Joint Power Allocation and Best-Relay Positioning for Incremental Selection Amplify-and-Forward Relaying. - Jie Ran; Yafeng Wang; Chang Li; Dacheng Yang; Wei Xiang 001 (VTC Fall, 2010)

A novel selection incremental relaying strategy for cooperative networks. - Jie Ran; Yafeng Wang; Dacheng Yang; Wei Xiang 001 (WCNC, 2011)

Chaos and Complexity Analysis of a Discrete Permanent-Magnet Synchronous Motor System. - Jie Ran; Yuqin Li; Changchun Wang (Complex., 2018)

Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks. - Jie Ran; Rui Lin; Hayden K. H. So; Graziano Chesi; Ngai Wong 001 (ICPR, 2020)

Adaptive Fusion and Mask Refinement Instance Segmentation Network for High Resolution Remote Sensing Images. - Jie Ran; Feng Yang 015; Chenqiang Gao; Yue Zhao 012; Anyong Qin (IGARSS, 2020)

BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing. - Yuan Ren; Rui Lin; Jie Ran; Chang Liu 094; Chaofan Tao; Zhongrui Wang; Can Li; Ngai Wong 001 (ASICON, 2021)

Oriented Object Detection For Remote Sensing Images Based On Weakly Supervised Learning. - Yongqing Sun; Jie Ran; Feng Yang 015; Chenqiang Gao; Takayuki Kurozumi; Hideaki Kimata; Ziqi Ye (ICME Workshops, 2021)

Deformable Butterfly: A Highly Structured and Sparse Linear Transform. - Rui Lin; Jie Ran; King Hung Chiu; Graziano Chesi; Ngai Wong 001 (NeurIPS, 2021)

Accurate Instance Segmentation for Remote Sensing Images via Adaptive and Dynamic Feature Learning. - Feng Yang 015; Xiangyue Yuan; Jie Ran; Wenqiang Shu; Yue Zhao 012; Anyong Qin; Chenqiang Gao (Remote. Sens., 2021)

EZCrop: Energy-Zoned Channels for Robust Output Pruning. - Rui Lin; Jie Ran; Dongpeng Wang; King Hung Chiu; Ngai Wong 001 (WACV, 2022)

On the dynamics of fractional q-deformation chaotic map. - Jie Ran; Yu-Qin Li; Yi-Bin Xiong (Appl. Math. Comput., 2022)

PECAN: A Product-Quantized Content Addressable Memory Network. - Jie Ran; Rui Lin; Jason Chun Lok Li; Jiajun Zhou; Ngai Wong 001 (DATE, 2023)

Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution. - Binxiao Huang; Jason Chun Lok Li; Jie Ran; Boyu Li; Jiajun Zhou; Dahai Yu; Ngai Wong 001 (IJCAI, 2024)

A Stochastic Discrete Fractional Cournot Duopoly Game: Modeling, Stability, and Optimal Control. - Jie Ran; Yonghui Zhou (Complex., 2024)

Global stability and synchronization of stochastic discrete-time variable-order fractional-order delayed quaternion-valued neural networks. - Jie Ran; Yonghui Zhou; Hao Pu (Math. Comput. Simul., 2024)

Fixed-time convergence in discrete fractional systems. - Jie Ran; Yonghui Zhou (Appl. Math. Lett., 2025)

Discrete fractional neural networks within the framework of octonions: A preliminary exploration. - Jie Ran; Yonghui Zhou; Thabet Abdeljawad; Hao Pu (J. Comput. Sci., 2025)

Lite It Fly: An All-Deformable-Butterfly Network. - Rui Lin; Jason Chun Lok Li; Jiajun Zhou; Binxiao Huang; Jie Ran; Ngai Wong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)