目前本研究组在移动计算、数据科学等方向拟招收博士/硕士研究生。拟根据同学的个人兴趣，与海外的多个研究机构和工业界广泛合作为同学提供良好的研究和工程实践机会。如有兴趣，请发送邮件至邮箱（wxrao (at) tongji.edu.cn）。
最近更新
[NEW] (2020/07) Three Paper got accepted: "Context-aware Telco Outdoor Localization" accepted by IEEE Trans. on Mobile Computing (TMC), "SST: Synchronized Spatial-Temporal Trajectory Similarity Search" accepted by Springer GeoInformatic, and "IFLoc: Indoor Height Estimation by Telco Data" by IEEE MDM 2020 .
(2020/01) Three Paper got accepted: "Transfer Learning-Based Outdoor Position Recovery with Cellular Data" accepted by IEEE Trans. on Mobile Computing (TMC), "A Data-driven Sequential Localization Framework for Big Telco Data" accepted by IEEE Trans. on Knowledge and Data Engineering (TKDE), and "Accurate Demand Forecasting for Retails with Deep Neural Networks" by EDBT 2020 (short paper).
(2019/11) Our Paper "DeepLoc: Deep Neural Network-based Telco Outdoor Location Recovery" by Yige Zhang, Yu Xiao, Kai Zhao and Weixiong Rao won the Best Paper Award at MobiQuitous 2019 (see the photo).
Two papers got accepted by ACM CIKM 2019: 1) "PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network" and 2) "Experimental Study of Multivariate Time Series Forecasting". Congs to Yige and Jiaming.
We are orgnazing the 5th Joint Finland-China-Germany Workshop on Mobile Networking, Analytics and Edge Computing. Welcome to attend the worshop (2018-09-04).
One poster paper and one demo paper are accepted by Sensys 2018: Deep Neural Network-based Telco Outdoor Localization (Poster) by Yige Zhang, Weixiong Rao, Yu Xiao, and Frequent Pattern-based Trajectory Completion (Demo) by Zhiqiang. Zhang, Weixiong Rao, Fehmi Ben Abdesslem (2018-09-04)
Dr Kun Zhang from CMU visted us and gave the talk "Causal Modeling and Machine Learning" (2018-7-13)
Dr Yu Xiao from Aalto U. visited us and give the talk "Visual Crowdsourcing for Smart Mobility" (2018-6-21)
One paper is accepted by ALGOSENSORS 2018: Localization of MR Records with Missing RSSI Information by Jinhua Lv, Qinpei Zhao, Weixiong Rao, Yige Zhang, Mingxuan Yuan, Jia Zeng (2018-07)
赵鹏访问纽约城市大学、美国纽约大学城市科学和发展中心的Dr. Huy T. Vo (2017年11-12月).
张奕格访问德国慕尼黑工业大学Prof. Dr.-Ing. Jörg Ott和Dr. Aaron Yi DING (2017年10月).
2017/09: 参加德国慕尼黑工业大学"Mobile Networking, Analytics and Edge Computing"FGC 2017 研讨会，报告题目：When Outdoor Localization meets Telco Big Data
Our paper "Topic Model-Based Road Network Inference from Massive Trajectories" won IEEE MDM 2017 Best Paper Award (see the photo)
个人简介
自2014年中期加入同济大学软件学院, 曾在英国剑桥大学计算机实验室(2013), 芬兰赫尔辛基大学 计算科学系(2011-2012)和香港科技大学计算机科学与工程系(2010) 分别从事副研究员和博士后研究。在2005-2009年期间在香港中文大学计算机科学与工程系学习，获博士学位。此前分别在北方交通大学和上海交通大学获得本科和硕士学位。
研究方向及项目
1、分布式计算：
2、时空数据科学：
面向异构稀缺标注样本的全城用户数字足迹恢复关键技术研究 [国家自然科学基金面上项目 2020-2023]
立体定位技术研究 [企业合作项目 2019-2020]
室内外混合定位技术及应用研究 [中央高校基金项目 2017-2019]
电信时空洞察引擎技术合作项目 [企业合作项目 2016-2017]
深度推荐引擎研究 [企业合作项目 2017-]
指导学生
