Chao Chen

EDSD: Entropy-Driven Design for Faster Speculative Decoding ACL 2026 Improved Streaming Algorithm for Fair k-Center Clustering AAAI 2026 Optimized Algorithms for Text Clustering with LLM-Generated Constraints AAAI 2026 CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction AAAI 2026 FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance AAAI 2026 MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation AAAI 2026 DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis AAAI 2026 From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026 Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach AAAI 2026 Wasserstein-Regularized Conformal Prediction under General Distribution Shift ICLR 2025 TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model CVPR 2025 MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images CVPR 2025 SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs CVPR 2025 Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification CVPR 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation CVPR 2025 OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection ICCV 2025 FinEval-KR: A Financial Domain Evaluation Framework for Large Language Models’ Knowledge and Reasoning EMNLP 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots WACV 2025 Sharpening Neural Implicit Functions with Frequency Consolidation Priors AAAI 2025 MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction AAAI 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks AAAI 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 TopoDiffusionNet: A Topology-aware Diffusion Model ICLR 2025 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025 ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL ICLR 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions ICLR 2025 SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology CVPR 2024 Sketch and Refine: Towards Fast and Accurate Lane Detection AAAI 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 Training for Stable Explanation for Free NIPS 2024 CTSM: Combining Trait and State Emotions for Empathetic Response Model COLING 2024 MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step NIPS 2024 Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024 An Iterative Associative Memory Model for Empathetic Response Generation ACL 2024 Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024 OWL: A Large Language Model for IT Operations ICLR 2024 Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World IJCAI 2024 Enhancing LLM’s Cognition via Structurization NIPS 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NIPS 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ICLR 2024 Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 Spatial Diffusion for Cell Layout Generation MICCAI 2024 Semi-Supervised Contrastive VAE for Disentanglement of Digital Pathology Images MICCAI 2024 Hard Negative Sample Mining for Whole Slide Image Classification MICCAI 2024 Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes ECCV 2024 TrojVLM: Backdoor Attack Against Vision Language Models ECCV 2024 Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency ECCV 2024 Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images MIDL 2023 Topology-Aware Uncertainty for Image Segmentation NIPS 2023 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NIPS 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NIPS 2023 From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-resolution AAAI 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation AAAI 2023 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023 Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023 A Novel Counterfactual Data Augmentation Method for Aspect-Based Sentiment Analysis ACML 2023 Backdoor Cleansing With Unlabeled Data CVPR 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023 Topology-Guided Multi-Class Cell Context Generation for Digital Pathology CVPR 2023 Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors CVPR 2023 Attention-Enhancing Backdoor Attacks Against BERT-based Models EMNLP 2023 Calibrating Uncertainty for Semi-Supervised Crowd Counting ICCV 2023 Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation ICCV 2023 UniFusion: Unified Multi-View Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View ICCV 2023 GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds ICCV 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution ICLR 2023 Confidence Estimation Using Unlabeled Data ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach ICLR 2023 Learning Probabilistic Topological Representations Using Discrete Morse Theory ICLR 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023 Latent Partition Implicit with Surface Codes for 3D Representation ECCV 2022 A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022 Cycle Representation Learning for Inductive Relation Prediction ICML 2022 ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement ECCV 2022 A Manifold View of Adversarial Risk AISTATS 2022 PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation ECCV 2022 SeqTR: A Simple Yet Universal Network for Visual Grounding ECCV 2022 Learning Topological Interactions for Multi-Class Medical Image Segmentation ECCV 2022 Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022 Neural Approximation of Graph Topological Features NIPS 2022 Stability of SGD: Tightness analysis and improved bounds UAI 2022 DIFNet: Boosting Visual Information Flow for Image Captioning CVPR 2022 Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022 Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation ICML 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 Structure Guided Lane Detection IJCAI 2021 Localization in the Crowd with Topological Constraints AAAI 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021 Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching ICCV 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach ICLR 2021 Topology-Aware Segmentation Using Discrete Morse Theory ICLR 2021 Topological Detection of Trojaned Neural Networks NIPS 2021 Link Prediction with Persistent Homology: An Interactive View ICML 2021 Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation CVPR 2020 TopoGAN: A Topology-Aware Generative Adversarial Network ECCV 2020 Curvature Graph Network ICLR 2020 A Topological Filter for Learning with Label Noise NIPS 2020 Deep Variational Instance Segmentation NIPS 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation CVPR 2020 DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images ICML 2020 Error-Bounded Correction of Noisy Labels ICML 2020 Persistence Enhanced Graph Neural Network AISTATS 2020 SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 Efficient Heuristic Search for M-Modes Inference PGM 2020 Local Regularizer Improves Generalization AAAI 2020 Learn distributed GAN with Temporary Discriminators ECCV 2020 HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation AAAI 2020 Point Cloud Processing via Recurrent Set Encoding AAAI 2019 Topology-Preserving Deep Image Segmentation NIPS 2019 Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI 2019 ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis CVPR 2019 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 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 Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017 Low-Rank Matrix Approximation with Stability ICML 2016 Solving M-Modes Using Heuristic Search IJCAI 2016 Clustering High Dimensional Categorical Data via Topographical Features ICML 2016 Mode Estimation for High Dimensional Discrete Tree Graphical Models NIPS 2014 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013