Lei Yu

67 papers · 2004–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🏃 Academic Marathon (21) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (115) 🌉 Interdisciplinary Bridge 🚀 Conference Pioneer 🗃️ Keyword Collector (286) 📈 Trend Setter 🔥 Unstoppable (7) 💎 Century Club (62) ⚡ Prolific Year (18)

Conferences

EMNLP (13) CVPR (11) AAAI (10) ACL (7) ECCV (6) ICLR (6) ICCV (4) EACL (2) ICML (2) IJCAI (2) NAACL (2) IJCNLP (1) JMLR (1)

Top co-authors

Gui-Song Xia (8) Wen Yang (7) Ming Yang (6) Jingdong Chen (6) Jie Hu (5) Yingying Zhang (5) Chris Dyer (5) Lixiang Ru (5) Xiang Zhang (5) Liheng Zhong (4)

Keywords

language model (8) large language model (7) event camera (7) self-supervised learning (5) neural network (5) reinforcement learning (3) neural machine translation (3) variational inference (3) image restoration (3) motion deblurring (3) document translation (3) remote sensing (2) dimensionality reduction (2) multi-modal learning (2) contrastive learning (2) feature matching (2) image super-resolution (2) semi-supervised learning (2) multimodal learning (2) semantic analysis (2)

Papers

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences AAAI 2026

PMGS: Reconstruction of Projectile Motion Across Large Spatiotemporal Spans via 3D Gaussian Splatting AAAI 2026

Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency AAAI 2026

Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection AAAI 2026

Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs EACL 2026

Summary Factual Inconsistency Detection Based on LLMs Enhanced by Universal Information Extraction ACL 2025

Robust LLM safeguarding via refusal feature adversarial training ICLR 2025

Emergence of a High-Dimensional Abstraction Phase in Language Transformers ICLR 2025

Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts ICML 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

Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation NAACL 2025

Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation CVPR 2025

RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler CVPR 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

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 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

MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading AAAI 2025

SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing ICCV 2025

CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance ICCV 2025

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024

RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models EACL 2024

POA: Pre-training Once for Models of All Sizes ECCV 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

Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control IJCAI 2024

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery CVPR 2024

Word sense extension ACL 2023

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

A Natural Bias for Language Generation Models ACL 2023

Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023

Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features AAAI 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

Enabling Arbitrary Translation Objectives with Adaptive Tree Search ICLR 2022

Prompt-Based Meta-Learning For Few-shot Text Classification EMNLP 2022

Unifying Motion Deblurring and Frame Interpolation With Events CVPR 2022

RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection ECCV 2022

Autofocus for Event Cameras CVPR 2022

Synthetic Aperture Imaging With Events and Frames CVPR 2022

Deep Constrained Least Squares for Blind Image Super-Resolution CVPR 2022

Diverse Pretrained Context Encodings Improve Document Translation IJCNLP 2021

Diverse Pretrained Context Encodings Improve Document Translation ACL 2021

Event-Based Synthetic Aperture Imaging With a Hybrid Network CVPR 2021

Predicting emergent linguistic compositions through time: Syntactic frame extension via multimodal chaining EMNLP 2021

Capturing document context inside sentence-level neural machine translation models with self-training EMNLP 2021

Motion Deblurring With Real Events ICCV 2021

IsarStep: a Benchmark for High-level Mathematical Reasoning ICLR 2021

The DeepMind Chinese–English Document Translation System at WMT2020 EMNLP 2020

A Mutual Information Maximization Perspective of Language Representation Learning ICLR 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

Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019

Unsupervised Recurrent Neural Network Grammars NAACL 2019

Diverse Exploration via Conjugate Policies for Policy Gradient Methods AAAI 2019

Neural Variational Inference for Text Processing ICML 2016

Online Segment to Segment Neural Transduction EMNLP 2016

Small Instance Detection by Integer Programming on Object Density Maps CVPR 2015

Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004