Power Allocation in Inter-Satellite Ranging Measurement of Navigation Constellation. - Xianbin Li; Yueke Wang; Jun Yang; Jianyun Chen (IEEE Commun. Lett., 2014)

Signaling pathway impact analysis by incorporating the importance and specificity of genes (SPIA-IS). - Hongyuan Fang; Xianbin Li; Xiangzhen Zan; Liangzhong Shen; Runnian Ma; Wenbin Liu (Comput. Biol. Chem., 2017)

A Parallel Radix-2k FFT Processor using Single-Port Merged-Bank Memory. - Jian Wang 007; Xianbin Li; Guangteng Fan; Zhouhui Tuo (ISCAS, 2019)

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. - Elaheh Zendehrouh; Mohammad S. Eslampanah Sendi; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (EMBC, 2020)

Power-Efficient Approximate Multiplier Using Adaptive Error Compensation. - Zhixi Yang; Honglan Jiang; Xianbin Li; Jun Yang 006 (ACM Great Lakes Symposium on VLSI, 2020)

A High Accuracy Approximate Multiplier with Error Correction. - Zhixi Yang; Jun Yang; Xianbin Li; Jian Wang; Zhou Zhang 004 (ISCAS, 2020)

Discriminative Analysis of Symptom Severity and Ultra-High Risk of Schizophrenia Using Intrinsic Functional Connectivity. - Lubin Wang; Xianbin Li; Yuyang Zhu; Bei Lin; Qijing Bo; Feng Li; Chuanyue Wang (Int. J. Neural Syst., 2020)

Approximate Compressor-Based Multiplier Design Methodology for Error-Resilient Digital Signal Processing. - Zhixi Yang; Xianbin Li; Jun Yang (J. Circuits Syst. Comput., 2020)

Power Efficient and High-Accuracy Approximate Multiplier with Error Correction. - Zhixi Yang; Xianbin Li; Jun Yang (J. Circuits Syst. Comput., 2020)

Scheduling of Data Access for the Radix-2k FFT Processor Using Single-Port Memory. - Jian Wang 007; Songting Li; Xianbin Li (IEEE Trans. Very Large Scale Integr. Syst., 2020)

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. - Dongmei Zhi; Vince D. Calhoun; Chuanyue Wang; Xianbin Li; Xiaohong Ma; Luxian Lv; Weizheng Yan; Dongren Yao; Shile Qi; Rongtao Jiang; Jianlong Zhao; Xiao Yang; et al. (EMBC, 2021)

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (Brain Connect., 2021)

Polymorphic Learning of Heterogeneous Resources in Digital Twin Networks. - Chengzhuo Han; Tingting Yang 001; Xianbin Li; Kai Wang; Hailong Feng (ICC, 2022)

A Software Defined High-Speed CameraLink Image Data Transmission System Based on Pixel Clock Recovery. - Jiangyi Qin; Kai Wang; Xianbin Li; Yong Jiang; Yuan Zuo (Autom. Control. Comput. Sci., 2022)

PmiRtarbase: A positive miRNA-target regulations database. - Peng Xu 004; Xianbin Li; Yijun Liang; Zhenshen Bao; Fengyue Zhang; Lili Gu; Saeed Kosari; Wenbin Liu (Comput. Biol. Chem., 2022)

A simple pre-disease state prediction method based on variations of gene vector features. - Zhenshen Bao; Yihua Zheng; Xianbin Li; Yanhao Huo; Geng Zhao 003; Fengyue Zhang; Xiaoyan Li; Peng Xu 004; Wenbin Liu; Henry Han (Comput. Biol. Medicine, 2022)

Convergence of S3C empowered distributed cooperative optimization for multi-unmanned surface vehicles. - Xin Sun; Tingting Yang 001; Shan Gao; Kai Wang; Xianbin Li (Phys. Commun., 2022)

Multi-Armed Bandits Learning for Task Offloading in Maritime Edge Intelligence Networks. - Tingting Yang 001; Shan Gao; Jiabo Li; Meng Qin 001; Xin Sun; Ran Zhang 001; Miao Wang 003; Xianbin Li (IEEE Trans. Veh. Technol., 2022)

RONet: Scaling GPU System with Silicon Photonic Chiplet. - Chengeng Li; Fan Jiang; Shixi Chen; Xianbin Li; Yinyi Liu; Lin Chen 029; Xiao Li; Jiang Xu 001 (ICCAD, 2023)

FIONA: Photonic-Electronic CoSimulation Framework and Transferable Prototyping for Photonic Accelerator. - Yinyi Liu; Bohan Hu; Zhenguo Liu; Peiyu Chen; Linfeng Du; Jiaqi Liu; Xianbin Li; Wei Zhang 012; Jiang Xu 001 (ICCAD, 2023)

On-Demand Model Compression for Leo: A Model Collaborative Reasoning Framework. - Jiawang Ren; Fei Zhang; Xiaoming Wang; Xianbin Li; Min Tang (IC-NIDC, 2023)

AN Edge-to-Edge Collaborative Approach for AI Tasks in LEO Networks. - Jiaxing Wang; Fei Zhang; Xiaoming Wang; Xianbin Li; Min Tang (IC-NIDC, 2023)

A Two-Stage Method for Ultra-Short-Term PV Power Forecasting Based on Data-Driven. - Hangxia Zhou; Jun Wang; Fulian Ouyang; Chen Cui; Xianbin Li (IEEE Access, 2023)

3D Modeling and Analysis of Cooperative Perception-Oriented Millimeter-Wave V2I Networks With Information Value-Based Relay. - Peng Wu; Xianbin Li; Hui Zheng; Kai Wang; Jiangyi Qin; Min Tang (IEEE Trans. Veh. Technol., 2023)

Towards Scalable GPU System with Silicon Photonic Chiplet. - Chengeng Li; Fan Jiang; Shixi Chen; Xianbin Li; Jiaqi Liu; Wei Zhang; Jiang Xu (DATE, 2024)

PhotonNTT: Energy-Efficient Parallel Photonic Number Theoretic Transform Accelerator. - Xianbin Li; Jiaqi Liu; Yuying Zhang; Yinyi Liu; Jiaxu Zhang; Chengeng Li; Shixi Chen; Yuxiang Fu; Fengshi Tian; Wei Zhang 012; Jiang Xu 001 (DATE, 2024)

NEOCNN: NTT-Enabled Optical Convolution Neural Network Accelerator. - Xianbin Li; Yinyi Liu; Fan Jiang; Chengeng Li; Yuxiang Fu; Wei Zhang 012; Jiang Xu 001 (ICS, 2024)

Contrastive visual clustering for improving instance-level contrastive learning as a plugin. - Yue Liu; Xiangzhen Zan; Xianbin Li; Wenbin Liu; Gang Fang (Pattern Recognit., 2024)

PhotonGraph: High-performance Photonic Graph Processing Accelerator. - Jiaqi Liu; Xianbin Li (ASP-DAC, 2025)