Superimposing Voronoi Complexes for Shape Deformation. - Chao Chen 012; Ho-Lun Cheng (Int. J. Comput. Geom. Appl., 2006)

Measuring and Localing Homology Classes - Daniel Freedman; Chao Chen 012 (CoRR, 2007)

Quantifying Homology Classes II: Localization and Stability - Chao Chen 012; Daniel Freedman (CoRR, 2007)

Quantifying Homology Classes. - Chao Chen 012; Daniel Freedman (STACS, 2008)

Algorithms and hardness results in computational homology. - Chao Chen 012 (2009)

Topology Noise Removal for Curve and Surface Evolution. - Chao Chen 012; Daniel Freedman (MCV, 2010)

Measuring and computing natural generators for homology groups. - Chao Chen 012; Daniel Freedman (Comput. Geom., 2010)

Enforcing topological constraints in random field image segmentation. - Chao Chen 012; Daniel Freedman; Christoph H. Lampert (CVPR, 2011)

Diffusion runs low on persistence fast. - Chao Chen 012; Herbert Edelsbrunner (ICCV, 2011)

Perceptual Global Illumination Cancellation in Complex Projection Environments. - Yu Sheng; Barbara Cutler; Chao Chen 012; Joshua D. Nasman (Comput. Graph. Forum, 2011)

Hardness Results for Homology Localization. - Chao Chen 012; Daniel Freedman (Discret. Comput. Geom., 2011)

The Most Persistent Soft-Clique in a Set of Sampled Graphs. - Novi Quadrianto; Chao Chen 012; Christoph H. Lampert (ICML, 2012)

Annotating Simplices with a Homology Basis and Its Applications. - Oleksiy Busaryev; Sergio Cabello; Chao Chen 012; Tamal K. Dey; Yusu Wang 001 (SWAT, 2012)

Computing the M Most Probable Modes of a Graphical Model. - Chao Chen 012; Vladimir Kolmogorov; Yan Zhu 009; Dimitris N. Metaxas; Christoph H. Lampert (AISTATS, 2013)

Segmenting the Papillary Muscles and the Trabeculae from High Resolution Cardiac CT through Restoration of Topological Handles. - Mingchen Gao; Chao Chen 012; Shaoting Zhang 001; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2013)

Collaborative Multi Organ Segmentation by Integrating Deformable and Graphical Models. - Mustafa Gökhan Uzunbas; Chao Chen 012; Shaoting Zhang 001; Kilian M. Pohl; Kang Li 004; Dimitris N. Metaxas (MICCAI (2), 2013)

An output-sensitive algorithm for persistent homology. - Chao Chen 012; Michael Kerber (Comput. Geom., 2013)

Morphological analysis of the papillary muscles and the trabeculae. - Mingchen Gao; Chao Chen 012; Shaoting Zhang 001; Zhen Qian; Mani Vannan; Sarah Rinehart; Dimitris N. Metaxas; Leon Axel (ISBI, 2014)

Optree: A Learning-Based Adaptive Watershed Algorithm for Neuron Segmentation. - Mustafa Gökhan Uzunbas; Chao Chen 012; Dimitris N. Metaxas (MICCAI (1), 2014)

Mode Estimation for High Dimensional Discrete Tree Graphical Models. - Chao Chen 012; Han Liu 001; Dimitris N. Metaxas; Tianqi Zhao (NIPS, 2014)

Ventricular blood flow analysis using topological methods. - Scott Kulp; Chao Chen 012; Dimitris N. Metaxas; Leon Axel (ISBI, 2015)

Multi-layer stencil creation from images. - Arjun Jain; Chao Chen 012; Thorsten Thormählen; Dimitris N. Metaxas; Hans-Peter Seidel (Comput. Graph., 2015)

Clustering High Dimensional Categorical Data via Topographical Features. - Chao Chen 012; Novi Quadrianto (ICML, 2016)

Solving M-Modes Using Heuristic Search. - Cong Chen 008; Changhe Yuan; Chao Chen 012 (IJCAI, 2016)

Video Classification via Weakly Supervised Sequence Modeling. - Jingjing Liu 001; Chao Chen 012; Yan Zhu 009; Wei Liu 005; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2016)

An efficient conditional random field approach for automatic and interactive neuron segmentation. - Mustafa Gökhan Uzunbas; Chao Chen 012; Dimitris N. Metaxas (Medical Image Anal., 2016)

