Publications (7)
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration
Haotian Li, Yida Wang, Leyuan Wang +7
In recent years, multimodal large language models (MLLMs) have shown strong potential for embodied intelligence, yet their ability to maintain geometrically consistent spatial unde…
Dual-State Personalized Knowledge Tracing with Emotional Incorporation
Shanshan Wang, Fangzheng Yuan, Keyang Wang +3
Knowledge tracing has been widely used in online learning systems to guide the students' future learning. However, most existing KT models primarily focus on extracting abundant in…
Learning states enhanced knowledge tracing: Simulating the diversity in real-world learning process
Shanshan Wang, Xueying Zhang, Keyang Wang +2
The Knowledge Tracing (KT) task focuses on predicting a learner's future performance based on the historical interactions. The knowledge state plays a key role in learning process.…
Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
Shanshan Wang, Ying Hu, Xun Yang +3
Knowledge Tracing (KT) aims to trace changes in students' knowledge states throughout their entire learning process by analyzing their historical learning data and predicting their…
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
Keyang Wang, Lei Zhang, Wenli Song +2
The anchor-based detectors handle the problem of scale variation by building the feature pyramid and directly setting different scales of anchors on each cell in different layers.…
Reconcile Prediction Consistency for Balanced Object Detection
Keyang Wang, Lei Zhang
Classification and regression are two pillars of object detectors. In most CNN-based detectors, these two pillars are optimized independently. Without direct interactions between t…
Single-Shot Two-Pronged Detector with Rectified IoU Loss
Keyang Wang, Lei Zhang
In the CNN based object detectors, feature pyramids are widely exploited to alleviate the problem of scale variation across object instances. These object detectors, which strength…