Chao Chen - RankMe

197 papers A* 44A 8B 1Misc 1Journal 99Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning. CoRR Wentao Huang, Weimin Lyu, Peiliang Lou, Qingqiao Hu, Xiaoling Hu, Shahira Abousamra, Wenchao Han, Ruifeng Guo, Jiawei Zhou, Chao Chen, Chen Wang
2026	J	`jnl`	Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images. IEEE Trans. Medical Imaging Shahira Abousamra, Danielle Fassler, Rajarsi Gupta, Tahsin Kurc, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth R. Shroyer, Joel H. Saltz, Chao Chen
2026	J	`jnl`	Text-Driven Weakly Supervised OCT Lesion Segmentation With Structural Guidance. IEEE J. Biomed. Health Informatics Jiaqi Yang, Nitish Mehta, Xiaoling Hu, Chao Chen, Chia-Ling Tsai
2026	J	`jnl`	Topo-R1: Detecting Topological Anomalies via Vision-Language Models. CoRR Meilong Xu, Qingqiao Hu, Xiaoling Hu, Shahira Abousamra, Xin Yu, Weimin Lyu, Kehan Qi, Dimitris Samaras, Chao Chen
2026	J	`jnl`	Vessel-Aware Deep Learning for OCTA-Based Detection of AMD. CoRR Margalit G. Mitzner, Moinak Bhattacharya, Zhilin Zou, Chao Chen, Prateek Prasanna
2025	J	`jnl`	A Theoretical Study of Neural Network Expressive Power via Manifold Topology. Trans. Mach. Learn. Res. Jiachen Yao, Lingjie Yi, Mayank Goswami, Chao Chen
2025	A*	`conf`	Backdooring Vision-Language Models with Out-Of-Distribution Data. ICLR Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
2025	J	`jnl`	BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis. CoRR Moinak Bhattacharya, Saumya Gupta, Annie Singh, Chao Chen, Gagandeep Singh, Prateek Prasanna
2025	J	`jnl`	Bézier Meets Diffusion: Robust Generation Across Domains for Medical Image Segmentation. CoRR Chen Li, Meilong Xu, Xiaoling Hu, Weimin Lyu, Chao Chen
2025	J	`jnl`	Enhancing Graph Representation Learning with Localized Topological Features. CoRR Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2025	J	`jnl`	Enhancing Graph Representation Learning with Localized Topological Features. J. Mach. Learn. Res. Zuoyu Yan, Qi Zhao, Ze Ye, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2025	A*	`conf`	Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions. ICLR Lingjie Yi, Jiachen Yao, Weimin Lyu, Haibin Ling, Raphael Douady, Chao Chen
2025	J	`jnl`	ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer. CoRR Moinak Bhattacharya, Judy Huang, Amna F. Sher, Gagandeep Singh, Chao Chen, Prateek Prasanna
2025	J	`jnl`	LoC-Path: Learning to Compress for Pathology Multimodal Large Language Models. CoRR Qingqiao Hu, Weimin Lyu, Meilong Xu, Kehan Qi, Xiaoling Hu, Saumya Gupta, Jiawei Zhou, Chao Chen
2025	J	`jnl`	MATCH: Multi-faceted Adaptive Topo-Consistency for Semi-Supervised Histopathology Segmentation. CoRR Meilong Xu, Xiaoling Hu, Shahira Abousamra, Chen Li, Chao Chen
2025	A*	`conf`	MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images. CVPR Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen
2025	A	`conf`	PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots. WACV Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen
2025	J	`jnl`	RB-FT: Rationale-Bootstrapped Fine-Tuning for Video Classification. CoRR Meilong Xu, Di Fu, Jiaxing Zhang, Gong Yu, Jiayu Zheng, Xiaoling Hu, Dongdi Zhao, Feiyang Li, Chao Chen, Yong Cao
2025	A*	`conf`	TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. CVPR Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen
2025	A*	`conf`	TopoDiffusionNet: A Topology-aware Diffusion Model. ICLR Saumya Gupta, Dimitris Samaras, Chao Chen
2025	J	`jnl`	TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. Medical Image Anal. Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen
2025	—	`ed.`	Topology- and Graph-Informed Imaging Informatics - First International Workshop, TGI3 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings TGI3@MICCAI Chao Chen, Yash Singh, Xiaoling Hu
2025	B	`conf`	Topology-Aware Conditional Latent Diffusion for Multi-View Fundus Image Synthesis. CHASE Gözde Merve Demirci, Jiaqi Yang, Hyun Sung Song, Chao Chen, Wei-Chi Wu, Chia-Ling Tsai
2024	J	`jnl`	A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT Segmentation. CoRR Jiaqi Yang, Nitish Mehta, Xiaoling Hu, Chao Chen, Chia-Ling Tsai
2024	J	`jnl`	A Theoretical Study of Neural Network Expressive Power via Manifold Topology. CoRR Jiachen Yao, Mayank Goswami, Chao Chen
2024	—	`conf`	A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging. TGI3@MICCAI Meiliong Xu, Nate Anderson, Richard M. Levenson, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis. CoRR Gözde Merve Demirci, Jiachen Yao, Ming-Chih Ho, Xiaoling Hu, Wei-Chi Wu, Chao Chen, Chia-Ling Tsai
