Pei Guo

According to our database, Pei Guo authored at least 29 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Incorporating experts' judgment into machine learning models.

Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo

Expert Syst. Appl., October, 2023

Reproducible and Portable Big Data Analytics in the Cloud.

Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang

IEEE Trans. Cloud Comput., 2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.

Juntao Li, Zecheng Tang, Yuyang Ding, Pinzheng Wang, Pei Guo, Wangjie You, Dan Qiao, Wenliang Chen, Guohong Fu, Qiaoming Zhu, Guodong Zhou, Min Zhang

CoRR, 2023

Isotropy-Enhanced Conditional Masked Language Models.

Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer.

Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Semantic Network Interpretation.

Pei Guo, Ryan Farrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere.

Yiyi Huang, Matthäus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang

Frontiers Big Data, 2021

Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery.

Pei Guo, Yiyi Huang, Jianwu Wang

Big Data Res., 2021

Large-Scale Causality Discovery Analytics as a Service.

Xin Wang, Pei Guo, Jianwu Wang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Scalable and Hybrid Ensemble-Based Causality Discovery.

Pei Guo, Achuna Ofonedu, Jianwu Wang

Proceedings of the IEEE International Conference on Smart Data Services, 2020

A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data.

Ping Hou, Pei Guo, Peng Wu, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang

Proceedings of the IEEE International Conference on Smart Computing, 2020

2019

Single-Step Formation of Ni Nanoparticle-Modified Graphene-Diamond Hybrid Electrodes for Electrochemical Glucose Detection.

Naiyuan Cui, Pei Guo, Qilong Yuan, Chen Ye, Mingyang Yang, Minghui Yang, Kuan W. A. Chee, Fei Wang, Li Fu, Qiuping Wei, Cheng-Te Lin, Jingyao Gao

Sensors, 2019

Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition.

Pei Guo, Ryan Farrell

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Industry Research and Standardization Progress in Cellular Communication Solution for Unmanned Aerial Vehicle Application.

Pei Guo, Zhao Cheng

Proceedings of the Wireless and Satellite Systems, 2019

A Hybrid Approach to Tiger Re-Identification.

Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Study on Automatic Power Control Method Applied in Astronaut Extravehicular Activity.

Yin Long, Pei Guo, Yusheng Yi

Proceedings of the Communications, Signal Processing, and Systems, 2019

Parallel Gradient Boosting based Granger Causality Learning.

Pei Guo, Chen Liu, Yan Tang, Jianwu Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Winnability Prediction for IT Services Bids.

Pei Guo, Aly Megahed, Shubhi Asthana, Paul R. Messinger

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

An Improved YOLOv2 for Vehicle Detection.

Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai

Sensors, 2018

Neural Network Interpretation via Fine Grained Textual Summarization.

Pei Guo, Connor Anderson, Kolten Pearson, Ryan Farrell

CoRR, 2018

Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories.

Pei Guo, Ryan Farrell

CoRR, 2018

Pairwise Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

Proceedings of the Computer Vision - ECCV 2018, 2018

Location Precision Analysis of Constellation Drift Influence in TDOA Location System.

Shuai Liu, Yang Song, Pei Guo, Jing Meng, Mingxuan Wu

Proceedings of the Communications, Signal Processing, and Systems, 2018

Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing.

Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data.

Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

2017

Training with Confusion for Fine-Grained Visual Classification.

Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik

CoRR, 2017

Fast PixelCNN: Based on network acceleration cache and partial generation network.

Pei Guo, Xiaoran Ni, Xiaogang Chen, Xiangyang Ji

Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017

A comparison of big data application programming approaches: A travel companion case study.

Pei Guo, Jianwu Wang, Zhiyuan Chen

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

A New Method of Generating Spectral Nulls at the Transmitter in Cognitive Radio.

Lili Guo, Qingwei Li, Fei Gao, Jiangzhi Fu, Pei Guo

Wirel. Pers. Commun., 2016