quantifying Homology Classes II: Localization and Stability. CoRR abs/0709.2512 (2007) - 2006
- [j1]Chao Chen, Ho-Lun Cheng:
Superimposing Voronoi Complexes for Shape Deformation. Int. J. Comput. Geom. Appl. 16(2-3): 159-174 (2006)
Coauthor Index
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