2024	J	`jnl`	Anomaly-guided weakly supervised lesion segmentation on retinal OCT images. Medical Image Anal. Jiaqi Yang, Nitish Mehta, Gözde Merve Demirci, Xiaoling Hu, Meera S. Ramakrishnan, Mina Naguib, Chao Chen, Chia-Ling Tsai
2024	J	`jnl`	Backdooring Vision-Language Models with Out-Of-Distribution Data. CoRR Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen
2024	J	`jnl`	BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records. CoRR Weimin Lyu, Zexin Bi, Fusheng Wang, Chao Chen
2024	—	`ed.`	Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DALI@MICCAI Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu
2024	—	`conf`	Hard Negative Sample Mining for Whole Slide Image Classification. MICCAI (4) Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Hard Negative Sample Mining for Whole Slide Image Classification. CoRR Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen
2024	J	`jnl`	Learning to Abstain From Uninformative Data. Trans. Mach. Learn. Res. Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
2024	J	`jnl`	Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations. CoRR Lu Pang, Tao Sun, Weimin Lyu, Haibin Ling, Chao Chen
2024	J	`jnl`	MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images. CoRR Aniruddha Ganguly, Debolina Chatterjee, Wentao Huang, Jie Zhang, Alisa Yurovsky, Travis Steele Johnson, Chao Chen
2024	—	`conf`	New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients. BCB Mahmudul Hasan, Ariadna Kim Silva, Shahira Abousamra, Shao-Jun Tang, Prateek Prasanna, Joel H. Saltz, Kevin Gardner, Chao Chen, Alisa Yurovsky
2024	J	`jnl`	RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency. CoRR Wentao Huang, Meilong Xu, Xiaoling Hu, Shahira Abousamra, Aniruddha Ganguly, Saarthak Kapse, Alisa Yurovsky, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Michael L. Miller, Chao Chen
2024	A*	`conf`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2024	J	`jnl`	Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images. CoRR Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen
2024	—	`conf`	Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. MICCAI (4) Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen
2024	—	`conf`	Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency. ECCV (78) Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
2024	—	`conf`	Spatial Diffusion for Cell Layout Generation. MICCAI (4) Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen
2024	J	`jnl`	Spatial Diffusion for Cell Layout Generation. CoRR Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen
2024	—	`conf`	Task-Agnostic Detector for Insertion-Based Backdoor Attacks. NAACL-HLT (Findings) Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen
2024	J	`jnl`	Task-Agnostic Detector for Insertion-Based Backdoor Attacks. CoRR Weimin Lyu, Xiao Lin, Songzhu Zheng, Lu Pang, Haibin Ling, Susmit Jha, Chao Chen
2024	J	`jnl`	TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. CoRR Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen
2024	J	`jnl`	TopoDiffusionNet: A Topology-aware Diffusion Model. CoRR Saumya Gupta, Dimitris Samaras, Chao Chen
2024	J	`jnl`	TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. CoRR Fan Wang, Zhilin Zou, Nicole Sakla, Luke Partyka, Nil Rawal, Gagandeep Singh, Wei Zhao, Haibin Ling, Chuan Huang, Prateek Prasanna, Chao Chen
2024	—	`conf`	TrojVLM: Backdoor Attack Against Vision Language Models. ECCV (65) Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen
2024	J	`jnl`	TrojVLM: Backdoor Attack Against Vision Language Models. CoRR Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen
2024	—	`conf`	Uncertainty Estimation for Tumor Prediction with Unlabeled Data. CVPR Workshops Juyoung Yun, Shahira Abousamra, Chen Li, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Alison L. Van Dyke, Joel H. Saltz, Chao Chen
2023	J	`jnl`	An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction. Artif. Intell. Medicine Xinyu Dong, Rachel Wong, Weimin Lyu, Kayley Abell-Hart, Jianyuan Deng, Janos G. Hajagos, Richard N. Rosenthal, Chao Chen, Fusheng Wang
2023	—	`conf`	Attention-Enhancing Backdoor Attacks Against BERT-based Models. EMNLP (Findings) Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
2023	J	`jnl`	Attention-Enhancing Backdoor Attacks Against BERT-based Models. CoRR Weimin Lyu, Songzhu Zheng, Lu Pang, Haibin Ling, Chao Chen
2023	A*	`conf`	Backdoor Cleansing with Unlabeled Data. CVPR Lu Pang, Tao Sun, Haibin Ling, Chao Chen
