Chao Chen

51

Papers

71

Total Citations

Papers (51)

Sketch and Refine: Towards Fast and Accurate Lane Detection

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation

ROPO: Robust Preference Optimization for Large Language Models

Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification

Wasserstein-Regularized Conformal Prediction under General Distribution Shift

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation

Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations

DIFNet: Boosting Visual Information Flow for Image Captioning

Backdoor Cleansing With Unlabeled Data

DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization

Topology-Guided Multi-Class Cell Context Generation for Digital Pathology

Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching

Multi-Class Cell Detection Using Spatial Context Representation

Calibrating Uncertainty for Semi-Supervised Crowd Counting

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

UniFusion: Unified Multi-View Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View

TopoGAN: A Topology-Aware Generative Adversarial Network

Learn distributed GAN with Temporary Discriminators

Latent Partition Implicit with Surface Codes for 3D Representation

ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

Learning Topological Interactions for Multi-Class Medical Image Segmentation

SeqTR: A Simple Yet Universal Network for Visual Grounding

Mixture-Rank Matrix Approximation for Collaborative Filtering

GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds

MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images

SKE-Layout: Spatial Knowledge Enhanced Layout Generation with LLMs

OVA-Fields: Weakly Supervised Open-Vocabulary Affordance Fields for Robot Operational Part Detection

Sharpening Neural Implicit Functions with Frequency Consolidation Priors

MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction

SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology

ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis

Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data

Topology-Preserving Deep Image Segmentation

Deep Variational Instance Segmentation

A Topological Filter for Learning with Label Noise

Topological Detection of Trojaned Neural Networks

Neural Approximation of Graph Topological Features

Topology-Aware Uncertainty for Image Segmentation

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

Low-Rank Matrix Approximation with Stability

Clustering High Dimensional Categorical Data via Topographical Features

Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data