Zhengmian Hu
21 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (7)
πΊοΈ
Taxonomy Completionist
(11)
π€
Dynamic Duo
(16)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team
(34)
ποΈ
Keyword Collector
(102)
β‘
Prolific Year
(8)
π
Century Club
(21)
Conferences
NIPS (6)
ICML (5)
AAAI (3)
ACL (3)
ICLR (2)
AISTATS (1)
EMNLP (1)
Top co-authors
Keywords
stochastic gradient descent
(3)
variance reduction
(3)
minimax optimization
(3)
gradient complexity
(3)
stochastic gradient
(2)
nonconvex optimization
(2)
federated learning
(2)
communication efficiency
(2)
large language model
(2)
non-convex optimization
(2)
sample complexity
(2)
bayesian inference
(1)
neural tangent kernel
(1)
policy gradient
(1)
convex optimization
(1)
bayesian learning
(1)
one-shot learning
(1)
distributed learning
(1)
active learning
(1)
deep learning theory
(1)
Papers
Towards Optimal Multi-draft Speculative Decoding
ICLR 2025
Cautious Next Token Prediction
ACL 2025
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
GUI Agents: A Survey
ACL 2025
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
ICML 2024
Robust Reinforcement Learning with General Utility
NIPS 2024
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
NIPS 2024
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
EMNLP 2024
Unbiased Watermark for Large Language Models
ICLR 2024
Accelerated Speculative Sampling Based on Tree Monte Carlo
ICML 2024
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks
NIPS 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NIPS 2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
AISTATS 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
ICML 2023
Tighter Analysis for ProxSkip
ICML 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Faster Adaptive Federated Learning
AAAI 2023
Federated Conditional Stochastic Optimization
NIPS 2023
Optimal Underdamped Langevin MCMC Method
NIPS 2021
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
AAAI 2021
On the Random Conjugate Kernel and Neural Tangent Kernel
ICML 2021