2023	A*	`conf`	Calibrating Uncertainty for Semi-Supervised Crowd Counting. ICCV Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
2023	J	`jnl`	Calibrating Uncertainty for Semi-Supervised Crowd Counting. CoRR Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen
2023	A*	`conf`	Confidence Estimation Using Unlabeled Data. ICLR Chen Li, Xiaoling Hu, Chao Chen
2023	J	`jnl`	Confidence Estimation Using Unlabeled Data. CoRR Chen Li, Xiaoling Hu, Chao Chen
2023	—	`conf`	Cycle Invariant Positional Encoding for Graph Representation Learning. LoG Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
2023	J	`jnl`	Cycle Invariant Positional Encoding for Graph Representation Learning. CoRR Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen, Yusu Wang
2023	J	`jnl`	Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. CoRR Aishik Konwer, Xiaoling Hu, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2023	A*	`conf`	Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. ICCV Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
2023	A*	`conf`	Learning Probabilistic Topological Representations Using Discrete Morse Theory. ICLR Xiaoling Hu, Dimitris Samaras, Chao Chen
2023	J	`jnl`	Learning to Abstain From Uninformative Data. CoRR Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen
2023	A*	`conf`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. ICLR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Learning to Segment from Noisy Annotations: A Spatial Correction Approach. CoRR Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen
2023	—	`conf`	MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. MLMI@MICCAI (1) Aishik Konwer, Chao Chen, Prateek Prasanna
2023	J	`jnl`	Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2023	J	`jnl`	Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder. CoRR Tao Sun, Lu Pang, Chao Chen, Haibin Ling
2023	J	`jnl`	SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CoRR Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, Maria Vakalopoulou, Joel H. Saltz, Dimitris Samaras, Rajarsi R. Gupta, Prateek Prasanna
2023	J	`jnl`	TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. CoRR Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen
2023	A*	`conf`	Topology-Aware Uncertainty for Image Segmentation. NeurIPS Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2023	J	`jnl`	Topology-Aware Uncertainty for Image Segmentation. CoRR Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen
2023	A*	`conf`	Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CVPR Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2023	J	`jnl`	Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. CoRR Shahira Abousamra, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2023	—	`conf`	Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images. MIDL 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
2022	A	`conf`	A Manifold View of Adversarial Risk. AISTATS Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2022	J	`jnl`	A Manifold View of Adversarial Risk. CoRR Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas
2022	Misc	`conf`	A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. AMIA Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fushen Wang, Chao Chen
2022	J	`jnl`	A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. CoRR Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fusheng Wang, Chao Chen
2022	J	`jnl`	A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. CoRR 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
2022	—	`conf`	A Study of the Attention Abnormality in Trojaned BERTs. NAACL-HLT Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
2022	J	`jnl`	A Study of the Attention Abnormality in Trojaned BERTs. CoRR Weimin Lyu, Songzhu Zheng, Tengfei Ma, Chao Chen
2022	J	`jnl`	A Topology-Attention ConvLSTM Network and Its Application to EM Images. CoRR Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
2022	J	`jnl`	Attention Hijacking in Trojan Transformers. CoRR Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen
2022	J	`jnl`	Backdoor Cleansing with Unlabeled Data. CoRR Lu Pang, Tao Sun, Haibin Ling, Chao Chen
2022	A*	`conf`	Cycle Representation Learning for Inductive Relation Prediction. ICML Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2022	A*	`conf`	GPU Computation of the Euler Characteristic Curve for Imaging Data. SoCG Fan Wang, Hubert Wagner, Chao Chen
2022	J	`jnl`	GPU Computation of the Euler Characteristic Curve for Imaging Data. CoRR Fan Wang, Hubert Wagner, Chao Chen
