A Novel Distributed Index Approach for Service Discovery in MANETs. - Yuanfeng Wen; Faen Zhang; Beihong Jin (ICPADS, 2008)

A Service Discovery System Analyzed with a Queueing Theory Model. - Beihong Jin; Haibin Weng; Yunfeng Wen; Faen Zhang (COMPSAC (1), 2009)

Efficient GPU NVRAM Persistence with Helper Warps. - Sui Chen; Faen Zhang; Lei Liu 037; Lu Peng 001 (DAC, 2019)

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. - Shen Yan; Biyi Fang; Faen Zhang; Yu Zheng 022; Xiao Zeng; Mi Zhang 002; Hui Xu (ICCV Workshops, 2019)

Accurate Face Detection for High Performance. - Faen Zhang; Xinyu Fan; Guo Ai; Jianfei Song; Yongqiang Qin; Jiahong Wu (CoRR, 2019)

Regression via Arbitrary Quantile Modeling. - Faen Zhang; Xinyu Fan; Hui Xu; Pengcheng Zhou; Yujian He; Junlong Liu (CoRR, 2019)

Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Softing Pruning. - Faen Zhang; Xinyu Fan; Hui Xu; Pengcheng Zhou; Yujian He; Junlong Liu (CoRR, 2019)

PACLP: a fine-grained partition-based access control policy language for provenance. - Faen Zhang; Xinyu Fan; Wenfeng Zhou; Pengcheng Zhou (CoRR, 2019)

Purpose-based access policy on provenance and data algebra. - Faen Zhang; Xinyu Fan; Wenfeng Zhou; Pengcheng Zhou (CoRR, 2019)

Zero knowledge proofs for cloud storage integrity checking. - Faen Zhang; Xinyu Fan; Pengcheng Zhou; Wenfeng Zhou (CoRR, 2019)

On the Security of A Remote Cloud Storage Integrity Checking Protocol. - Faen Zhang; Xinyu Fan; Pengcheng Zhou; Wenfeng Zhou (CoRR, 2019)

FlexDNN: Input-Adaptive On-Device Deep Learning for Efficient Mobile Vision. - Biyi Fang; Xiao Zeng; Faen Zhang; Hui Xu; Mi Zhang 002 (SEC, 2020)

A fine-grained policy model for Provenance-based Access Control and Policy Algebras.pdf. - Xinyu Fan; Faen Zhang; Jianfei Song; Jingming Guo; Fujie Gao (CoRR, 2020)

Provenance-based Classification Policy based on Encrypted Search. - Xinyu Fan; Faen Zhang; Jiahong Wu; Jingming Guo (CoRR, 2020)

AinnoSeg: Panoramic Segmentation with High Perfomance. - Jiahong Wu; Jianfei Lu; Xinxin Kang; Yiming Zhang; Yinhang Tang; Jianfei Song; Ze Huang; Shenglan Ben; Jiashui Huang; Faen Zhang (CoRR, 2020)

Deep Learning in the Era of Edge Computing: Challenges and Opportunities. - Mi Zhang 002; Faen Zhang; Nicholas D. Lane; Yuanchao Shu; Xiao Zeng; Biyi Fang; Shen Yan; Hui Xu (CoRR, 2020)

Deep residual networks with a fully connected reconstruction layer for single image super-resolution. - Yongliang Tang; Jiashui Huang; Faen Zhang; Weiguo Gong (Neurocomputing, 2020)

SPSSNet: a real-time network for image semantic segmentation. - Saqib Mamoon; Muhammad Arslan Manzoor; Faen Zhang; Zakir Ali; Jianfeng Lu 003 (Frontiers Inf. Technol. Electron. Eng., 2020)

Zero-Shot Instance Segmentation. - Ye Zheng; Jiahong Wu; Yongqiang Qin; Faen Zhang; Li Cui (CVPR, 2021)

Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization. - Fanhe Ma; Faen Zhang; Shenglan Ben; Shuxin Qin; Pengcheng Zhou; Changsheng Zhou; Fengyi Xu (CoRR, 2021)

Nonconvex regularizer and latent pattern based robust regression for face recognition. - Xiaoshuang Sang; Hong Lu; Qinghua Zhao; Faen Zhang; Jianfeng Lu 003 (Inf. Sci., 2021)

Coarse-to-fine: A dual-view attention network for click-through rate prediction. - Kaitao Song; Qingkang Huang; Faen Zhang; Jianfeng Lu 003 (Knowl. Based Syst., 2021)

Dual Attention Networks for Few-Shot Fine-Grained Recognition. - Shu-Lin Xu; Faen Zhang; Xiu-Shen Wei; Jianhua Wang (AAAI, 2022)

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars. - Hao Chen 052; Xiu-Shen Wei; Faen Zhang; Yang Shen; Hui Xu; Liang Xiao 001 (ECCV (25), 2022)

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning. - Xiu-Shen Wei; He-Yang Xu; Faen Zhang; Yuxin Peng; Wei Zhou (NeurIPS, 2022)

Watch out Venomous Snake Species: A Solution to SnakeCLEF2023. - Feiran Hu; Peng Wang 107; Yangyang Li; Chenlong Duan; Zijian Zhu; Fei Wang; Faen Zhang; Yong Li 032; Xiu-Shen Wei (CLEF (Working Notes), 2023)

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels. - Shu-Lin Xu; Yifan Sun 003; Faen Zhang; Anqi Xu; Xiu-Shen Wei; Yi Yang 001 (NeurIPS, 2023)

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition. - Xiu-Shen Wei; Xuhao Sun; Yang Shen; Anqi Xu; Peng Wang 023; Faen Zhang (CoRR, 2023)

MECOM: A Meta-Completion Network for Fine-Grained Recognition With Incomplete Multi-Modalities. - Xiu-Shen Wei; Hong-Tao Yu; Anqi Xu; Faen Zhang; Yuxin Peng (IEEE Trans. Image Process., 2024)