Published in IEEE Internet of Things Journal, 2025
This paper introduces a LLM-based method to detect software defects.
Recommended citation: H. Yang, Y. Zhou, T. Liang and L. Kuang, "ChatDL: An LLM-Based Defect Localization Approach for Software in IIoT Flexible Manufacturing," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3531512.
Published in 32nd IEEE/ACM Internatioanl Conference on Program Comprehension, 2024
This paper introduces a novel solution to the AST-level code completion task by utilizing Graph Retrieval and Multi-Field Attention techniques.
Recommended citation: Xia, Y., Liang, T., Min, W., & Kuang, L. (2024, April). Improving AST-Level Code Completion with Graph Retrieval and Multi-Field Attention. In Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension (pp. 125-136).
Download Paper
Published in Computer Communications, 2023
This paper proposes a novel approach to the code completion task by generating code skeletons and leveraging attention mechanisms.
Recommended citation: Xia, Y., Liang, T., Min, W., Kuang, L., & Gao, H. (2023). Enhancing intelligent IoT services development by integrated multi-token code completion. Computer Communications, 212, 313-323.
Download Paper
Published in Corfu Holiday Palace, Corfu Island, Greece, 2023
This paper proposes a time-series-based model for predicting traffic flow conditions in urban areas.
Recommended citation: Chang, J., Liang, T., Xiao, W., & Kuang, L. (2023, October). Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework. In International Conference on Collaborative Computing: Networking, Applications and Worksharing (pp. 131-150). Cham: Springer Nature Switzerland.
Download Paper | Download Slides