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Author

Daning Cheng

Observed names: Cheng Daning, Cheng, Daning, Daning, Cheng
ORCID: 0000-0002-9217-6980
Observed ORCID: 0000-0002-9217-6980
OpenAlex ID: A5010944123
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms
2021 · Daning Cheng, Shigang Li, et al. · IEEE Transactions on Parallel and Distributed Systems · 24
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WP-SGD: Weighted parallel SGD for distributed unbalanced-workload training system
2020 · Daning Cheng, Shigang Li, et al. · Journal of Parallel and Distributed Computing · 8
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PrismServe: Efficient LLM Serving on Heterogeneous Accelerator Clusters
2025 · Zhang, Jinhao, Yan, Zicheng, et al. · arXiv (Cornell University) · 5
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ReMP: Low-Downtime Runtime Model-Parallelism Reconfiguration for LLM Serving
2026 · Yuan, Haipeng, Zheng, Kaining, et al. · arXiv (Cornell University) · 4
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A Qualitative Test-Risk Mechanism for Scaling Behavior in Normalized Residual Networks
2026 · Cheng, Daning, Liu, Zeyu, et al. · arXiv (Cornell University) · 4
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Compression for Better: A General and Stable Lossless Compression Framework
2024 · Zhang, Boyang, Cheng, Daning, et al. · arXiv (Cornell University) · 4
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Can the capability of Large Language Models be described by human ability? A Meta Study
2025 · Zan, Mingrui, Zhang, Yunquan, et al. · arXiv (Cornell University) · 3
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Lossless Model Compression via Joint Low-Rank Factorization Optimization
2024 · Zhang, Boyang, Cheng, Daning, et al. · arXiv (Cornell University) · 3
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FP=xINT:Representing Neural Networks via Low-Bit Series Basis Functions
2024 · Zhang, Boyang, Cheng, Daning, et al. · arXiv (Cornell University) · 3
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FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions
2026 · Boyang Zhang, Daning Cheng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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A General Error-Theoretical Analysis Framework for Constructing Compression Strategies
2025 · Zhang, Boyang, Cheng, Daning, et al. · arXiv (Cornell University) · 2
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Using Gradient Based Multikernel Gaussian Process and Meta-Acquisition Function to Accelerate SMBO
2019 · Daning Cheng, Hanping Zhang, et al. · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 2
Mechanisms of Width Scaling in Normalized Residual Networks: The Effective Alignment Dimension
2026 · Zhang, Jinhao, Liu, Zeyu, et al. · arXiv (Cornell University) · 1
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Rethinking Parameter Sharing as Graph Coloring for Structured Compression
2025 · Zhang, Boyang, Cheng, Daning, et al. · arXiv (Cornell University) · 1
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Mixed-Precision Inference Quantization: Radically Towards Faster inference speed, Lower Storage requirement, and Lower Loss
2022 · Cheng, Daning, Chen, Wenguang · arXiv (Cornell University) · 1
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Asynchronous COMID: The Theoretic Basis for Transmitted Data Sparsification Tricks on Parameter Server
2019 · Cheng Daning, Li Shigang, et al. · Communications in computer and information science · 1
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Asynchronous Parallel Sampling Gradient Boosting Decision Tree.
2018 · Daning Cheng, Fen Xia, et al. · arXiv (Cornell University) · 1
CET: Spectral Geometry for Mixed-Precision Quantization
2026 · Boyang Zhang, Daning Cheng, et al. · ACM International Conference on Multimedia (ACM MM)
A Direction-Aware Framework for Post-Training Compression
2026 · Boyang Zhang, Daning Cheng, et al. · ACM International Conference on Multimedia (ACM MM)
Is Human-Readable Text Necessary for Effective LLM Fine-Tuning?
2026 · Zhang, Jinhao, Liu, Zeyu, et al. · arXiv (Cornell University)
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Data Scaling Laws for Block-Sparse Training
2026 · Zeyu Liu, Zhenfeng Zhang, et al. · Lecture notes in computer science
Quantifying Depth Sufficiency in Residual Neural Networks: A First-Order Criterion
2026 · Liu, Zeyu, Zhang, Jinhao, et al. · arXiv (Cornell University)
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BCD-Megatron: A Cost-Effective Training System for Large Language Models
2026 · Zeyu Liu, Yan Li, et al. · IEEE International Conference on Distributed Computing Systems (ICDCS)
DynaTrain: Fast Online Parallelism Switching for Elastic LLM Training
2026 · Wang, Yuanqing, Zhang, Yuchen, et al. · arXiv (Cornell University)
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Understanding the Improvement in Model Quantization
2026 · Boyang Zhang, Daning Cheng, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Works count: 35
Citation count: 69
H-index: 4
I10-index: 1
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