Guang Lin
16 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (6)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(6)
🏆
Keyword Champion
(3)
🏆
Grand Slam
🔥
Unstoppable
(7)
💎
Century Club
(15)
⚡
Prolific Year
(6)
Conferences
AAAI (3)
ICLR (3)
AISTATS (2)
ICML (2)
NIPS (2)
ACML (1)
CVPR (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
replica exchange
(3)
markov chain monte carlo
(3)
neural network
(2)
langevin dynamics
(2)
stochastic gradient descent
(2)
parallel tempering
(2)
variational inference
(1)
data augmentation
(1)
approximate inference
(1)
mathematical reasoning
(1)
feature extraction
(1)
emotion recognition
(1)
posterior sampling
(1)
zero-shot learning
(1)
posterior approximation
(1)
domain adaptation
(1)
thompson sampling
(1)
discrete sampling
(1)
spectral decomposition
(1)
bayesian optimization
(1)
Papers
Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
AAAI 2026
Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance
CVPR 2025
LLM Reasoning Engine: Specialized Training for Enhanced Mathematical Reasoning
NAACL 2025
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
AISTATS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
AISTATS 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
ICLR 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
ICML 2024
Federated X-armed Bandit
AAAI 2024
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
Multi-Branch Network for Cross-Subject EEG-based Emotion Recognition
ACML 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