Author

Feiyang Kang

Observed name: Kang, Feiyang

Institutions: University of Science and Technology of China, Virginia Tech

Observed institutions: Boston University, University of Science and Technology of China, Zhejiang University, Virginia Tech

ORCID: 0009-0001-8390-6662

Observed ORCID: 0009-0001-8390-6662

OpenAlex ID: A5085966366

LAVA: Data Valuation without Pre-Specified Learning Algorithms

2023 · Just, Hoang Anh, Kang, Feiyang, et al. · arXiv (Cornell University) · 9

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Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators

2018 · Hanchen Yang, Feiyang Kang, et al. · Design, Automation, and Test in Europe · 4

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Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs

2024 · Kang, Feiyang, Just, Hoang Anh, et al. · arXiv (Cornell University) · 3

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Data Acquisition: A New Frontier in Data-centric AI

2023 · Chen, Lingjiao, Acun, Bilge, et al. · arXiv (Cornell University) · 3

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Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources

2023 · Feiyang Kang, Hoang Anh Just, et al. · neural information processing systems · 2

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Visual Navigation with a 2-pixel Camera---Possibilities and Limitations

2021 · Baillieul, John, Kang, Feiyang · OpenBU (Boston University) · 1

CaliMem: Search-Efficient Data Agent via Calibrated Memory

2026 · Li, Hanze, Li, Athan Z., et al. · arXiv (Cornell University)

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Hybrid Latent Attention for Looped Language Models

2026 · Chen, Yuhan, Zhang, Siyuan, et al. · arXiv (Cornell University)

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Belief-Calibrated Optimization: An Explicit World Model for Agentic Optimization

2026 · Chen, Yuhan, Tian, Zhihua, et al. · arXiv (Cornell University)

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RepMSNet: multi-scale convolutional neural network combined with structural re-parameterization for the classification of agricultural pests

2026 · Junyan Wang, Haoran Yu, et al. · Signal Image and Video Processing

A Sustainable AI Economy Needs Data Deals That Work for Generators

2026 · Jia, Ruoxi, Oala, Luis, et al. · arXiv (Cornell University)

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Can Generalist Agents Automate Data Curation?

2026 · Feiyang Kang, Hanze Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead

2025 · Kang, Feiyang, Kuchnik, Michael, et al. · arXiv (Cornell University)

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Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls

2025 · Kang, Feiyang, Ardalani, Newsha, et al. · arXiv (Cornell University)

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Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls

2025 · Feiyang Kang, Newsha Ardalani, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

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AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs

2024 · Kang, Feiyang, Sun, Yifan, et al. · arXiv (Cornell University)

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RepCFT: A Fusion Model of Reparameterized Convolutional Neural Network and Visual Transformer for Wood Species Recognition

2023 · Junyan Wang, Ziyan Lian, et al. · International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

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Works count: 17

Citation count: 22

H-index: 3

I10-index: