pith. sign in

Zhengmian Hu

Identifiers

  • name variant Zhengmian Hu 0.60 · backfill

Papers (22)

  1. A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations cs.CL · 2025 · author #15
  2. Exploring Rewriting Approaches for Different Conversational Tasks cs.CL · 2025 · author #8
  3. Towards Optimal Multi-draft Speculative Decoding cs.CL · 2025 · author #1
  4. From Selection to Generation: A Survey of LLM-based Active Learning cs.LG · 2025 · author #20
  5. Personalized Multimodal Large Language Models: A Survey cs.CV · 2024 · author #22
  6. Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction cs.LG · 2024 · author #2
  7. A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution cs.CL · 2024 · author #1
  8. Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models cs.CR · 2024 · author #1
  9. A Survey of Small Language Models cs.CL · 2024 · author #6
  10. Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions cs.CR · 2024 · author #3
  11. Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information cs.CL · 2023 · author #1
  12. GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset eess.IV · 2023 · author #5
  13. A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models cs.CR · 2023 · author #2
  14. Solving a Class of Non-Convex Minimax Optimization in Federated Learning cs.LG · 2023 · author #3
  15. Federated Conditional Stochastic Optimization cs.LG · 2023 · author #3
  16. Unbiased Watermark for Large Language Models cs.CR · 2023 · author #1
  17. Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining cs.LG · 2023 · author #2
  18. Decentralized Riemannian Algorithm for Nonconvex Minimax Problems cs.LG · 2023 · author #2
  19. Faster Adaptive Federated Learning cs.LG · 2022 · author #3
  20. Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients cs.LG · 2021 · author #2
  21. AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization math.OC · 2021 · author #3
  22. A New Framework for Variance-Reduced Hamiltonian Monte Carlo cs.LG · 2021 · author #1

Mentions

  • 2502.11767 #20 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2505.14106 #15 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2411.00614 #2 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2502.18860 #8 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2502.18779 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2412.02142 #22 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2410.21716 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2410.20418 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2410.20011 #6 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2310.07710 #2 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2406.02603 #3 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2311.11509 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2310.18498 #5 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2310.10669 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2310.03613 #3 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2310.02524 #3 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2308.03035 #2 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2212.00974 #3 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2106.16101 #3 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2302.03825 #2 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2107.09937 #2 · arxiv_oai · confidence 0.70 Zhengmian Hu
  • 2102.04613 #1 · arxiv_oai · confidence 0.70 Zhengmian Hu

Frequent Coauthors