About Me
Gen Li is a third-year Ph.D. student at Clemson University, under the supervision of Prof. Xiaolong Ma and Prof. Linlke Guo. His research focuses on developing efficient and trustworthy machine learning through algorithms and systems that make large-scale models more computationally scalable, resilient to real-world challenges, and aligned with ethical principles.
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