| 2025 | KSEM | Verifiable Fine-Grained Federated Unlearning. | Yong Wang, Guangyu Peng, Xueli Nie, Bruce Gu |
| 2024 | GLOBECOM | From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach. | Nannan Zhang, Yao Zhao, Y. Neil Qu, Bruce Gu, Keshav Sood, Longxiang Gao, Shui Yu |
| 2024 | ICA3PP | Federated Learning and Parallel Prompt Scheduling Strategies for Large Language Models. | Guangtong Lv, Bruce Gu, Xiaocong Jia, Longxiang Gao, Youyang Qu, Lei Cui |
| 2024 | ICARCV | Counterfactual Reasoning and Cognitive Intelligence for Rational Robots. | Xuehong Tao, YuXin Miao, Yuan Miao, Guanhua Wang, Neda Azizi, Bruce Gu, Gongqi Lin, Lizhen Cui, Yonghui Xu, Wei Guo |
| 2023 | VR | Multi-person tracking for virtual reality surrounding awareness. | Ayman Mukhaimar, Yuan Miao, Zora Vrcelj, Bruce Gu |
| 2022 | NSS | Efficient and Fine-Grained Sharing of Signed Healthcare Data in Smart Healthcare. | Jianghua Liu, Lei Xu, Bruce Gu, Lei Cui, Fei Zhu |
| 2021 | VTC | Digital Twin Based Remote Resource Sharing in Internet of Vehicles using Consortium Blockchain. | Chenchen Tan, Xinghao Li, Tom H. Luan, Bruce Gu, Youyang Qu, Longxiang Gao |
| 2020 | NSS | A Privacy Preserving Aggregation Scheme for Fog-Based Recommender System. | Xiaodong Wang, Bruce Gu, Youyang Qu, Yongli Ren, Yong Xiang, Longxiang Gao |