6 papers indexed
Bin Wang, M. Luke McCormack, Daniel Ricciuto, X. B. Yang, Min Xu, Forrest M. Hoffman
Abstract. Land models typically represent the entire fine-root system as a single homogeneous pool, collapsing structural and functional complexity into one set of parameters. This simplification weakens the belowground feedbacks that balance source-driven carbon dynamics. Here,…
Background Grounded in self-determination theory, basic psychological needs are intrinsic factors that regulate employees' occupational mental health. Pediatric nurses face heavy work pressure and high levels of emotional labor, leading to prevalent occupational burnout. This stu…
Mei Yuan, Qi Long, Qifeng Wu, Zhenyang Li, Yizhou Zhao, Lei Wang, et al.
Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, which is crucial for modern manufacturing and quality control systems. Existing VLM-based anomaly reasoning methods are capable of detecting open-ended anomalies in g…
Ha-Hieu Pham, Hai-Dang Nguyen, Dang P. M. Cao, Thanh-Huy Nguyen, Min Xu, Trung-Nghia Le, et al.
In chest X-ray (CXR) classification, acceptable ranking performance can still leave rare-positive patients below threshold, especially within subgroups. We study this pre-deployment fairness problem as an audit question: after a long-tailed multi-label CXR model is converted from…
Tien-Huy Nguyen, Minh-Nhat Nguyen, Nguyen Nhat Huy, Hung Viet Nguyen, Huy Nguyen Minh Nhat, Thanh-Huy Nguyen, et al.
Vision-language models (VLMs) have achieved strong performance across diverse multimodal tasks, yet they remain vulnerable to unreliable reasoning. Existing self-correction methods mitigate these issues but typically rely on post-training or carefully engineered feedback, incurri…
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
Current anomaly detection methods primarily focus on structural anomalies, while paying insufficient attention to anomalies that violate logical constraints. Conversely, top-performing logical anomaly detection approaches address this by modeling global semantic consistency, but…