Yixuan Li

93 papers · 2017–2026 · 13 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (8) 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (5) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🤝 Dynamic Duo (13) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (13) 🧬 Topic Evolution 🏆 Keyword Champion (25) ⚡ Prolific Year (21) ❓ The Questioner (11) 🗃️ Keyword Collector (295) 💎 Century Club (92) 🔥 Unstoppable (9) 🚀 Conference Pioneer

Conferences

NIPS (20) ICML (19) ICLR (15) CVPR (9) AAAI (8) ICCV (7) ACL (5) ECCV (3) EMNLP (2) WACV (2) COLING (1) CORL (1) JMLR (1)

Top co-authors

Xuefeng Du (13) Yiyou Sun (12) Yifei Ming (11) Bo Dai (6) Zhen Fang (6) Zhenzhi Wang (5) Lei Feng (5) Haobo Wang (5) Junbo Zhao (4) Wei Li (4)

Keywords

out-of-distribution detection (25) large language model (6) ood detection (5) image generation (5) anomaly detection (4) semi-supervised learning (4) benchmark evaluation (4) neural network (4) distribution shift (4) zero-shot learning (4) model uncertainty (3) representation learning (3) novel class discovery (3) diffusion model (3) domain generalization (3) energy score (3) feature representation (2) neural rendering (2) nearest neighbor (2) pac learning (2)

Papers

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