Cardiac Trabeculae Segmentation: an Application of Computational Topology (Multimedia Contribution). - Chao Chen 012; Dimitris N. Metaxas; Yusu Wang 001; Pengxiang Wu (SoCG, 2017)

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data. - Xiuyan Ni; Novi Quadrianto; Yusu Wang 001; Chao Chen 012 (ICML, 2017)

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. - Pengxiang Wu; Chao Chen 012; Yusu Wang 001; Shaoting Zhang 001; Changhe Yuan; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2017)

A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. - Xiuyan Ni; Zhennan Yan; Tingting Wu 002; Jin Fan; Chao Chen 012 (MICCAI (3), 2018)

Solving M-Modes in Loopy Graphs Using Tree Decompositions. - Cong Chen 008; Changhe Yuan; Ze Ye; Chao Chen 012 (PGM, 2018)

TopoReg: A Topological Regularizer for Classifiers. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (CoRR, 2018)

Point Cloud Processing via Recurrent Set Encoding. - Pengxiang Wu; Chao Chen 012; Jingru Yi; Dimitris N. Metaxas (AAAI, 2019)

A Topological Regularizer for Classifiers via Persistent Homology. - Chao Chen 012; Xiuyan Ni; Qinxun Bai; Yusu Wang 001 (AISTATS, 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 012 (CIKM, 2019)

Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. - Yikai Zhang 003; Hui Qu; Chao Chen 012; Dimitris N. Metaxas (IJCAI, 2019)

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. - Xudong Zhang 004; Pengxiang Wu; Changhe Yuan; Yusu Wang 001; Dimitris N. Metaxas; Chao Chen 012 (IJCAI, 2019)

Deep Attentive Feature Learning for Histopathology Image Classification. - Pengxiang Wu; Hui Qu; Jingru Yi; Qiaoying Huang; Chao Chen 012; Dimitris N. Metaxas (ISBI, 2019)

Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. - Xiuyan Ni; Tian Gao; Tingting Wu 002; Jin Fan; Chao Chen 012 (MBIA/MFCA@MICCAI, 2019)

Hardware Acceleration of Persistent Homology Computation. - Fan Wang 010; Chunhua Deng; Bo Yuan 001; Chao Chen 012 (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Diverse Multiple Prediction on Neuron Image Reconstruction. - Ze Ye; Cong Chen 008; Changhe Yuan; Chao Chen 012 (MICCAI (1), 2019)

Topology-Preserving Deep Image Segmentation. - Xiaoling Hu 002; Fuxin Li; Dimitris Samaras; Chao Chen 012 (NeurIPS, 2019)

Learning from Thresholds: Fully Automated Classification of Tumor Infiltrating Lymphocytes for Multiple Cancer Types. - Shahira Abousamra; Le Hou; Rajarsi R. Gupta; Chao Chen 012; Dimitris Samaras; Tahsin M. Kurç; Rebecca Batiste; Tianhao Zhao; Kenneth Shroyer; Joel H. Saltz (CoRR, 2019)

An Adaptive Markov Random Field for Structured Compressive Sensing. - Suwichaya Suwanwimolkul; Lei Zhang 054; Dong Gong; Zhen Zhang 008; Chao Chen 012; Damith Chinthana Ranasinghe; Qinfeng (Javen) Shi (IEEE Trans. Image Process., 2019)

Local Regularizer Improves Generalization. - Yikai Zhang 003; Hui Qu; Dimitris N. Metaxas; Chao Chen 012 (AAAI, 2020)

Persistence Enhanced Graph Neural Network. - Qi Zhao 007; Ze Ye; Chao Chen 012; Yusu Wang 001 (AISTATS, 2020)

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. - Qi Chang; Hui Qu; Yikai Zhang 003; Mert R. Sabuncu; Chao Chen 012; Tong Zhang 001; Dimitris N. Metaxas (CVPR, 2020)

Automated Assessment of the Curliness of Collagen Fiber in Breast Cancer. - David Paredes; Prateek Prasanna; Christina Preece; Rajarsi Gupta 001; Farzad Fereidouni; Dimitris Samaras; Tahsin M. Kurç; Richard M. Levenson 001; Patricia Thompson-Carino; Joel H. Saltz; Chao Chen 012 (ECCV Workshops (1), 2020)

Learn Distributed GAN with Temporary Discriminators. - Hui Qu; Yikai Zhang 003; Qi Chang; Zhennan Yan; Chao Chen 012; Dimitris N. Metaxas (ECCV (27), 2020)

