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Yong Li

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• Realistic Face Reconstruction from Facial Embeddings via Diffusion Models
• WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
• Learning Adaptive Parallel Execution for Efficient Code Localization
• CD^2: Constrained Dataset Distillation for Few-Shot Class-Incremental Learning
• Divide and Conquer: Static-Dynamic Collaboration for Few-Shot Class-Incremental Learning
• EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training
• FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting
• RoadBench: Benchmarking MLLMs on Fine-Grained Spatial Understanding and Reasoning under Urban Road Scenarios
• UrbanWorld2.0: A Multimodal Agentic Framework for Reality-Aligned 3D World Generation at City-Scale
• Progressive Supernet Training for Efficient Visual Autoregressive Modeling
• PID-controlled Langevin Dynamics for Faster Sampling of Generative Models
• History-Aware Reasoning for GUI Agents
• ProBench: Benchmarking GUI Agents with Accurate Process Information
• CityRiSE: Reasoning Urban Socio-Economic Status in Large Vision-Language Models via Reinforcement Learning
• AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment