任爽
选择字体:[ - - ]发布时间:2026-02-28

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研究方向:大数据、人工智能、区块链、数字孪生

工作单位:北京交通大学,计算机科学与技术学院

在本行业企业、研究领域、教育领域参与的有关主要工作及标志性成果:

Bing Han; Lixiang Deng; Yi Zheng; Shuang Ren. UPU-SNet: Siamese network for unsupervised point cloud upsampling based on spatial-aware transformers,  Computers and Graphics, 2023.10

Bing Han; Xinyun Zhang; Shuang Ren. PU-GACNet:Graph Attention Convolution Network for Point Cloud Upsampling, Image and Vision Computing, 2022.2

Bing Han; Shuang Ren. Mixed logit model based on nonlinear random utility functions: a transfer passenger demand prediction method on overnight D-trains, SOFT COMPUTING, 2022

Lixiang Deng, Bing Han, Shuang Ren, UPU-DGTNet: Dynamic Graph Transformer Network for Unsupervised Point Cloud Upsampling, 2022 IEEE the 8th International Conference on Computer and Communications (ICCC),2022.12

Yukun Zhao, Shuang Ren, Xinyun Zhang, DDR-Defense: 3D Defense Network with a Detector, a Denoiser, and a Reformer, 2022 IEEE the 8th International Conference on Computer and Communications (ICCC),2022.12

Bing Han; Shuang Ren. Optimizing stop plan and tickets allocation for high-speed railway based on uncertainty theory, SOFT COMPUTING, 2020,9(24)

团体标准《虚拟现实教学资源通用规范》参编

团体标准《数据中心碳标签评价规范》参编

团体标准《数据中心碳排放控制规范》参编

团体标准《城市轨道交通行车综合自动化系统技术规范》参编

团体标准《面向路网汽车尾气排放计算的交通流数据采集技术规范》参编

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