changjun jiang
24 papers · 2023–2026 · 8 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (59) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (15)
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Research topics
Machine Learning
(18)
Artificial Intelligence
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Learning Types Β· Machine Learning
(11)
Core AI
(10)
Deep Learning
(9)
Core Methods
(9)
Application Areas
(8)
Computer Vision
(6)
Reinforcement Learning
(4)
Domain-Specific
(4)
Learning Types Β· Deep Learning
(4)
Methods
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Analysis
(3)
Learning Paradigms
(3)
Processing
(3)
Keywords
graph neural network
(6)
representation learning
(4)
neural radiance field
(3)
novel view synthesis
(3)
fraud detection
(3)
source-free domain adaptation
(3)
offline reinforcement learning
(2)
view synthesis
(2)
multi-agent system
(2)
domain generalization
(2)
policy optimization
(2)
geometric constraint
(2)
contrastive learning
(2)
universal domain adaptation
(2)
neural rendering
(2)
autonomous driving
(2)
3d reconstruction
(2)
point cloud
(2)
collaborative perception
(2)
feature extraction
(1)
Papers
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
AAAI 2026
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
AAAI 2026
CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning
ICML 2025
Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
ICML 2025
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
ACL 2025
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NeurIPS 2024
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
NeurIPS 2024
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
ECCV 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
CVPR 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
NeurIPS 2024
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
AAAI 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
Modality-Agnostic Debiasing for Single Domain Generalization
CVPR 2023
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation
CVPR 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
IJCAI 2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
ICCV 2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
ICCV 2023
Upcycling Models Under Domain and Category Shift
CVPR 2023
Urban Radiance Field Representation with Deformable Neural Mesh Primitives
ICCV 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NeurIPS 2023