Fengpeng Li

According to our database, Fengpeng Li authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

LithoBench: Benchmarking Large Multimodal Models for Remote-Sensing Lithology Interpretation.

Jun Wang, Fengpeng Li, Hang Dong, Tianjin Huang, Wei Han

CoRR, May, 2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild.

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya, Artem Filippov, Georgii Bychkov, Sergey Lavrushkin, Mikhail Erofeev, Anastasia Antsiferova, Changsheng Chen, Shunquan Tan, Radu Timofte, Dmitriy S. Vatolin, Chuanbiao Song, Zijian Yu, Hao Tan, Jun Lan, Zhiqiang Yang, Yongwei Tang, Zhiqiang Wu, Jia Wen Seow, Hong Vin Koay, Haodong Ren, Feng Xu, Shuai Chen, Ruiyang Xia, Qi Zhang, Yaowen Xu, Zhaofan Zou, Hao Sun, Dagong Lu, Mufeng Yao, Xinlei Xu, Fei Wu, Fengjun Guo, Cong Luo, Hardik Sharma, Aashish Negi, Prateek Shaily, Jayant Kumar, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Zhilin Tu, Fengpeng Li, Jiamin Zhang, Jianwei Fei, Kemou Li, Haiwei Wu, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Chenfan Qu, Junchi Li

CoRR, April, 2026

FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection.

Zhilin Tu, Kemou Li, Fengpeng Li, Jianwei Fei, Jiamin Zhang, Haiwei Wu

CoRR, March, 2026

AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models.

Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jiantao Zhou

CoRR, February, 2026

Gradient Structure Estimation under Label-Only Oracles via Spectral Sensitivity.

Jun Liu, Leo Yu Zhang, Fengpeng Li, Isao Echizen, Jiantao Zhou

CoRR, January, 2026

2025

LLM Unlearning with LLM Beliefs.

Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li, Jun Liu, Bo Han, Jiantao Zhou

CoRR, October, 2025

RML++: Regroup Median Loss for Combating Label Noise.

Fengpeng Li, Kemou Li, Qizhou Wang, Bo Han, Jinyu Tian, Jiantao Zhou

Int. J. Comput. Vis., September, 2025

Toward Robust Learning via Core Feature-Aware Adversarial Training.

Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou

IEEE Trans. Inf. Forensics Secur., 2025

2024

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain.

Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Regroup Median Loss for Combating Label Noise.

Fengpeng Li, Kemou Li, Jinyu Tian, Jiantao Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Multilevel Spatial-Channel Feature Fusion Network for Urban Village Classification by Fusing Satellite and Streetview Images.

Runyu Fan, Jun Li, Fengpeng Li, Wei Han, Lizhe Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Fine-Scale Urban Informal Settlements Mapping by Fusing Remote Sensing Images and Building Data via a Transformer-Based Multimodal Fusion Network.

Runyu Fan, Fengpeng Li, Wei Han, Jining Yan, Jun Li, Lizhe Wang

IEEE Trans. Geosci. Remote. Sens., 2022

2021

Improving Training Instance Quality in Aerial Image Object Detection With a Sampling-Balance-Based Multistage Network.

Wei Han, Runyu Fan, Lizhe Wang, Ruyi Feng, Fengpeng Li, Ze Deng, Xiaodao Chen

IEEE Trans. Geosci. Remote. Sens., 2021

2020

High-Resolution Remote Sensing Image Scene Classification via Key Filter Bank Based on Convolutional Neural Network.

Fengpeng Li, Ruyi Feng, Wei Han, Lizhe Wang

IEEE Trans. Geosci. Remote. Sens., 2020

An Augmentation Attention Mechanism for High-Spatial-Resolution Remote Sensing Image Scene Classification.

Fengpeng Li, Ruyi Feng, Wei Han, Lizhe Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Research on torque fluctuation suppression method of linear motor based on magnetic field orientation control.

Wei Liu, Fengpeng Li, Cheng Jing, Yidong Wan, Xingxing Wang, M. Helali

Trans. Emerg. Telecommun. Technol., 2020

A Multi-stage Network for Improving the Sample Quality in Aerial Image Object Detection.

Wei Han, Ruyi Feng, Lizhe Wang, Fengpeng Li, Lin Wu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Semi-Supervised Hyperspectral Unmixing with Very Deep Convolutional Neural Networks.

Jiayu Bai, Ruyi Feng, Lizhe Wang, Hao Li, Fengpeng Li, Yanfei Zhong, Liangpei Zhang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Design of Chassis Structure and Control System for Indoor Intelligent Vehicle.

Wei Liu, Fengpeng Li, Yidong Wan, Cheng Jing

Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019