Session 1:Modern Bayesian Methods for Structured and High-Dimensional ModelsOrganize: Jaeyong Lee Seoul National University
Chair: Jaeyong Lee Seoul National University
| speaker | affiliation | title |
| Won Chang | Seoul National University | Challenges and Design Principles for Fast Bayesian Inference with Normalizing Flows |
| Joungyoun Kim | University of Seoul | Bayesian Donor Set Selection in Synthetic Control Method |
| Kyeongwon Lee | Inha University | Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality |
| Kwangmin Lee | Chonnam National University | Conditional Dirichlet Processes and Functional Condition Models |
Session 2:Bayesian Inference for Complex Structured DataOrganize: Shijia Wang ShanghaiTech University
Chair: Shijia Wang ShanghaiTech University
| speaker | affiliation | title |
| Yanfei Kang | Beihang University | Bayesian Forecast Combination with Predictive Priors via Particle Filtering |
| Kanfei Kang | Sun Yat-Sen University | Beyond Overall Diagnosis: A Longitudinal Multi-Domain Latent Structure Model for Domain-specific Parkinson's Disease Progression |
| Shijia Wang | ShanghaiTech University | A Delayed Acceptance Sequential Monte Carlo with Random Forests for Bayesian Phylogenetic Inference |
| Siliang Zhang | East China Normal University | Directed Network Discovery with Latent Variables: Identifiability and Estimation |
Session 3:Bayesian Modeling of Heterogeneous Structures: From Mixtures to Metric Space RegressionOrganize: Xinyuan Song The Chinese University of Hong Kong
Chair: Xinyuan Song The Chinese University of Hong Kong
| speaker | affiliation | title |
| Jingheng Cai | Sun Yat-Sen University | Bayesian Analysis of Mixture Models with Yeo-Johnson Transformation |
| Hefei Liu | Yunnan University of Finance and Economics | Bayesian Analysis of Frechet Regression |
| Fangda Song | The Chinese University of Hong Kong, Shenzhen | Identifying the Outbreak Mechanism of Animal Infectious Diseases Using Time-to-event Data |
| Rongqian Sun | Shenzhen University | Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome |
Session 4:Bayesian Methods in Unconventional AreasOrganize: Xiaodan Fan The Chinese University of Hong Kong
Chair: Xiaodan Fan The Chinese University of Hong Kong
| speaker | affiliation | title |
| Han Li | Shenzhen University | A Bayesian Stratified Mallows Model for Rank Aggregation |
| Ran Liu | Beijing Normal University | A Bayesian Framework for Multi-Scale Hierarchical Motif Modeling and Its Application in Immune Recognition |
| Jiandong Shi | The Chinese University of Hong Kong | Bayesian Updating Meta-Analysis |
| Lijun Wang | Zhejiang University | A Bayesian Approach for Knockoffs with Annotation Information |
Session 5:Advanced Models with Grouping Learning for Omics DataOrganize: Xiaodan Fan The Chinese University of Hong Kong
Chair: Xiaodan Fan The Chinese University of Hong Kong
| speaker | affiliation | title |
| Shanjun Mao | Hunan University | Gaussian Graphical Models Based on scRNA-seq Data: Integration of Homogeneity and Heterogeneity |
| Chaojie Wang | Jiangsu University | STransfer: A Transfer Learning-Enhanced GCN for Spatial Transcriptomics Data |
| Zhang Zhen | The First Institute, Kunming Institute of Physics | DIHap: A Direct Bayesian Inference method of Haplotypes from Sequencing Data |
| Bencong Zhu | The Chinese University of Hong Kong | BISON: bi-clustering of spatial omics data with feature selection |
Session 6:Bayesian Methods for Complex Biomedical and Behavioral DataOrganize: Feng Li Peking University
Chair: Feng Li Peking University
| speaker | affiliation | title |
Shufei Ge
| ShanghaiTech University | Bayesian Information Borrowing for (Ultra) High-Dimensional Brain Connectivity Inference |
| Feng Li | Peking University | Deep Isometric Manifold Embedding for Video Gestures |
