Tianrui Li
20 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Half π£ Hot Topic Early Bird
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(16)
Core Methods
(10)
Learning Types
(10)
Artificial Intelligence
(7)
Deep Learning
(7)
Computer Vision
(5)
Core AI
(5)
Optimization & Theory
(5)
Natural Language Processing
(4)
Applications
(4)
Architectures
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Analysis
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Learning Paradigms
(2)
Keywords
sentiment classification
(3)
sequence labeling
(2)
vision-language model
(2)
point cloud
(2)
catastrophic forgetting
(2)
continual learning
(2)
aspect term extraction
(2)
multi-view unsupervised feature selection
(2)
multi-view feature selection
(2)
knowledge transfer
(2)
feature selection
(1)
text classification
(1)
matrix decomposition
(1)
model calibration
(1)
bayesian inference
(1)
vision transformer
(1)
contrastive learning
(1)
question answering
(1)
chain-of-thought reasoning
(1)
semantic segmentation
(1)
Papers
Zero-Shot Image Denoising via Hybrid Prior-Guided Pseudo Sample Generation
CVPR 2026
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration
AAAI 2025
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
IJCAI 2025
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
ICCV 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor
CVPR 2025
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
AAAI 2025
Non-collective Calibrating Strategy for Time Series Forecasting
IJCAI 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
CVPR 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
AAAI 2025
Learning to Prompt Knowledge Transfer for Open-World Continual Learning
AAAI 2024
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
IJCAI 2024
Boosting Single Image Super-Resolution via Partial Channel Shifting
ICCV 2023
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation
ICML 2023
Expanding Large Pre-Trained Unimodal Models With Multimodal Information Injection for Image-Text Multimodal Classification
CVPR 2022
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification
COLING 2020
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis
EMNLP 2020
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension
AACL 2020
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
ACL 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification
EMNLP 2019
ST-MVL: Filling Missing Values in Geo-Sensory Time Series Data
IJCAI 2016