About Me
Jie Ji is a second-year Ph.D. student at Clemson University, under the supervision of Prof. Xiaolong Ma. Her primary research focuses on deep learning, sparse neural networks, and efficient on-device model optimization.
🔥 News
09/2024, One paper is accepted in NeurIPS 2024.
07/2024, One paper is accepted in ECCV 2024.
05/2024, One papers is accepted in ICML 2024.
01/2024, One paper is accepted in ICLR 2024.
02/2023, One paper is accepted as highlight paper (top 2.5%) in CVPR 2023.
Selected Publications
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
Jie Ji, Gen Li, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma
NeurIPS '24 · Acceptance rate: 25.8% · Paper Link
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma
ICML '24 · Acceptance rate: 27.5% · Paper Link
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
Gen Li*, Jie Ji*, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
CVPR '23 · Highlight paper: top 2.5% · Paper Link
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma
ECCV '24 · Acceptance rate: 27.9% · Paper Link
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
ICLR '24 · Acceptance rate: 31% · Paper Link