Feiyang Kang

25 papers A* 6A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Sustainable AI Economy Needs Data Deals That Work for Generators.
CoRR
Ruoxi Jia, Luis Oala, Wenjie Xiong, Suqin Ge, Jiachen T. Wang, Feiyang Kang, Dawn Song
2026 J jnl
RepMSNet: multi-scale convolutional neural network combined with structural re-parameterization for the classification of agricultural pests.
Signal Image Video Process.
Junyan Wang, Haoran Yu, Feiyang Kang
2025 J jnl
AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training.
CoRR
Feiyang Kang, Nadine Chang, Maying Shen, Marc T. Law, Rafid Mahmood, Ruoxi Jia, José M. Álvarez
2025 J jnl
Data Acquisition: A New Frontier in Data-centric AI.
J. Data-centric Mach. Learn. Res.
Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
2025 A* conf
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls.
EMNLP
Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu
2025 J jnl
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls.
CoRR
Feiyang Kang, Newsha Ardalani, Michael Kuchnik, Youssef Emad, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-wen Li, Ramya Raghavendra, Ruoxi Jia, Carole-Jean Wu
2025 J jnl
Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead.
CoRR
Feiyang Kang, Michael Kuchnik, Karthik Padthe, Marin Vlastelica, Ruoxi Jia, Carole-Jean Wu, Newsha Ardalani
2024 J jnl
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs.
CoRR
Feiyang Kang, Yifan Sun, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia
2024 J jnl
Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion.
Trans. Mach. Learn. Res.
Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia
2024 J jnl
FASTTRACK: Fast and Accurate Fact Tracing for LLMs.
CoRR
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024 — conf
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation.
EMNLP (Findings)
Si Chen, Feiyang Kang, Ning Yu, Ruoxi Jia
2024 A* conf
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.
ICLR
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
2024 J jnl
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.
CoRR
Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
2024 A* conf
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
CVPR
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia
2024 J jnl
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
CoRR
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia
2023 J jnl
Data Acquisition: A New Frontier in Data-centric AI.
CoRR
Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
2023 A* conf
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
ICLR
Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 J jnl
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 A* conf
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.
NeurIPS
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
2023 J jnl
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.
CoRR
Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu, Ruoxi Jia
2023 — conf
RepCFT: A Fusion Model of Reparameterized Convolutional Neural Network and Visual Transformer for Wood Species Recognition.
ICAICE
Junyan Wang, Ziyan Lian, Feiyang Kang, Jinkai Chen
2023 A* conf
Towards Robustness Certification Against Universal Perturbations.
ICLR
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
2021 J jnl
Visual Navigation with a 2-pixel Camera - Possibilities and Limitations.
CoRR
John Baillieul, Feiyang Kang
2018 J jnl
Prediction-Based Fast Thermoelectric Generator Reconfiguration for Energy Harvesting from Vehicle Radiators.
CoRR
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang
2018 A conf
Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators.
DATE
Hanchen Yang, Feiyang Kang, Caiwen Ding, Ji Li, Jaemin Kim, Donkyu Baek, Shahin Nazarian, Xue Lin, Paul Bogdan, Naehyuck Chang