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Author

Zhengmian Hu

Observed name: Hu, Zhengmian
Observed institutions: Northeastern University, Adobe Systems (United States), University of Pittsburgh, Duke University, University of Minnesota, Duluth, University of Maryland, College Park
ORCID: 0000-0003-0316-146X
Observed ORCID: 0000-0003-0316-146X
OpenAlex ID: A5026601713
Faster Adaptive Federated Learning
2023 · Xidong Wu, Feihu Huang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 96
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GUI Agents: A Survey
2025 · Dang Nguyen, Jian Chen, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 25
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A Survey on Small Language Models
2025 · Chien Van Nguyen, Xuan Shen, et al. · International conference Recent advances in natural language processing · 25
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From Selection to Generation: A Survey of LLM-based Active Learning
2025 · Yu Xia, Subhojyoti Mukherjee, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 13
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Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
2023 · Xidong Wu, Zhengmian Hu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 13
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Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
2021 · Huimin Wu, Zhengmian Hu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 10
Unbiased Watermark for Large Language Models
2023 · Hu, Zhengmian, Chen, Lichang, et al. · arXiv (Cornell University) · 9
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Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction
2025 · Yanshuo Chen, Zhengmian Hu, et al. · Bioinformatics · 8
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A Survey of Small Language Models
2024 · Van Nguyen, Chien, Shen, Xuan, et al. · arXiv (Cornell University) · 6
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Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information
2023 · Hu, Zhengmian, Wu, Gang, et al. · arXiv (Cornell University) · 6
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Enhancing privacy in biosecurity with watermarked protein design
2025 · Yanshuo Chen, Zhengmian Hu, et al. · Bioinformatics · 4
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Enhancing Biosecurity with Watermarked Protein Design
2024 · Yanshuo Chen, Zhengmian Hu, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 4
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset
2023 · Chen, Ruibo, Xiong, Tianyi, et al. · arXiv (Cornell University) · 4
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A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
2023 · Wu, Yihan, Hu, Zhengmian, et al. · arXiv (Cornell University) · 4
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Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
2023 · Xidong Wu, Zhengmian Hu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
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A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution
2024 · Zhengmian Hu, Tong Zheng, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
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Combinatorial geometry domain decomposition strategies for Monte Carlo simulations
2013 · G. Li, B. Zhang, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 3
Cautious Next Token Prediction
2025 · Yizhou Wang, Lingzhi Zhang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2
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Personalized Multimodal Large Language Models: A Survey
2024 · Wu, Junda, Lyu, Hanjia, et al. · arXiv (Cornell University) · 1
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Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions
2024 · Wu, Yihan, Chen, Ruibo, et al. · arXiv (Cornell University) · 1
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Inferring Single-Cell RNA Kinetics from Various Biological Priors
2024 · Yanshuo Chen, Zhengmian Hu, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 1
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models
2024 · Zhengmian Hu, Heng Huang · neural information processing systems · 1
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Optimal Underdamped Langevin MCMC Method
2021 · Zhengmian Hu, Feihu Huang, et al. · neural information processing systems · 1
TTMark: Pairwise Distortion-Free Watermarking Beyond Single-Token Entropy
2026 · Chen, Ruibo, Hu, Zhengmian, et al. · arXiv (Cornell University)
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Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
2026 · Zhengmian Hu, Lei Shi, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Works count: 33
Citation count: 244
H-index: 8
I10-index: 6
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