DeaPS: Deep Learning-Based User-Level Proactive Security Auditing for Clouds. - Minjie Ou; Liming Wang 001; Hao Xun (GLOBECOM, 2019)

A privacy-preserving and correctness audit method in multi-party data sharing. - Junping Wan; Hao Xun; Xianrong Zhang; Jiyuan Feng; Zhe Sun (CIAT, 2020)

A scalable rule engine system for trigger-action application in large-scale IoT environment. - Xi Luo; Ye Fu; Lihua Yin; Hao Xun; Yixin Li (Comput. Commun., 2021)

Rinegan: A Scalable Image Processing Architecture for Large Scale Surveillance Applications. - Xi Luo; Lei Feng; Hao Xun; Yuanfei Zhang; Yixin Li; Lihua Yin (Frontiers Neurorobotics, 2021)

A Privacy-Preserving Federated Learning for Multiparty Data Sharing in Social IoTs. - Lihua Yin; Jiyuan Feng; Hao Xun; Zhe Sun; Xiaochun Cheng (IEEE Trans. Netw. Sci. Eng., 2021)

FleCom: A Flexible Congestion Control Protocol in Named Data Networking. - Zhuo Li 009; Hao Xun; Yang Miao; Weizhe Zhang; Peng Luo 004; Kaihua Liu (INFOCOM Workshops, 2023)

CoopCon: Cooperative Hybrid Congestion Control Scheme for Named Data Networking. - Zhuo Li 009; Xingdi Shen; Hao Xun; Yang Miao; Weizhe Zhang; Peng Luo 004; Kaihua Liu (IEEE Trans. Netw. Serv. Manag., 2023)

LearningTuple: A packet classification scheme with high classification and high update. - Zhuo Li 009; Nan Zhang; Hao Xun; Jindian Liu; Peng Luo 004; Yu Zhang; Teng Liang; Kaihua Liu; Wang Zhang; Wanli Zhao 005 (Comput. Networks, 2024)

MECProMo: producer mobility management based on MEC in named data networking. - Zhuo Li 009; Da Wu; Yachun Mao; Hao Xun; Yu Zhang; Teng Liang; Peng Luo 004; Kaihua Liu (Int. J. Ad Hoc Ubiquitous Comput., 2024)