Wei Deng
21 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (9)
🗺️
Taxonomy Completionist
(24)
🌉
Interdisciplinary Bridge
🏃
Academic Marathon
(9)
🏆
Grand Slam
🗃️
Keyword Collector
(56)
⚡
Prolific Year
(7)
🚀
Conference Pioneer
💎
Century Club
(20)
🔥
Unstoppable
(7)
📈
Trend Setter
❓
The Questioner
Conferences
ICML (4)
AISTATS (3)
NIPS (3)
AAAI (2)
ICLR (2)
UAI (2)
ACML (1)
COLING (1)
CVPR (1)
ECCV (1)
INTERSPEECH (1)
Top co-authors
Keywords
posterior sampling
(2)
replica exchange
(2)
markov chain monte carlo
(2)
stochastic gradient descent
(2)
parallel tempering
(2)
statistical analysis
(1)
optimal transport
(1)
variational inference
(1)
model calibration
(1)
empirical bayesian
(1)
approximate inference
(1)
speech recognition
(1)
autoregressive generation
(1)
language model evaluation
(1)
spike-and-slab prior
(1)
parameter estimation
(1)
scene understanding
(1)
connectionist temporal classification
(1)
bayesian optimization
(1)
model selection
(1)
Papers
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
AAAI 2026
Optimal Stochastic Trace Estimation in Generative Modeling
AISTATS 2025
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
CVPR 2025
Variational Schrödinger Momentum Diffusion
AISTATS 2025
Faceptor: A Generalist Model for Face Perception
ECCV 2024
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
Variational Schrödinger Diffusion Models
ICML 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
ICML 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling
UAI 2024
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation
ICML 2023
Non-reversible Parallel Tempering for Deep Posterior Approximation
AAAI 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
NIPS 2021
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
ICML 2020
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
NIPS 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NIPS 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