2019 年 06 月 02 日

6/24(一)資工系專題演講

資訊工程系專題演講

時間:108年6月24日(星期一)上午10:00-13:00

地點:綜三館6F 數位學習實驗室(BGC0614)

演講題目: Multi-task Learning for Transit Service Disruption Detection

講者:美國維吉尼亞理工大學呂昌田教授

聽講班級:資工系碩士班學生,及其他有興趣四技的同學

Abstract:

With the rapid growth in urban transit networks in recent years, detecting service disruptions in a timely manner is a problem of increased interest to service providers. Transit agencies are seeking to move beyond traditional customer questionnaires and manual service inspections to leveraging open source indicators like social media for detecting emerging transit events. In this paper, we leverage Twitter data for early detection of metro service disruptions. Inspired by the multi-task learning framework, we propose the Metro Disruption Detection Model, which captures the semantic similarity between transit lines in Twitter space. We propose novel constraints on feature semantic similarity exploiting prior knowledge about the spatial connectivity and shared tracks of the metro network. An algorithm based on the alternating direction method of multipliers (ADMM) framework is developed to solve the proposed model. We run extensive experiments and comparisons to other models with real world Twitter data and transit disruption records from the Washington Metropolitan Area Transit Authority (WMATA) to justify the efficacy of our model.

Bio:

Chang-Tien Lu is a Professor of Computer Science and Associate Director of the Discovery Analytics Center at Virginia Tech. He received his Ph.D. from the University of Minnesota at Twin Cities in 2001. He served as Program Chair of the 18th IEEE International Conference on Tools with Artificial Intelligence in 2006, and General Chair of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems in 2009 and the International Symposium on Spatial and Temporal Databases in 2017. He also served as Secretary (2008-2011) and Vice Chair (2011-2014) of the ACM Special Interest Group on Spatial Information (ACM SIGSPATIAL). His research interests include spatial databases, data mining, urban computing, and intelligent transportation systems. He has published over 140 articles in top rated journals and conference proceedings. His research has been supported by NSF, NIH, DoD, IARPA, VDOT, and DCDOT. He is an ACM Distinguished Scientist and Virginia Tech College of Engineering faculty fellow.

虎尾科大資工系

資訊工程系教育目標:

一、資訊工程領域之專業人才。二、具備垮領域團隊合作之人才。三、專業倫理與國際視野之人才。

具備計算機數學、程式設計與問題解決的基礎能力。具有執行團隊合作與人際溝通的協調能力。具備國際視野與人文素...

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