R-CNN Object Detection Inference With Deep Learning Accelerator. - Yuxin Qian; Hongli Zheng; Dazhi He; Zhexi Zhang; Zongpu Zhang (ICCC Workshops, 2018)

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. - Zongpu Zhang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2018)

Object Guided External Memory Network for Video Object Detection. - Hanming Deng; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ICCV, 2019)

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. - Xufeng He; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2019)

Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. - Zongpu Zhang; Tao Song 003; Liwei Lin; Yang Hua 001; Xufeng He; Zhengui Xue; Ruhui Ma; Haibing Guan (IEEE Trans. Big Data, 2022)

QKPT: Securing Your Private Keys in Cloud With Performance, Scalability and Transparency. - Zongpu Zhang; Hubin Zhang; Junyuan Wang; Xiaokang Hu; Jian Li 021; Wenqian Yu; Ping Yu; Weigang Li 002; Bo Cui; Guodong Zhu; Kapil Sood; Brian Will; et al. (IEEE Trans. Dependable Secur. Comput., 2023)

HD-IOV: SW-HW Co-designed I/O Virtualization with Scalability and Flexibility for Hyper-Density Cloud. - Zongpu Zhang; Jiangtao Chen; Banghao Ying; Yahui Cao; Lingyu Liu; Jian Li 021; Xin Zeng; Junyuan Wang; Weigang Li 002; Haibing Guan (EuroSys, 2024)

vCrypto: a Unified Para-Virtualization Framework for Heterogeneous Cryptographic Resources. - Shuo Shi; Chao Zhang; Zongpu Zhang; Hubin Zhang; Xin Zeng; Weigang Li 002; Junyuan Wang; Xiantao Zhang; Yibin Shen; Jian Li 021; Haibing Guan (INFOCOM, 2024)

FlowLever: Leverage Flow Director for Packet Dispatch Acceleration in NFV. - Liang Fu; Hubin Zhang; Zongpu Zhang; Jian Li 021; Haibing Guan (IEEE Access, 2024)

Un-IOV: Achieving Bare-Metal Level I/O Virtualization Performance for Cloud Usage With Migratability, Scalability and Transparency. - Zongpu Zhang; Chenbo Xia; Cunming Liang; Jian Li 021; Chen Yu 003; Tiwei Bie; Roberts Martin; Dan Daly; Xiao Wang; Yong Liu; Haibing Guan (IEEE Trans. Computers, 2024)

SMore: Enhancing GPU Utilization in Deep Learning Clusters by Serverless-Based Co-Location Scheduling. - Junhan Liu; Zinuo Cai; Yumou Liu; Hao Li; Zongpu Zhang; Ruhui Ma; Rajkumar Buyya (IEEE Trans. Parallel Distributed Syst., 2025)

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency. - Zongpu Zhang; Pranab Dash; Y. Charlie Hu; Qiang Xu 006; Jian Li 021; Haibing Guan (CoRR, 2025)