Wei Deng
21 papers · 2016–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (42) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Grand Slam
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(95)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(5)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(8)
Deep Learning
(7)
Bayesian & Probabilistic · Machine Learning
(7)
Learning Types · Machine Learning
(7)
Models
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Optimization
(3)
Speech & Audio
(2)
Application Areas
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Keywords
markov chain monte carlo
(6)
posterior sampling
(3)
optimal transport
(3)
replica exchange
(3)
variational score
(2)
spike-and-slab prior
(2)
diffusion model
(2)
variance reduction
(2)
stochastic gradient descent
(2)
stochastic gradient langevin dynamics
(2)
langevin dynamics
(2)
generative model
(2)
parallel tempering
(2)
uncertainty quantification
(1)
empirical bayesian
(1)
model selection
(1)
parameter estimation
(1)
scene understanding
(1)
image generation
(1)
generative modeling
(1)
Papers
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
AAAI 2026
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
CVPR 2025
Optimal Stochastic Trace Estimation in Generative Modeling
AISTATS 2025
Variational Schrödinger Momentum Diffusion
AISTATS 2025
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?
COLING 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
ICML 2024
Faceptor: A Generalist Model for Face Perception
ECCV 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
UAI 2024
Variational Schrödinger Diffusion Models
ICML 2024
Non-reversible Parallel Tempering for Deep Posterior Approximation
AAAI 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
ICML 2023
Interacting Contour Stochastic Gradient Langevin Dynamics
ICLR 2022
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
ICLR 2021
Information Directed Sampling for Sparse Linear Bandits
NeurIPS 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
NeurIPS 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
ICML 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NeurIPS 2019
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
ACML 2017
Phone Synchronous Decoding with CTC Lattice
Interspeech 2016