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Author

Wei Deng

Observed name: Deng, Wei
ORCID: 0000-0001-8685-1751
Observed ORCID: 0000-0001-8685-1751
OpenAlex ID: A5076740334
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
2021 · Wei Deng, Junwei Pan, et al. · ACM International Conference on Web Search and Data Mining (WSDM) · 78
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An Adaptive Empirical Bayesian Method for Sparse Deep Learning
2019 · Deng, Wei, Zhang, Xiao, et al. · PubMed · 32
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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
2020 · Deng, Wei, Feng, Qi, et al. · PubMed · 28
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An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization
2022 · Wei Deng, Guang Lin, et al. · Statistics and Computing · 9
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
2020 · Deng, Wei, Lin, Guang, et al. · PubMed · 9
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Bayesian sparse learning with preconditioned stochastic gradient MCMC and its applications
2021 · Yating Wang, Wei Deng, et al. · Journal of Computational Physics · 7
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications
2017 · Zhang, Rongrong, Deng, Wei, et al. · arXiv (Cornell University) · 6
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Interacting Contour Stochastic Gradient Langevin Dynamics
2022 · Deng, Wei, Liang, Siqi, et al. · arXiv (Cornell University) · 4
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Information Directed Sampling for Sparse Linear Bandits
2021 · Hao, Botao, Lattimore, Tor, et al. · arXiv (Cornell University) · 4
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Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
2024 · Zheng, Haoyang, Deng, Wei, et al. · arXiv (Cornell University) · 3
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An adaptive Hessian approximated stochastic gradient MCMC method
2021 · Yating Wang, Wei Deng, et al. · Journal of Computational Physics · 3
A Sparse Deep Factorization Machine for Efficient CTR prediction
2020 · Wei Deng, Junwei Pan, et al. · arXiv (Cornell University) · 3
Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation
2018 · Wei Deng, Xiao Zhang, et al. · 3
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
2024 · Zheng, Haoyang, Du, Hengrong, et al. · arXiv (Cornell University) · 2
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Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
2020 · Deng, Wei, Feng, Qi, et al. · Durham Research Online (Durham University) · 2
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Variational Schrödinger Diffusion Models
2024 · Deng, Wei, Luo, Weijian, et al. · arXiv (Cornell University) · 1
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Batch Normalization Preconditioning for Stochastic Gradient Langevin Dynamics
2023 · Susanna Lange, Wei Deng, et al. · Journal of Machine Learning · 1
Explore Broadly, Reason Sharply: Push Small Models toward the Frontier via Sampling
2026 · Theodoropoulos, Panagiotis, Jiang, Nan, et al. · arXiv (Cornell University)
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Inference-Time Alignment of Diffusion Models via Trust-Region Iterative Twisted Sequential Monte Carlo
2026 · Wang, Weixin, Yang, Yu, et al. · arXiv (Cornell University)
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Generalized Discrete Diffusion with Self-Correction
2026 · Wang, Linxuan, Wang, Ziyi, et al. · arXiv (Cornell University)
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Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
2025 · Rojas, Kevin, Lin, Jiahe, et al. · arXiv (Cornell University)
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Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment
2025 · Wei, Quan, Zeng, Siliang, et al. · arXiv (Cornell University)
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Optimal Stochastic Trace Estimation in Generative Modeling
2025 · Liu, Xinyang, Du, Hengrong, et al. · arXiv (Cornell University)
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Variational Schrödinger Momentum Diffusion
2025 · Rojas, Kevin, Tan, Yixin, et al. · arXiv (Cornell University)
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Denoising Fisher Training For Neural Implicit Samplers
2024 · Luo, Weijian, Deng, Wei · arXiv (Cornell University)
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Works count: 31
Citation count: 195
H-index: 6
I10-index: 3
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