Pei Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Visual Classification

Machine Learning Models

Top Venues

Publications

Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. CoRR (2024)
Pei Guo, Wangjie You, Juntao Li, Bowen Yan, Min Zhang
Exploring Reversal Mathematical Reasoning Ability for Large Language Models. ACL (Findings) (2024)
Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang
Efficient Domain Adaptation for Non-Autoregressive Machine Translation. ACL (Findings) (2024)
Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo
Incorporating Experts' Judgment into Machine Learning Models. CoRR (2023)
Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo
Incorporating experts' judgment into machine learning models. Expert Syst. Appl. 228 (2023)
Juntao Li, Zecheng Tang, Yuyang Ding, Pinzheng Wang, Pei Guo, Wangjie You, Dan Qiao, Wenliang Chen, Guohong Fu, Qiaoming Zhu, Guodong Zhou, Min Zhang
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch. CoRR (2023)
Xin Wang, Pei Guo, Xingyan Li, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman, Jianwu Wang
Reproducible and Portable Big Data Analytics in the Cloud. IEEE Trans. Cloud Comput. 11 (3) (2023)
Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang
RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. AAAI (2023)
Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer. CoRR (2023)
Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang
Isotropy-Enhanced Conditional Masked Language Models. EMNLP (Findings) (2023)
Pei Guo, Ryan Farrell
Semantic Network Interpretation. WACV (Workshops) (2022)
Pei Guo, Yiyi Huang, Jianwu Wang
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. Big Data Res. 26 (2021)
Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
Reproducible and Portable Big Data Analytics in the Cloud. CoRR (2021)
Yiyi Huang, Matthäus Kleindessner, Alexey A. Munishkin, Debvrat Varshney, Pei Guo, Jianwu Wang
Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere. Frontiers Big Data 4 (2021)
Xin Wang, Pei Guo, Jianwu Wang
Large-Scale Causality Discovery Analytics as a Service. IEEE BigData (2021)
Ping Hou, Pei Guo, Peng Wu, Jianwu Wang, Aryya Gangopadhyay, Zhibo Zhang
A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. SMARTCOMP (2020)
Pei Guo, Achuna Ofonedu, Jianwu Wang
Scalable and Hybrid Ensemble-Based Causality Discovery. SMDS (2020)
Pei Guo, Zhao Cheng
Industry Research and Standardization Progress in Cellular Communication Solution for Unmanned Aerial Vehicle Application. WISATS (2) (2019)
Yin Long, Pei Guo, Yusheng Yi
A Study on Automatic Power Control Method Applied in Astronaut Extravehicular Activity. CSPS (2019)
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
Single-Step Formation of Ni Nanoparticle-Modified Graphene-Diamond Hybrid Electrodes for Electrochemical Glucose Detection. Sensors 19 (13) (2019)
Pei Guo, Ryan Farrell
Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition. WACV (2019)
Pei Guo, Aly Megahed, Shubhi Asthana, Paul R. Messinger
Winnability Prediction for IT Services Bids. SCC (2019)
Pei Guo, Chen Liuy, Yan Tang, Jianwu Wang
Parallel Gradient Boosting based Granger Causality Learning. IEEE BigData (2019)
Shuai Liu, Yang Song, Pei Guo, Jing Meng, Mingxuan Wu
Location Precision Analysis of Constellation Drift Influence in TDOA Location System. CSPS (2) (2018)
Pei Guo, Connor Anderson, Kolten Pearson, Ryan Farrell
Neural Network Interpretation via Fine Grained Textual Summarization. CoRR (2018)
Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. BigData Congress (2018)
Pei Guo, Ryan Farrell
Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories. CoRR (2018)
Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai
An Improved YOLOv2 for Vehicle Detection. Sensors 18 (12) (2018)
Carlos Barajas, Pei Guo, Lipi Mukherjee, Susan Hoban, Jianwu Wang, Daeho Jin, Aryya Gangopadhyay, Matthias K. Gobbert
Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. Bench (2018)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) (2018)
Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik
Training with Confusion for Fine-Grained Visual Classification. CoRR (2017)
Pei Guo, Xiaoran Ni, Xiaogang Chen, Xiangyang Ji
Fast PixelCNN: Based on network acceleration cache and partial generation network. ISPACS (2017)
Pei Guo, Jianwu Wang, Zhiyuan Chen
A comparison of big data application programming approaches: A travel companion case study. IEEE BigData (2017)
Lili Guo, Qingwei Li, Fei Gao, Jiangzhi Fu, Pei Guo
A New Method of Generating Spectral Nulls at the Transmitter in Cognitive Radio. Wirel. Pers. Commun. 88 (4) (2016)