Yixuan Li

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