Rui Li
98 papers · 2013–2026 · 18 conferences · across top CS/AI conferences
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Conferences
AAAI (15)
ACL (12)
CVPR (11)
EMNLP (11)
ICML (10)
NIPS (7)
COLING (5)
ICCV (5)
IJCAI (4)
MICCAI (3)
ICLR (3)
ECCV (3)
AISTATS (2)
NAACL (2)
WACV (2)
INTERSPEECH (1)
MIDL (1)
ACML (1)
Top co-authors
Research topics
Keywords
large language model
(16)
bayesian inference
(4)
medical imaging
(4)
contrastive learning
(4)
generative adversarial network
(4)
representation learning
(3)
model compression
(3)
multimodal learning
(3)
code generation
(3)
depth estimation
(3)
in-context learning
(3)
self-supervised learning
(3)
knowledge distillation
(3)
domain adaptation
(3)
information retrieval
(3)
unsupervised learning
(2)
sequence labeling
(2)
continual learning
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reinforcement learning
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sentiment analysis
(2)
Papers
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
AAAI 2026
FedPΒ²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
AAAI 2026
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning
AAAI 2026
From Trajectories to Graphs: Contract-Checked Editing for Verifier-Guided LLM Reasoning
ACL 2026
Merlinβs Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting
ACL 2026
Large Language Models Struggle with Unreasonability in Math Problems
AAAI 2026
LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
ACL 2026
Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
ACL 2026
Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning
AAAI 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
AAAI 2026
Progressive Prefix-Memory Tuning for Complex Logical Query Answering on Knowledge Graphs
IJCAI 2025
Streamlining Prediction in Bayesian Deep Learning
ICLR 2025
Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference
ICML 2025
CursorCore: Assist Programming through Aligning Anything
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
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
DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction
MIDL 2025
Multi-perspective Preference Alignment of LLMs for Programming-Community Question Answering
COLING 2025
Automated Clinical Data Extraction with Knowledge Conditioned LLMs
COLING 2025
Flatness Improves Backbone Generalisation in Few-Shot Classification
WACV 2025
Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views
CVPR 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
NAACL 2025
Multimodal Fusion Network with Distribution-based Tumor-Marker Imputation for Multi-Origin Metastatic Cervical Lymphadenopathy Classification
MICCAI 2025
Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment
EMNLP 2025
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference
EMNLP 2025
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
EMNLP 2025
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
EMNLP 2025
Anatomy-Aware Frequency-Attention Transformer Networks for Liver Couinaud CT/MR Segmentation
MICCAI 2025
Are Human-generated Demonstrations Necessary for In-context Learning?
ICLR 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation
WACV 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
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
Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video
MICCAI 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
RePair: Automated Program Repair with Process-based Feedback
ACL 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
Wonder at Chemotimelines 2024: MedTimeline: An End-to-End NLP System for Timeline Extraction from Clinical Narratives
NAACL 2024
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
ICML 2024
A Survey on In-context Learning
EMNLP 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain
AAAI 2024
Frequency-Adaptive Pan-Sharpening with Mixture of Experts
AAAI 2024
When Generative Adversarial Networks Meet Sequence Labeling Challenges
EMNLP 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
ICML 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
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
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
ICML 2024
Bayesian Adaptation of Network Depth and Width for Continual Learning
ICML 2024
Pyramid Dual Domain Injection Network for Pan-sharpening
ICCV 2023
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders
NIPS 2023
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion
ACL 2023
Knowledge Acquisition for Human-In-The-Loop Image Captioning
AISTATS 2023
Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
CVPR 2023
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes
CVPR 2023
Feature Alignment and Uniformity for Test Time Adaptation
CVPR 2023
Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking
ICCV 2023
Learning Fine-Grained Features for Pixel-Wise Video Correspondences
ICCV 2023
Learning on Large-scale Text-attributed Graphs via Variational Inference
ICLR 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models
ICML 2023
Self-supervised Learning Representation based Accent Recognition with Persistent Accent Memory
INTERSPEECH 2023
HousE: Knowledge Graph Embedding with Householder Parameterization
ICML 2022
Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation
IJCAI 2022
Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network
COLING 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
A New Perspective on the Effects of Spectrum in Graph Neural Networks
ICML 2022
Motion-Focused Contrastive Learning of Video Representations
ICCV 2021
Joint Inference for Neural Network Depth and Dropout Regularization
NIPS 2021
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation
AAAI 2021
IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction
ICCV 2021
Treasures Outside Contexts: Improving Event Detection via Global Statistics
EMNLP 2021
Reflection Separation via Multi-bounce Polarization State Tracing
ECCV 2020
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints
IJCAI 2020
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
NIPS 2020
Model Adaptation: Unsupervised Domain Adaptation Without Source Data
CVPR 2020
Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification
CVPR 2019
Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks
AAAI 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
NIPS 2019
Modeling Physicians' Utterances to Explore Diagnostic Decision-making
IJCAI 2017
Multi-Granularity Chinese Word Embedding
EMNLP 2016
Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes
CVPR 2013
Sensing and Recognizing Surface Textures Using a GelSight Sensor
CVPR 2013