Assessing the Value of Information Sharing in a Promotional Retail Environment. - Ananth V. Iyer; Jianming Ye (Manuf. Serv. Oper. Manag., 2000)

A network based model of a promotion-sensitive grocery logistics system. - Ananth V. Iyer; Jianming Ye (Networks, 2001)

A Model-Based Approach to Designing QoS Adaptive Applications. - Jianming Ye; Joseph P. Loyall; Richard Shapiro; Richard E. Schantz; Sandeep Neema; Sherif Abdelwahed; Nagabhushan Mahadevan; Michael A. Koets; Denise Varner (RTSS, 2004)

End-to-End Quality of Service Management for Distributed Real-Time Embedded Applications. - Prakash Manghwani; Joseph P. Loyall; Praveen Kaushik Sharma; Matthew Gillen; Jianming Ye (IPDPS, 2005)

Detection and Reaction to Unplanned Operational Events in Large Scale Distributed Real-Time Embedded Systems. - Jianming Ye; Joseph P. Loyall; Richard E. Schantz; Gary Duzan (IPDPS, 2005)

Managing End-to-End QoS in Distributed Embedded Applications. - Praveen Kaushik Sharma; Joseph P. Loyall; Richard E. Schantz; Jianming Ye; Prakash Manghwani; Matthew Gillen; George T. Heineman (IEEE Internet Comput., 2006)

Scalable, Distributed, Dynamic Resource Management for the ARMS Distributed Real-Time Embedded System. - Kurt Rohloff; Yarom Gabay; Jianming Ye; Richard E. Schantz (IPDPS, 2007)

CDbin: Compact Discriminative Binary Descriptor Learned With Efficient Neural Network. - Jianming Ye; Shiliang Zhang; Tiejun Huang 001; Yong Rui (IEEE Trans. Circuits Syst. Video Technol., 2020)

Hybrid Network Compression via Meta-Learning. - Jianming Ye; Shiliang Zhang; Jingdong Wang 001 (ACM Multimedia, 2021)

Multi-Branch Global Graph Convolution Network for Point Clouds. - Haibo Fan; Guiquan Liu; Yanfei Liu; Jianming Ye (IEEE Access, 2021)

Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics. - Jianming Ye; He Huang; Weiwei Jiang; Xiaomei Xu; Chun Xie; Bo Lu; Xiangcai Wang; Xiaobo Lai (Sci. Program., 2021)

Domain Generalization Capability Enhancement for Binary Neural Networks. - Jianming Ye; Shunan Mao; Shiliang Zhang (BMVC, 2022)

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework. - Xi Guan; Guang Yang 006; Jianming Ye; Weiji Yang; Xiaomei Xu; Weiwei Jiang; Xiaobo Lai (BMC Medical Imaging, 2022)

Automated Segmentation of Mass Regions in DBT Images Using a Dilated DCNN Approach. - Jianming Ye; Weiji Yang; Jianqing Wang; Xiaomei Xu; Liuyi Li; Chun Xie; Gang Chen; Xiangcai Wang; Xiaobo Lai (Comput. Intell. Neurosci., 2022)

Distillation-Guided Residual Learning for Binary Convolutional Neural Networks. - Jianming Ye; Jingdong Wang 001; Shiliang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Recognizing High-Speed Moving Objects with Spike Camera. - Junwei Zhao; Jianming Ye; Shiliang Zhang; Zhaofei Yu; Tiejun Huang 001 (ACM Multimedia, 2023)

Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. - Jingyu Zhu; Jianming Ye; Leshui Dong; Xiaofei Ma 002; Na Tang; Peng Xu; Wei Jin; Ruipeng Li; Guang Yang 006; Xiaobo Lai (Int. J. Imaging Syst. Technol., 2023)

Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA. - Lilin Guo; Yu Liang; Ruichao Guo; Zhijian Cao; Jianming Ye; Xiaobo Lai (Int. J. Imaging Syst. Technol., 2024)

Crowd evacuation simulation based on hierarchical agent model and physics-based character control. - Jianming Ye; Zhen Liu 002; Tingting Liu 002; Yanhui Wu; Yuanyi Wang (Comput. Animat. Virtual Worlds, 2024)

Automated Segmentation of Brain Gliomas in Multimodal MRI Data. - Changxiong Xie; Jianming Ye; Xiaofei Ma 002; Leshui Dong; Guohua Zhao; Jingliang Cheng; Guang Yang 006; Xiaobo Lai (Int. J. Imaging Syst. Technol., 2024)

Dual examiner consistency learning with dynamic receptive fields and class-balance refinement for Barely-supervised brain tumor segmentation. - Xiaofei Ma; Manman Tian; Jianming Ye; Yuehui Liao; Yu Chen; Changxiong Xie; Ruipeng Li; Panfei Li; Jianqing Wang; Xiaomei Xu; Xiaobo Lai (Displays, 2025)