Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Plan-based bus bridging strategy during disruptions of urban rail networks.
Published:
• Constructed an Integer Linear Programming (ILP) model for “flexible scheduling” of buses to facilitate efficient passenger transportation during rail network disruptions. Developed a program using CPLEX to find the exact solution to the ILP model.
• Designed and implemented a heuristic algorithm in Python to expedite the solution process while consistently achieving optimal results. Introduced neighborhood actions in local search to enhance the algorithm’s performance, resulting in a solution that deviates by only 2.2% from the exact solution.
Time Series: Analysis of AQI of Delhi 2015-2020
Published:
Utilized R to model and predict Air Quality Index (AQI) for the 12-month period from August 2019 to August 2020, based on historical monthly air quality data from Delhi, India.
Text mining and classifications in Yunduoduo (Team Project)
Published:
• Collected data from forum “Yunduoduo” and fine-tuned the BERT model for predicting the sentiment of posts.
• Compared the accuracy and CPU time of various machine learning algorithms, including Random Forest, Logistic Regression, and Linear Support Vector Machines; Proposed a automatic classification application prototype.
Identifying Popular Products at An Early Stage for Apparel Industry
Published:
• Proposed a new indicator called AW Sales (Average Weekly Sales in Main Sales Period) to measure the popularity of a product, which is unaffected by the differences in store traffic, number of stores with initial stock, discounts and length of time the product has been launched.
• Constructed novel features such as the longest increasing subsequences derived from the sequence of weekly adjusted sales volume of product k across all stores within a typical region.
• Built a product popularity classification model for apprel field with LambdaMart ranking model, which is the first time the ranking algorithm has been applied to the sales prediction field. achieved a prediction accuracy of 78.9%, and identifies fast-selling products 17 days earlier than rule-based method.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.