Publications

You can also find my articles on my Google Scholar. Name marked with # implies that I am co-first author, * implies that I am the corresponding author.

2022

• (TSE) Shangqing Liu, Xiaofei Xie, Jingkai Siow, Lei Ma, Guozhu Meng, Yang Liu. GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. In IEEE Transactions on Software Engineering.
• (SANER 2023) Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu. Learning Program Representations with a Tree-Structured Transformer. In Proceedings of the 30th IEEE International Conference on Software Analysis, Evolution and Reengineering.
• (ICSE 2023) Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu. ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. In Proceedings of the 45th IEEE/ACM International Conference on Software Engineering.
• (ASE 2022) Xueyang Li, Shangqing Liu#, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu. TransRepair: Context-aware Program Repair for Compilation Errors. In Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
• (TDSC) Bozhi Wu, Shangqing Liu*, Ruitao Feng, Xiaofei Xie, Jingkai Siow, Shang-Wei Lin. Enhancing Security Patch Identification by Capturing Structures in Commits. In Transactions on Dependable and Secure Computing.

2021

• (SANER 2022) Jingkai Siow, Shangqing Liu#, Xiaofei Xie, Guozhu Meng, Yang Liu. Learning Program Semantics with Code Representations: An Empirical Study. In Proceedings of the 29th IEEE International Conference on Software Analysis, Evolution and Reengineering.
• (TOSEM) Yaqin Zhou, Jingkai Siow, Chenyu Wang, Shangqing Liu, Yang Liu. SPI: Automated Identification of Security Patches via Commits. In ACM Transactions on Software Engineering and Methodology.
• (ICLR 2021) Shangqing Liu, Yu Chen, Xiaofei Xie, Jingkai Siow and Yang Liu. Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. In Proceedings of the 9th International Conference on Learning Representations (spotlight).

2020

• (TSE) Shangqing Liu, Cuiyun Gao, Sen Chen, Nie Lun Yiu, Yang Liu. ATOM: Commit message generation based on abstract syntax tree and hybrid ranking. In IEEE Transactions on Software Engineering.
• (ASE Student Competition 2020) Shangqing Liu. A Unified Framework to Learn Program Semantics with Graph Neural Networks. In Proceedings of 2020 35th IEEE/ACM International Conference on Automated Software Engineering.
• (IoTJ) Yanchao Zhao, Ran Gao, Shangqing Liu, Lei Xie, Jie Wu, Huawei Tu, Bing Chen. Device-Free Secure Interaction with Hand Gestures in WiFi-enabled IoT Environment. In IEEE Internet of Things Journal.
• (JSEP) Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu. Do different cross‐project defect prediction methods identify the same defective modules? In Journal of Software: Evolution and Process.

2019

• (NeurIPs 2019) Yanqin Zhou, Shangqing Liu*, Jingkai Siow, Xiaoning Du, Yang Liu. Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks. In Proceedings of the Thirty-three Conference on Neural Information Processing Systems.
• (JCIN) Yanchao Zhao, Shangqing Liu, Bing Chen, Xiang Chen. DeepCount: Crowd Counting with Wi-Fi Using Deep Learning. In Journal of Communications and Information Networks.

2017

• (ISPA 2017) Shangqing Liu, Yanchao Zhao, Bing Chen. WiCount: A deep learning approach for crowd counting using WiFi signals. In Proceedings of 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications.
• (ICCCS 2017) Shangqing Liu, Yanchao Zhao, Bing Chen. WiSmart: Robust human access and identification for smart homes using WiFi signals. In Proceedings of International Conference on Cloud Computing and Security.