| Wenliang Pan | Academy of Mathematics and Systems Science, CAS | Ball Impurity: Measuring Heterogeneity in General Metric Spaces |
| Yalie Yang | Peking University Cancer Hospital | Quantitative Analysis of Glucose Metabolic Parameters via Dynamic PET Imaging Using A Segmentation-Driven Probabilistic Graphical Model |
Session 7:Bayesian Methods for Complex Dynamics and Latent Structures: From Survival and Sequential Data to Educational MeasurementOrganize: Zhihua Ma Shenzhen University
Chair: Zhihua Ma Shenzhen University
| speaker | affiliation | title |
Fang Liu
| Northeast Normal University | Decomposition of WAIC for assessing the information gain with application to educational testing |
| Shaochuan Lv | Beijing Normal University | Robust Bayesian change point detection |
| Zhihua Ma | Shenzhen University | Modeling Nonlinear Ability Trajectories and Learner Heterogeneity in Online Learning: A Bayesian Nonparametric Dynamic IRT Framework |
| Chong Zhong | Hong Kong Polytechnic University | On MCMC mixing for predictive inference under unidentified transformation models |
Session 8:New Bayesian Approaches in Biomedical StudiesOrganize: Weining Shen University of California, Irvine
Chair: Weining Shen University of California, Irvine
| speaker | affiliation | title |
Xiangyu Luo
| Renmin University of China | Batch effect correction for heterogeneous DNA methylation data via Bayesian hierarchical beta mixtures |
| Juan Shen | Fudan University | Beyond a Single Biomarker: Adaptive Enrichment Design with Data-Driven Subgroup Rules |
| Yan Zhang | The University of Hong Kong | Bayesian Methods for Integrative Post-GWAS Inference |
Session 9:Monte Carlo, Diffusion, and Flow Methods for Bayesian InferenceOrganize: Cheng Li National University of Singapore
Chair: Cheng Li National University of Singapore
| speaker | affiliation | title |
| Cheng Zhang | Peking University | Wasserstein Convergence Guarantees for Distributional Diffusion Models |
| Xiyun Jiao | Southern University of Science and Technology | A Novel Framework Using Variational Inference with Normalizing Flows to Train Transport Reversible Jump Proposals |
| Rong Tang | Hong Kong University of Science and Technology | On Subsampling Metropolis-Hastings Algorithm for Non-smooth Bayesian Posterior Sampling |
| Ganchao Wei | Duke University | Jump-Process Flow Matching for High-Dimensional Count Data |
Session 10:Recent Advances in Bayesian Theory and ApplicationsOrganize: Ke Deng Tsinghua University
Chair: Junni Zhang Peking University
| speaker | affiliation | title |
| Junni Zhang | Peking University | Estimating COVID-19 Excess Deaths During the Pandemic and After: A New Bayesian Model, With an Application to New Zealand |
| Cheng Meng | Renmin University | BanditSIS: Adaptive Subsampling for Scalable Feature Screening |
| Yang Yang | Nankai University | Data-Efficient Multi-Functional Bayesian Optimization for Automated Metamaterial Design |
Session 11:Bayesian Methods for Causal Inference with Complex Survival DataOrganize: Liangyuan Hu Rutgers University
Chair: Jingheng Cai Sun Yat-Sen University
| speaker | affiliation | title |
| Liangyuan Hu | Rutgers University | Bayesian Structural Nested Failure Time Models for Causal Inference with Time-Varying Confounding and Survival Outcomes |
| Fan Li | Yale University | :Identification and Estimation of Causal Mechanisms in Cluster-Randomized Trials with Post-Treatment Confounding Using Bayesian Nonparametrics |
| Yinqiao Yan | Beijing University of Technology | BayesRare: Bayesian mixture model for population-level rare cell type detection in multi-subject single-cell RNA sequencing data |
| Guanyu Tong | Yale University | Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness |
Session 12:Bayesian Inference and Mathematical Guarantees for Generative and Latent-Variable ModelsOrganize: Rong Tang Hong Kong University of Science and Technology
Chair: Rong Tang Hong Kong University of Science and Technology
| speaker | affiliation | title |
| Biao Cai | City University of Hong Kong | Generalized Tensor Completion with Non-Random Missingness |
| Huaqing Jin | Tsinghua University | Bayesian inference of a spectral graph model for brain oscillations |
| Gen Li | The Chinese University of Hong Kong | Faster Convergence for Diffusion-Based Generative Models |
Session 13:Modern Bayesian Analysis and Its Novel ApplicationsOrganize: Yichuan Zhao Georgia State University
Chair: Puying Zhao Yunnan University
| speaker | affiliation | title |
| Ke Deng | Tsinghua University | A Bayesian Criterion for Re-randomization |
| Wu Jing | University of Rhode Island | Variational Bayes for Exponential Tilted Likelihood in Stationary Time Series Data |
| Jian Kang | University of Michigan | Bayesian Transfer Learning for Brain Computer Interfaces |
| Catherine Liu | Hong Kong Polytechnic University | Improving MCMC mixing under unidentified transformation models through prior adjustment |
Session 14:Robust Bayesian and High-Dimensional Methods for Complex Biomedical and Observational DataOrganize: Xia Wang University of Cincinnati
Chair: Xia Wang University of Cincinnati
| speaker | affiliation | title |
| Xuan Cao | University of Cincinnati | Integrative Bayesian Modeling for Functional MRI Data |
| Xia Wang | University of Cincinnati | Consistent and Scalable Variable Selection with Robust Link Functions |
| Yunan Wu | Tsinghua University | Robust High-dimensional Inference for Causal Effects Under Unmeasured Confounding and Invalid Instruments with an Application to Multivariable Mendelian Randomization Analysis |
| I-Tang Yu | Tunghai University | A Bayesian Multivariate Student-t Degradation Model for Dependent Log-Increments |
Session 15:Scalable Bayesian Learning for High-Dimensional Structured DataOrganize: Jian Kang University of Michigan
Chair: Jian Kang University of Michigan
| speaker | affiliation | title |
| Wei Hao | University of Michigan | BROWNIE: A Bayesian Random Weight Neural Network Inference Engine as a Scalable Alternative to Deep Learning |
| Jie He | Nanjing University of Aeronautics and Astronautics | Prior Knowledge Guided Ultra-high Dimensional Variable Screening with Application to Neuroimaging Data |
| Ben Wu | Renmin University of China | Bayesian Scalar-on-Network Regression with the Latent Space Hierarchical Spike-and-Slab Prior |
| Zhenke Wu | University of Michigan | Taxonomy-Informed Bayesian Semi-supervised Learning with Possibly Coarsened Labels |
Session 16:Bayesian Learning and Computation for Complex Data and Sequential Decision-MakingOrganize: Li Ma The University of Chicago
Chair: Li Ma The University of Chicago
| speaker | affiliation | title |
| Cheng Li | National University of Singapore | Accelerating Sequential Designs with Provably Accurate Hilbert Space Gaussian Processes |
| Li Ma | The University of Chicago | Generalized Bayesian density ratio learning |
| Xinyuan Song | The Chinese University of Hong Kong | Bayesian learning for longitudinal imaging and survival data |
Session 17:Modern Bayesian Methods for Complex Data and LearningOrganize: Yuexi Wang University of Illinois Urbana-Champaign
Chair: Yuexi Wang University of Illinois Urbana-Champaign
| speaker | affiliation | title |
| Feng Liang | University of Illinois Urbana-Champaign | Bayesian Smoothing and Feature Selection via Variational Automatic Relevance Determination |
| Guanyang Wang | Rutgers University | Noise as Lens and Lever in Diffusion Models |
| Bohai Zhang | Beijing Normal-Hong Kong Baptist University | A Bayesian treed partition model for spatial binary data with application to Arctic sea ice dataset |