2022	J	`jnl`	GPU computation of the Euler characteristic curve for imaging data. J. Comput. Geom. Fan Wang, Hubert Wagner, Chao Chen
2022	J	`jnl`	Learning Probabilistic Structural Representation for Biomedical Image Segmentation. CoRR Xiaoling Hu, Dimitris Samaras, Chao Chen
2022	—	`conf`	Learning Topological Interactions for Multi-Class Medical Image Segmentation. ECCV (29) 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
2022	J	`jnl`	Learning Topological Interactions for Multi-Class Medical Image Segmentation. CoRR 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
2022	J	`jnl`	Neural Approximation of Extended Persistent Homology on Graphs. CoRR Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2022	A*	`conf`	Neural Approximation of Graph Topological Features. NeurIPS Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
2022	J	`jnl`	On the Convergence of Optimizing Persistent-Homology-Based Losses. CoRR Yikai Zhang, Jiachen Yao, Yusu Wang, Chao Chen
2022	J	`jnl`	Representational coding of overt and covert orienting of visuospatial attention in the frontoparietal network. NeuroImage Tingting Wu, Melissa-Ann Mackie, Chao Chen, Jin Fan
2022	A	`conf`	Stability of SGD: Tightness analysis and improved bounds. UAI Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
2022	A*	`conf`	Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CVPR Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2022	J	`jnl`	Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. CoRR Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
2022	A*	`conf`	Trigger Hunting with a Topological Prior for Trojan Detection. ICLR Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
2021	—	`conf`	3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. ISBI Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
2021	J	`jnl`	A Topological View of Rule Learning in Knowledge Graphs. CoRR Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021	—	`conf`	A Topological-Attention ConvLSTM Network and Its Application to EM Images. MICCAI (1) Jiaqi Yang, Xiaoling Hu, Chao Chen, Chialing Tsai
2021	J	`jnl`	Image Segmentation with Homotopy Warping. CoRR Xiaoling Hu, Chao Chen
2021	A*	`conf`	Learning with Feature-Dependent Label Noise: A Progressive Approach. ICLR Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
2021	J	`jnl`	Learning with Feature-Dependent Label Noise: A Progressive Approach. CoRR Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
2021	A*	`conf`	Link Prediction with Persistent Homology: An Interactive View. ICML Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021	A*	`conf`	Localization in the Crowd with Topological Constraints. AAAI Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
2021	A*	`conf`	Multi-Class Cell Detection Using Spatial Context Representation. ICCV Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2021	J	`jnl`	Multi-Class Cell Detection Using Spatial Context Representation. CoRR Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen
2021	J	`jnl`	Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. Weihao Zheng, Tehila Eilam-Stock, Tingting Wu, Alfredo Spagna, Chao Chen, Bin Hu, Jin Fan
2021	J	`jnl`	Persistence Homology for Link Prediction: An Interactive View. CoRR Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Chao Chen
2021	J	`jnl`	Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study. J. Comput. Geom. Andrew Aukerman, Mathieu Carrière, Chao Chen, Kevin Gardner, Raúl Rabadán, Rami Vanguri
2021	—	`conf`	Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. MIDL Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel H. Saltz, Prateek Prasanna
2021	J	`jnl`	Stability of SGD: Tightness Analysis and Improved Bounds. CoRR Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami
2021	—	`conf`	TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. IPMI Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2021	J	`jnl`	TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. CoRR Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen
2021	A*	`conf`	Topological Detection of Trojaned Neural Networks. NeurIPS Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
2021	J	`jnl`	Topological Detection of Trojaned Neural Networks. CoRR Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen
2021	A*	`conf`	Topology-Aware Segmentation Using Discrete Morse Theory. ICLR Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
2021	J	`jnl`	Topology-Aware Segmentation Using Discrete Morse Theory. CoRR Xiaoling Hu, Yusu Wang, Fuxin Li, Dimitris Samaras, Chao Chen
2021	J	`jnl`	Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen
2021	J	`jnl`	Trigger Hunting with a Topological Prior for Trojan Detection. CoRR Xiaoling Hu, Xiao Lin, Michael Cogswell, Yi Yao, Susmit Jha, Chao Chen
2020	A*	`conf`	A Topological Filter for Learning with Label Noise. NeurIPS Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
2020	J	`jnl`	A Topological Filter for Learning with Label Noise. CoRR Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
2020	—	`conf`	Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. ECCV Workshops (1) 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
2020	A*	`conf`	Curvature Graph Network. ICLR Ze Ye, Kin Sum Liu, Tengfei Ma, Jie Gao, Chao Chen
2020	A*	`conf`	Deep Variational Instance Segmentation. NeurIPS Jialin Yuan, Chao Chen, Fuxin Li
2020	J	`jnl`	Deep Variational Instance Segmentation. CoRR Jialin Yuan, Chao Chen, Fuxin Li
2020	—	`conf`	Efficient Heuristic Search for M-Modes Inference. PGM Cong Chen, Changhe Yuan, Chao Chen
2020	A*	`conf`	Error-Bounded Correction of Noisy Labels. ICML Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
2020	J	`jnl`	Error-Bounded Correction of Noisy Labels. CoRR Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen
2020	—	`conf`	Learn Distributed GAN with Temporary Discriminators. ECCV (27) Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020	J	`jnl`	Learn distributed GAN with Temporary Discriminators. CoRR Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas
2020	A*	`conf`	Local Regularizer Improves Generalization. AAAI Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen
2020	J	`jnl`	Localization in the Crowd with Topological Constraints. CoRR Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen
2020	A	`conf`	Persistence Enhanced Graph Neural Network. AISTATS Qi Zhao, Ze Ye, Chao Chen, Yusu Wang
2020	A*	`conf`	Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study. SoCG Andrew Aukerman, Mathieu Carrière, Chao Chen, Kevin Gardner, Raúl Rabadán, Rami Vanguri
2020	—	`conf`	Solving Multiple Inference by Minimizing Expected Loss. PGM Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan
2020	A*	`conf`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	J	`jnl`	Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas
2020	—	`conf`	TopoGAN: A Topology-Aware Generative Adversarial Network. ECCV (3) Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen
2020	—	`conf`	Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. ISBI 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
2019	A	`conf`	A Topological Regularizer for Classifiers via Persistent Homology. AISTATS Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
2019	J	`jnl`	An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Trans. Image Process. Suwichaya Suwanwimolkul, Lei Zhang, Dong Gong, Zhen Zhang, Chao Chen, Damith Chinthana Ranasinghe, Qinfeng (Javen) Shi
2019	—	`conf`	Deep Attentive Feature Learning for Histopathology Image Classification. ISBI Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas
2019	—	`conf`	Diverse Multiple Prediction on Neuron Image Reconstruction. MICCAI (1) Ze Ye, Cong Chen, Changhe Yuan, Chao Chen
2019	A	`conf`	Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. CIKM Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen
2019	—	`conf`	Hardware Acceleration of Persistent Homology Computation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Fan Wang, Chunhua Deng, Bo Yuan, Chao Chen
2019	A*	`conf`	Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen
2019	—	`conf`	Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. MBIA/MFCA@MICCAI Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen
2019	J	`jnl`	Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. CoRR Shahira Abousamra, Le Hou, Rajarsi R. Gupta, Chao Chen, Dimitris Samaras, Tahsin M. Kurç, Rebecca Batiste, Tianhao Zhao, Kenneth Shroyer, Joel H. Saltz
2019	A*	`conf`	Point Cloud Processing via Recurrent Set Encoding. AAAI Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas
2019	J	`jnl`	Point Cloud Processing via Recurrent Set Encoding. CoRR Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas
2019	A*	`conf`	Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas
2019	A*	`conf`	Topology-Preserving Deep Image Segmentation. NeurIPS Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen
2019	J	`jnl`	Topology-Preserving Deep Image Segmentation. CoRR Xiaoling Hu, Fuxin Li, Dimitris Samaras, Chao Chen
2018	—	`conf`	A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. MICCAI (3) Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen
