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Jie Ran
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2020 – today
- 2024
- [j4]Jie Ran, Yonghui Zhou:
A Stochastic Discrete Fractional Cournot Duopoly Game: Modeling, Stability, and Optimal Control. Complex. 2024: 6680399:1-6680399:19 (2024) - 2023
- [c9]Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong:
PECAN: A Product-Quantized Content Addressable Memory Network. DATE 2023: 1-6 - [i6]Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong:
Lite it fly: An All-Deformable-Butterfly Network. CoRR abs/2311.08125 (2023) - [i5]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 abs/2312.06101 (2023) - 2022
- [j3]Jie Ran, Yu-Qin Li, Yi-Bin Xiong:
On the dynamics of fractional q-deformation chaotic map. Appl. Math. Comput. 424: 127053 (2022) - [c8]Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong:
EZCrop: Energy-Zoned Channels for Robust Output Pruning. WACV 2022: 3595-3604 - [i4]Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong:
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. CoRR abs/2203.13556 (2022) - [i3]Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong:
PECAN: A Product-Quantized Content Addressable Memory Network. CoRR abs/2208.13571 (2022) - 2021
- [j2]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): 4774 (2021) - [c7]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: 1-4 - [c6]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: 1-6 - [c5]Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong:
Deformable Butterfly: A Highly Structured and Sparse Linear Transform. NeurIPS 2021: 16145-16157 - [i2]Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong:
EZCrop: Energy-Zoned Channels for Robust Output Pruning. CoRR abs/2105.03679 (2021) - [i1]Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong:
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. CoRR abs/2105.04218 (2021) - 2020
- [c4]Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong:
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. ICPR 2020: 9866-9873 - [c3]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: 2843-2846
2010 – 2019
- 2018
- [j1]Jie Ran, Yuqin Li, Changchun Wang:
Chaos and Complexity Analysis of a Discrete Permanent-Magnet Synchronous Motor System. Complex. 2018: 7961214:1-7961214:8 (2018) - 2011
- [c2]Jie Ran, Yafeng Wang, Dacheng Yang, Wei Xiang:
A novel selection incremental relaying strategy for cooperative networks. WCNC 2011: 1892-1896 - 2010
- [c1]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: 1-5
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