Xiaoning Qian
- Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023/07/17 by Xuan Zhang, Zhang, Xuan, Limei Wang +123 · 1 voice · 22 citations
#cs.LG #physics.comp-ph
- Bayesian Graph Neural Networks with Adaptive Connection Sampling
2020/06/07 by Arman Hasanzadeh, Hasanzadeh, Arman, Ehsan Hajiramezanali +11 · 8 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
2023/06/08 by Haiyang Yu, Xu Zhao, Yu, Haiyang +7 · 12 citations
Materials Science · Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Machine Learning in Materials Science #Protein Structure and Dynamics #Advanced Chemical Physics Studies
- Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
2023/06/12 by Yuchao Lin, Keqiang Yan, Lin, Yuchao +9 · 9 citations
Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Topic Modeling #X-ray Diffraction in Crystallography
- Complete and Efficient Graph Transformers for Crystal Material Property Prediction
2024/03/18 by Keqiang Yan, Cong Fu, Yan, Keqiang +7 · 10 citations
Materials Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography
- Optimal Bayesian Transfer Learning
2018/01/02 by Alireza Karbalayghareh, Xiaoning Qian, Edward R. Dougherty · 1 voice · 1 citation
Mathematics · Computer Science · #stat.ML #cs.CV #cs.LG
- Variational Graph Recurrent Neural Networks
2019/08/26 by Ehsan Hajiramezanali, Hajiramezanali, Ehsan, Arman Hasanzadeh +9 · 4 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
- QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
2023/06/15 by Haiyang Yu, Meng Liu, Yu, Haiyang +11 · 6 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- A Latent Diffusion Model for Protein Structure Generation
2023/05/06 by Cong Fu, Keqiang Yan, Fu, Cong +17 · 6 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics
- Semi-Implicit Graph Variational Auto-Encoders
2019/08/19 by Arman Hasanzadeh, Ehsan Hajiramezanali, Hasanzadeh, Arman +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Genomics and Chromatin Dynamics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
2018/10/22 by Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Hajiramezanali, Ehsan +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Applications (stat.AP) #Biomedical Text Mining and Ontologies #FOS: Biological sciences #FOS: Computer and information sciences #Gene expression and cancer classification #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
- Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
2019/08/01 by Siamak Zamani Dadaneh, Dadaneh, Siamak Zamani, Paul de Figueiredo +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Applications (stat.AP) #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning and Algorithms #Single-cell and spatial transcriptomics
- Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
2024/05/20 by Xihaier Luo, Luo, Xihaier, Xiaoning Qian +3 · 2 citations
Physics and Astronomy · Engineering · #Advanced Optical Sensing Technologies #Optical Systems and Laser Technology #Image Processing Techniques and Applications
- Path-Guided Particle-based Sampling
2024/12/04 by Mingzhou Fan, Ruida Zhou, Fan, Mingzhou +5 · 3 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Molecular Biology Techniques and Applications
- A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
2024/06/03 by Keqiang Yan, Yan, Keqiang, Alexandra Saxton +7 · 1 citation
Earth and Planetary Sciences · Environmental Science · Materials Science · #Artificial Intelligence (cs.AI) #Atomic Physics (physics.atom-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Methane Hydrates and Related Phenomena #Seismic Imaging and Inversion Techniques #X-ray Diffraction in Crystallography
- Towards Invariant Time Series Forecasting in Smart Cities
2024/05/08 by Ziyi Zhang, Zhang, Ziyi, Shaogang Ren +5 · 1 citation
Computer Science · Economics, Econometrics and Finance · Engineering · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
- Understanding Uncertainty-based Active Learning Under Model Mismatch
2024/08/24 by Amir Rahmati, Mingzhou Fan, Rahmati, Amir Hossein +9 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Hyperparameter Tuning Through Pessimistic Bilevel Optimization
2024/12/04 by Meltem Apaydin Ustun, Liang Xu, Ustun, Meltem Apaydin +5 · 1 citation
Decision Sciences · Computer Science · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Advanced Optimization Algorithms Research
- When Do Multi-Agent Systems Help? An Information Bottleneck Perspective
2026/07/17 by Wendi Yu, Lianhao Zhou, Xiangjue Dong +6
#cs.LG #cs.AI