Zhengmian Hu

Orcid: 0000-0003-0316-146X

According to our database1, Zhengmian Hu authored at least 24 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
5
10
4
3
1
4
9
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction.
CoRR, 2024

Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models.
CoRR, 2024

A Survey of Small Language Models.
CoRR, 2024

Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions.
CoRR, 2024

A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerated Speculative Sampling Based on Tree Monte Carlo.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unbiased Watermark for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information.
CoRR, 2023

GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset.
CoRR, 2023

DiPmark: A Stealthy, Efficient and Resilient Watermark for Large Language Models.
CoRR, 2023

Solving a Class of Non-Convex Minimax Optimization in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Conditional Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimization and Bayes: A Trade-off for Overparameterized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization.
Proceedings of the International Conference on Machine Learning, 2023

Tighter Analysis for ProxSkip.
Proceedings of the International Conference on Machine Learning, 2023

AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Faster Adaptive Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
A New Framework for Variance-Reduced Hamiltonian Monte Carlo.
CoRR, 2021

Optimal Underdamped Langevin MCMC Method.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Random Conjugate Kernel and Neural Tangent Kernel.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021


  Loading...