Qiuzhen Lin
8 papers · 2024–2026 · 3 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
Jump to papers ↓
π
Conference Polyglot Β· Bronze
π
Interdisciplinary Bridge Β· Silver
πΊοΈ
Taxonomy Completionist
(29)
π
Keyword Champion
(3)
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(7)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Reinforcement Learning
(3)
Methods
(3)
Natural Language Processing
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Computer Vision
(1)
Keywords
evolutionary reinforcement learning
(3)
structural balance
(2)
graph neural network
(2)
evolutionary algorithm
(2)
large language model
(2)
continuous control
(2)
link sign prediction
(2)
robotic manipulation
(1)
adversarial robustness
(1)
catastrophic forgetting
(1)
exploration exploitation
(1)
bilevel optimization
(1)
adversarial attack
(1)
state space model
(1)
hierarchical reinforcement learning
(1)
link prediction
(1)
recommendation system
(1)
neural architecture search
(1)
multi-scale feature
(1)
sparse reward
(1)
Papers
M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction
AAAI 2026
Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos
AAAI 2026
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
AAAI 2025
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks
IJCAI 2025
Structure Balance and Gradient Matching-Based Signed Graph Condensation
AAAI 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
AAAI 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
AAAI 2024