Shiji Zhao

According to our database, Shiji Zhao authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

Continual learning in the presence of repetition.

Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan, Zixuan Zhao, Fangfang Xia, Marc Masana, Benedikt Tscheschner, Eduardo E. Veas, Yuxiang Zheng, Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang, Vincenzo Lomonaco, Gido M. van de Ven

Neural Networks, 2025

2024

Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation.

Shiji Zhao, Xizhe Wang, Xingxing Wei

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Revisiting the Trade-Off Between Accuracy and Robustness via Weight Distribution of Filters.

Xingxing Wei, Shiji Zhao, Bo Li

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Boosting Adversarial Transferability With Learnable Patch-Wise Masks.

Xingxing Wei, Shiji Zhao

IEEE Trans. Multim., 2024

Dissipativity-based consensus for P-one-sided Lipschitz multi-agent systems via ILC.

Panpan Gu, Shiji Zhao, Liping Chen, Yong Lin, Jiajia Wang, Senping Tian

IMA J. Math. Control. Inf., 2024

OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations.

Caixin Kang, Yubo Chen, Shouwei Ruan, Shiji Zhao, Ruochen Zhang, Jiayi Wang, Shan Fu, Xingxing Wei

CoRR, 2024

Defending Adversarial Patches via Joint Region Localizing and Inpainting.

Yafu Zhang, Shiji Zhao, Xingxing Wei, Sha Wei

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes.

Shiji Zhao, Shao-Yuan Li, Sheng-Jun Huang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

AmberTools.

David A. Case, Hasan Metin Aktulga, Kellon Belfon, David S. Cerutti, G. Andrés Cisneros, Vinícius Wilian D. Cruzeiro, Negin Forouzesh, Timothy J. Giese, Andreas W. Götz, Holger Gohlke, Saeed Izadi, Koushik Kasavajhala, Mehmet Cagri Kaymak, Edward King, Tom Kurtzman, Tai-Sung Lee, Pengfei Li, Jian Liu, Tyler Luchko, Ray Luo, Madushanka Manathunga, Matías R. Machado, Hai Minh Nguyen, Kurt A. O'Hearn, Alexey V. Onufriev, Feng Pan, Sergio Pantano, Ruxi Qi, Ali Rahnamoun, Ali Risheh, Stephan Schott-Verdugo, Akhil Shajan, Jason M. Swails, Junmei Wang, Haixin Wei, Xiongwu Wu, Yongxian Wu, Shi Zhang, Shiji Zhao, Qiang Zhu, Thomas E. Cheatham, Daniel R. Roe, Adrian E. Roitberg, Carlos Simmerling, Darrin M. York, Maria C. Nagan, Kenneth M. Merz Jr.

J. Chem. Inf. Model., October, 2023

Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training.

Zhaohui Liu, Shiji Zhao, Xiao Wang

Sensors, March, 2023

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation.

Shiji Zhao, Xizhe Wang, Xingxing Wei

CoRR, 2023

Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation.

Shiji Zhao, Xizhe Wang, Xingxing Wei

CoRR, 2023

Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters.

Xingxing Wei, Shiji Zhao

CoRR, 2023

MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset.

Bangzheng Pu, Xingxing Wei, Shiji Zhao, Huazhu Fu

CoRR, 2023

2022

Computational Studies of Pantetheine-Containing Ligands (PCLs) and Advancements of the Polarizable Gaussian Multipole (pGM) Model

Shiji Zhao

PhD thesis, 2022

Vehicle and pedestrian detection method based on improved YOLOX in foggy environment.

Lifei Lin, Zhaohui Liu, Shiji Zhao, Jinzhao Zhang

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022

Enhanced Accuracy and Robustness via Multi-teacher Adversarial Distillation.

Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Development of a Pantetheine Force Field Library for Molecular Modeling.

Shiji Zhao, Andrew J. Schaub, Shiou-Chuan Tsai, Ray Luo

J. Chem. Inf. Model., 2021