Jie Ran

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 18

Top Topics

Highly Structured

Complexity Analysis

Top Venues

Math. Comput. Simul.

Publications

Jie Ran, Yonghui Zhou, Hao Pu
Global stability and synchronization of stochastic discrete-time variable-order fractional-order delayed quaternion-valued neural networks. Math. Comput. Simul. 226 (2024)
Jie Ran, Yonghui Zhou
A Stochastic Discrete Fractional Cournot Duopoly Game: Modeling, Stability, and Optimal Control. Complex. 2024 (2024)
Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong
Lite it fly: An All-Deformable-Butterfly Network. CoRR (2023)
Binxiao Huang, Jason Chun Lok Li, Jie Ran, Boyu Li, Jiajun Zhou, Dahai Yu, Ngai Wong
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. CoRR (2023)
Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
PECAN: A Product-Quantized Content Addressable Memory Network. DATE (2023)
Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
EZCrop: Energy-Zoned Channels for Robust Output Pruning. WACV (2022)
Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. CoRR (2022)
Jie Ran, Yu-Qin Li, Yi-Bin Xiong
On the dynamics of fractional q-deformation chaotic map. Appl. Math. Comput. 424 (2022)
Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
PECAN: A Product-Quantized Content Addressable Memory Network. CoRR (2022)
Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
EZCrop: Energy-Zoned Channels for Robust Output Pruning. CoRR (2021)
Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong
BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. ASICON (2021)
Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. NeurIPS (2021)
Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. CoRR (2021)
Feng Yang, Xiangyue Yuan, Jie Ran, Wenqiang Shu, Yue Zhao, Anyong Qin, Chenqiang Gao
Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning. Remote. Sens. 13 (23) (2021)
Yongqing Sun, Jie Ran, Feng Yang, Chenqiang Gao, Takayuki Kurozumi, Hideaki Kimata, Ziqi Ye
Oriented Object Detection For Remote Sensing Images Based On Weakly Supervised Learning. ICME Workshops (2021)
Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. ICPR (2020)
Jie Ran, Feng Yang, Chenqiang Gao, Yue Zhao, Anyong Qin
Adaptive Fusion and Mask Refinement Instance Segmentation Network for High Resolution Remote Sensing Images. IGARSS (2020)
Jie Ran, Yuqin Li, Changchun Wang
Chaos and Complexity Analysis of a Discrete Permanent-Magnet Synchronous Motor System. Complex. 2018 (2018)
Jie Ran, Yafeng Wang, Dacheng Yang, Wei Xiang
A novel selection incremental relaying strategy for cooperative networks. WCNC (2011)
Jie Ran, Yafeng Wang, Chang Li, Dacheng Yang, Wei Xiang
Joint Power Allocation and Best-Relay Positioning for Incremental Selection Amplify-and-Forward Relaying. VTC Fall (2010)