Session 18:Advances in Statistical Learning and Decision-Making for Complex DataOrganize: Yanxun Xu Johns Hopkins University
Chair: Yanxun Xu Johns Hopkins University
| speaker | affiliation | title |
| Xiang Ji | Iowa State University | Action-based phylogenetic likelihood calculations for large state-space models |
| Aki Nishimura | Johns Hopkins University | High-dimensional Bayesian transfer learning through skew shrinkage priors: applications to genetic and electronic health records data |
| Yanxun Xu | Johns Hopkins University | Robust Bayesian Learning for Optimal Decision Making Under Unmeasured Confounding |
Session 19:Bayesian Modeling for Complex DataOrganize: Zehang Li University of California, Santa Cruz
Chair: Sheng Jiang The Chinese University of Hong Kong, Shenzhen
| speaker | affiliation | title |
| Sheng Jiang | The Chinese University of Hong Kong, Shenzhen | Errors-in-variables Gaussian Processes for Mixed-input Regression |
| Weining Shen | University of California, Irvine | Bayesian data integration in clinical trials |
| Xiaotian Zheng | University of Georgia | Bayesian quantile regression for marked temporal point processes |
Session 20:Scalable Bayesian and Statistical Learning for Complex Structured DataOrganize: Jiangyan Zhao East China Normal University
Chair: Jiangyan Zhao East China Normal University
| speaker | affiliation | title |
| Qingyi Pan | Tsinghua University | Reliable Multivariate Deep Regression using Moment-Matching Prior Networks |
| Xiaorui Wang | Nanjing University of Information Science & Technology | Bayesian analysis of nonlinear structured latent factor models with a Gaussian process prior |
| Jiangyan Zhao | East China Normal University | BKP: An R Package for Beta Kernel Process Modeling |
| Peng Sun | Shanghai University of Engineering Science | Automated landmark discovery method for integration of spatial omics data |
Session 21:Structured Modeling and Shrinkage for Complex and Heterogeneous DataOrganize: Meng Li Rice University
Chair: Meng Li Rice University
| speaker | affiliation | title |
| Liang Ding | Fudan University | The BdryMatérn GP: a new Gaussian process model for incorporating boundary information |
| Meimei Liu | Virginia Tech | Contrastive Latent Factor Modeling for Inter-Subject Heterogeneity with Application to Healthcare Time Series |
| Weixuan Zhu | Xiamen University | Graph Trend-Filtering for Denoising via Graph Shrinkage Processes |
Session 22:Recent developments in Bayesian inference for complex data modelsOrganize: Gyuhyeong Goh Kyungpook National University
Chair: Gyuhyeong Goh Kyungpook National University
| speaker | affiliation | title |
| Seongmin Kim | Ewha Womans University | Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior |
| Junwoo Jo | Kyungpook National University | Fully Bayesian synthetic control methods with sparse convex hull restriction and Gaussian process |
| Keunbaik Lee | Sungkyunkwan University | Bayesian Joint Modeling of Longitudinal and Survival Data with Heteroscedastic Covariance Structures for Repeated Outcomes |
Session 23:Bayesian Methods for Complex Data and Time Series ModelingOrganize: Cathy Chen Feng Chia University
Chair: Guanyu Hu Michigan State University
| speaker | affiliation | title |
| Tingting Zhao | University of Rhode Island | A Bayesian Nonparametric Probabilistic Model with Variational Inference for Identifying Comorbidity Heterogeneity in Chronic Disease Populations |
| Wei-Ting Lai | Feng Chia University | Particle-Filter-Assisted Variational Bayesian Estimation for VAR Models with Poisson Jumps |
| Feng Chi Liu | Feng Chia University | Zero-One Inflated Ordinal Time Series Models for Stock Return Interval Modeling under a Bayesian Framework |
