Lei Yu

Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency AAAI 2026 GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences AAAI 2026 Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs EACL 2026 OxyGent: Making Multi-Agent Systems Modular, Observable, and Evolvable via Oxy Abstraction ACL 2026 PMGS: Reconstruction of Projectile Motion Across Large Spatiotemporal Spans via 3D Gaussian Splatting AAAI 2026 Distilling Large Embeddings via Hyperspherical Householder Quantization ACL 2026 Detoxification for LLM: From Dataset Itself ACL 2026 Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026 Summary Factual Inconsistency Detection Based on LLMs Enhanced by Universal Information Extraction ACL 2025 Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation NAACL 2025 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts ICML 2025 Emergence of a High-Dimensional Abstraction Phase in Language Transformers ICLR 2025 Robust LLM safeguarding via refusal feature adversarial training ICLR 2025 CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance ICCV 2025 SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing ICCV 2025 Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory EMNLP 2025 Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution AAAI 2025 HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation AAAI 2025 MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading AAAI 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 Geometric Signatures of Compositionality Across a Language Model’s Lifetime ACL 2025 The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction ACL 2025 POA: Pre-training Once for Models of All Sizes ECCV 2024 SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery CVPR 2024 RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models EACL 2024 PQ-SAM: Post-training Quantization for Segment Anything Model ECCV 2024 EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models ECCV 2024 Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024 Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control IJCAI 2024 Systematic word meta-sense extension EMNLP 2023 Generalizing Event-Based Motion Deblurring in Real-World Scenarios ICCV 2023 "Seeing" Electric Network Frequency From Events CVPR 2023 Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023 Word sense extension ACL 2023 Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 2023 A Natural Bias for Language Generation Models ACL 2023 High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation AAAI 2023 Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification ACL 2023 Prompt-Based Meta-Learning For Few-shot Text Classification EMNLP 2022 Deep Constrained Least Squares for Blind Image Super-Resolution CVPR 2022 Synthetic Aperture Imaging With Events and Frames CVPR 2022 Autofocus for Event Cameras CVPR 2022 RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection ECCV 2022 Unifying Motion Deblurring and Frame Interpolation With Events CVPR 2022 Enabling Arbitrary Translation Objectives with Adaptive Tree Search ICLR 2022 Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining EMNLP 2021 Diverse Pretrained Context Encodings Improve Document Translation ACL 2021 Motion Deblurring With Real Events ICCV 2021 IsarStep: a Benchmark for High-level Mathematical Reasoning ICLR 2021 Diverse Pretrained Context Encodings Improve Document Translation IJCNLP 2021 Event-Based Synthetic Aperture Imaging With a Hybrid Network CVPR 2021 Capturing document context inside sentence-level neural machine translation models with self-training EMNLP 2021 A Mutual Information Maximization Perspective of Language Representation Learning ICLR 2020 The DeepMind Chinese–English Document Translation System at WMT2020 EMNLP 2020 Event Enhanced High-Quality Image Recovery ECCV 2020 Inferring symmetry in natural language EMNLP 2020 Variational Smoothing in Recurrent Neural Network Language Models ICLR 2019 Unsupervised Recurrent Neural Network Grammars NAACL 2019 Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019 Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019 Online Segment to Segment Neural Transduction EMNLP 2016 Neural Variational Inference for Text Processing ICML 2016 Small Instance Detection by Integer Programming on Object Density Maps CVPR 2015 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004