Qiaozhu Mei
29 papers · 2006–2026 · 13 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (19) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (12) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird
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Interdisciplinary Bridge
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Conference Polyglot
(12)
๐
Academic Marathon
(19)
๐งฌ
Topic Evolution
๐
Keyword Champion
(2)
๐๏ธ
Keyword Collector
(110)
โก
Prolific Year
(5)
๐
Trend Setter
๐
Century Club
(28)
๐ฅ
Unstoppable
(8)
โ
The Questioner
(2)
Conferences
ACL (5)
EMNLP (5)
NIPS (5)
NAACL (3)
ICLR (2)
IJCNLP (2)
AISTATS (1)
COLING (1)
EACL (1)
ICML (1)
IJCAI (1)
JMLR (1)
SEMEVAL (1)
Top co-authors
Keywords
graph neural network
(5)
large language model
(5)
reinforcement learning
(2)
propaganda detection
(2)
text simplification
(2)
natural language generation
(2)
human evaluation
(2)
information retrieval
(2)
ensemble learning
(2)
explainable prediction
(2)
text classification
(2)
neural network
(2)
semi-supervised learning
(2)
text complexity
(2)
label propagation
(1)
latent dirichlet allocation
(1)
statistical learning theory
(1)
adversarial learning
(1)
representation learning
(1)
bayesian inference
(1)
Papers
ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models
EACL 2026
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
NAACL 2025
Bridging the Preference Gap between Retrievers and LLMs
ACL 2024
PRewrite: Prompt Rewriting with Reinforcement Learning
ACL 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
ICLR 2023
A Metadata-Driven Approach to Understand Graph Neural Networks
NIPS 2023
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
JMLR 2022
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
ACL 2021
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
IJCNLP 2021
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
ICLR 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
AISTATS 2021
Subgroup Generalization and Fairness of Graph Neural Networks
NIPS 2021
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract)
IJCAI 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks
NIPS 2020
UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning
SEMEVAL 2020
UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning
COLING 2020
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
EMNLP 2019
The Strength of the Weakest Supervision: Topic Classification Using Class Labels
NAACL 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning
NIPS 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
IJCNLP 2019
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts
EMNLP 2018
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
ICML 2014
GenDeR: A Generic Diversified Ranking Algorithm
NIPS 2012
Rumor has it: Identifying Misinformation in Microblogs
EMNLP 2011
Context Comparison of Bursty Events in Web Search and Online Media
EMNLP 2010
Cross-Lingual Latent Topic Extraction
ACL 2010
Generating Impact-Based Summaries for Scientific Literature
ACL 2008
Language Model Information Retrieval with Document Expansion
NAACL 2006