TopoGAN: A Topology-Aware Generative Adversarial Network. - Fan Wang 010; Huidong Liu; Dimitris Samaras; Chao Chen 012 (ECCV (3), 2020)

Curvature Graph Network. - Ze Ye; Kin Sum Liu; Tengfei Ma 001; Jie Gao 001; Chao Chen 012 (ICLR, 2020)

Error-Bounded Correction of Noisy Labels. - Songzhu Zheng; Pengxiang Wu; Aman Goswami; Mayank Goswami 001; Dimitris N. Metaxas; Chao Chen 012 (ICML, 2020)

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images. - Shahira Abousamra; Danielle Fassler; Le Hou; Yuwei Zhang; Rajarsi Gupta 001; Tahsin M. Kurç; Luisa F. Escobar-Hoyos; Dimitris Samaras; Beatrice Knudson; Kenneth Shroyer; Joel H. Saltz; Chao Chen 012 (ISBI, 2020)

A Topological Filter for Learning with Label Noise. - Pengxiang Wu; Songzhu Zheng; Mayank Goswami 001; Dimitris N. Metaxas; Chao Chen 012 (NeurIPS, 2020)

Deep Variational Instance Segmentation. - Jialin Yuan; Chao Chen 012; Fuxin Li (NeurIPS, 2020)

Solving Multiple Inference by Minimizing Expected Loss. - Cong Chen 008; Jiaqi Yang 007; Chao Chen 012; Changhe Yuan (PGM, 2020)

Efficient Heuristic Search for M-Modes Inference. - Cong Chen 008; Changhe Yuan; Chao Chen 012 (PGM, 2020)

Localization in the Crowd with Topological Constraints. - Shahira Abousamra; Minh Hoai; Dimitris Samaras; Chao Chen 012 (AAAI, 2021)

Multi-Class Cell Detection Using Spatial Context Representation. - Shahira Abousamra; David Belinsky; John S. Van Arnam; Felicia Allard; Eric Yee; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (ICCV, 2021)

Topology-Aware Segmentation Using Discrete Morse Theory. - Xiaoling Hu 002; Yusu Wang 001; Fuxin Li; Dimitris Samaras; Chao Chen 012 (ICLR, 2021)

Learning with Feature-Dependent Label Noise: A Progressive Approach. - Yikai Zhang 003; Songzhu Zheng; Pengxiang Wu; Mayank Goswami 001; Chao Chen 012 (ICLR, 2021)

Link Prediction with Persistent Homology: An Interactive View. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (ICML, 2021)

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. - Fan Wang 010; Saarthak Kapse; Steven Liu; Prateek Prasanna; Chao Chen 012 (IPMI, 2021)

3D Topology-Preserving Segmentation with Compound Multi-Slice Representation. - Jiaqi Yang 007; Xiaoling Hu 002; Chao Chen 012; Chialing Tsai (ISBI, 2021)

A Topological-Attention ConvLSTM Network and Its Application to EM Images. - Jiaqi Yang 007; Xiaoling Hu 002; Chao Chen 012; Chialing Tsai (MICCAI (1), 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 012; Joel H. Saltz; Prateek Prasanna (MIDL, 2021)

Topological Detection of Trojaned Neural Networks. - Songzhu Zheng; Yikai Zhang 003; Hubert Wagner; Mayank Goswami 001; Chao Chen 012 (NeurIPS, 2021)

Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. - Yikai Zhang 003; Hui Qu; Qi Chang; Huidong Liu; Dimitris N. Metaxas; Chao Chen 012 (CoRR, 2021)

Persistence Homology for Link Prediction: An Interactive View. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (CoRR, 2021)

A Topological View of Rule Learning in Knowledge Graphs. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (CoRR, 2021)

Image Segmentation with Homotopy Warping. - Xiaoling Hu 002; Chao Chen 012 (CoRR, 2021)

Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study. - Andrew Aukerman; Mathieu Carrière; Chao Chen 012; Kevin Gardner; Raúl Rabadán; Rami Vanguri (J. Comput. Geom., 2021)

Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder. - Weihao Zheng; Tehila Eilam-Stock; Tingting Wu 002; Alfredo Spagna; Chao Chen 012; Bin Hu 001; Jin Fan (IEEE Trans. Affect. Comput., 2021)

A Manifold View of Adversarial Risk. - Wenjia Zhang; Yikai Zhang 003; Xiaoling Hu 002; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (AISTATS, 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 012 (AMIA, 2022)

Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. - Aishik Konwer; Xuan Xu; Joseph Bae; Chao Chen 012; Prateek Prasanna (CVPR, 2022)

Learning Topological Interactions for Multi-Class Medical Image Segmentation. - Saumya Gupta; Xiaoling Hu 002; James Kaan; Michael Jin; Mutshipay Mpoy; Katherine Chung; Gagandeep Singh; Mary M. Saltz; Tahsin M. Kurç; Joel H. Saltz; Apostolos Tassiopoulos; Prateek Prasanna; et al. (ECCV (29), 2022)

Trigger Hunting with a Topological Prior for Trojan Detection. - Xiaoling Hu 002; Xiao Lin; Michael Cogswell; Yi Yao; Susmit Jha; Chao Chen 012 (ICLR, 2022)

Cycle Representation Learning for Inductive Relation Prediction. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012 (ICML, 2022)

A Study of the Attention Abnormality in Trojaned BERTs. - Weimin Lyu; Songzhu Zheng; Tengfei Ma 001; Chao Chen 012 (NAACL-HLT, 2022)

Neural Approximation of Graph Topological Features. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (NeurIPS, 2022)

Stability of SGD: Tightness analysis and improved bounds. - Yikai Zhang 003; Wenjia Zhang; Sammy Bald; Vamsi Pingali; Chao Chen 012; Mayank Goswami 001 (UAI, 2022)

Neural Approximation of Extended Persistent Homology on Graphs. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

A Topology-Attention ConvLSTM Network and Its Application to EM Images. - Jiaqi Yang 007; Xiaoling Hu 002; Chao Chen 012; Chialing Tsai (CoRR, 2022)

A Manifold View of Adversarial Risk. - Wenjia Zhang; Yikai Zhang 003; Xiaolin Hu 002; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (CoRR, 2022)

A Novel Framework for Characterization of Tumor-Immune Spatial Relationships in Tumor Microenvironment. - Mahmudul Hasan 006; Jakub R. Kaczmarzyk; David Paredes; Lyanne Oblein; Jaymie Oentoro; Shahira Abousamra; Michael Horowitz; Dimitris Samaras; Chao Chen 012; Tahsin M. Kurç; Kenneth R. Shroyer; Joel H. Saltz (CoRR, 2022)

Learning Probabilistic Structural Representation for Biomedical Image Segmentation. - Xiaoling Hu 002; Dimitris Samaras; Chao Chen 012 (CoRR, 2022)

On the Convergence of Optimizing Persistent-Homology-Based Losses. - Yikai Zhang 003; Jiachen Yao; Yusu Wang 001; Chao Chen 012 (CoRR, 2022)

Attention Hijacking in Trojan Transformers. - Weimin Lyu; Songzhu Zheng; Tengfei Ma 001; Haibin Ling; Chao Chen 012 (CoRR, 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 001; Chao Chen 012 (CoRR, 2022)

GPU computation of the Euler characteristic curve for imaging data. - Fan Wang 010; Hubert Wagner; Chao Chen 012 (J. Comput. Geom., 2022)

Representational coding of overt and covert orienting of visuospatial attention in the frontoparietal network. - Tingting Wu 002; Melissa-Ann Mackie; Chao Chen 012; Jin Fan (NeuroImage, 2022)

Backdoor Cleansing with Unlabeled Data. - Lu Pang 006; Tao Sun 009; Haibin Ling; Chao Chen 012 (CVPR, 2023)

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology. - Shahira Abousamra; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Joel H. Saltz; Chao Chen 012 (CVPR, 2023)

Attention-Enhancing Backdoor Attacks Against BERT-based Models. - Weimin Lyu; Songzhu Zheng; Lu Pang 006; Haibin Ling; Chao Chen 012 (EMNLP (Findings), 2023)

Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. - Aishik Konwer; Xiaoling Hu 002; Joseph Bae; Xuan Xu; Chao Chen 012; Prateek Prasanna (ICCV, 2023)

Calibrating Uncertainty for Semi-Supervised Crowd Counting. - Chen Li 045; Xiaoling Hu 002; Shahira Abousamra; Chao Chen 012 (ICCV, 2023)

Learning Probabilistic Topological Representations Using Discrete Morse Theory. - Xiaoling Hu 002; Dimitris Samaras; Chao Chen 012 (ICLR, 2023)

