1 citations · 1 across the 7 of their papers we have counts for
8 papers
General Classification for Digital Knowledge: Algorithm, Identifiers and a First Benchmark
David Awad
Digital libraries and knowledge graphs need a way to organize very large collections so that related works are close and any work is quick to reach. The classifications libraries i…
Ask for Any Appliance: A Prompt-Programmable Foundation Model for Non-Intrusive Load Monitoring
Xudong Wang, Jiacheng Cui, Junyu Xue +2
Non-intrusive load monitoring (NILM) estimates appliance-level consumption from a whole-home meter, but appliance-specific models and fixed output inventories make coverage costly…
GLASS: Graph-Language Alignment with Spherical Scoring for Transferable Graph-Level Anomaly Detection
Xudong Wang, Chris Ding, Tongxin Li +1
We introduce GLASS, a framework for graph-level anomaly detection (GLAD) that achieves robust cross-domain transferability through graph-language alignment on the unit hypersphere.…
Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs
Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels +1
The optimal operation of modern microgrids, particularly those integrating stochastic renewable generation and battery energy storage system (BESS), relies heavily on load and dist…
Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
Xudong Wang, Guoming Tang, Junyu Xue +3
Non-Intrusive Load Monitoring (NILM) offers a cost-effective method to obtain fine-grained appliance-level energy consumption in smart homes and building applications. However, the…
Adaptive Riemannian Graph Neural Networks
Xudong Wang, Chris Ding, Tongxin Li +1
Graph data often exhibits complex geometric heterogeneity, where structures with varying local curvature, such as tree-like hierarchies and dense communities, coexist within a sing…
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control
Ruixiang Wu, Jiahao Ai, Tongxin Li
Model Predictive Control (MPC) is a powerful control strategy widely utilized in domains like energy management, building control, and autonomous systems. However, its effectivenes…
Behavior-Aware Efficient Detection of Malicious EVs in V2G Systems
Ruixiang Wu, Xudong Wang, Tongxin Li
With the rapid development of electric vehicles (EVs) and vehicle-to-grid (V2G) technology, detecting malicious EV drivers is becoming increasingly important for the reliability an…