Publications (6)
Video Moment Retrieval via Natural Language Queries
Xinli Yu, Mohsen Malmir, Cynthia He +2
In this paper, we propose a novel method for video moment retrieval (VMR) that achieves state of the arts (SOTA) performance on R@1 metrics and surpassing the SOTA on the high IoU…
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…
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
Xinli Yu, Zheng Chen, Yuan Ling +3
This paper presents a novel study on harnessing Large Language Models' (LLMs) outstanding knowledge and reasoning abilities for explainable financial time series forecasting. The a…
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…