Xin Li

4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models CVPR 2026 CoT-Edit: Let CoT Guide Instruction Video Editing CVPR 2026 ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization CVPR 2026 From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 Generative Branching for Mixed-Integer Linear Programming AAAI 2026 Hybrid Agents for Image Restoration CVPR 2026 MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing ACL 2026 Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration AAAI 2026 Test-Time Preference Optimization for Image Restoration AAAI 2026 UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment AAAI 2026 Learning Fused State Representations for Control from Multi-View Observations ICML 2025 QMamba: On First Exploration of Vision Mamba for Image Quality Assessment ICML 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation AAAI 2025 Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models ICML 2024 Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NeurIPS 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies AAAI 2024 Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis? CVPR 2024 KVQ: Kwai Video Quality Assessment for Short-form Videos CVPR 2024 Learning Latent Dynamic Robust Representations for World Models ICML 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration ECCV 2024 Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal ECCV 2024 SeD: Semantic-Aware Discriminator for Image Super-Resolution CVPR 2024 UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt ECCV 2024 Behavior Prior Representation learning for Offline Reinforcement Learning ICLR 2023 Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding AAAI 2023 GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph NeurIPS 2023 Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective CVPR 2023 Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023 Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NeurIPS 2023 WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series AAAI 2023 Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning NeurIPS 2022 SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning AAAI 2022 Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution AAAI 2021 LIRA: Lifelong Image Restoration from Unknown Blended Distortions ECCV 2020 Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration ECCV 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020 A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment IJCAI 2019 Non-translational Alignment for Multi-relational Networks IJCAI 2018