3 citations · 7 across the 7 of their papers we have counts for
8 papers
Text to Insight: Accelerating Organic Materials Knowledge Extraction via Deep Learning
Xintong Zhao, Steven Lopez, Semion Saikin +2
Scientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given th…
HIVE-4-MAT: Advancing the Ontology Infrastructure for Materials Science
Jane Greenberg, Xintong Zhao, Joseph Adair +2
Introduces HIVE-4-MAT - Helping Interdisciplinary Vocabulary Engineering for Materials Science, an automatic linked data ontology application. Covers contextual background for mate…
Neural Stochastic Block Model & Scalable Community-Based Graph Learning
Zheng Chen, Xinli Yu, Yuan Ling +1
This paper proposes a novel scalable community-based neural framework for graph learning. The framework learns the graph topology through the task of community detection and link p…
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews
Xinli Yu, Zheng Chen, Wei-Shih Yang +2
This paper presents a non-trivial reconstruction of a previous joint topic-sentiment-preference review model TSPRA with stick-breaking representation under the framework of variati…
Correlated Anomaly Detection from Large Streaming Data
Zheng Chen, Xinli Yu, Yuan Ling +4
Correlated anomaly detection (CAD) from streaming data is a type of group anomaly detection and an essential task in useful real-time data mining applications like botnet detection…
Fast Botnet Detection From Streaming Logs Using Online Lanczos Method
Zheng Chen, Xinli Yu, Chi Zhang +7
Botnet, a group of coordinated bots, is becoming the main platform of malicious Internet activities like DDOS, click fraud, web scraping, spam/rumor distribution, etc. This paper f…
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews
Zheng Chen, Yong Zhang, Yue Shang +1
This paper proposes a new HDP based online review rating regression model named Topic-Sentiment-Preference Regression Analysis (TSPRA). TSPRA combines topics (i.e. product aspects)…
Dialogue Session Segmentation by Embedding-Enhanced TextTiling
Yiping Song, Lili Mou, Rui Yan +4
In human-computer conversation systems, the context of a user-issued utterance is particularly important because it provides useful background information of the conversation. Howe…