| 2026 | ACL | CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning. | Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen |
| 2026 | EACL | H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. | Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Zachary Yahn, Ling Liu |
| 2025 | ICCV | Adversarial Attention Perturbations for Large Object Detection Transformers. | Zachary Yahn, Selim Furkan Tekin, Fatih Ilhan, Sihao Hu, Tiansheng Huang, Yichang Xu, Margaret Loper, Ling Liu |
| 2025 | ICLR | Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. | Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu |
| 2025 | ICLR | Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. | Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li |
| 2025 | ICML | Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack. | Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Joshua Kimball, Ling Liu |
| 2024 | CVPR | Resource- Efficient Transformer Pruning for Finetuning of Large Models. | Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu |
| 2024 | ECCV | Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. | Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu |
| 2024 | EMNLP | LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. | Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu |
| 2024 | WWW | ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. | Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu |
| 2024 | WACV | Adaptive Deep Neural Network Inference Optimization with EENet. | Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu |
| 2023 | ICLR | FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. | Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao |
| 2023 | WWW | Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. | Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Ling Liu |
| 2021 | SECON | Asynchronous Online Service Placement and Task Offloading for Mobile Edge Computing. | Xin Li, Xinglin Zhang, Tiansheng Huang |
| 2020 | ICPADS | Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. | Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma |