Guoxi Zhang

According to our database, Guoxi Zhang authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Learning state importance for preference-based reinforcement learning.

Guoxi Zhang, Hisashi Kashima

Mach. Learn., April, 2024

SYNERGAI: Perception Alignment for Human-Robot Collaboration.

Yixin Chen, Guoxi Zhang, Yaowei Zhang, Hongming Xu, Peiyuan Zhi, Qing Li, Siyuan Huang

CoRR, 2024

INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with Language Explanations.

Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li

CoRR, 2024

Online Policy Learning from Offline Preferences.

Guoxi Zhang, Han Bao, Hisashi Kashima

CoRR, 2024

VickreyFeedback: Cost-Efficient Data Construction for Reinforcement Learning from Human Feedback.

Guoxi Zhang, Jiuding Duan

Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Treatment Effect Estimation Under Unknown Interference.

Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations.

Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On Modeling Long-Term User Engagement from Stochastic Feedback.

Guoxi Zhang, Xing Yao, Xuanji Xiao

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Estimating Treatment Effects Under Heterogeneous Interference.

Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning.

Guoxi Zhang, Hisashi Kashima

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

2022

Batch Reinforcement Learning from Crowds.

Guoxi Zhang, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Double-Channel Multi-layer Information Fusion for Text Matching.

Guoxi Zhang, Yongquan Dong, Huafeng Chen

Proceedings of the Intelligent Information Processing XI, 2022

Optimized Client-side Detection of Model Poisoning Attacks in Federated learning.

Guoxi Zhang, Jiangang Shu, Xiaohua Jia

Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Improving Pairwise Rank Aggregation via Querying for Rank Difference.

Guoxi Zhang, Jiyi Li, Hisashi Kashima

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2020

A Second-Order Dual Mode Repetitive Control for Magnetically Suspended Rotor.

Peiling Cui, Guoxi Zhang, Zhiyuan Liu, Bangcheng Han, Qirui Wang

IEEE Trans. Ind. Electron., 2020

2019

Modified Repetitive Control for Odd-Harmonic Current Suppression in Magnetically Suspended Rotor Systems.

Peiling Cui, Guoxi Zhang

IEEE Trans. Ind. Electron., 2019

Robust Odd Repetitive Controller for Magnetically Suspended Rotor System.

Peiling Cui, Dong Han, Guoxi Zhang, Zhiyuan Liu, Bangcheng Han

IEEE Trans. Ind. Electron., 2019

A Novel Second Order Repetitive Control That Facilitates Stability Analysis and its Application to Magnetically Suspended Rotors.

Peiling Cui, Zhiyuan Liu, Guoxi Zhang, Han Xu, Richard W. Longman

IEEE Access, 2019

2018

Hybrid Fractional Repetitive Control for Magnetically Suspended Rotor Systems.

Peiling Cui, Qirui Wang, Guoxi Zhang, Qian Gao

IEEE Trans. Ind. Electron., 2018

On Reducing Dimensionality of Labeled Data Efficiently.

Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Robust Multi-view Topic Modeling by Incorporating Detecting Anomalies.

Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017