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2020 – today
- 2024
[c20]Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang:
Efficient Domain Adaptation for Non-Autoregressive Machine Translation. ACL (Findings) 2024: 13657-13670- [c19]Pei Guo, Wangjie You, Juntao Li, Bowen Yan, Min Zhang:
Exploring Reversal Mathematical Reasoning Ability for Large Language Models. ACL (Findings) 2024: 13671-13685 - [i8]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 abs/2405.05957 (2024) - 2023
- [j7]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: 120118 (2023) - [j6]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): 2966-2982 (2023) - [c18]Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang:
RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. AAAI 2023: 12854-12862 - [c17]Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang:
Isotropy-Enhanced Conditional Masked Language Models. EMNLP (Findings) 2023: 8278-8289 - [i7]Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang:
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer. CoRR abs/2303.07665 (2023) - [i6]Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo:
Incorporating Experts' Judgment into Machine Learning Models. CoRR abs/2304.11870 (2023) - [i5]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 abs/2309.10706 (2023) - 2022
- [c16]Pei Guo, Ryan Farrell:
Semantic Network Interpretation. WACV (Workshops) 2022: 400-409 - 2021
- [j5]Pei Guo, Yiyi Huang, Jianwu Wang:
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. Big Data Res. 26: 100252 (2021) - [j4]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: 642182 (2021) - [c15]Xin Wang, Pei Guo, Jianwu Wang:
Large-Scale Causality Discovery Analytics as a Service. IEEE BigData 2021: 3130-3140 - [i4]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 abs/2112.09762 (2021) - 2020
- [c14]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: 196-201 - [c13]Pei Guo, Achuna Ofonedu, Jianwu Wang:
Scalable and Hybrid Ensemble-Based Causality Discovery. SMDS 2020: 72-80
2010 – 2019
- 2019
- [j3]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): 2979 (2019) - [c12]Pei Guo, Aly Megahed, Shubhi Asthana, Paul R. Messinger:
Winnability Prediction for IT Services Bids. SCC 2019: 237-239 - [c11]Pei Guo, Chen Liu, Yan Tang, Jianwu Wang:
Parallel Gradient Boosting based Granger Causality Learning. IEEE BigData 2019: 2845-2854 - [c10]Yin Long, Pei Guo, Yusheng Yi:
A Study on Automatic Power Control Method Applied in Astronaut Extravehicular Activity. CSPS 2019: 115-120 - [c9]Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell:
A Hybrid Approach to Tiger Re-Identification. ICCV Workshops 2019: 294-301 - [c8]Pei Guo, Zhao Cheng:
Industry Research and Standardization Progress in Cellular Communication Solution for Unmanned Aerial Vehicle Application. WISATS (2) 2019: 13-22 - [c7]Pei Guo, Ryan Farrell:
Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition. WACV 2019: 1876-1885 - 2018
- [j2]Jun Sang, Zhongyuan Wu, Pei Guo, Haibo Hu, Hong Xiang, Qian Zhang, Bin Cai:
An Improved YOLOv2 for Vehicle Detection. Sensors 18(12): 4272 (2018) - [c6]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: 248-260 - [c5]Jianwu Wang, Chen Liu, Meiling Zhu, Pei Guo, Yapeng Hu:
Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. BigData Congress 2018: 158-165 - [c4]Shuai Liu, Yang Song, Pei Guo, Jing Meng, Mingxuan Wu:
Location Precision Analysis of Constellation Drift Influence in TDOA Location System. CSPS (2) 2018: 1159-1166 - [c3]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Pairwise Confusion for Fine-Grained Visual Classification. ECCV (12) 2018: 71-88 - [i3]Pei Guo, Ryan Farrell:
Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories. CoRR abs/1801.09057 (2018) - [i2]Pei Guo, Connor Anderson, Kolten Pearson, Ryan Farrell:
Neural Network Interpretation via Fine Grained Textual Summarization. CoRR abs/1805.08969 (2018) - 2017
- [c2]Pei Guo, Jianwu Wang, Zhiyuan Chen:
A comparison of big data application programming approaches: A travel companion case study. IEEE BigData 2017: 2869-2878 - [c1]Pei Guo, Xiaoran Ni, Xiaogang Chen, Xiangyang Ji:
Fast PixelCNN: Based on network acceleration cache and partial generation network. ISPACS 2017: 71-76 - [i1]Abhimanyu Dubey, Otkrist Gupta, Pei Guo, Ramesh Raskar, Ryan Farrell, Nikhil Naik:
Training with Confusion for Fine-Grained Visual Classification. CoRR abs/1705.08016 (2017) - 2016
- [j1]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): 819-837 (2016)
Coauthor Index
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