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Cao Xiao

46 papers · 2018–2025 · 11 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.

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (78) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ† Keyword Champion (3) 🀝 Dynamic Duo (33) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (13) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (8) πŸ—ƒοΈ Keyword Collector (214)

Papers

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations AAAI 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation CVPR 2025 Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement NAACL 2025 Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning ACL 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval ICLR 2025 BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 2024 Certifiably Byzantine-Robust Federated Conformal Prediction ICML 2024 ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation AAAI 2024 GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs ICLR 2024 KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge NeurIPS 2024 MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement IJCAI 2024 PILOT: Legal Case Outcome Prediction with Case Law NAACL 2024 Recent Advances in Predictive Modeling with Electronic Health Records IJCAI 2024 TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale NAACL 2024 Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources ACL 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Zero-Resource Hallucination Prevention for Large Language Models EMNLP 2024 AutoTrial: Prompting Language Models for Clinical Trial Design EMNLP 2023 Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control ICML 2023 Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation COLING 2022 Differentiable Scaffolding Tree for Molecule Optimization ICLR 2022 SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models AAAI 2022 Change Matters: Medication Change Prediction with Recurrent Residual Networks IJCAI 2021 EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders MLHC 2021 Fusion: Towards Automated ICD Coding via Feature Compression ACL 2021 MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization AAAI 2021 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021 SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations IJCAI 2021 STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization AAAI 2021 CASTER: Predicting Drug Interactions with Chemical Substructure Representation AAAI 2020 CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 CORE: Automatic Molecule Optimization Using Copy & Refine Strategy AAAI 2020 Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment AAAI 2020 DDL: Deep Dictionary Learning for Predictive Phenotyping IJCAI 2019 EEGtoText: Learning to Write Medical Reports from EEG Recordings MLHC 2019 GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination AAAI 2019 MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals IJCAI 2019 Pre-training of Graph Augmented Transformers for Medication Recommendation IJCAI 2019 RDPD: Rich Data Helps Poor Data via Imitation IJCAI 2019 SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules MLHC 2019 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders NeurIPS 2018 Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders IJCAI 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare NeurIPS 2018 Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction IJCAI 2018