changjun jiang
24 papers · 2023–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (9)
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Interdisciplinary Bridge
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Keyword Pioneer
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(15)
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(10)
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Keyword Collector
(116)
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Century Club
(22)
Conferences
CVPR (7)
AAAI (4)
NIPS (4)
ICCV (3)
ICML (2)
IJCAI (2)
ACL (1)
ECCV (1)
Top co-authors
Research topics
Keywords
graph neural network
(6)
source-free domain adaptation
(3)
neural radiance field
(3)
novel view synthesis
(3)
representation learning
(3)
fraud detection
(3)
view synthesis
(2)
geometric constraint
(2)
multi-agent system
(2)
policy optimization
(2)
domain generalization
(2)
contrastive learning
(2)
3d reconstruction
(2)
universal domain adaptation
(2)
offline reinforcement learning
(2)
autonomous driving
(2)
point cloud
(2)
neural rendering
(2)
collaborative perception
(2)
pose estimation
(1)
Papers
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning
AAAI 2026
Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection
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
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning
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
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling
NIPS 2024
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
NIPS 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NIPS 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection
AAAI 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation
ECCV 2024
Critical Firms Prediction for Stemming Contagion Risk in Networked-Loans through Graph-Based Deep Reinforcement Learning
AAAI 2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
ICCV 2023
Urban Radiance Field Representation with Deformable Neural Mesh Primitives
ICCV 2023
UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework
ICCV 2023
Modality-Agnostic Debiasing for Single Domain Generalization
CVPR 2023
Upcycling Models Under Domain and Category Shift
CVPR 2023
Preventing Attacks in Interbank Credit Rating with Selective-aware Graph Neural Network
IJCAI 2023
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network
IJCAI 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning
NIPS 2023
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation
CVPR 2023