Prediction-based fast thermoelectric generator reconfiguration for energy harvesting from vehicle radiators. - Hanchen Yang; Feiyang Kang; Caiwen Ding; Ji Li 006; Jaemin Kim; Donkyu Baek; Shahin Nazarian; Xue Lin 001; Paul Bogdan; Naehyuck Chang (DATE, 2018)

Visual Navigation with a 2-pixel Camera - Possibilities and Limitations. - John Baillieul; Feiyang Kang (CoRR, 2021)

RepCFT: A Fusion Model of Reparameterized Convolutional Neural Network and Visual Transformer for Wood Species Recognition. - Junyan Wang; Ziyan Lian; Feiyang Kang; Jinkai Chen (ICAICE, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Tianhao Wang 013; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2023)

Towards Robustness Certification Against Universal Perturbations. - Yi Zeng 005; Zhouxing Shi; Ming Jin 002; Feiyang Kang; Lingjuan Lyu; Cho-Jui Hsieh; Ruoxi Jia 001 (ICLR, 2023)

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources. - Feiyang Kang; Hoang Anh Just; Anit Kumar Sahu; Ruoxi Jia 001 (NeurIPS, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Jiachen T. Wang; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2023)

Data Acquisition: A New Frontier in Data-centric AI. - Lingjiao Chen; Bilge Acun; Newsha Ardalani; Yifan Sun 010; Feiyang Kang; Hanrui Lyu; Yongchan Kwon; Ruoxi Jia 001; Carole-Jean Wu; Matei Zaharia; James Zou 001 (CoRR, 2023)

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. - Myeongseob Ko; Feiyang Kang; Weiyan Shi; Ming Jin 002; Zhou Yu; Ruoxi Jia 001 (CVPR, 2024)

FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (EMNLP (Findings), 2024)

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs. - Feiyang Kang; Hoang Anh Just; Yifan Sun 010; Himanshu Jahagirdar; Yuanzhi Zhang; Rongxing Du; Anit Kumar Sahu; Ruoxi Jia 001 (ICLR, 2024)

FASTTRACK: Fast and Accurate Fact Tracing for LLMs. - Si Chen 008; Feiyang Kang; Ning Yu; Ruoxi Jia 001 (CoRR, 2024)

AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs. - Feiyang Kang; Yifan Sun 010; Bingbing Wen; Si Chen 008; Dawn Song; Rafid Mahmood; Ruoxi Jia 001 (CoRR, 2024)

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion. - Si Chen 008; Feiyang Kang; Nikhil Abhyankar; Ming Jin 002; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2024)

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training. - Feiyang Kang; Nadine Chang; Maying Shen; Marc T. Law; Rafid Mahmood; Ruoxi Jia 001; José M. Álvarez 004 (CoRR, 2025)