Shitian Shen

Works (4)

Updated: July 5th, 2023 15:39

2018 article

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach

Improving Learning & Reducing Time: A Constrained Action-Based Reinforcement Learning Approach. PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 43–51.

By: S. Shen n, M. Ausin  n, B. Mostafavi n & M. Chi n

author keywords: Constrained Reinforcement Learning; POMDP; Intelligent Tutoring System
TL;DR: This work constructs a general data-driven framework called Constrained Action-based Partially Observable Markov Decision Process (CAPOMDP) to induce effective pedagogical policies and induces two types of policies: CAPOMDPLG using learning gain as reward with the goal of improving students' learning performance, and CAPomDPTime using time as reward for reducing students' time on task. (via Semantic Scholar)
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Source: Web Of Science
Added: April 2, 2019

2016 conference paper

An analysis of feature selection and reward function for model-based reinforcement learning

Intelligent tutoring systems, its 2016, 0684, 504–505.

By: S. Shen, C. Lin, B. Mostafavi, T. Barnes & M. Chi

Source: NC State University Libraries
Added: August 6, 2018

2015 review

Anomaly detection in dynamic networks: a survey

[Review of ]. WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 7(3), 223–247.

By: S. Ranshous n, S. Shen n, D. Koutra *, S. Harenberg n, C. Faloutsos * & N. Samatova n

author keywords: anomaly detection; dynamic networks; outlier detection; graph mining; dynamic network anomaly detection; network anomaly detection
TL;DR: This work focuses on anomaly detection in static graphs, which do not change and are capable of representing only a single snapshot of data, but as real‐world networks are constantly changing, there has been a shift in focus to dynamic graphs,Which evolve over time. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

report

Anomaly detection in dynamic networks: A survey

Ranshous, S., Shen, S., Koutra, D., Faloutsos, C., & Samatova, N. F. In Technical Report- Not held in TRLN member libraries.

By: S. Ranshous, S. Shen, D. Koutra, C. Faloutsos & N. Samatova

Source: NC State University Libraries
Added: August 6, 2018

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