Confidence Estimation Using Unlabeled Data. - Chen Li 045; Xiaoling Hu 002; Chao Chen 012 (ICLR, 2023)

Learning to Segment from Noisy Annotations: A Spatial Correction Approach. - Jiachen Yao; Yikai Zhang 003; Songzhu Zheng; Mayank Goswami 001; Prateek Prasanna; Chao Chen 012 (ICLR, 2023)

Cycle Invariant Positional Encoding for Graph Representation Learning. - Zuoyu Yan; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Chao Chen 012; Yusu Wang 001 (LoG, 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 012 (MIDL, 2023)

MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities. - Aishik Konwer; Chao Chen 012; Prateek Prasanna (MLMI@MICCAI (1), 2023)

Topology-Aware Uncertainty for Image Segmentation. - Saumya Gupta; Yikai Zhang 003; Xiaoling Hu 002; Prateek Prasanna; Chao Chen 012 (NeurIPS, 2023)

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder. - Tao Sun 009; Lu Pang 006; Chao Chen 012; Haibin Ling (CoRR, 2023)

TopoSemiSeg: Enforcing Topological Consistency for Semi-Supervised Segmentation of Histopathology Images. - Meilong Xu; Xiaoling Hu 002; Saumya Gupta; Shahira Abousamra; Chao Chen 012 (CoRR, 2023)

Manifold-driven decomposition for adversarial robustness. - Wenjia Zhang; Yikai Zhang 003; Xiaoling Hu 002; Yi Yao; Mayank Goswami 001; Chao Chen 012; Dimitris N. Metaxas (Frontiers Comput. Sci., 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 012; Fusheng Wang 001 (Artif. Intell. Medicine, 2023)

New Spatial Phenotypes from Imaging Uncover Survival Differences for Breast Cancer Patients. - Mahmudul Hasan 006; Ariadna Kim Silva; Shahira Abousamra; Shao-Jun Tang; Prateek Prasanna; Joel H. Saltz; Kevin Gardner; Chao Chen 012; Alisa Yurovsky (BCB, 2024)

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. - Saarthak Kapse; Pushpak Pati; Srijan Das; Jingwei Zhang; Chao Chen 012; Maria Vakalopoulou; Joel H. Saltz; Dimitris Samaras; Rajarsi R. Gupta; Prateek Prasanna (CVPR, 2024)

Uncertainty Estimation for Tumor Prediction with Unlabeled Data. - Juyoung Yun; Shahira Abousamra; Chen Li 045; Rajarsi Gupta 001; Tahsin M. Kurç; Dimitris Samaras; Alison L. Van Dyke; Joel H. Saltz; Chao Chen 012 (CVPR Workshops, 2024)

TrojVLM: Backdoor Attack Against Vision Language Models. - Weimin Lyu; Lu Pang 006; Tengfei Ma 001; Haibin Ling; Chao Chen 012 (ECCV (65), 2024)

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency. - Meilong Xu; Xiaoling Hu 002; Saumya Gupta; Shahira Abousamra; Chao Chen 012 (ECCV (78), 2024)

Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. - Mahmudul Hasan 006; Xiaoling Hu 002; Shahira Abousamra; Prateek Prasanna; Joel H. Saltz; Chao Chen 012 (MICCAI (4), 2024)

Hard Negative Sample Mining for Whole Slide Image Classification. - Wentao Huang; Xiaoling Hu 002; Shahira Abousamra; Prateek Prasanna; Chao Chen 012 (MICCAI (4), 2024)

Spatial Diffusion for Cell Layout Generation. - Chen Li 045; Xiaoling Hu 002; Shahira Abousamra; Meilong Xu; Chao Chen 012 (MICCAI (4), 2024)

A Topological Comparison of the Fluorescence Imitating Brightfield Imaging and H&E Imaging. - Meiliong Xu; Nate Anderson; Richard M. Levenson 001; Prateek Prasanna; Chao Chen 012 (TGI3@MICCAI, 2024)

Task-Agnostic Detector for Insertion-Based Backdoor Attacks. - Weimin Lyu; Xiao Lin; Songzhu Zheng; Lu Pang 006; Haibin Ling; Susmit Jha; Chao Chen 012 (NAACL-HLT (Findings), 2024)

BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records. - Weimin Lyu; Zexin Bi; Fusheng Wang 001; Chao Chen 012 (CoRR, 2024)

Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations. - Lu Pang 006; Tao Sun 009; Weimin Lyu; Haibin Ling; Chao Chen 012 (CoRR, 2024)

A Theoretical Study of Neural Network Expressive Power via Manifold Topology. - Jiachen Yao; Mayank Goswami 001; Chao Chen 012 (CoRR, 2024)

Adversarial Vessel-Unveiling Semi-Supervised Segmentation for Retinopathy of Prematurity Diagnosis. - Gözde Merve Demirci; Jiachen Yao; Ming-Chih Ho; Xiaoling Hu 002; Wei-Chi Wu; Chao Chen 012; Chia-Ling Tsai (CoRR, 2024)

A Multimodal Approach Combining Structural and Cross-domain Textual Guidance for Weakly Supervised OCT Segmentation. - Jiaqi Yang 007; Nitish Mehta; Xiaoling Hu 002; Chao Chen 012; Chia-Ling Tsai (CoRR, 2024)

RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency. - Wentao Huang; Meilong Xu; Xiaoling Hu 002; Shahira Abousamra; Aniruddha Ganguly; Saarthak Kapse; Alisa Yurovsky; Prateek Prasanna; Tahsin M. Kurç; Joel H. Saltz; Michael L. Miller; Chao Chen 012 (CoRR, 2024)

Anomaly-guided weakly supervised lesion segmentation on retinal OCT images. - Jiaqi Yang 007; Nitish Mehta; Gözde Merve Demirci; Xiaoling Hu 002; Meera S. Ramakrishnan; Mina Naguib; Chao Chen 012; Chia-Ling Tsai (Medical Image Anal., 2024)

Learning to Abstain From Uninformative Data. - Yikai Zhang 003; Songzhu Zheng; Mina Dalirrooyfard; Pengxiang Wu; Anderson Schneider; Anant Raj; Yuriy Nevmyvaka; Chao Chen 012 (Trans. Mach. Learn. Res., 2024)

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images. - Aniruddha Ganguly; Debolina Chatterjee; Wentao Huang; Jie Zhang; Alisa Yurovsky; Travis Steele Johnson; Chao Chen 012 (CVPR, 2025)

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model. - Meilong Xu; Saumya Gupta; Xiaoling Hu 002; Chen Li 045; Shahira Abousamra; Dimitris Samaras; Prateek Prasanna; Chao Chen 012 (CVPR, 2025)

TopoDiffusionNet: A Topology-aware Diffusion Model. - Saumya Gupta; Dimitris Samaras; Chao Chen 012 (ICLR, 2025)

Backdooring Vision-Language Models with Out-Of-Distribution Data. - Weimin Lyu; Jiachen Yao; Saumya Gupta; Lu Pang 006; Tao Sun 009; Lingjie Yi; Lijie Hu; Haibin Ling; Chao Chen 012 (ICLR, 2025)

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions. - Lingjie Yi; Jiachen Yao; Weimin Lyu; Haibin Ling; Raphael Douady; Chao Chen 012 (ICLR, 2025)

PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots. - Lingjie Yi; Tao Sun 009; Yikai Zhang 003; Songzhu Zheng; Weimin Lyu; Haibin Ling; Chao Chen 012 (WACV, 2025)

TopoTxR: A topology-guided deep convolutional network for breast parenchyma learning on DCE-MRIs. - Fan Wang 010; Zhilin Zou; Nicole Sakla; Luke Partyka; Nil Rawal; Gagandeep Singh; Wei Zhao; Haibin Ling; Chuan Huang; Prateek Prasanna; Chao Chen 012 (Medical Image Anal., 2025)

A Theoretical Study of Neural Network Expressive Power via Manifold Topology. - Jiachen Yao; Lingjie Yi; Mayank Goswami 001; Chao Chen 012 (Trans. Mach. Learn. Res., 2025)

Enhancing Graph Representation Learning with Localized Topological Features. - Zuoyu Yan; Qi Zhao 007; Ze Ye; Tengfei Ma 001; Liangcai Gao; Zhi Tang 001; Yusu Wang 001; Chao Chen 012 (CoRR, 2025)

BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis. - Moinak Bhattacharya; Saumya Gupta; Annie Singh; Chao Chen 012; Gagandeep Singh; Prateek Prasanna (CoRR, 2025)

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer. - Moinak Bhattacharya; Judy Huang; Amna F. Sher; Gagandeep Singh; Chao Chen 012; Prateek Prasanna (CoRR, 2025)