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Wei Chen

Explore Wei Chen on AI.info.

• VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning
• Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning
• Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
• Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
• SpatialReward: Bridging the Perception Gap in Online RL for Image Editing via Explicit Spatial Reasoning
• TimeSliver : Symbolic-Linear Decomposition for Explainable Time Series Classification
• MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources
• Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers
• V-Zero: Self-Improving Multimodal Reasoning with Zero Annotation
• RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation
• FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
• In-Context Compositional Learning via Sparse Coding Transformer
• Enabling Agents to Communicate Entirely in Latent Space