CV | Xiaobing Chen

Education

• Ph.D. in Electrical Engineering, Louisiana State University, Feb. 2021 – Aug. 2025
  • Advisor: Prof. Xiangwei Zhou
• M.E. in Control Science and Engineering, University of Electronic Science and Technology of China, Sept. 2017 – June 2020
  • Advisor: Prof. Wenfeng Zheng
• B.E. in Electronic Information Engineering, University of Electronic Science and Technology of China, Sept. 2013 – June 2017

Research Interests

• Collaborative Intelligence: Federated Learning, Distributed Optimization, Game Theory.
• Foundation Models: Large Language Models (LLMs), Multi-Modal Alignment (Text/Time-Series/Vision).
• System Optimization: Resource-Aware AI, IoT, Wireless Communication, Scheduling.
• Learning Paradigms: Self-supervised Learning, Contrastive Learning, Meta-Learning.

Professional Experience

• Research Scientist, Meta Platforms Inc., June 2025 – Present
  • Menlo Park, United States
• Research Assistant, Louisiana State University, Feb. 2021 – May 2025
  • Baton Rouge, United States
• Algorithm Engineer, BBD. Tech Inc., Aug. 2020 – Dec. 2020
  • Chengdu, China
• Research Assistant, University of Electronic Science and Technology of China, Sept. 2017 – June 2020
  • Chengdu, China
• Software Development Engineer, Jingyinghui Intelligent Technology Co., Ltd., Dec. 2014 – Sept. 2017
  • Chengdu, China

Honors and Rewards

• IEEE International Conference on Communications ComSoc Student Grant (2024)
• Graduate Student Association Travel Award (2023)
• Mark and Carolyn Guidry Doctoral Scholarship (2023)
• First-Class Scholarship for Academic Excellence (2020)
• Excellent Graduate Scholarship (2018)
• Innovation and Entrepreneurship Grant (2017)
• National Encouragement Scholarship (2015)

Professional Services

• Technical Committee Member: IEEE VTC 2022
• Conference Reviewer: IEEE INFOCOM, IEEE VTC, ACM SIGKDD, ACM WSDM
• Journal Reviewer: IEEE JSAC, IEEE TNNLS, IEEE TAI, IEEE Sensors Journal, Security and Safety

Publications

Temporal contrastive learning for sensor-based human activity recognition: a self-supervised approach

X. Chen, Xiangwei Zhou, Mingxuan Sun, Hao Wang, "Temporal contrastive learning for sensor-based human activity recognition: a self-supervised approach." IEEE Sensors Journal, vol. 25, no. 1, pp. 1839-1850, 2025.

Joint Device and Training Scheduling for Wireless Federated Learning

X. Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao, "Joint Device and Training Scheduling for Wireless Federated Learning." IEEE Internet of Things Journal, 2025 (Early Access).

Enhancing Time Series Forecasting via Multi-Level Text Alignment with Large Language Models

Taibiao Zhao, X. Chen, Mingxuan Sun, "Enhancing Time Series Forecasting via Multi-Level Text Alignment with Large Language Models." In the proceedings of The 30th International Conference on Database Systems for Advanced Applications, 2025.

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game

X. Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun, "DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game." In the proceedings of AAAI Conference on Artificial Intelligence, 2025.

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation.

Jiawei Tian, Yu Zhou, X. Chen, Salman AlQahtani, Hongrong Chen, Bo Yang, Siyu Lu, Wenfeng Zheng, "A Novel Self-Supervised Learning Network for Binocular Disparity Estimation.." CMES-Computer Modeling in Engineering & Sciences, 2025.

PARALLEL PLATFORM CONTROLLER BASED ON ADAPTIVE DIFFERENCE ALGORITHM–PART 2

RUIYANG WANG, QIUXIANG GU, SIYU LU, JIAWEI TIAN, ZHENGTONG YIN, XIAOLU LI, X. CHEN, LIRONG YIN, WENFENG ZHENG, "PARALLEL PLATFORM CONTROLLER BASED ON ADAPTIVE DIFFERENCE ALGORITHM--PART 2." REVUE ROUMAINE DES SCIENCES TECHNIQUES—S'ERIE 'ELECTROTECHNIQUE ET 'ENERG'ETIQUE, 2024.

