| 2025 | CIKM | EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning. | Md. Tasnim Jawad, Yanzhao Wu |
| 2025 | ICMLA | Jailbreaking Large Vision Language Models in Intelligent Transportation Systems. | Badhan Chandra Das, Md. Tasnim Jawad, Md. Jueal Mia, M. Hadi Amini, Yanzhao Wu |
| 2025 | IJCNLP | CLL-RetICL: Contrastive Linguistic Label Retrieval-based In-Context Learning for Text Classification via Large Language Models. | Chaohao Lin, Kaida Wu, Peihao Xiang, Yanzhao Wu, Ou Bai |
| 2025 | INFOCOM | NeRF-APT: A New NeRF Framework for Wireless Channel Prediction. | Jingzhou Shen, Tianya Zhao, Yanzhao Wu, Xuyu Wang |
| 2025 | ICWS | CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. | Hongpeng Jin, Yanzhao Wu |
| 2025 | SYSTOR | LATTICE: Efficient In-Memory DNN Model Versioning. | Manoj Pravakar Saha, Ashikee Ghosh, Raju Rangaswami, Yanzhao Wu, Janki Bhimani |
| 2024 | CVPR | On the Efficiency of Privacy Attacks in Federated Learning. | Nawrin Tabassum, Ka-Ho Chow, Xuyu Wang, Wenbin Zhang, Yanzhao Wu |
| 2024 | ICDM | Accessible Health Screening Using Body Fat Estimation by Image Segmentation. | Zhipeng Yin, Sameeksha Agarwal, Ayesha Kashif, Matthew Gonzalez, Zichong Wang, Suqing Liu, Zhen Liu, Yanzhao Wu, Ian Stockwell, Weifeng Xu, Puqing Jiang, Xingyu Zhang, Wenbin Zhang |
| 2024 | INFOCOM | Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting. | Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang, Xuyu Wang |
| 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 | CVPR | STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. | Ka-Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu |
| 2023 | ICDM | Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. | Yanzhao Wu, Ka-Ho Chow, Wenqi Wei, Ling Liu |
| 2023 | ICDM | Model Cloaking against Gradient Leakage. | Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu |
| 2021 | CVPR | Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. | Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka-Ho Chow, Wenqi Wei |
| 2021 | ICDCS | Gradient-Leakage Resilient Federated Learning. | Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar |
| 2021 | ICDM | Boosting Deep Ensemble Performance with Hierarchical Pruning. | Yanzhao Wu, Ling Liu |
| 2020 | ESORICS | Understanding Object Detection Through an Adversarial Lens. | Ka-Ho Chow, Ling Liu, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu |
| 2020 | ESORICS | A Framework for Evaluating Client Privacy Leakages in Federated Learning. | Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu |
| 2019 | ICDCS | Memory Disaggregation: Research Problems and Opportunities. | Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu |
| 2019 | MASS | Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness. | Ling Liu, Wenqi Wei, Ka-Ho Chow, Margaret Loper, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu |
| 2018 | ICDCS | Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond. | Ling Liu, Yanzhao Wu, Wenqi Wei, Wenqi Cao, Semih Sahin, Qi Zhang |
| 2018 | ICSE | CCAligner: a token based large-gap clone detector. | Pengcheng Wang, Jeffrey Svajlenko, Yanzhao Wu, Yun Xu, Chanchal K. Roy |
| 2008 | IGARSS | The High Resolution Radar Image Simulation of Target on Rough Surface. | Xiaoyang Wen, Chao Wang, Yanzhao Wu, Hong Zhang |