50 citations · 55 across the 6 of their papers we have counts for
6 papers
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…
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…
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…