Lin Wu
8 papers · 2006–2026 · 6 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 (26) π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
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Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(50)
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Core Methods
(4)
Learning Types
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Applications Β· Natural Language Processing
(2)
Healthcare & Medicine
(1)
Reinforcement Learning
(1)
Speech & Audio
(1)
Application Areas
(1)
Applications Β· Reinforcement Learning
(1)
Architectures
(1)
Clinical
(1)
Keywords
game artificial intelligence
(1)
scalable learning
(1)
object detection
(1)
embedding learning
(1)
video generation
(1)
multimodal learning
(1)
code generation
(1)
referring expression
(1)
board game ai
(1)
evaluation function learning
(1)
scalable machine learning
(1)
nearest neighbor search
(1)
semantic space
(1)
evaluation function
(1)
person detection
(1)
pattern learning
(1)
bayesian network
(1)
recursive neural network
(1)
game ai
(1)
contrastive learning
(1)
Papers
SegMo: Segment-aligned Text to 3D Human Motion Generation
WACV 2026
TeachMaster: Generative Teaching via Code
ACL 2026
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
ACL 2025
Referring to Any Person
ICCV 2025
An Automatic Soundtracking System for Text-to-Speech Audiobooks
Interspeech 2022
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
IJCAI 2020
Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering
IJCAI 2016
A Scalable Machine Learning Approach to Go
NeurIPS 2006