| Xiangnan Feng | Fudan University | Bayesian nonhomogenous regime-switching mixed-frequency regression |
Session 24:Bayesian Theory, Networks, and PrivacyOrganize: Yeongjin Gwon University of Nebraska Medical Center
Chair: Bencong Zhu Shenzhen University
| speaker | affiliation | title |
| Yuan Wang | University of South Carolina | Topological Representations for Latent Structure Learning on Functional Brain Networks |
| Fan Bu | University of Michigan | Hierarchical Bayesian Nonparamterics Framework for Evidence Synthesis across Federated Data Networks |
| Fang Liu | Notre Dame University | On Inherent Privacy of Posterior Sampling: A Unified Renyi-Divergence Framework |
Session 25:Novel Bayesian Models and Methods in Item Response TheoryOrganize: Fan Liu, Northeast Normal University
Chair: Yincai Tang, East China Normal University
| speaker | affiliation | title |
| Jialing Tan | Northeast Normal University | Bayesian Multilevel Modeling for Jointly Handling Missing Response and Background Covariate Data in Large-Scale Educational Assessments |
| Siyao Cheng | Northeast Normal University | Model-Based Clustering of Mixed-Format Multidimensional Item Responses via Gaussian Mixture Modeling of Latent Traits |
| LV BIN | East China Normal University | A Cumulative Ordered Spike-and-Slab Prior for Adaptive Dimension Selection in Joint Latent Space Models
|
| ZhouYu | East China Normal University | Adaptive Dimension Selection in Multidimensional Graded Response Models via Cumulative Shrinkage Priors
|
Session 26:Bayesian Modeling and ApplicationsOrganize: Yincai Tang, East China Normal University
Chair: Yanlin Tang, East China Normal University
| speaker | affiliation | title |
| Xian Shi | East China Normal University | A Bayesian Phase I Trial Design for T Cell-engaging Therapy with Step-in Dose Regimen
|
| Huang Yingchun | Yunnan University of Finance and Economic | Bayesian Variable Selection for Fre?chet Regression |
| Liangliang Zhuang | Nanjing University of Science and Technology | On Inherent Privacy of Posterior Sampling: A Unified Renyi-Divergence Framework |
| Yuanyuan Jiang | Beijing University of Technology | Simultaneous Testing of Mean Vector and Covariance Matrix via Posterior Bayes Factor |
Session 27:Advances in Bayesian Inference for Latent Heterogeneity, Missing Data, and Distributional InvarianceOrganize: Juan Shen, Fudan University
Chair: Juan Shen, Fudan University
| speaker | affiliation | title |
| Xiaolei Lin | Fudan University | Uncovering Multi-Omics Profiles of Population Heterogeneity: A Cluster-Based Bayesian Approach
|
| Yixin Zhang | University of Science and Technology of China | Multiple-Imputation-Based Multivariate One-Sided Tests for Nonlinear Mixed-Effects Models with Left-censored Responses and Covariate Measurement Error
|
| Ruqian Zhang | Fudan University | Bayesian Environment Invariant Regression |
Session 28:Recent Advances in Statistical Inference with Complex Data Structures
Organize: Long Feng, Nankai University
Chair: Long Feng, Nankai University
| speaker | affiliation | title |
| Dan Zhuang | Fujian Normal University | Change-Point Detection for Dynamic Networks via DeepWalk |
| Yuanyuan Ju | Kunming University of Science and Technology | Randomized Integrative Conformal p-values for Online Outlier Detection |
| Mengtao Wen | Nankai University | Empirical likelihood meets prediction-powered inference |
| Huang Xifen | Yunnan Normal University | A general joint modeling framework for longitudinal and time-to-event data with flexible random-effects |
Session 29:Bayesian Statistical Inference and Federated Learning under Heterogeneous Data Environments
Organizer: Xiaodong Yan, Xi’an Jiaotong University
Chair: Xianwen Ding, Jiangsu University of Technology
| speaker | affiliation | title |
Chengshun ZHENG
Xianwen Ding
