5 citations · 12 across the 11 of their papers we have counts for
11 papers
PGP-Clinical-TimeKAN: Prior-Guided Joint Probabilistic Forecasting of Clinical Trajectories
Weizhi Nie, Rihao Chang, Weijie Wang +1
Clinical deterioration unfolds through coupled, partially observed trajectories, not a single diagnostic label. We introduce PGP-Clinical-TimeKAN, a trajectory-first framework for…
Patient-Conditioned Dual Hypergraph Reasoning for Auditable Traditional Chinese Medicine Prescription Support
Weizhi Nie, Shaojin Bai, Weijie Wang +1
Traditional Chinese medicine (TCM) prescription support requires patient-specific reasoning from clinical narratives to syndromes, treatment principles, herbs, and doses. Direct la…
Liquid Latent State Dynamics for Interpretable Turbofan Degradation Modeling
Weizhi Nie, Weijie Wang, Yuting Su
Multivariate time-series models for prognostics are often evaluated by point prediction accuracy, yet their internal states rarely expose a coherent degradation process. We study l…
Prototype Latent World Model Replay for Class-Incremental Learning
Weizhi Nie, Hui Wang, Weijie Wang +1
Class-incremental learning requires a model to learn new classes while preserving decision regions for old ones. This is difficult when raw old samples are no longer available. We…
Hypergraph Normal World Models for Logical Visual Anomaly Detection
Weizhi Nie, Zibo Xu, Weijie Wang +1
Visual anomaly detection is often deployed with only normal training images. Most one-class detectors map test patches or features to a normal reference distribution. This works we…
Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection
Weizhi Nie, Weichao Liu, Weijie Wang +1
Abnormality detection in complex systems faces two practical barriers: abnormal labels are scarce, and binary labels do not quantify how far an event has departed from normal behav…
Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA
Xiaorong Zhu, Qiang Li, Zibo Xu +2
Medical visual question answering requires models to ground their responses in image evidence, because visually unsupported answers can mislead downstream interpretation. However,…
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance
Weizhi Nie, Ruidong Chen, Weijie Wang +2
In recent years, 3D models have been utilized in many applications, such as auto-driver, 3D reconstruction, VR, and AR. However, the scarcity of 3D model data does not meet its pra…
RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration
Mingrui Ma, Tao Wang, Lei Song +2
The Swin transformer has recently attracted attention in medical image analysis due to its computational efficiency and long-range modeling capability. Owing to these properties, t…
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
Guofeng Mei, Hao Tang, Xiaoshui Huang +5
Deep point cloud registration methods face challenges to partial overlaps and rely on labeled data. To address these issues, we propose UDPReg, an unsupervised deep probabilistic r…
Rethinking the Learning Paradigm for Facial Expression Recognition
Weijie Wang, Bo Li, Nicu Sebe +1
Due to the subjective crowdsourcing annotations and the inherent inter-class similarity of facial expressions, the real-world Facial Expression Recognition (FER) datasets usually e…