Runze Wu
19 papers · 2015–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Hot Topic Early Bird
🐝
Cross-Pollinator
(8)
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Keyword Collector
(90)
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Century Club
(18)
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Unstoppable
(5)
Conferences
AAAI (6)
ACL (4)
EMNLP (3)
IJCAI (3)
ICML (2)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(4)
semi-supervised learning
(3)
text classification
(3)
attention mechanism
(2)
reinforcement learning
(2)
knowledge distillation
(2)
data annotation
(2)
multi-agent system
(2)
representation learning
(2)
knowledge transfer
(1)
noisy label learning
(1)
optimal transport
(1)
multi-task learning
(1)
semi-supervised clustering
(1)
item response theory
(1)
zero-shot learning
(1)
in-context learning
(1)
model selection
(1)
preference alignment
(1)
temporal modeling
(1)
Papers
Select Before Use: On the Importance of Reference Model Selection in Preference Alignment
ACL 2026
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
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
EMNLP 2025
Unbiased Multi-Label Learning from Crowdsourced Annotations
ICML 2024
Towards Realistic Model Selection for Semi-supervised Learning
ICML 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization
AAAI 2024
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
NIPS 2023
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models
EMNLP 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
IJCAI 2023
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
Co-promotion Predictions of Financing Market and Sales Market: A Cooperative-Competitive Attention Approach
AAAI 2022
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation
AAAI 2021
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
AAAI 2021
Cognitive Modelling for Predicting Examinee Performance
IJCAI 2015