| Jiangsu University of Technology | Semi-parametric Precision Calibration for Alzheimer’s Early Screening in Heterogeneous Federated Learning
|
| Wei Dong | Zhengzhou University | Robust decentralized federated learning with ultra-high dimensional heterogeneous data |
| Fan Liang | Kunming University of Science and Technology | New approaches for testing non-inferiority in a three-arm trial with normally distributed endpoints
|
| Xiaoming Sha | Kunming University of Science and Technology | Bayesian Inference for Growing-Dimensional Models with Nonignorable Missing Data: Penalized Moment-Based Methods |
Session 30:Modern Bayesian Computation
Organizer: Yuling Jiao, Wuhan University
Chair: Yuling Jiao, Wuhan University
| speaker | affiliation | title |
Cheng Yuan
| Wuhan University | Nonlinear Assimilation via Score-based Sequential Langevin Sampling
|
| Wensen Ma | The Hong Kong Polytechnic University (PolyU) | Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
|
| Ruoxuan Li | Wuhan University | Provable Diffusion Posterior Sampling for Bayesian Inversion
|
| Lican Kang | Wuhan University | Provable RLHF: A Consistent Framework for Offline Reward Learning and Value Function |
Session 31:Advances in Complex Data Analysis
Organizer: Shaojun Guo, Renmin University of China
Chair: Shaojun Guo, Renmin University of China
| speaker | affiliation | title |
Chenchen Ma, AMSS
| Chinese Academy of Sciences | The Factor Tree: A Data-Driven Approach to Regime Switching in High-Dimensions
|
| Shuyuan Wu | Shanghai University of Finance and Economics | Adaptive Decentralized Federated Learning for Robust Optimization
|
| Huijuan Zhou | Shanghai University of Finance and Economics | PQuasi-Poisson Compositional Regression for Differential Abundance Analysis
|
Session 32:Advances in Bayesian Statistical Methods for Complex Data
Organizer: Zhouping Li, Lanzhou University
Chair: Zhouping Li, Lanzhou University
| speaker | affiliation | title |
Zerui Tao
| RIKEN AIP | Bayesian Tensor Methods for Data, Models, and Distributions
|
| Jiandong Zhang | Northwest Normal University | Statistical Modeling and Residual Lifetime Prediction for Fractional Wiener Degradation Processes with Random Effects
|
| Aodong Guo | University of MACAU | Generalized-Bayes Portfolio Learning on the Feasible Action Space
|
| Zhouping Li | Lanzhou University | A Variational Empirical Bayes Approach for Tensor Quantile Regression |
Session 33:Modern Bayesian and Generative Learning Methods for Complex Data Analysis
Organizer: Puying Zhao, Yunnan University
Chair: Puying Zhao, Yunnan University
| speaker | affiliation | title |
Chunxia Zhang
| Xi'an Jiaotong University | Seismic Data Interpolation via Denoising Diffusion Implicit Models
|
| Yunxian Li | Yunnan University of Finance and Economics
| Extreme Risk Assessment of Earthquake Catastrophe Loss Based on Bayesian Dynamic Quantile Model Averaging
|
| Jiangcheng Li | Yunnan University of Finance and Economics
| Semiparametric Bayesian Model Averaging with Cluster Data for Asset Pricing
|
| Fengting Yi | Yunnan University
| Variational Bayesian Estimation for Joint Models of Longitudinal and Survival Data with Random Change Point |
Session 34:High-dimensional and Functional data analysis
Organizer: Guochang Wang, Jinan University
Chair: Qingzhi Zhong, Jinan University
| speaker | affiliation | title |
Wenjuan Hu
| Capital University of Economics and Business | Hypothesis testing in high dimensional linear regression via wild bootstrapping
|
| Miaojie Xia | Beijing University of Technology
| Spatio-Temporal Stick-Breaking Count Regressions
|
| Wei Zhang | Beijing University of Technology
| Hyper Inverse Wishart Process for Dynamic Brain Functional Connectivity
|
| Qingzhi Zhong | Jinan University
| High-Dimensional Multi-Study Multi-Modality Covariate-Augmented Generalized Factor Model |