Xiaoyang Wang

According to our database, Xiaoyang Wang authored at least 25 papers between 2017 and 2026.

Collaborative distances:

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

2026

A Flexible and Scalable Multi-Agent Learning Framework for Dynamic RAN Slicing in 6G Native-AI Networks.

Yuanhao Li, Haozhe Wang, Geyong Min, Xiaoyang Wang, Chao Wang

IEEE Trans. Mob. Comput., May, 2026

MAD3PG: A framework for multi-agent deep denoising diffusion policy gradient optimization.

Shan Zhong, Gang Wang, Jingkui Zhang, Xiaoyang Wang, Kah Chan Teh, He Diao, Ping Zhang, Jiacheng He, Zhi Zeng, Tee Hiang Cheng, Bei Peng

Inf. Fusion, 2026

A three-stage model for infrared small target detection with spatial and semantic feature fusion.

Sixiang Ji, Haofei Zhang, Jingmin Zhang, Chun Fei, Xiaoyang Wang, Juanxiu Liu, Ping Zhang

Expert Syst. Appl., 2026

xApp distillation: AI-based conflict mitigation in B5G O-RAN.

Hakan Erdol, Xiaoyang Wang, Robert J. Piechocki, George Oikonomou, Arjun Parekh

Comput. Networks, 2026

2025

Evaluating Inductive Reasoning and Programming Capabilities of Large Language Models With The One-Dimensional Abstract Reasoning Corpus.

Cédric S. Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna

Intelligenza Artificiale, 2025

Coordinate-aware thermal infrared tracking via natural language modeling.

Miao Yan, Ping Zhang, Haofei Zhang, Ruqian Hao, Juanxiu Liu, Xiaoyang Wang, Lin Liu

Expert Syst. Appl., 2025

2024

Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks.

Mohammud Junaid Bocus, Xiaoyang Wang, Robert J. Piechocki

IEEE Trans. Cogn. Commun. Netw., February, 2024

Evaluating Inductive Reasoning Capabilities of Large Language Models With The One Dimensional Abstract Reasoning Corpus.

Cédric Mesnage, Xiaoyang Wang, Hang Dong, Aishwaryaprajna

Proceedings of the Hybrid Models for Coupling Deductive and Inductive Reasoning, 2024

2022

Multimodal sensor fusion in the latent representation space.

Robert J. Piechocki, Xiaoyang Wang, Mohammud Junaid Bocus

CoRR, 2022

Sim2real for Reinforcement Learning Driven Next Generation Networks.

Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki

CoRR, 2022

Self-play learning strategies for resource assignment in Open-RAN networks.

Xiaoyang Wang, Jonathan D. Thomas, Robert J. Piechocki, Shipra Kapoor, Raúl Santos-Rodríguez, Arjun Parekh

Comput. Networks, 2022

RLOps: Development Life-Cycle of Reinforcement Learning Aided Open RAN.

Peizheng Li, Jonathan D. Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert J. Piechocki

IEEE Access, 2022

Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning.

Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert J. Piechocki, Abdelrahim Kasem Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh

Proceedings of the 96th Vehicular Technology Conference, 2022

Federated Meta-Learning for Traffic Steering in O-RAN.

Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert J. Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Kasem Ahmad, Keith Briggs, Shipra Kapoor

Proceedings of the 96th Vehicular Technology Conference, 2022

Variational Autoencoder Assisted Neural Network Likelihood RSRP Prediction Model.

Peizheng Li, Xiaoyang Wang, Robert J. Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh

Proceedings of the 2022 IEEE 33rd Annual International Symposium on Personal, 2022

2021

Edge and Corner Awareness-Based Spatial-Temporal Tensor Model for Infrared Small-Target Detection.

Ping Zhang, Lingyi Zhang, Xiaoyang Wang, Fengcan Shen, Tian Pu, Chun Fei

IEEE Trans. Geosci. Remote. Sens., 2021

2020

Stereoscopic video saliency detection based on spatiotemporal correlation and depth confidence optimization.

Ping Zhang, Jingwen Liu, Xiaoyang Wang, Tian Pu, Chun Fei, Zhengkui Guo

Neurocomputing, 2020

2019

Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing.

Suqi Huang, Zhenming Peng, Zhuoran Wang, Xiaoyang Wang, Meihui Li

IEEE Geosci. Remote. Sens. Lett., 2019

A novel reverse sparse model utilizing the spatio-temporal relationship of target templates for object tracking.

Meihui Li, Zhenming Peng, Yingpin Chen, Xiaoyang Wang, Lingbing Peng, Zhuoran Wang, Guohui Yuan, Yanmin He

Neurocomputing, 2019

Infrared Small Target Detection Based on Spatial-Temporal Enhancement Using Quaternion Discrete Cosine Transform.

Ping Zhang, Xiaowei Wang, Xiaoyang Wang, Chun Fei, Zhengkui Guo

IEEE Access, 2019

Location Anomalies Detection for Connected and Autonomous Vehicles.

Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raúl Santos-Rodríguez, Robert J. Piechocki

Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2017

Infrared Dim and Small Target Detection Based on Stable Multisubspace Learning in Heterogeneous Scene.

Xiaoyang Wang, Zhenming Peng, Dehui Kong, Yanmin He

IEEE Trans. Geosci. Remote. Sens., 2017

Matching Pursuit-Based Sliced Wigner Higher Order Spectral Analysis for Seismic Signals.

Yuqing Wang, Zhenming Peng, Xiaoyang Wang, Yanmin He

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Infrared Small Target Detection via Nonnegativity-Constrained Variational Mode Decomposition.

Xiaoyang Wang, Zhenming Peng, Ping Zhang, Yanmin He

IEEE Geosci. Remote. Sens. Lett., 2017

Infrared dim target detection based on total variation regularization and principal component pursuit.

Xiaoyang Wang, Zhenming Peng, Dehui Kong, Ping Zhang, Yanmin He

Image Vis. Comput., 2017