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Yingxia Shao

17 papers · 2019–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird
🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (93) πŸš€ Conference Pioneer πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AAAI (6) ACL (5) EMNLP (2) IJCAI (2) ICLR (1) ICML (1)

Papers

HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion AAAI 2026 Rethink Representation Learning for Questionnaire Data AAAI 2026 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Making Text Embedders Few-Shot Learners ICLR 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model AAAI 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models ACL 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection ACL 2023 Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering ACL 2023 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020 Efficient Automatic CASH via Rising Bandits AAAI 2020 Towards Reliable Learning for High Stakes Applications AAAI 2019