Le Wu
20 papers · 2013–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(106)
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(9)
Application Areas
(9)
Core Methods
(9)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Data Science & Analytics
(7)
Core AI
(7)
Applications
(6)
Architectures
(4)
Learning Types Β· Deep Learning
(4)
Natural Language Processing
(3)
Techniques
(3)
Computer Vision
(2)
Analysis
(2)
Keywords
recommender system
(5)
mutual information
(3)
collaborative filtering
(3)
parameter-efficient fine-tuning
(2)
fair representation
(2)
recommendation system
(2)
cross-view geo-localization
(2)
sensitive attribute
(2)
semantic matching
(2)
graph convolutional network
(2)
attention mechanism
(2)
semi-supervised learning
(2)
sentence semantic matching
(2)
representation learning
(2)
user modeling
(2)
neural network
(2)
incremental learning
(1)
multi-label classification
(1)
matrix factorization
(1)
natural language inference
(1)
Papers
MOGeo: Beyond One-to-One Cross-View Object Geo-localization
CVPR 2026
MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement
AAAI 2026
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
AAAI 2026
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
AAAI 2026
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
ACL 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
NAACL 2025
Learning Fair Representations for Recommendation via Information Bottleneck Principle
IJCAI 2024
Disentangling Cognitive Diagnosis with Limited Exercise Labels
NeurIPS 2023
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NeurIPS 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective
AAAI 2023
Anisotropic Additive Quantization for Fast Inner Product Search
AAAI 2022
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
AAAI 2021
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection
AAAI 2020
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
AAAI 2020
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
AAAI 2019
Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations
AAAI 2019
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
IJCAI 2019
Personalized Multimedia Item and Key Frame Recommendation
IJCAI 2019
Incremental Matrix Factorization: A Linear Feature Transformation Perspective
IJCAI 2017
Multi-Label Classification with Unlabeled Data: An Inductive Approach
ACML 2013