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Hu, Zhengmian
18 publications
ICLRW
2025
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
Zhengmian Hu
,
Gang Wu
,
Saayan Mitra
,
Ruiyi Zhang
,
Tong Sun
,
Heng Huang
,
Viswanathan Swaminathan
ICLR
2025
Towards Optimal Multi-Draft Speculative Decoding
Zhengmian Hu
,
Tong Zheng
,
Vignesh Viswanathan
,
Ziyi Chen
,
Ryan A. Rossi
,
Yihan Wu
,
Dinesh Manocha
,
Heng Huang
ICML
2024
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
Yihan Wu
,
Zhengmian Hu
,
Junfeng Guo
,
Hongyang Zhang
,
Heng Huang
ICML
2024
Accelerated Speculative Sampling Based on Tree Monte Carlo
Zhengmian Hu
,
Heng Huang
NeurIPS
2024
Inevitable Trade-Off Between Watermark Strength and Speculative Sampling Efficiency for Language Models
Zhengmian Hu
,
Heng Huang
NeurIPS
2024
Robust Reinforcement Learning with General Utility
Ziyi Chen
,
Yan Wen
,
Zhengmian Hu
,
Heng Huang
ICLR
2024
Unbiased Watermark for Large Language Models
Zhengmian Hu
,
Lichang Chen
,
Xidong Wu
,
Yihan Wu
,
Hongyang Zhang
,
Heng Huang
AISTATS
2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
Feihu Huang
,
Xidong Wu
,
Zhengmian Hu
ICML
2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization
Zhengmian Hu
,
Xidong Wu
,
Heng Huang
AAAI
2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
Xidong Wu
,
Zhengmian Hu
,
Heng Huang
AAAI
2023
Faster Adaptive Federated Learning
Xidong Wu
,
Feihu Huang
,
Zhengmian Hu
,
Heng Huang
NeurIPS
2023
Federated Conditional Stochastic Optimization
Xidong Wu
,
Jianhui Sun
,
Zhengmian Hu
,
Junyi Li
,
Aidong Zhang
,
Heng Huang
NeurIPS
2023
Optimization and Bayes: A Trade-Off for Overparameterized Neural Networks
Zhengmian Hu
,
Heng Huang
NeurIPS
2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu
,
Jianhui Sun
,
Zhengmian Hu
,
Aidong Zhang
,
Heng Huang
ICML
2023
Tighter Analysis for ProxSkip
Zhengmian Hu
,
Heng Huang
AAAI
2021
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
Huimin Wu
,
Zhengmian Hu
,
Bin Gu
ICML
2021
On the Random Conjugate Kernel and Neural Tangent Kernel
Zhengmian Hu
,
Heng Huang
NeurIPS
2021
Optimal Underdamped Langevin MCMC Method
Zhengmian Hu
,
Feihu Huang
,
Heng Huang