DexX: A Double Layer Unpacking Framework for Android. - Caijun Sun; Hua Zhang 001; Su-Juan Qin; Nengqiang He; Jiawei Qin; Hongwei Pan (IEEE Access, 2018)

Secure multi-keyword ranked search over encrypted cloud data for multiple data owners. - Ziqing Guo; Hua Zhang 001; Caijun Sun; Qiaoyan Wen; Wenmin Li 001 (J. Syst. Softw., 2018)

Decentralized, Revocable and Verifiable Attribute-Based Encryption in Hybrid Cloud System. - Ping Yu; Qiaoyan Wen; Wei Ni 001; Wenmin Li 001; Caijun Sun; Hua Zhang 001; Zhengping Jin (Wirel. Pers. Commun., 2019)

DroidPDF: The Obfuscation Resilient Packer Detection Framework for Android Apps. - Caijun Sun; Hua Zhang 001; Su-Juan Qin; Jiawei Qin; Yijie Shi; Qiaoyan Wen (IEEE Access, 2020)

An Adaptive Swarm Intelligence-Based Task Scheduling Framework for Heterogeneous IoT Systems. - Zhiyu Wang; Caijun Sun; Shunbin Li; Congqi Shen; Geyang Xiao (ICNCC, 2021)

Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning. - Guangsheng Yu; Xu Wang 004; Ping Yu; Caijun Sun; Wei Ni 001; Ren Ping Liu (CoRR, 2022)

An Empirical Study on Snapshot DAOs. - Qin Wang 008; Guangsheng Yu; Yilin Sai; Caijun Sun; Lam Duc Nguyen; Sherry Xu; Shiping Chen 001 (CoRR, 2022)

A First Look into Blockchain DAOs. - Qin Wang 008; Guangsheng Yu; Yilin Sai; Caijun Sun; Lam Duc Nguyen; Xiwei Xu 001; Shiping Chen 001 (ICBC, 2023)

IronForge: An Open, Secure, Fair, Decentralized Federated Learning. - Guangsheng Yu; Xu Wang 004; Caijun Sun; Qin Wang 008; Ping Yu; Wei Ni 001; Ren Ping Liu; Xiwei Xu 001 (CoRR, 2023)

Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review. - Baihe Ma; Xu Wang 004; Xiaojie Lin; Yanna Jiang; Caijun Sun; Zhe Wang 064; Guangsheng Yu; Ying He 001; Wei Ni 001; Ren Ping Liu (CoRR, 2023)

A Secure Aggregation for Federated Learning on Long-Tailed Data. - Yanna Jiang; Baihe Ma; Xu Wang 004; Guangsheng Yu; Caijun Sun; Wei Ni 001; Ren Ping Liu (CoRR, 2023)

Split Unlearning. - Guangsheng Yu; Xu Wang 004; Caijun Sun; Qin Wang 008 (CoRR, 2023)

Obfuscating the Dataset: Impacts and Applications. - Guangsheng Yu; Xu Wang 004; Caijun Sun; Ping Yu; Wei Ni 001; Ren Ping Liu (ACM Trans. Intell. Syst. Technol., 2023)

TbDd: A new trust-based, DRL-driven framework for blockchain sharding in IoT. - Zixu Zhang; Guangsheng Yu; Caijun Sun; Xu Wang 004; Ying Wang 096; Ming Zhang; Wei Ni 001; Ren Ping Liu; Andrew Reeves; Nektarios Georgalas (Comput. Networks, 2024)

Maximizing NFT Incentives: References Make You Rich. - Guangsheng Yu; Qin Wang 008; Caijun Sun; Lam Duc Nguyen; H. M. N. Dilum Bandara; Shiping Chen 001 (CoRR, 2024)

Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth. - Ying Zhuansun; Dandan Li; Xiaohong Huang; Caijun Sun (CoRR, 2024)

Preventing harm to the rare in combating the malicious: A filtering-and-voting framework with adaptive aggregation in federated learning. - Yanna Jiang; Baihe Ma; Xu Wang 004; Guangsheng Yu; Caijun Sun; Wei Ni 001; Ren Ping Liu (Neurocomputing, 2024)

IronForge: An Open, Secure, Fair, Decentralized Federated Learning. - Guangsheng Yu; Xu Wang 004; Caijun Sun; Qin Wang 008; Ping Yu; Wei Ni 001; Ren Ping Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)

SoK: Semantic Privacy in Large Language Models. - Baihe Ma; Yanna Jiang; Xu Wang 004; Guangshen Yu; Qin Wang 008; Caijun Sun; Chen Li 040; Xuelei Qi; Ying He 011; Wei Ni 001; Ren Ping Liu (CoRR, 2025)