Principal Component Analysis and Clustering Based Indoor Localizaion. - Dong Liang 010; Jingkang Yang; Rui Xuan; Zhaojing Zhang; Zhifang Yang; Kexin Shi (ICDM Workshops, 2015)

Optimal power control for energy efficiency of device-to-device communication underlaying cellular networks. - Yang Yang 007; Yuan Zhang 003; Kexin Shi; Jianjun Li (INDIN, 2016)

Research on the Security of Blockchain Data: A Survey. - Liehuang Zhu; Baokun Zheng; Meng Shen 001; Shui Yu 001; Feng Gao 019; Hongyu Li; Kexin Shi; Keke Gai (CoRR, 2018)

Data Security and Privacy in Bitcoin System: A Survey. - Liehuang Zhu; Baokun Zheng; Meng Shen 001; Feng Gao 019; Hongyu Li; Kexin Shi (J. Comput. Sci. Technol., 2020)

Blockchain-based multimedia sharing in vehicular social networks with privacy protection. - Kexin Shi; Liehuang Zhu; Can Zhang 002; Lei Xu 016; Feng Gao 019 (Multim. Tools Appl., 2020)

The Influence of Social Support on College Students' Mobile Phone Dependence: The Mediating Role of Security. - Guifang Fu; Kexin Shi; Kai Ye (Netw. Commun. Technol., 2020)

Fault Detection and Identification Based on Explicit Polynomial Mapping and Combined Statistic in Nonlinear Dynamic Processes. - Liangliang Shang; Kexin Shi; Chen Ma; Aibing Qiu; Liang Hua (IEEE Access, 2021)

Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems. - Kexin Shi; Yun Zhang; Bingyi Jing; Wenjia Wang (CoRR, 2022)

Learning Perception-Aware Agile Flight in Cluttered Environments. - Yunlong Song; Kexin Shi; Robert Penicka; Davide Scaramuzza 001 (ICRA, 2023)

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. - Yuchen Wang; Kexin Shi; Chengzhuo Lu; Yuguo Liu; Malu Zhang; Hong Qu (IJCAI, 2023)

A biologically inspired auto-associative network with sparse temporal population coding. - Ya Zhang; Kexin Shi; Xiaoling Luo 001; Yi Chen; Yucheng Wang; Hong Qu (Neural Networks, 2023)

Extreme Parkour with Legged Robots. - Xuxin Cheng; Kexin Shi; Ananye Agarwal; Deepak Pathak (ICRA, 2024)

HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer. - Kexin Shi; Hanwen Liu; Yi Chen; Hong Qu (IJCNN, 2024)

Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. - Shuai Wang; Dehao Zhang; Kexin Shi; Yuchen Wang; Wenjie Wei; Jibin Wu; Malu Zhang (INTERSPEECH, 2024)

Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model. - Jing Zhang; Linjiajie Fang; Kexin Shi; Wenjia Wang; Bingyi Jing (NeurIPS, 2024)

Fast RS-IOP Multivariate Polynomial Commitments and Verifiable Secret Sharing. - Zongyang Zhang; Weihan Li; Yanpei Guo; Kexin Shi; Sherman S. M. Chow; Ximeng Liu; Jin Dong (USENIX Security Symposium, 2024)

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems. - Kexin Shi; Jing Zhang; Linjiajie Fang; Wenjia Wang; Bingyi Jing (CoRR, 2024)

Hyperspectral Image Denoising via Double Subspace Deep Prior. - Kexin Shi; Jiangjun Peng; Jing Gao; Yisi Luo; Shuang Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction. - Kexin Shi; Yuanpeng Xiong; Yu Wang 225; Yifan Deng; Wenjia Wang; Bingyi Jing; Xin Gao 001 (Bioinform., 2024)

A Diversified Recommendation Scheme for Wireless Content Caching Networks. - Kexin Shi; Yaru Fu; Kevin Hung (IEEE Internet Things J., 2024)

Joint System Latency and Data Freshness Optimization for Cache-enabled Mobile Crowdsensing Networks. - Kexin Shi; Yaru Fu; Yongna Guo; Fu Lee Wang; Yan Zhang 002 (CoRR, 2025)

SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks. - Yimeng Shan; Zhenbang Ren; Haodi Wu; Wenjie Wei; Rui-Jie Zhu 003; Shuai Wang; Dehao Zhang; Yichen Xiao; Jieyuan Zhang; Kexin Shi; Jingzhinan Wang; Jason K. Eshraghian; et al. (CoRR, 2025)