Yulan Su

According to our database, Yulan Su authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

RobSparse: Automatic Search for GPU-Friendly Robust and Sparse Vision Transformers.

Yulan Su, Sisi Zhang, Yan Wang, Xingbin Wang, Lutan Zhao, Dan Meng, Rui Hou

Proceedings of the MultiMedia Modeling, 2025

Poseidon: A NAS-Based Ensemble Defense Method Against Multiple Perturbations.

Yulan Su, Sisi Zhang, Zechao Lin, Xingbin Wang, Lutan Zhao, Dan Meng, Rui Hou

Proceedings of the MultiMedia Modeling, 2025

Jack of All Trades, Master of None: PMP-Guided Adaptive Multi-Teacher Distillation with Meta-Learning.

Sisi Zhang, Zechao Lin, Xingbin Wang, Yulan Su, Yan Wang, Rui Hou, Dan Meng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LoRATEE: A Secure and Efficient Inference Framework for Multi-Tenant LoRA LLMs Based on TEE.

Zechao Lin, Sisi Zhang, Xingbin Wang, Yulan Su, Yan Wang, Rui Hou, Dan Meng

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ROBIN: A Novel Framework for Accelerating Robust Multi-Variant Training.

Yan Wang, Xingbin Wang, Yulan Su, Sisi Zhang, Zechao Lin, Dan Meng, Rui Hou

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

EnsGuard: A Novel Acceleration Framework for Adversarial Ensemble Learning.

Xingbin Wang, Yan Wang, Yulan Su, Sisi Zhang, Dan Meng, Rui Hou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2024

A Hybrid Sparse-dense Defensive DNN Accelerator Architecture against Adversarial Example Attacks.

Xingbin Wang, Boyan Zhao, Yulan Su, Sisi Zhang, Fengkai Yuan, Jun Zhang, Dan Meng, Rui Hou

ACM Trans. Embed. Comput. Syst., September, 2024

Garrison: A High-Performance GPU-Accelerated Inference System for Adversarial Ensemble Defense.

Yan Wang, Xingbin Wang, Zechao Lin, Yulan Su, Sisi Zhang, Rui Hou, Dan Meng

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2022

Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation.

Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022