Yequan Zhao

19 papers A* 1C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Muon+: Towards Better Muon via One Additional Normalization Step.
CoRR
Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Zheng Zhang
2026 J jnl
TEON: Tensorized Orthonormalization Beyond Layer-Wise Muon for Large Language Model Pre-Training.
CoRR
Ruijie Zhang, Yequan Zhao, Ziyue Liu, Zhengyang Wang, Dongyang Li, Yupeng Su, Sijia Liu, Zheng Zhang
2025 J jnl
An Energy-Efficient, High-Frame-Rate, and Reconfigurable EKF-SLAM Processor With Full Acceleration for Autonomous Mobile Robots.
IEEE Trans. Circuits Syst. I Regul. Pap.
Bingqiang Liu, Jipeng Wang, Yequan Zhao, Minjie Bao, Zhendong Fan, Dingcheng Jiang, Zixuan Shen, Yulong Tan, Zaisheng He, Dengke Xu, Ke Wang, Chao Wang, Lining Sun
2025 — conf
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training.
OFC
Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil
2025 J jnl
Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training.
CoRR
Yequan Zhao, Xian Xiao, Antoine Descos, Yuan Yuan, Xinling Yu, Geza Kurczveil, Marco Fiorentino, Zheng Zhang, Raymond G. Beausoleil
2025 J jnl
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach.
ACM Trans. Design Autom. Electr. Syst.
Yequan Zhao, Hai Li, Ian A. Young, Zheng Zhang
2025 A* conf
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
EMNLP
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025 J jnl
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models.
CoRR
Jiajun Zhou, Yifan Yang, Kai Zhen, Ziyue Liu, Yequan Zhao, Ershad Banijamali, Athanasios Mouchtaris, Ngai Wong, Zheng Zhang
2025 J jnl
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks.
CoRR
Yequan Zhao, Xinling Yu, Xian Xiao, Zhixiong Chen, Ziyue Liu, Geza Kurczveil, Raymond G. Beausoleil, Sijia Liu, Zheng Zhang
2025 J jnl
SkipKV: Selective Skipping of KV Generation and Storage for Efficient Inference with Large Reasoning Models.
CoRR
Jiayi Tian, Seyedarmin Azizi, Yequan Zhao, Erfan Baghaei Potraghloo, Sean McPherson, Sharath Nittur Sridhar, Zhengyang Wang, Zheng Zhang, Massoud Pedram, Souvik Kundu
2025 J jnl
Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers.
CoRR
Jinming Lu, Jiayi Tian, Yequan Zhao, Hai Li, Zheng Zhang
2024 C conf
Live Demonstration: A Reconfigurable, Energy-efficient and High-frame-rate EKF-SLAM Accelerator Based SoC Design for Autonomous Mobile Robot Applications.
ISCAS
Dingcheng Jiang, Bingqiang Liu, Jipeng Wang, Ao Hu, Yequan Zhao, Minjie Bao, Zhendong Fan, Zixuan Shen, Ke Wang, Chao Wang
2024 J jnl
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach.
CoRR
Yequan Zhao, Hai Li, Ian Young, Zheng Zhang
2024 J jnl
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training.
CoRR
Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang
2024 J jnl
Separable Operator Networks.
CoRR
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2024 J jnl
Separable Operator Networks.
Trans. Mach. Learn. Res.
Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang
2023 J jnl
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks.
CoRR
Yequan Zhao, Xinling Yu, Zhixiong Chen, Ziyue Liu, Sijia Liu, Zheng Zhang
2023 J jnl
Tensorized Optical Multimodal Fusion Network.
CoRR
Yequan Zhao, Xian Xiao, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang
2008 — conf
A Face Recognition Method Based on Fuzzy Data Fusion.
PACIIA (1)
Fanwei Meng, Yequan Zhao, Feng Yue