Posts by Collection

Research Assistant and Research Mentor

Research Mentor, Northeastern University, Software College, 2020

I have served as a Research Assistant and Research Mentor at Northeastern University, supporting undergraduate students independent research projects. My responsibilities span instructional support, hands-on laboratory guidance, and one-on-one research mentoring, with a strong emphasis on programming, experimental methodology, and applied machine learning research.

Teaching Assitant

Undergraduate course, Louisiana State University, Computer Science and Engineering, 2021

As a experience Assistant in the Department of Computer Science and Engineering at Louisiana State University, I supported undergraduate instruction across core systems, programming, and machine learning courses. My responsibilities included grading programming assignments and exams, leading lab sessions, assisting students with hands-on coding projects, and providing technical guidance during office hours. I worked closely with course instructors to reinforce conceptual understanding and practical problem-solving skills.

Graduate Assistant and Research Mentor

Research Mentor, Louisiana State University, Computer Science and Engineer, 2025

I have served as a Graduate Assistant and Research Mentor at Louisiana State University, supporting undergraduate, master’s, and Ph.D. students across core computer science courses and independent research projects. My responsibilities span instructional support, hands-on laboratory guidance, and one-on-one research mentoring, with a strong emphasis on programming, experimental methodology, and applied machine learning research.

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

Xiaobing Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao

Published in IEEE International Conference on Communications (ICC), 2024

PDF | code

Joint Device and Training Scheduling for Wireless Federated Learning

Xiaobing Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao

Published in IEEE Internet of Things Journal, 2024

PDF | code

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

Wenqiang Zhang, Xiaobing Chen, Xiangwei Zhou, Jianhua Chen, Jianguo Yuan, Taibiao Zhao, Kehui Xu

Published in Journal of Marine Science and Engineering, 2024

PDF | code

Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs

Taibiao Zhao, Xiaobing Chen, Mingxuan Sun

Published in International Conference on Database Systems for Advanced Applications (DASFAA), 2025

PDF | code

MLTA-LLM: Multi-Level Text Alignment for Interpretable and Uncertainty-Aware Time Series Forecasting with LLMs

Taibiao Zhao, Xiaobing Chen, Mingxuan Sun, Zhong Chen, Victor Sheng

Published in ACM Transactions on Knowledge Discovery from Data, 2025

PDF | code

Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models

Taibiao Zhao, Mingxuan Sun, Hao Wang, Xiangwei Zhou, Xiaobing Chen, Xugui Zhou

Published in arxiv preprint, 2025

PDF | code

Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems

Taibiao Zhao, Xiang Zhang, Ruyi Ding, Xugui Zhou, Mingxuan Sun

Underreview in Design Automation Conference, 2025

PDF | code

Service

Conference

Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs

Published: May 02, 2025

More information here Taibiao shared “Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs”, combining natural language processing and time series data to improve both prediction and interpretability.