Yuting Liu
14 papers · 2017–2026 · 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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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
ποΈ
Keyword Collector
(82)
π
Trend Setter
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(6)
Application Areas
(6)
Learning Types Β· Machine Learning
(6)
Core Methods
(5)
Computer Vision
(4)
Core AI
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Paradigms
(3)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Keywords
representation learning
(4)
large language model
(3)
transfer learning
(2)
low-rank adaptation
(2)
image retrieval
(1)
policy evaluation
(1)
temporal difference learning
(1)
domain adaptation
(1)
sample efficiency
(1)
policy gradient
(1)
face recognition
(1)
curriculum learning
(1)
object detection
(1)
collaborative filtering
(1)
data augmentation
(1)
knowledge transfer
(1)
policy optimization
(1)
class imbalance
(1)
continuous control
(1)
contrastive learning
(1)
Papers
Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis
AAAI 2026
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
AAAI 2026
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
AAAI 2025
CoRA: Collaborative Information Perception by Large Language Modelβs Weights for Recommendation
AAAI 2025
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
AAAI 2025
Long-Tailed Classification with Multi-Granularity Semantics
ICCV 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
Personalized Text Generation with Contrastive Activation Steering
ACL 2025
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Face2Exp: Combating Data Biases for Facial Expression Recognition
CVPR 2022
Gradient Information Matters in Policy Optimization by Back-propagating through Model
ICLR 2022
Learning Disentangled Representation in Pruning for
Real-Time UAV Tracking
ACML 2022
Point in, Box Out: Beyond Counting Persons in Crowds
CVPR 2019
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
NeurIPS 2017