← Authors

Chao Chen

127 papers · 2013–2026 · 20 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (20) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (22) 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam πŸ”¬ Deep Specialist (17) πŸ—ƒοΈ Keyword Collector (59) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (21) πŸ’Ž Century Club (119)

Conferences

AAAI (25) NIPS (16) CVPR (16) ICLR (15) ECCV (10) ICML (9) ICCV (7) IJCAI (6) AISTATS (4) MICCAI (3) PGM (3) EMNLP (2) MIDL (2) NAACL (2) ACL (2) COLING (1) ACML (1) JMLR (1) UAI (1) WACV (1)

Top co-authors

Xiaoling Hu (15) Dimitris Samaras (11) Yikai Zhang (11) Shahira Abousamra (10) Yu-Shen Liu (10) Prateek Prasanna (10) Zhizhong Han (10) Songzhu Zheng (9) Dimitris Metaxas (9) Zhihang Fu (9)

Research topics

Privacy (1)

Keywords

graph neural network (9) persistent homology (8) point cloud (8) medical imaging (6) unsupervised learning (6) surface reconstruction (6) graphical model (6) neural network (6) topological data analysis (5) signed distance function (5) contrastive learning (5) attention mechanism (5) representation learning (4) topological feature (4) autonomous driving (4) mode finding (4) semi-supervised learning (4) adversarial learning (4) self-supervised learning (4) object detection (4)

Papers

From Attribution to Action: Jointly ALIGNing Predictions and Explanations AAAI 2026
FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance AAAI 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
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
Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach AAAI 2026
OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection ICCV 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
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
Enhancing Graph Representation Learning with Localized Topological Features JMLR 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
ROPO: Robust Preference Optimization for Large Language Models ICML 2025
TopoDiffusionNet: A Topology-aware Diffusion Model ICLR 2025
Wasserstein-Regularized Conformal Prediction under General Distribution Shift 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
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors NIPS 2024
Sketch and Refine: Towards Fast and Accurate Lane Detection AAAI 2024
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ICLR 2024
Training for Stable Explanation for Free NIPS 2024
CTSM: Combining Trait and State Emotions for Empathetic Response Model COLING 2024
Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
An Iterative Associative Memory Model for Empathetic Response Generation ACL 2024
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step NIPS 2024
Enhancing LLM’s Cognition via Structurization NIPS 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NIPS 2024
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes ECCV 2024
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World IJCAI 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
OWL: A Large Language Model for IT Operations ICLR 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
DIFNet: Boosting Visual Information Flow for Image Captioning CVPR 2022
A Study of the Attention Abnormality in Trojaned BERTs NAACL 2022
Cycle Representation Learning for Inductive Relation Prediction ICML 2022
Latent Partition Implicit with Surface Codes for 3D Representation ECCV 2022
A Manifold View of Adversarial Risk AISTATS 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation AAAI 2022
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement 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
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation ECCV 2022
Neural Approximation of Graph Topological Features NIPS 2022
Stability of SGD: Tightness analysis and improved bounds UAI 2022
Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations CVPR 2022
Topological Detection of Trojaned Neural Networks NIPS 2021
Link Prediction with Persistent Homology: An Interactive View ICML 2021
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network MIDL 2021
Localization in the Crowd with Topological Constraints AAAI 2021
Structure Guided Lane Detection IJCAI 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
Multi-Class Cell Detection Using Spatial Context Representation ICCV 2021
Learning with Feature-Dependent Label Noise: A Progressive Approach ICLR 2021
Topology-Aware Segmentation Using Discrete Morse Theory ICLR 2021
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation ICML 2021
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation CVPR 2020
Curvature Graph Network ICLR 2020
A Topological Filter for Learning with Label Noise NIPS 2020
Deep Variational Instance Segmentation NIPS 2020
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation AAAI 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
Persistence Enhanced Graph Neural Network AISTATS 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
SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020
Local Regularizer Improves Generalization AAAI 2020
Solving Multiple Inference by Minimizing Expected Loss PGM 2020
Efficient Heuristic Search for M-Modes Inference PGM 2020
Learn distributed GAN with Temporary Discriminators ECCV 2020
TopoGAN: A Topology-Aware Generative Adversarial Network ECCV 2020
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis CVPR 2019
Topology-Preserving Deep Image Segmentation NIPS 2019
Point Cloud Processing via Recurrent Set Encoding AAAI 2019
A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation AAAI 2019
Solving M-Modes in Loopy Graphs Using Tree Decompositions PGM 2018
Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017
Solving M-Modes Using Heuristic Search IJCAI 2016
Clustering High Dimensional Categorical Data via Topographical Features ICML 2016
Low-Rank Matrix Approximation with Stability 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