| 2025 | ASPDAC | ROBIN: A Novel Framework for Accelerating Robust Multi-Variant Training. | Yan Wang, Xingbin Wang, Yulan Su, Sisi Zhang, Zechao Lin, Dan Meng, Rui Hou |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | 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 |
| 2025 | MMM | Poseidon: A NAS-Based Ensemble Defense Method Against Multiple Perturbations. | Yulan Su, Sisi Zhang, Zechao Lin, Xingbin Wang, Lutan Zhao, Dan Meng, Rui Hou |
| 2025 | MMM | 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 |
| 2024 | DAC | 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 |
| 2022 | IJCNN | Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation. | Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang |