Zijian Guo

According to our database, Zijian Guo authored at least 35 papers between 2007 and 2024.

Collaborative distances:

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

2024

Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning.

Zijian Guo, Weichao Zhou, Wenchao Li

CoRR, 2024

2023

Research on safety and efficiency warranted vessel scheduling in unidirectional multi-junction waterways of port waters.

Zicheng Xia, Tao Feng, Zijian Guo, Ying Jiang, Wenyuan Wang

Comput. Ind. Eng., June, 2023

A Cloud Identification Method Based on Spectral and Textural Characteristics of Oxygen A Band in TROPOMI Imagery.

Zijian Guo, Siwei Li, Jie Yang, Ge Song, Mengfan Teng

IEEE Trans. Geosci. Remote. Sens., 2023

Distributionally Robust Transfer Learning.

Xin Xiong, Zijian Guo, Tianxi Cai

CoRR, 2023

Distributionally Robust Machine Learning with Multi-source Data.

Zhenyu Wang, Peter Bühlmann, Zijian Guo

CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, 2023

Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE.

Yucheng Xu, Nanbo Li, Arushi Goel, Zijian Guo, Zonghai Yao, Hamidreza Kasaei, Mohammadreza Kasaei, Zhibin Li

CoRR, 2023

Engagement Recognition in Online Learning Based on an Improved Video Vision Transformer.

Zijian Guo, Zhuoyi Zhou, Jiahui Pan, Yan Liang

Proceedings of the International Joint Conference on Neural Networks, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao

Proceedings of the International Conference on Machine Learning, 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations.

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 2022

A Vector Field Approach to Estimating Environmental Exposure Using Human Activity Data.

Zijian Guo, Xintao Liu, Pengxiang Zhao

ISPRS Int. J. Geo Inf., 2022

Video-Based Emotion Recognition in the Wild for Online Education Systems.

Genting Mai, Zijian Guo, Yicong She, Hongni Wang, Yan Liang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

2021

Inference for the Case Probability in High-dimensional Logistic Regression.

Zijian Guo, Prabrisha Rakshit, Daniel S. Herman, Jinbo Chen

J. Mach. Learn. Res., 2021

Adaptive diagnosis of DC motors using R-WDCNN classifiers based on VMD-SVD.

Huabin Qin, Mingliang Liu, Jian Wang, Zijian Guo, Junbo Liu

Appl. Intell., 2021

2020

An Unsupervised Fault-Detection Method for Railway Turnouts.

Zijian Guo, Yiming Wan, Hao Ye

IEEE Trans. Instrum. Meas., 2020

Simulation research on the influence of special ships on waterway through capacity for a complex waterway system: a case study for the Port of Meizhou Bay.

Jianping Shang, Wenyuan Wang, Yun Peng, Qi Tian, Ying Tang, Zijian Guo

Simul., 2020

A New Fault Diagnosis Classifier for Rolling Bearing United Multi-Scale Permutation Entropy Optimize VMD and Cuckoo Search SVM.

Zijian Guo, Mingliang Liu, Yunxia Wang, Huabin Qin

IEEE Access, 2020

An enhanced fault detection method for railway turnouts incorporating prior faulty information.

Zijian Guo, Hao Ye, Ming Jiang, Xinya Sun

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Automatic Online Partial Discharge Diagnosis via Deep Learning.

Weicong Kong, Kun Men, Zijian Guo, Zhao Yang Dong, Rui Zhang, Youwei Jia

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Effects of block lengths and stacking policies on overall performance at non-transshipment container terminals.

Xuhui Yu, Guolei Tang, Zijian Guo, Xiangqun Song

Simul., 2019

A data imputation method for multivariate time series based on generative adversarial network.

Zijian Guo, Yiming Wan, Hao Ye

Neurocomputing, 2019

Mechanical Fault Diagnosis of a DC Motor Utilizing United Variational Mode Decomposition, SampEn, and Random Forest-SPRINT Algorithm Classifiers.

Zijian Guo, Mingliang Liu, Huabin Qin, Bing Li

Entropy, 2019

2018

Mechanical Fault Diagnosis of High Voltage Circuit Breakers Utilizing EWT-Improved Time Frequency Entropy and Optimal GRNN Classifier.

Bing Li, Mingliang Liu, Zijian Guo, Yamin Ji

Entropy, 2018

A Fault Detection Method for Railway Point Machine Operations Based On Stacked Autoencoders.

Zijian Guo, Hao Ye, Wei Dong, Xiang Yan, Yindong Ji

Proceedings of the 24th International Conference on Automation and Computing, 2018

Application of EWT and PSO-SVM in Fault Diagnosis of HV Circuit Breakers.

Bing Li, Mingliang Liu, Zijian Guo, Yamin Ji

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

2017

Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN.

Jiyang Gao, Zijian Guo, Zhen Li, Ram Nevatia

CoRR, 2017

2016

Control Function Instrumental Variable Estimation of Nonlinear Causal Effect Models.

Zijian Guo, Dylan S. Small

J. Mach. Learn. Res., 2016

2014

Simulation-based optimization for generating the dimensions of a dredged coastal entrance channel.

Guolei Tang, Wenyuan Wang, Zijian Guo, Xuhui Yu, Bingchang Wang

Simul., 2014

2011

A recursive model for static empty container allocation.

Zijian Guo, Wenyuan Wang, Guolei Tang, Jun Huang

Frontiers Comput. Sci. China, 2011

2010

Dynamic robustness analysis of container marine transportation network using improved ACO approach.

Guolei Tang, Zijian Guo, Xiangqun Song, Wenyuan Wang, Ningning Li

Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010

The application of variable fuzzy sets theory in coastal waterway selection.

Guolei Tang, Xiangqun Song, Zijian Guo, Wenyuan Wang, Ningning Li

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2008

An Efficient Immune Algorithm for Container Marine Transport.

Jun Huang, Zijian Guo, Xiangqun Song

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

An optimization model for container transportation network with ACO approach.

Boxin Fu, Xiangqun Song, Zijian Guo, Peng Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007