Chao Chen

Act Like a Pathologist: Tissue-Aware Whole Slide Image Reasoning CVPR 2026 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions ICLR 2025 MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images CVPR 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots WACV 2025 TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model CVPR 2025 TopoDiffusionNet: A Topology-aware Diffusion Model ICLR 2025 Hard Negative Sample Mining for Whole Slide Image Classification MICCAI 2024 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology CVPR 2024 Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images MICCAI 2024 Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency ECCV 2024 Spatial Diffusion for Cell Layout Generation MICCAI 2024 Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 TrojVLM: Backdoor Attack Against Vision Language Models ECCV 2024 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 Backdoor Cleansing With Unlabeled Data CVPR 2023 Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023 Confidence Estimation Using Unlabeled Data ICLR 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 Learning Probabilistic Topological Representations Using Discrete Morse Theory ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach ICLR 2023 Topology-Aware Uncertainty for Image Segmentation NeurIPS 2023 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology CVPR 2023 Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images MIDL 2023 A Manifold View of Adversarial Risk AISTATS 2022 A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022 Cycle Representation Learning for Inductive Relation Prediction ICML 2022 Learning Topological Interactions for Multi-Class Medical Image Segmentation ECCV 2022 Neural Approximation of Graph Topological Features NeurIPS 2022 Stability of SGD: Tightness analysis and improved bounds UAI 2022 Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022 Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022 Learning with Feature-Dependent Label Noise: A Progressive Approach ICLR 2021 Link Prediction with Persistent Homology: An Interactive View ICML 2021 Localization in the Crowd with Topological Constraints AAAI 2021 Multi-Class Cell Detection Using Spatial Context Representation ICCV 2021 Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network MIDL 2021 Topological Detection of Trojaned Neural Networks NeurIPS 2021 Topology-Aware Segmentation Using Discrete Morse Theory ICLR 2021 A Topological Filter for Learning with Label Noise NeurIPS 2020 Curvature Graph Network ICLR 2020 Deep Variational Instance Segmentation NeurIPS 2020 Efficient Heuristic Search for M-Modes Inference PGM 2020 Error-Bounded Correction of Noisy Labels ICML 2020 Learn distributed GAN with Temporary Discriminators ECCV 2020 Local Regularizer Improves Generalization AAAI 2020 Persistence Enhanced Graph Neural Network AISTATS 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 TopoGAN: A Topology-Aware Generative Adversarial Network ECCV 2020 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019 Point Cloud Processing via Recurrent Set Encoding AAAI 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019 Topology-Preserving Deep Image Segmentation NeurIPS 2019 Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 Clustering High Dimensional Categorical Data via Topographical Features ICML 2016 Solving M-Modes Using Heuristic Search IJCAI 2016 Mode Estimation for High Dimensional Discrete Tree Graphical Models NeurIPS 2014 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013