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