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Mingyuan Zhou

Identifiers

  • name variant Mingyuan Zhou 0.60 · backfill

Papers (43)

  1. Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion cs.CV · 2025 · author #4
  2. Disentangled Generative Graph Representation Learning cs.LG · 2024 · author #9
  3. Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning cs.LG · 2022 · author #3
  4. Semi-Implicit Generative Model stat.ML · 2019 · author #2
  5. Convolutional Poisson Gamma Belief Network stat.ML · 2019 · author #4
  6. Variational Autoencoders for Sparse and Overdispersed Discrete Data cs.LG · 2019 · author #5
  7. Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field cs.CV · 2019 · author #1
  8. Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy cs.LG · 2019 · author #3
  9. Dirichlet belief networks for topic structure learning cs.IR · 2018 · author #4
  10. Deep Poisson gamma dynamical systems stat.ML · 2018 · author #4
  11. Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data stat.ML · 2018 · author #4
  12. Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks stat.ME · 2018 · author #2
  13. Semi-Implicit Variational Inference stat.ML · 2018 · author #2
  14. Parsimonious Bayesian deep networks stat.ML · 2018 · author #1
  15. Masking: A New Perspective of Noisy Supervision cs.LG · 2018 · author #4
  16. Locally Private Bayesian Inference for Count Models stat.ML · 2018 · author #4
  17. Differential Expression Analysis of Dynamical Sequencing Count Data with a Gamma Markov Chain stat.AP · 2018 · author #5
  18. Discussion on "Sparse graphs using exchangeable random measures" by Francois Caron and Emily B. Fox stat.ME · 2018 · author #1
  19. Nonparametric Bayesian Sparse Graph Linear Dynamical Systems stat.ML · 2018 · author #3
  20. Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC stat.ML · 2017 · author #4
  21. BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts stat.AP · 2017 · author #2
  22. Poisson--Gamma Dynamical Systems stat.ML · 2017 · author #2
  23. Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression stat.ME · 2016 · author #2
  24. Softplus Regressions and Convex Polytopes stat.ML · 2016 · author #1
  25. BNP-Seq: Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data stat.AP · 2016 · author #3
  26. Frequency of Frequencies Distributions and Size Dependent Exchangeable Random Partitions stat.ME · 2016 · author #1
  27. Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions stat.CO · 2016 · author #3
  28. Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations stat.ML · 2016 · author #2
  29. Nonparametric Bayesian Negative Binomial Factor Analysis stat.ME · 2016 · author #1
  30. Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices stat.ML · 2015 · author #3
  31. Gamma Belief Networks stat.ML · 2015 · author #1
  32. The Poisson Gamma Belief Network stat.ML · 2015 · author #1
  33. Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction stat.ML · 2015 · author #1
  34. Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling stat.ME · 2014 · author #1
  35. Sample Size Dependent Species Models stat.ME · 2014 · author #1
  36. Priors for Random Count Matrices Derived from a Family of Negative Binomial Processes stat.ME · 2014 · author #1
  37. Generalized Negative Binomial Processes and the Representation of Cluster Structures stat.ME · 2013 · author #1
  38. Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning & Mixture Modeling q-bio.QM · 2013 · author #5
  39. Nested Dictionary Learning for Hierarchical Organization of Imagery and Text cs.LG · 2012 · author #3
  40. A Bayesian Nonparametric Approach to Image Super-resolution cs.LG · 2012 · author #2
  41. Negative Binomial Process Count and Mixture Modeling stat.ME · 2012 · author #1
  42. Augment-and-Conquer Negative Binomial Processes stat.ML · 2012 · author #1
  43. Beta-Negative Binomial Process and Poisson Factor Analysis stat.ML · 2011 · author #1

Mentions

  • 1210.4872 #3 · backfill · confidence 0.70 Mingyuan Zhou
  • 1209.5019 #2 · backfill · confidence 0.70 Mingyuan Zhou
  • 1209.3442 #1 · backfill · confidence 0.70 Mingyuan Zhou
  • 1209.1119 #1 · backfill · confidence 0.70 Mingyuan Zhou
  • 1112.3605 #1 · backfill · confidence 0.70 Mingyuan Zhou

Frequent Coauthors