PARALLEL PLATFORM CONTROLLER BASED ON ADAPTIVE DIFFERENCE ALGORITHM–PART 1

RUIYANG WANG, QIUXIANG GU, SIYU LU, JIAWEI TIAN, ZHENGTONG YIN, XIAOLU LI, X. CHEN, LIRONG YIN, WENFENG ZHENG, "PARALLEL PLATFORM CONTROLLER BASED ON ADAPTIVE DIFFERENCE ALGORITHM--PART 1." REVUE ROUMAINE DES SCIENCES TECHNIQUES—S'ERIE 'ELECTROTECHNIQUE ET 'ENERG'ETIQUE, 2024.

Dynamic Multi-Granularity Translation System: DAG-Structured Multi-Granularity Representation and Self-Attention

Shenrong Lv, Bo Yang, Ruiyang Wang, Siyu Lu, Jiawei Tian, Wenfeng Zheng, X. Chen, Lirong Yin, "Dynamic Multi-Granularity Translation System: DAG-Structured Multi-Granularity Representation and Self-Attention." Systems, vol. 12, no. 10, pp. 420, 2024.

Deep Learning-Based Geomorphic Feature Identification in Dredge Pit Marine Environment

Wenqiang Zhang, X. Chen, Xiangwei Zhou, Jianhua Chen, Jianguo Yuan, Taibiao Zhao, Kehui Xu, "Deep Learning-Based Geomorphic Feature Identification in Dredge Pit Marine Environment." Journal of Marine Science and Engineering, vol. 12, no. 7, pp. 1091, 2024.

DPAL-BERT: A Faster and Lighter Question Answering Model.

Lirong Yin, Lei Wang, Zhuohang Cai, Siyu Lu, Ruiyang Wang, Ahmed AlSanad, Salman AlQahtani, X. Chen, Zhengtong Yin, Xiaolu Li, Wenfeng Zheng, "DPAL-BERT: A Faster and Lighter Question Answering Model.." CMES-Computer Modeling in Engineering & Sciences, 2024.

Cost-Effective Federated Learning: A Unified Approach to Device and Training Scheduling

X. Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao, "Cost-Effective Federated Learning: A Unified Approach to Device and Training Scheduling." In the proceedings of IEEE International Conference on Communications, 2024.

Convolution-Transformer for Image Feature Extraction.

Lirong Yin, Lei Wang, Siyu Lu, Ruiyang Wang, Youshuai Yang, Bo Yang, Shan Liu, Ahmed AlSanad, Salman AlQahtani, Zhengtong Yin, Xiaolu Li, X. Chen, Wenfeng Zheng, "Convolution-Transformer for Image Feature Extraction.." CMES-Computer Modeling in Engineering & Sciences, 2024.

Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity

X. Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, H. Vincent Poor, "Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity." IEEE Internet of Things Journal, 2024.

CGBi_YOLO: Lightweight Land Target Detection Network

Ruiyang Wang, Siyu Lu, Jiawei Tian, Lirong Yin, Lei Wang, X. Chen, Wenfeng Zheng, "CGBi_YOLO: Lightweight Land Target Detection Network." Land, vol. 13, no. 12, pp. 2060, 2024.

A novel knowledge base construction method based on image recognition

W. Zheng, B. Yang, X. Chen, S. Liu, Q. Zeng, "A novel knowledge base construction method based on image recognition." China Patent, 2021.

Knowledge base graph embedding module design for Visual question answering model

Wenfeng Zheng, Lirong Yin, X. Chen, Zhiyang Ma, Shan Liu, Bo Yang, "Knowledge base graph embedding module design for Visual question answering model." Pattern Recognition, 2021.

Joint embedding VQA model based on dynamic word vector

Zhiyang Ma, Wenfeng Zheng, X. Chen, Lirong Yin, "Joint embedding VQA model based on dynamic word vector." PeerJ Computer Science, 2021.

Temporal evolution characteristics of PM2.5 concentration based on continuous wavelet transform

X. Chen, Lirong Yin, Yulin Fan, Lihong Song, Tingting Ji, Yan Liu, Jiawei Tian, Wenfeng Zheng, "Temporal evolution characteristics of PM2.5 concentration based on continuous wavelet transform." Science of The Total Environment, 2020.

Semantic representation for visual reasoning

Xubin Ni, Lirong Yin, X. Chen, Shan Liu, Bo Yang, Wenfeng Zheng, "Semantic representation for visual reasoning." In the proceedings of MATEC web of conferences, 2019.

Multi-scale relation network for few-shot learning based on meta-learning

Yueming Ding, Xia Tian, Lirong Yin, X. Chen, Shan Liu, Bo Yang, Wenfeng Zheng, "Multi-scale relation network for few-shot learning based on meta-learning." In the proceedings of International Conference on Computer Vision Systems, 2019.