Fang Yu

11 papers A* 1A 1B 2Misc 2Journal 3Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Rec-AUNet: Attentive UNet for Reconstruction of ECG from BCG. BIBM Peng Wang, Chuanqi Han, Fang Yu, Ye Zheng, Xi Huang, Li Cui
2022	A*	`conf`	Width & Depth Pruning for Vision Transformers. AAAI Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui
2021	J	`jnl`	EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing. IEEE Internet Things J. Fang Yu, Li Cui, Pengcheng Wang, Chuanqi Han, Ruoran Huang, Xi Huang
2021	Misc	`conf`	Gate Trimming: One-Shot Channel Pruning for Efficient Convolutional Neural Networks. ICASSP Fang Yu, Chuanqi Han, Pengcheng Wang, Xi Huang, Li Cui
2021	Misc	`conf`	Length No Longer Matters: A Real Length Adaptive Arrhythmia Classification Model with Multi-Scale Convolution. ICASSP Chuanqi Han, Fang Yu, Peng Wang, Ruoran Huang, Xi Huang, Li Cui
2020	—	`conf`	Calibration-free Blood Pressure Assessment Using An Integrated Deep Learning Method. BIBM Chuanqi Han, Mengyin Gu, Fang Yu, Ruoran Huang, Xi Huang, Li Cui
2020	B	`conf`	EasiECG: A Novel Inter-Patient Arrhythmia Classification Method using ECG Waves. ICPR Chuanqi Han, Ruoran Huang, Fang Yu, Xi Huang, Li Cui
2020	B	`conf`	HFP: Hardware-Aware Filter Pruning for Deep Convolutional Neural Networks Acceleration. ICPR Fang Yu, Chuanqi Han, Pengcheng Wang, Ruoran Huang, Xi Huang, Li Cui
2020	J	`jnl`	TNAM: A tag-aware neural attention model for Top-N recommendation. Neurocomputing Ruoran Huang, Nian Wang, Chuanqi Han, Fang Yu, Li Cui
2020	A	`conf`	Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks. ECAI Fang Yu, Li Cui
2015	J	`jnl`	A method for estimating and removing streaking artifacts in quantitative susceptibility mapping. NeuroImage Wei Li, Nian Wang, Fang Yu, Hui Han, Wei Cao, Rebecca Romero, Bundhit Tantiwongkosi, Timothy Q. Duong, Chunlei Liu