Blog
A Causal Convolutional Low-rank Representation Model for Imputation of Water Quality Data
The monitoring of water quality is a crucial part of environmental protection, and a large number of monitors are widely deployed to monitor water quality. Due to unavoidable factors such as data acquisition breakdowns, sensors and communication failures, water quality monitoring data...
Fully Bayesian Approaches to Topics over Time
The Topics over Time (ToT) model captures thematic changes in timestamped datasets by explicitly modeling publication dates jointly with word co-occurrence patterns. However, ToT was not approached in a fully Bayesian fashion, a flaw that makes it susceptible to stability problems. To...
Did DESI DR2 truly reveal dynamical dark energy?
A fundamental question in cosmology is whether dark energy evolves over time, a topic that has gained prominence since the discovery of cosmic acceleration. Recently, the DESI collaboration has reported increasing evidence for evolving dark energy using combinations of cosmic microwave background...
A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention
This paper addresses the challenges of mining latent patterns and modeling contextual dependencies in complex sequence data. A sequence pattern mining algorithm is proposed by integrating Bidirectional Long Short-Term Memory (BiLSTM) with a multi-scale attention mechanism. The BiLSTM captures both forward and...
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
With the widespread availability of sensor data across industrial and operational systems, we frequently encounter heterogeneous time series from multiple systems. Anomaly detection is crucial for such systems to facilitate predictive maintenance. However, most existing anomaly detection methods are designed for either...
Immersive Teleoperation Framework for Locomanipulation Tasks
Recent advancements in robotic loco-manipulation have leveraged Virtual Reality (VR) to enhance the precision and immersiveness of teleoperation systems, significantly outperforming traditional methods reliant on 2D camera feeds and joystick controls. Despite these advancements, challenges remain, particularly concerning user experience across different...
Rydberg Atoms in a Ladder Geometry: Quench Dynamics and Floquet Engineering
In recent days, Rydberg atom quantum simulator platforms have emerged as novel quantum simulators for physical systems ranging from condensed matter to particle physics. On a fundamental level, these platforms allow for a direct test of our understanding of the emergence of...
Coronal Gas in Magellanic-Analog Dwarfs: Insights from the \textsc{HESTIA} Simulations
We characterize the warm circumgalactic medium (CGM) of a dwarf galaxy pair with properties similar to the Magellanic Clouds in the \textsc{Hestia} cosmological simulations. The system consists of a massive dwarf ($M_{\rm halo} \sim 10^{11.5} M_{\odot}$) and a lower-mass companion ($M_{\rm halo}...
Swap Monte Carlo for diatomic molecules
In recent years the Swap Monte Carlo algorithm has led to remarkable progress in equilibrating supercooled model liquids at low temperatures. Applications have so far been limited to systems composed of spherical particles, however, whereas most real-world supercooled liquids are molecular. We...
Lance: Efficient Random Access in Columnar Storage through Adaptive Structural Encodings
The growing interest in artificial intelligence has created workloads that require both sequential and random access. At the same time, NVMe-backed storage solutions have emerged, providing caching capability for large columnar datasets in cloud storage. Current columnar storage libraries fall short of...