Pei Zhang

PI3NN: Out-of-distribution-aware prediction intervals from three neural networks

2021 · arXiv (Cornell University)

We propose a novel prediction interval (PI) method for uncertainty quantification, which addresses three major issues with the state-of-the-art PI methods. First, existing PI methods require retraining of neural networks (NNs) for every given confidence …

Federated Route Leak Detection in Inter-domain Routing with Privacy Guarantee

2022 · ACM Transactions on Internet Technology

In the inter-domain network, route leaks can disrupt the Internet traffic and cause large outages. The accurate detection of route leaks requires the sharing of AS business relationship information. However, the business relationship information between …

A depth-wise separable residual neural network for PCDH8 status prediction in thyroid cancer pathological images

2025 · Intelligent Oncology

Accurate prediction of protocadherin 8 (PCDH8) gene expression status from whole-slide pathological images (WSIs) is critical for thyroid cancer diagnosis and prognosis, as PCDH8 overexpression is associated with tumor aggressiveness and poor outcomes. Existing methods …

JARVIS for HVAC: LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction

2026 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Question-answering (QA) interfaces powered by large language models (LLMs) present a promising direction for improving interactivity with HVAC system insights, particularly for non-expert users. However, enabling accurate, real-time, and context-aware interactions with HVAC systems introduces …

Alibaba’s Neural Machine Translation Systems for WMT18

2018

Yongchao Deng, Shanbo Cheng, Jun Lu, Kai Song, Jingang Wang, Shenglan Wu, Liang Yao, Guchun Zhang, Haibo Zhang, Pei Zhang, Changfeng Zhu, Boxing Chen. Proceedings of the Third Conference on Machine Translation: Shared Task Papers. …