Gen Li

According to our database, Gen Li authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models.

Yang Xiao, Gen Li, Jie Ji, Ruimeng Ye, Xiaolong Ma, Bo Hui

CoRR, July, 2025

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

CoRR, April, 2025

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing.

Yang Xiao, Wang Lu, Jie Ji, Ruimeng Ye, Gen Li, Xiaolong Ma, Bo Hui

CoRR, March, 2025

Adversarial Robust ViT-Based Automatic Modulation Recognition in Practical Deep Learning-Based Wireless Systems.

Gen Li, ChunChih Lin, Xiaonan Zhang, Xiaolong Ma, Linke Guo

Proceedings of the IEEE Symposium on Security and Privacy, 2025

2024

Condense, Don't Just Prune: Enhancing Efficiency and Performance in MoE Layer Pruning.

Mingyu Cao, Gen Li, Jie Ji, Jiaqi Zhang, Xiaolong Ma, Shiwei Liu, Lu Yin

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities.

Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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 Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective.

Yucong Dai, Gen Li, Feng Luo, Xiaolong Ma, Yongkai Wu

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023