2018	—	`conf`	Solving M-Modes in Loopy Graphs Using Tree Decompositions. PGM Cong Chen, Changhe Yuan, Ze Ye, Chao Chen
2018	J	`jnl`	TopoReg: A Topological Regularizer for Classifiers. CoRR Chao Chen, Xiuyan Ni, Qinxun Bai, Yusu Wang
2017	A*	`conf`	Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). SoCG Chao Chen, Dimitris N. Metaxas, Yusu Wang, Pengxiang Wu
2017	A*	`conf`	Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. ICML Xiuyan Ni, Novi Quadrianto, Yusu Wang, Chao Chen
2017	—	`conf`	Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2016	J	`jnl`	An efficient conditional random field approach for automatic and interactive neuron segmentation. Medical Image Anal. Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas
2016	A*	`conf`	Clustering High Dimensional Categorical Data via Topographical Features. ICML Chao Chen, Novi Quadrianto
2016	A*	`conf`	Solving M-Modes Using Heuristic Search. IJCAI Cong Chen, Changhe Yuan, Chao Chen
2016	J	`jnl`	Video Classification via Weakly Supervised Sequence Modeling. Comput. Vis. Image Underst. Jingjing Liu, Chao Chen, Yan Zhu, Wei Liu, Dimitris N. Metaxas
2015	J	`jnl`	Multi-layer stencil creation from images. Comput. Graph. Arjun Jain, Chao Chen, Thorsten Thormählen, Dimitris N. Metaxas, Hans-Peter Seidel
2015	—	`conf`	Ventricular blood flow analysis using topological methods. ISBI Scott Kulp, Chao Chen, Dimitris N. Metaxas, Leon Axel
2014	—	`conf`	Mode Estimation for High Dimensional Discrete Tree Graphical Models. NIPS Chao Chen, Han Liu, Dimitris N. Metaxas, Tianqi Zhao
2014	—	`conf`	Morphological analysis of the papillary muscles and the trabeculae. ISBI Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Mani Vannan, Sarah Rinehart, Dimitris N. Metaxas, Leon Axel
2014	—	`conf`	Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation. MICCAI (1) Mustafa Gökhan Uzunbas, Chao Chen, Dimitris N. Metaxas
2013	J	`jnl`	An output-sensitive algorithm for persistent homology. Comput. Geom. Chao Chen, Michael Kerber
2013	—	`conf`	Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. MICCAI (2) Mustafa Gökhan Uzunbas, Chao Chen, Shaoting Zhang, Kilian M. Pohl, Kang Li, Dimitris N. Metaxas
2013	A	`conf`	Computing the M Most Probable Modes of a Graphical Model. AISTATS Chao Chen, Vladimir Kolmogorov, Yan Zhu, Dimitris N. Metaxas, Christoph H. Lampert
2013	—	`conf`	Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. IPMI Mingchen Gao, Chao Chen, Shaoting Zhang, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2012	—	`conf`	Annotating Simplices with a Homology Basis and Its Applications. SWAT Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang
2012	J	`jnl`	The Most Persistent Soft-Clique in a Set of Sampled Graphs CoRR Novi Quadrianto, Chao Chen, Christoph H. Lampert
2012	A*	`conf`	The Most Persistent Soft-Clique in a Set of Sampled Graphs. ICML Novi Quadrianto, Chao Chen, Christoph H. Lampert
2011	—	`conf`	An output-sensitive algorithm for persistent homology. SCG Chao Chen, Michael Kerber
2011	J	`jnl`	Annotating Simplices with a Homology Basis and Its Applications CoRR Oleksiy Busaryev, Sergio Cabello, Chao Chen, Tamal K. Dey, Yusu Wang
2011	A*	`conf`	Diffusion runs low on persistence fast. ICCV Chao Chen, Herbert Edelsbrunner
2011	A*	`conf`	Enforcing topological constraints in random field image segmentation. CVPR Chao Chen, Daniel Freedman, Christoph H. Lampert
2011	J	`jnl`	Hardness Results for Homology Localization. Discret. Comput. Geom. Chao Chen, Daniel Freedman
2011	J	`jnl`	Perceptual Global Illumination Cancellation in Complex Projection Environments. Comput. Graph. Forum Yu Sheng, Barbara Cutler, Chao Chen, Joshua D. Nasman
2010	A*	`conf`	Hardness Results for Homology Localization. SODA Chao Chen, Daniel Freedman
2010	J	`jnl`	Measuring and computing natural generators for homology groups. Comput. Geom. Chao Chen, Daniel Freedman
2010	—	`conf`	Topology Noise Removal for Curve and Surface Evolution. MCV Chao Chen, Daniel Freedman
2009	—	`—`	Algorithms and hardness results in computational homology. Chao Chen
2008	J	`jnl`	Quantifying Homology Classes CoRR Chao Chen, Daniel Freedman
2008	A	`conf`	Quantifying Homology Classes. STACS Chao Chen, Daniel Freedman
2007	J	`jnl`	Measuring and Localing Homology Classes CoRR Daniel Freedman, Chao Chen
2007	J	`jnl`	Quantifying Homology Classes II: Localization and Stability CoRR Chao Chen, Daniel Freedman
2006	J	`jnl`	Superimposing Voronoi Complexes for Shape Deformation. Int. J. Comput. Geom. Appl. Chao Chen, Ho-Lun Cheng