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Yue Qiu's CV - Fox School of Business and Management

https://www.fox.temple.edu/sites/fox/files/documents/CVs/yue-qiu-cv.pdf

Instructor, Carlson School of Management Fall 2014 and Spring 2015 FINA 3001 Finance Fundamentals: Carlson undergraduate core course, 4 credits, about 60 students each semester (Teaching Evaluation: 5.4/6.0) Teaching Assistant, Carlson School of Management 2012-2016

Online AI Automation Certificate Course | Temple University

https://upskill.temple.edu/ai-automation

Turn automation ideas into reality. Pursue our 5-week online AI Automation certificate course and get hands-on creating automations with no-code tools, AI agents, and agentic AI.

131695-1216654150-Heon_Choul_Kim_s_dissertation

https://scholarshare.temple.edu/bitstreams/a7e8ac09-ba3c-4423-98ed-b3533161c333/download

Sufism is the path followed by an individual who, having been able to free himself or herself from human vices and weaknesses in order to acquire angelic qualities and conduct pleasing to God, lives in accordance with the requirements of God’s knowledge and love, and in the resulting spiritual delight that ensues. Sufism is based on observing even the most ‘trivial’ rules of the Shari ...

American and International Law - China LLM - Temple University

https://bulletin.temple.edu/graduate/scd/law/american-international-law-china-llm/

The Temple-Tsinghua LLM degree program provides Chinese legal professionals and law students with the knowledge and skills essential to meet the changing and growing legal demands of today’s global landscape. Graduates receive an LLM degree from Temple University. The program is approved by the Ministry of Education of the People's Republic of China and acquiesced by the American Bar ...

Review Summary Generation in Online Systems: Frameworks for Supervised ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/WENJUNJIANG2021TWeb.pdf

In online systems, including e-commerce platforms, many users resort to the reviews or comments generated by previous consumers for decision making, while their time is limited to deal with many reviews. Therefore, a review summary, which contains all important features in user-generated reviews, is expected. In this paper, we study “how to generate a comprehensive review summary from a ...

International Admissions | College of Education<br>and Human ...

https://education.temple.edu/admissions/international

International students are a vital part of Temple University's intellectual and cultural community. Below are resources that you may need during the admissions process. Applying for Admission You’re considered an international student if you hold, or will need to obtain, a non-immigrant visa, including a student visa (F-1), or an exchange visitor visa (J-1). In addition to the specific ...

DSpace - scholarshare.temple.edu

https://scholarshare.temple.edu/bitstreams/1995937b-8ebe-4db3-b79f-8609c07dd2f6/download

DSpace - scholarshare.temple.edu ... DSpace

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/m48122-zhao%20final.pdf

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration Hairui Zhao1, Hongliang Li1,2,∗, Qi Tian1, Jie Wu3, Meng Zhang1, Xiang Li1, Haixiao Xu4

Research Guides: Qualitative Data Analysis and QDA Tools: Dedoose

https://guides.temple.edu/qda/dedoose

Dedoose is a commercial, web-based qualitative research tool that allows advanced coding, analysis, and visualization of qualitative data and has a monthly pricing model.

1 Joint Dynamic Grouping and Gradient Coding for Time-critical ...

https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf

Abstract—In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive computation and delay caused by slow nodes, namely stragglers. The parameter server even abandons stragglers which fail to return ...