Yixuan Li

HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives CVPR 2026 MagicQuill V2: Precise and Interactive Image Editing with Layered Visual Cues CVPR 2026 MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning AAAI 2026 Where, What, Why: Toward Explainable 3D-GS Watermarking CVPR 2026 AI-generated Image Quality Assessment in Visual Communication AAAI 2025 Audio-centric Video Understanding Benchmark without Text Shortcut EMNLP 2025 CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks CoRL 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts ICLR 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction AAAI 2025 How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence ICML 2025 HyGenar: An LLM-Driven Hybrid Genetic Algorithm for Few-Shot Grammar Generation ACL 2025 Improving LLM Video Understanding with 16 Frames Per Second ICML 2025 Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation ICCV 2025 Multi-identity Human Image Animation with Structural Video Diffusion ICCV 2025 ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting ICCV 2025 Online Prompt Selection for Program Synthesis AAAI 2025 Position: Challenges and Future Directions of Data-Centric AI Alignment ICML 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing ICLR 2025 Process Reward Model with Q-value Rankings ICLR 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 Steer LLM Latents for Hallucination Detection ICML 2025 Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models ICML 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach ICML 2025 Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models ACL 2025 video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model ICML 2025 Your Weak LLM is Secretly a Strong Teacher for Alignment ICLR 2025 Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare NeurIPS 2024 ARGS: Alignment as Reward-Guided Search ICLR 2024 BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NeurIPS 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View NeurIPS 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection NeurIPS 2024 How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ICLR 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024 How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024 HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation NeurIPS 2024 HYPO: Hyperspherical Out-Of-Distribution Generalization ICLR 2024 InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint NeurIPS 2024 Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models NeurIPS 2024 Joint Annotation of Morphology and Syntax in Dependency Treebanks COLING 2024 On the Learnability of Out-of-distribution Detection JMLR 2024 PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios CVPR 2024 PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning ICML 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models ICML 2024 Understanding the Learning Dynamics of Alignment with Human Feedback ICML 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 3D-Aware Face Swapping CVPR 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images ICCV 2023 Distributionally Robust Optimization with Probabilistic Group AAAI 2023 Dream the Impossible: Outlier Imagination with Diffusion Models NeurIPS 2023 Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection ICML 2023 How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023 Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023 Learning to Augment Distributions for Out-of-distribution Detection NeurIPS 2023 MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond ICCV 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023 Non-parametric Outlier Synthesis ICLR 2023 Out-of-Distribution Detection via Frequency-Regularized Generative Models WACV 2023 Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment CVPR 2023 Task Agnostic and Post-Hoc Unseen Distribution Detection WACV 2023 When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis ICML 2023 Delving into Out-of-Distribution Detection with Vision-Language Representations NeurIPS 2022 DICE: Leveraging Sparsification for Out-of-Distribution Detection ECCV 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning ICLR 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 SIREN: Shaping Representations for Detecting Out-of-Distribution Objects NeurIPS 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NeurIPS 2022 Training OOD Detectors in their Natural Habitats ICML 2022 Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild CVPR 2022 VOS: Learning What You Don't Know by Virtual Outlier Synthesis ICLR 2022 Can multi-label classification networks know what they don’t know? NeurIPS 2021 Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving ICCV 2021 Model Patching: Closing the Subgroup Performance Gap with Data Augmentation ICLR 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021 MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions ICCV 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild NeurIPS 2021 ReAct: Out-of-distribution Detection With Rectified Activations NeurIPS 2021 Actions as Moving Points ECCV 2020 Energy-based Out-of-distribution Detection NeurIPS 2020 Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2020 Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search CVPR 2019 Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks ICLR 2018 Exploring the Limits of Weakly Supervised Pretraining ECCV 2018 Understanding the Loss Surface of Neural Networks for Binary Classification ICML 2018 Stacked Generative Adversarial Networks CVPR 2017