Xiao, Cao
- FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
2018/01/30 by Jie Chen, Tengfei Ma, Chen, Jie +3 · 37 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
- Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
2021/02/18 by Kexin Huang, Huang, Kexin, Tianfan Fu +17 · 31 citations
Computer Science · Engineering · Materials Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #Computers and Society (cs.CY) #FOS: Biological sciences #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science #Quantitative Methods (q-bio.QM)
- GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
2018/09/06 by Shang, Junyuan, Xiao, Cao, Ma, Tengfei +2 · 9 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
2021/05/05 by Chaoqi Yang, Yang, Chaoqi, Cao Xiao +7 · 9 citations
Computer Science · Materials Science · Chemistry · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Asymmetric Hydrogenation and Catalysis
- GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
2023/05/22 by Pengcheng Jiang, Jiang, Pengcheng, Cao Xiao +5 · 12 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Dementia and Cognitive Impairment Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
2024/05/24 by Xiyao Wang, Jiuhai Chen, Wang, Xiyao +19 · 17 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques
- Pre-training of Graph Augmented Transformers for Medication Recommendation
2019/06/02 by Shang, Junyuan, Ma, Tengfei, Xiao, Cao +1 · 7 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Constrained Generation of Semantically Valid Graphs via Regularizing\n Variational Autoencoders
2018/09/07 by Tengfei Ma, Ma, Tengfei, Jie Chen +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #Data Visualization and Analytics #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
2018/10/22 by Edward Choi, Cao Xiao, Choi, Edward +5 · 3 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
- Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
2024/10/06 by Pengcheng Jiang, Cao Xiao, Jiang, Pengcheng +11 · 9 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Health Professions · #Advanced Graph Neural Networks #Artificial Intelligence in Healthcare #Biomedical Text Mining and Ontologies #Computation and Language (cs.CL) #FOS: Computer and information sciences
- MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
2019/05/27 by Hong, Shenda, Xiao, Cao, Ma, Tengfei +2 · 3 citations
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Change Matters: Medication Change Prediction with Recurrent Residual Networks
2021/05/05 by Chaoqi Yang, Yang, Chaoqi, Cao Xiao +5 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
2023/05/20 by Wang, Zifeng, Gao, Chufan, Xiao, Cao +1 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data
2021/02/08 by Tianfan Fu, Kexin Huang, Fu, Tianfan +7 · 3 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Biomedical Text Mining and Ontologies #Topic Modeling
- Recent Advances in Predictive Modeling with Electronic Health Records
2024/02/02 by Wang, Jiaqi, Luo, Junyu, Ye, Muchao +8 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CONAN: Complementary Pattern Augmentation for Rare Disease Detection
2019/11/26 by Limeng Cui, Siddharth Biswal, Cui, Limeng +9 · 2 citations
Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation
2019/11/15 by Huang, Kexin, Xiao, Cao, Hoang, Trong Nghia +2 · 2 citations
#FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM)
- FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
2023/05/30 by Brandon Theodorou, Theodorou, Brandon, Lucas M. Glass +5 · 3 citations
Economics, Econometrics and Finance · Mathematics · Medicine · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Sex and Gender in Healthcare
- Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification
2020/06/15 by Srinivasa, Rakshith S, Xiao, Cao, Glass, Lucas +2 · 2 citations
#05C50 #68T07 #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
2024/09/20 by Wang, Zhepeng, Bao, Runxue, Wu, Yawen +6 · 4 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
2024/05/26 by Pengcheng Jiang, Jiang, Pengcheng, Lang Cao +9 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic #Semantic Web and Ontologies
- Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
2025/03/06 by Aishik Konwer, Konwer, Aishik, Zhijian Yang +11 · 5 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders
2018/04/28 by Tengfei Ma, Ma, Tengfei, Cao Xiao +5 · 1 citation
Computer Science · Pharmacology, Toxicology and Pharmaceutics · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Pharmacogenetics and Drug Metabolism #Biomedical Text Mining and Ontologies
- AWE: Asymmetric Word Embedding for Textual Entailment
2018/09/11 by Ma, Tengfei, Wu, Chiamin, Xiao, Cao +1 · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- PILOT: Legal Case Outcome Prediction with Case Law
2024/01/28 by Cao, Lang, Wang, Zifeng, Xiao, Cao +1 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Certifiably Byzantine-Robust Federated Conformal Prediction
2024/06/04 by Kang, Mintong, Lin, Zhen, Sun, Jimeng +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks
2020/04/30 by Kexin Huang, Cao Xiao, Huang, Kexin +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Bioinformatics and Genomic Networks #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Molecular Networks (q-bio.MN)
- COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching
2020/06/15 by Gao, Junyi, Xiao, Cao, Glass, Lucas M. +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Differentiable Scaffolding Tree for Molecular Optimization
2021/09/22 by Tianfan Fu, Fu, Tianfan, Wenhao Gao +9 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control
2023/02/02 by Lin, Zhen, Trivedi, Shubhendu, Xiao, Cao +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
2024/10/31 by Yu, Shuyang, Bao, Runxue, Bhatia, Parminder +3 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
2023/06/06 by Zifeng Wang, Brandon Theodorou, Wang, Zifeng +7 · 1 citation
Mathematics · Medicine · Decision Sciences · #Statistical Methods in Clinical Trials #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews
- SPOT: Sequential Predictive Modeling of Clinical Trial Outcome with Meta-Learning
2023/04/07 by Wang, Zifeng, Xiao, Cao, Sun, Jimeng · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- AutoTrial: Prompting Language Models for Clinical Trial Design
2023/05/19 by Wang, Zifeng, Xiao, Cao, Sun, Jimeng · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
2023/06/02 by Jiang, Pengcheng, Xiao, Cao, Fu, Tianfan +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Zero-Resource Hallucination Prevention for Large Language Models
2023/09/06 by Luo, Junyu, Xiao, Cao, Ma, Fenglong · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
2025/03/04 by Chang, Aofei, Huang, Le, Bhatia, Parminder +3 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale
2024/03/15 by Pengcheng Jiang, Cao Xiao, Jiang, Pengcheng +9 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
2024/06/20 by Zhong, Yuan, Wang, Xiaochen, Wang, Jiaqi +5 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Deep Continuous-Time State-Space Models for Marked Event Sequences
2024/12/27 by Chang, Yuxin, Boyd, Alex, Xiao, Cao +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
2025/05/24 by Chang, Aofei, Huang, Le, Boyd, Alex James +4 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
2024/06/30 by Jintai Chen, Yaojun Hu, Chen, Jintai +27 · 1 citation
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging