Mingyuan Zhou

59

Papers

30

Total Citations

Papers (59)

OmniMotionGPT: Animal Motion Generation with Limited Data

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Partition-Guided GANs

Adversarially Adaptive Normalization for Single Domain Generalization

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration

Class-Balancing Diffusion Models

Polarimetric Helmholtz Stereopsis

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification

The Poisson Gamma Belief Network

NeurIPS 2015arXiv

Poisson-Gamma dynamical systems

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection

Switchable Decision: Dynamic Neural Generation Networks

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

Rotational Crossed-Slit Light Field

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

A Prototype-Oriented Framework for Unsupervised Domain Adaptation

Probabilistic Margins for Instance Reweighting in Adversarial Training

Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport

A Variational Edge Partition Model for Supervised Graph Representation Learning

Knowledge-Aware Bayesian Deep Topic Model

A Unified Framework for Alternating Offline Model Training and Policy Learning

CARD: Classification and Regression Diffusion Models

Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient

Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification

HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory

In-Context Learning Unlocked for Diffusion Models

Preference-grounded Token-level Guidance for Language Model Fine-tuning

Beta Diffusion

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC

Semi-Implicit Variational Inference

Inter and Intra Topic Structure Learning with Word Embeddings

Locally Private Bayesian Inference for Count Models

Convolutional Poisson Gamma Belief Network

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables

Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data

Deep Poisson gamma dynamical systems

Masking: A New Perspective of Noisy Supervision

Dirichlet belief networks for topic structure learning

Parsimonious Bayesian deep networks

Poisson-Randomized Gamma Dynamical Systems

Variational Graph Recurrent Neural Networks

Semi-Implicit Graph Variational Auto-Encoders

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network

Bidirectional Convolutional Poisson Gamma Dynamical Systems

Implicit Distributional Reinforcement Learning

Bayesian Attention Modules

TopicNet: Semantic Graph-Guided Topic Discovery

Convex Polytope Trees

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

Alignment Attention by Matching Key and Query Distributions