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Ruihai Dong

11 papers · 2013–2025 · 7 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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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (20)
πŸ‘₯ Mega-Team Β· Squad πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

ACL (3) IJCAI (2) MICCAI (2) AAAI (1) COLING (1) EMNLP (1) NAACL (1)

Top co-authors

Barry Smyth (5) Linyi Yang (4) Dairui Liu (3) Yue Zhang (3) Kathleen M. Curran (2) Aosong Feng (2) Irene Li (2) Honghui Du (2) Siteng Ma (2) Aonghus Lawlor (2)

Research topics

Machine Learning (6) Natural Language Processing (5) Deep Learning (4) Application Areas (4) Applications (4) Artificial Intelligence (3) Core AI (3) Core Methods (3) Learning Types Β· Deep Learning (2) Architectures (1) Learning Types Β· Machine Learning (1) Resources & Methods (1) Techniques (1)

Keywords

text classification (4) explainable ai (2) sentiment analysis (2) natural language processing (1) opinion mining (1) model robustness (1) attention mechanism (1) multilingual nlp (1) data augmentation (1) question answering (1) topic modeling (1) multi-label classification (1) adversarial training (1) low-resource language (1) spurious correlation (1) counterfactual explanation (1) linear probing (1) cross-domain generalization (1) recommender system (1) heterogeneous graph (1)

Papers

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation EMNLP 2025 Spatial Aggregation for Semi-supervised Active Learning in 3D Medical Image Segmentation MICCAI 2025 Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification MICCAI 2024 Learning to Generalize for Cross-domain QA ACL 2023 A Novel Perspective to Look At Attention: Bi-level Attention-based Explainable Topic Modeling for News Classification ACL 2022 LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification NAACL 2022 NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting AAAI 2022 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021 Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification COLING 2020 User-Based Opinion-based Recommendation IJCAI 2017 Topic Extraction from Online Reviews for Classification and Recommendation IJCAI 2013