Rui Li

93 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🏃 Academic Marathon (12) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (10) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (10) 🏆 Keyword Champion 🚀 Conference Pioneer ⚡ Prolific Year (28) 🔥 Unstoppable (7) ❓ The Questioner (3) 📈 Trend Setter 💎 Century Club (87) 🗃️ Keyword Collector (414)

Conferences

AAAI (15) CVPR (11) EMNLP (11) ICML (10) ACL (8) NIPS (7) ICCV (5) COLING (5) IJCAI (4) ECCV (3) ICLR (3) MICCAI (3) AISTATS (2) NAACL (2) WACV (2) INTERSPEECH (1) ACML (1)

Top co-authors

Qi Liu (11) Zhenya Huang (8) Zhifang Sui (7) Liyang He (7) Yu Su (6) Lei Sha (6) Anne Haake (5) Qi Yu (5) Zheng Zhang (5) Pengcheng Shi (5)

Research topics

Keywords

large language model (15) bayesian inference (4) generative adversarial network (4) contrastive learning (4) medical imaging (4) representation learning (3) model compression (3) knowledge distillation (3) multimodal learning (3) depth estimation (3) in-context learning (3) self-supervised learning (3) domain adaptation (3) information retrieval (3) unsupervised learning (2) sequence labeling (2) continual learning (2) reinforcement learning (2) sentiment analysis (2) semi-supervised learning (2)

Papers

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026

Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning AAAI 2026

Large Language Models Struggle with Unreasonability in Math Problems AAAI 2026

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning AAAI 2026

FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs AAAI 2026

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026

Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment EMNLP 2025

Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views CVPR 2025

Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation MICCAI 2025

Flatness Improves Backbone Generalisation in Few-Shot Classification WACV 2025

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025

Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs IJCAI 2025

Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025

VERSE: Verification-based Self-Play for Code Instructions AAAI 2025

Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification MICCAI 2025

CursorCore: Assist Programming through Aligning Anything ICML 2025

PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025

UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation ACL 2025

Towards Harmonized Uncertainty Estimation for Large Language Models ACL 2025

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025

Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation ACL 2025

Multi-perspective Preference Alignment of LLMs for Programming-Community Question Answering COLING 2025

Automated Clinical Data Extraction with Knowledge Conditioned LLMs COLING 2025

Streamlining Prediction in Bayesian Deep Learning ICLR 2025

Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? EMNLP 2025

Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference EMNLP 2025

Frequency-Adaptive Pan-Sharpening with Mixture of Experts AAAI 2024

APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments NIPS 2024

Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification NIPS 2024

Reflective Multi-Agent Collaboration based on Large Language Models NIPS 2024

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain AAAI 2024

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024

RePair: Automated Program Repair with Process-based Feedback ACL 2024

Breakthrough from Nuance and Inconsistency: Enhancing Multimodal Sarcasm Detection with Context-Aware Self-Attention Fusion and Word Weight Calculation. COLING 2024

Feature Structure Matching for Multi-source Sentiment Analysis with Efficient Adaptive Tuning COLING 2024

Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis CVPR 2024

GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo CVPR 2024

Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning CVPR 2024

Decomposition Betters Tracking Everything Everywhere ECCV 2024

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network ECCV 2024

A Survey on In-context Learning EMNLP 2024

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024

When Generative Adversarial Networks Meet Sequence Labeling Challenges EMNLP 2024

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming EMNLP 2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024

Are Human-generated Demonstrations Necessary for In-context Learning? ICLR 2024

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge ICML 2024

Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization ICML 2024

Bayesian Adaptation of Network Depth and Width for Continual Learning ICML 2024

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations ICML 2024

Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video MICCAI 2024

Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives NAACL 2024

Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024

Self-supervised Learning Representation based Accent Recognition with Persistent Accent Memory INTERSPEECH 2023

Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023

Learning on Large-scale Text-attributed Graphs via Variational Inference ICLR 2023

Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence CVPR 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023

Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking ICCV 2023

AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NIPS 2023

Feature Alignment and Uniformity for Test Time Adaptation CVPR 2023

Knowledge Acquisition for Human-In-The-Loop Image Captioning AISTATS 2023

Learning Fine-Grained Features for Pixel-Wise Video Correspondences ICCV 2023

Pyramid Dual Domain Injection Network for Pan-sharpening ICCV 2023

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation IJCAI 2022

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation AISTATS 2022

Probabilistic Adaptive Spatial-Temporal Regularized Correlation Filters for UAV Tracking ACML 2022

Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach AAAI 2022

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers AAAI 2022

Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network COLING 2022

HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022

A New Perspective on the Effects of Spectrum in Graph Neural Networks ICML 2022

Motion-Focused Contrastive Learning of Video Representations ICCV 2021

IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction ICCV 2021

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021

Treasures Outside Contexts: Improving Event Detection via Global Statistics EMNLP 2021

Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021

Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains NIPS 2020

Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020

Reflection Separation via Multi-bounce Polarization State Tracing ECCV 2020

Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NIPS 2019

Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification CVPR 2019

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks AAAI 2019

Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017

Multi-Granularity Chinese Word Embedding EMNLP 2016

Sensing and Recognizing Surface Textures Using a GelSight Sensor CVPR 2013

Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes CVPR 2013