Cao Xiao

47 papers · 2018–2025 · 12 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (12) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (13)

🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (84) 🔬 Deep Specialist (13) 🤝 Dynamic Duo (34) 👑 Triple Crown 🏆 Keyword Champion 🏆 Grand Slam 🚀 Conference Pioneer 💎 Century Club (47) 🔥 Unstoppable (8) 🗃️ Keyword Collector (197) ⚡ Prolific Year (7)

Conferences

IJCAI (11) AAAI (10) EMNLP (4) ICLR (4) NAACL (4) ACL (3) MLHC (3) NIPS (3) ICML (2) COLING (1) CVPR (1) IJCNLP (1)

Top co-authors

Jimeng Sun (34) Parminder Bhatia (10) Fenglong Ma (9) Lucas Glass (7) Tengfei Ma (7) Taha Kass-Hout (6) Junyu Luo (6) Tianfan Fu (5) Pengcheng Jiang (5) Lucas M. Glass (4)

Keywords

electronic health record (9) large language model (6) attention mechanism (5) graph neural network (5) generative model (4) representation learning (4) recurrent neural network (3) transfer learning (3) domain adaptation (3) drug-drug interaction (3) medical imaging (3) medication recommendation (2) dictionary learning (2) variational autoencoder (2) molecular graph (2) knowledge graph (2) model compression (2) adversarial training (2) knowledge distillation (2) semi-supervised learning (2)

Papers

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