← Authors

Wei Deng

21 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🗺️ 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

Guang Lin (9) Faming Liang (6) Qi Feng (5) Yuriy Nevmyvaka (3) Hengrong Du (3) Yu Chen (3) Qian Zhang (2) Botao Hao (2) Haoyang Zheng (2) Nicole Tianjiao Yang (2)

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