Runze Wu
19 papers · 2015–2026 · 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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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (56) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(104)
Top co-authors
Research topics
Machine Learning
(16)
Learning Types Β· Machine Learning
(11)
Deep Learning
(9)
Artificial Intelligence
(8)
Application Areas
(8)
Core Methods
(8)
Learning Types Β· Deep Learning
(8)
Core AI
(6)
Natural Language Processing
(5)
Data Science & Analytics
(4)
Applications Β· Data Science & Analytics
(4)
Resources & Methods
(4)
Architectures
(3)
Reinforcement Learning
(2)
Applications Β· Reinforcement Learning
(2)
Keywords
semi-supervised learning
(4)
large language model
(4)
text classification
(3)
representation learning
(2)
knowledge distillation
(2)
attention mechanism
(2)
model selection
(2)
reinforcement learning
(2)
data annotation
(2)
multi-agent system
(2)
noisy label learning
(1)
optimal transport
(1)
semi-supervised clustering
(1)
multi-task learning
(1)
multi-label learning
(1)
zero-shot learning
(1)
in-context learning
(1)
preference alignment
(1)
knowledge transfer
(1)
temporal modeling
(1)
Papers
Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
ACL 2026
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
EMNLP 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
ACL 2025
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
ACL 2025
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications
EMNLP 2025
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization
AAAI 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024
Unbiased Multi-Label Learning from Crowdsourced Annotations
ICML 2024
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
EMNLP 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
NeurIPS 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
IJCAI 2023
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
AAAI 2022
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
AAAI 2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
IJCAI 2022
Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach
AAAI 2022
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
AAAI 2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
AAAI 2021
Cognitive Modelling for Predicting Examinee Performance
IJCAI 2015