About Me
Gen Li is a third-year Ph.D. student at Clemson University, under the supervision of Prof. Xiaolong Ma and co-advised by Prof. Linlke Guo. His primary research focuses on efficient Machine Learning, algorithm-hardware co-design for mobile devices, and fairness and robustness in broad AI applications.
06/2025 — Two papers accepted at ICCV 2025.
09/2024 — Paper accepted at NeurIPS 2024.
09/2024 — Paper accepted at S&P 2025.
07/2024 — Paper accepted at ECCV 2024.
05/2024 — Two papers accepted at ICML 2024.
01/2024 — Paper accepted at ICLR 2024.
09/2023 — Paper accepted at NeurIPS 2023.
02/2023 — “Spotlight” paper at ICLR SNN Workshop.
02/2023 — “Highlight” paper (top 2.5%) at CVPR 2023.
Selected Publications
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
Gen Li, Yang Xiao, Jie Ji, Kaiyuan Deng, Bo Hui, Linke Guo, Xiaolong Ma
ICCV '25 · Acceptance rate: 24% · Paper Link
Adversarial Robust ViT-based Automatic Modulation Recognition in Practical Deep Learning-based Wireless Systems
Gen Li, Chun-Chih Lin, Xiaonan Zhang, Xiaolong Ma, Linke Guo
S&P '25 · Acceptance rate: 14.3% · Paper Link
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
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
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
Outlier weighed layerwise sparsity (owl): A missing secret sauce for pruning llms to high sparsity
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu
ICML '24 · Acceptance rate: 27.5% · 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
Dynamic Sparsity Is Channel-Level Sparsity Learner
Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu
NeurIPS '23 · Acceptance rate: 26.1% · 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