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Qian, Xiaoning

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Variational Graph Recurrent Neural Networks
    2019/08/26 by Ehsan Hajiramezanali, Arman Hasanzadeh, Hajiramezanali, Ehsan +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
  7. QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules
    2023/06/15 by Haiyang Yu, Yu, Haiyang, Meng Liu +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
  8. 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
  9. 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)
  10. Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
    2025/02/28 by Yan, Keqiang, Li, Xiner, Ling, Hongyi +8 · 8 citations
    #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  11. Probabilistic Best Subset Selection via Gradient-Based Optimization
    2020/06/11 by Yin, Mingzhang, Ho, Nhat, Yan, Bowei +2 · 2 citations
    #FOS: Computer and information sciences #Methodology (stat.ME)
  12. 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
  13. Optimal Clustering with Missing Values
    2019/02/26 by Boluki, Shahin, Dadaneh, Siamak Zamani, Qian, Xiaoning +1 · 1 citation
    #Applications (stat.AP) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Quantitative Methods (q-bio.QM)
  14. Bayesian Gamma-Negative Binomial Modeling of Single-Cell RNA Sequencing Data
    2019/08/01 by Siamak Zamani Dadaneh, Paul de Figueiredo, Dadaneh, Siamak Zamani +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
  15. Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images
    2019/05/15 by Chen, Wuyang, Jiang, Ziyu, Wang, Zhangyang +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  16. ARSM Gradient Estimator for Supervised Learning to Rank
    2019/11/01 by Dadaneh, Siamak Zamani, Boluki, Shahin, Zhou, Mingyuan +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
    2020/03/03 by Huo, Zepeng, PakBin, Arash, Chen, Xiaohan +6 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
    2024/05/20 by Xihaier Luo, Xiaoning Qian, Luo, Xihaier +3 · 2 citations
    Physics and Astronomy · Engineering · #Advanced Optical Sensing Technologies #Optical Systems and Laser Technology #Image Processing Techniques and Applications
  19. 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
  20. Experimental Design via Generalized Mean Objective Cost of Uncertainty
    2018/05/03 by Boluki, Shahin, Qian, Xiaoning, Dougherty, Edward R. · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
  21. Fast Exact Computation of Expected HyperVolume Improvement
    2018/12/18 by Zhao, Guang, Arroyave, Raymundo, Qian, Xiaoning · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
    2023/09/06 by Jantre, Sanket, Urban, Nathan M., Qian, Xiaoning +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  23. A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
    2024/06/03 by Keqiang Yan, Alexandra Saxton, Yan, Keqiang +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
  24. A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures
    2025/02/25 by Yan, Keqiang, Bohde, Montgomery, Kryvenko, Andrii +10 · 2 citations
    #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci)
  25. Towards Invariant Time Series Forecasting in Smart Cities
    2024/05/08 by Ziyi Zhang, Shaogang Ren, Zhang, Ziyi +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
  26. 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
  27. Hyperparameter Tuning Through Pessimistic Bilevel Optimization
    2024/12/04 by Meltem Apaydin Ustun, Ustun, Meltem Apaydin, Liang Xu +5 · 1 citation
    Decision Sciences · Computer Science · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Advanced Optimization Algorithms Research
  28. Causal Bayesian Optimization via Exogenous Distribution Learning
    2024/02/03 by Ren, Shaogang, Qian, Xiaoning · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)