3 papers
cs.LG2026
Disentangling Knowledge States with Ability and Proficiency Modeling for Knowledge Tracing
Duantengchuan Li, Yingqian Bi, Jinsong Chen +2
Knowledge tracing (KT) aims to predict students' future performance by modeling their evolving knowledge states from historical interactions. Existing KT methods usually treat the…
cs.AI2026
MBP-KT: Learning Global Collaborative Information from Meta-Behavioral Pattern for Enhanced Knowledge Tracing
Yuhao Jia, Duantengchuan Li, Jinsong Chen +4
The emerging collaborative information-based knowledge tracing (KT) has been a promising way to enhance modeling of learners' knowledge states. The core idea is to extract the coll…
cs.SE2023
PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications
Shuaiyu Xie, Jian Wang, Bing Li +3
Autoscaling is critical for ensuring optimal performance and resource utilization in cloud applications with dynamic workloads. However, traditional autoscaling technologies are ty…