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)

A comparison of big data application programming approaches: A travel companion case study. - Pei Guo; Jianwu Wang 001; Zhiyuan Chen 003 (IEEE BigData, 2017)

Fast PixelCNN: Based on network acceleration cache and partial generation network. - Pei Guo; Xiaoran Ni; Xiaogang Chen; Xiangyang Ji (ISPACS, 2017)

Training with Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (CoRR, 2017)

Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. - Carlos Barajas; Pei Guo; Lipi Mukherjee; Susan Hoban; Jianwu Wang 001; Daeho Jin; Aryya Gangopadhyay; Matthias K. Gobbert (Bench, 2018)

Sensor Data Based System-Level Anomaly Prediction for Smart Manufacturing. - Jianwu Wang 001; Chen Liu 007; Meiling Zhu; Pei Guo; Yapeng Hu (BigData Congress, 2018)

Location Precision Analysis of Constellation Drift Influence in TDOA Location System. - Shuai Liu; Yang Song; Pei Guo; Jing Meng; Mingxuan Wu (CSPS (2), 2018)

Pairwise Confusion for Fine-Grained Visual Classification. - Abhimanyu Dubey; Otkrist Gupta; Pei Guo; Ramesh Raskar; Ryan Farrell; Nikhil Naik 003 (ECCV (12), 2018)

Fine-grained Visual Categorization using PAIRS: Pose and Appearance Integration for Recognizing Subcategories. - Pei Guo; Ryan Farrell (CoRR, 2018)

Neural Network Interpretation via Fine Grained Textual Summarization. - Pei Guo; Connor Anderson 001; Kolten Pearson; Ryan Farrell (CoRR, 2018)

An Improved YOLOv2 for Vehicle Detection. - Jun Sang; Zhongyuan Wu; Pei Guo; Haibo Hu 002; Hong Xiang; Qian Zhang; Bin Cai (Sensors, 2018)

Winnability Prediction for IT Services Bids. - Pei Guo; Aly Megahed; Shubhi Asthana; Paul R. Messinger (SCC, 2019)

Parallel Gradient Boosting based Granger Causality Learning. - Pei Guo; Chen Liu 007; Yan Tang; Jianwu Wang 001 (IEEE BigData, 2019)

A Study on Automatic Power Control Method Applied in Astronaut Extravehicular Activity. - Yin Long; Pei Guo; Yusheng Yi (CSPS, 2019)

A Hybrid Approach to Tiger Re-Identification. - Ankita Shukla; Connor Anderson 001; Gullal Singh Cheema; Pei Guo; Suguru Onda; Divyam Anshumaan; Saket Anand; Ryan Farrell (ICCV Workshops, 2019)

Industry Research and Standardization Progress in Cellular Communication Solution for Unmanned Aerial Vehicle Application. - Pei Guo; Zhao Cheng (WISATS (2), 2019)

Aligned to the Object, Not to the Image: A Unified Pose-Aligned Representation for Fine-Grained Recognition. - Pei Guo; Ryan Farrell (WACV, 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)

A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data. - Ping Hou; Pei Guo; Peng Wu; Jianwu Wang 001; Aryya Gangopadhyay; Zhibo Zhang (SMARTCOMP, 2020)

Scalable and Hybrid Ensemble-Based Causality Discovery. - Pei Guo; Achuna Ofonedu; Jianwu Wang 001 (SMDS, 2020)

Large-Scale Causality Discovery Analytics as a Service. - Xin Wang 122; Pei Guo; Jianwu Wang 001 (IEEE BigData, 2021)

Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery. - Pei Guo; Yiyi Huang; Jianwu Wang 001 (Big Data Res., 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 001 (Frontiers Big Data, 2021)

Semantic Network Interpretation. - Pei Guo; Ryan Farrell (WACV (Workshops), 2022)

RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. - Pei Guo; Yisheng Xiao; Juntao Li; Min Zhang 005 (AAAI, 2023)

Isotropy-Enhanced Conditional Masked Language Models. - Pei Guo; Yisheng Xiao; Juntao Li; Yixin Ji; Min Zhang 005 (EMNLP (Findings), 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 005 (CoRR, 2023)

Reproducible and Portable Big Data Analytics in the Cloud. - Xin Wang 122; Pei Guo; Xingyan Li; Aryya Gangopadhyay; Carl E. Busart; Jade Freeman; Jianwu Wang 001 (IEEE Trans. Cloud Comput., 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., 2023)

Exploring Reversal Mathematical Reasoning Ability for Large Language Models. - Pei Guo; Wangjie You; Juntao Li; Bowen Yan; Min Zhang 005 (ACL (Findings), 2024)

Efficient Domain Adaptation for Non-Autoregressive Machine Translation. - Wangjie You; Pei Guo; Juntao Li; Kehai Chen; Min Zhang 005 (ACL (Findings), 2024)

Design and implementation of gymnasium venue reservation system based on SpringBoot and Vue framework. - Pei Guo; Zixin Zhang; Tong Wang (ICBAR, 2024)

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. - Dan Qiao; Yi Su 006; Pinzheng Wang; Jing Ye; Wenjing Xie; Yuechi Zhou; Yuyang Ding; Zecheng Tang; Jikai Wang; Yixin Ji; Yue Wang 039; Pei Guo; et al. (CoRR, 2024)

An Empirical Study of Iterative Refinements for Non-autoregressive Translation. - Yisheng Xiao; Pei Guo; Zechen Sun; Juntao Li; Kai Song; Min Zhang (ACL (1), 2025)

SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models. - Xinyi Zhao; Congjing Zhang; Pei Guo; Wei Li; Lin Chen; Chaoyue Zhao; Shuai Huang (CVPR Workshops, 2025)

DSRAG: A Double-Stream Retrieval-Augmented Generation Framework for Countless Intent Detection. - Pei Guo; Enjie Liu; Ruichao Zhong; Mochi Gao; Yunzhi Tan; Bo Hu; Zang Li (NAACL (Industry Track), 2025)

Research on evolution model of road network for self-driving truck in open-pit mine. - Hongze Zhao; Wen Zheng; Boqiang Qin; Zhen Ding; Guanghui Zhao; Pei Guo (Comput. Ind. Eng., 2025)

A Compact and Sensitive Metal-Capillary Fluorometer: Application to Online Monitoring Oil Spill. - Zhaolin Li; Pengcheng Sun; Hui Huang 002; Weicheng Cai; Xiaozheng Jiang; Pei Guo; Jianchao Fan; Shuo Zhang; Jing Chen; Jien Song; Huolin Huang (IEEE Trans. Instrum. Meas., 2025)

LMPNet for Weakly-supervised Keypoint Discovery. - Pei Guo; Ryan Farrell (CoRR, 2025)