WiSmart : Robust Human Access and Identification for Smart Homes Using WiFi Signals. - Shangqing Liu; Yanchao Zhao; Bing Chen 002 (ICCCS (2), 2017)

WiCount: A Deep Learning Approach for Crowd Counting Using WiFi Signals. - Shangqing Liu; Yanchao Zhao; Bing Chen 002 (ISPA/IUCC, 2017)

Hospital Bed Planning in a Single Department Based on Monte Carlo Simulation and Queuing Theory. - Ke Wu; Xiaomin Zhu; Runtong Zhang; Shangqing Liu (IEEM, 2019)

Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. - Yaqin Zhou; Shangqing Liu; Jing Kai Siow; Xiaoning Du 001; Yang Liu 003 (NeurIPS, 2019)

DeepCount: Crowd Counting with WiFi via Deep Learning. - Shangqing Liu; Yanchao Zhao; Fanggang Xue; Bing Chen 002; Xiang Chen 004 (CoRR, 2019)

DeepCount: Crowd Counting with Wi-Fi using Deep Learning. - Yanchao Zhao; Shangqing Liu; Fanggang Xue; Bing Chen 002; Xiang Chen 004 (J. Commun. Inf. Networks, 2019)

A Unified Framework to Learn Program Semantics with Graph Neural Networks. - Shangqing Liu (ASE, 2020)

Automatic Pancreas Segmentation via Coarse Location and Ensemble Learning. - Shangqing Liu; Xinrui Yuan; Runyue Hu; Shujun Liang; Shaohua Feng; Yuhua Ai; Yu Zhang 064 (IEEE Access, 2020)

Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN. - Shangqing Liu; Yu Chen; Xiaofei Xie; Jing Kai Siow; Yang Liu 003 (CoRR, 2020)

Do different cross-project defect prediction methods identify the same defective modules? - Xiang Chen 005; Yanzhou Mu; Yubin Qu; Chao Ni 001; Meng Liu; Tong He; Shangqing Liu (J. Softw. Evol. Process., 2020)

Retrieval-Augmented Generation for Code Summarization via Hybrid GNN. - Shangqing Liu; Yu Chen; Xiaofei Xie; Jing Kai Siow; Yang Liu 003 (ICLR, 2021)

GraphSearchNet: Enhancing GNNs via Capturing Global Dependency for Semantic Code Search. - Shangqing Liu; Xiaofei Xie; Lei Ma 003; Jing Kai Siow; Yang Liu 003 (CoRR, 2021)

Device-Free Secure Interaction With Hand Gestures in WiFi-Enabled IoT Environment. - Yanchao Zhao; Ran Gao; Shangqing Liu; Lei Xie 004; Jie Wu 001; Huawei Tu; Bing Chen 002 (IEEE Internet Things J., 2021)

ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior. - Mengmeng Ge; Xiangzhan Yu; Vinay Mysore Sachidananda; Shangqing Liu; Likun Liu (ICDM (Workshops), 2022)

TransRepair: Context-aware Program Repair for Compilation Errors. - Xueyang Li; Shangqing Liu; Ruitao Feng; Guozhu Meng; Xiaofei Xie; Kai Chen 012; Yang Liu 003 (ASE, 2022)

Learning Program Semantics with Code Representations: An Empirical Study. - Jing Kai Siow; Shangqing Liu; Xiaofei Xie; Guozhu Meng; Yang Liu 003 (SANER, 2022)

Enhancing Security Patch Identification by Capturing Structures in Commits. - Bozhi Wu; Shangqing Liu; Ruitao Feng; Xiaofei Xie; Jing Kai Siow; Shang-Wei Lin 001 (CoRR, 2022)

CommitBART: A Large Pre-trained Model for GitHub Commits. - Shangqing Liu; Yanzhou Li; Yang Liu 003 (CoRR, 2022)

A Tree-structured Transformer for Program Representation Learning. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Zhi Jin; Yang Liu 003 (CoRR, 2022)

Is Self-Attention Powerful to Learn Code Syntax and Semantics? - Wei Ma; Mengjie Zhao; Xiaofei Xie; Qiang Hu; Shangqing Liu; Jie Zhang 050; Wenhan Wang; Yang Liu 003 (CoRR, 2022)

AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem? - Jun Ma 016; Yao Zhang 010; Song Gu; Cheng Zhu; Cheng Ge; Yichi Zhang 007; Xingle An; Congcong Wang; Qiyuan Wang; Xin Liu; Shucheng Cao; Qi Zhang 059; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SPI: Automated Identification of Security Patches via Commits. - Yaqin Zhou; Jing Kai Siow; Chenyu Wang; Shangqing Liu; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2022)

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking. - Shangqing Liu; Cuiyun Gao 001; Sen Chen 001; Lun Yiu Nie; Yang Liu 003 (IEEE Trans. Software Eng., 2022)

Learning program semantics via exploring program structures with deep learning - Shangqing Liu (2022)

Multi-target Backdoor Attacks for Code Pre-trained Models. - Yanzhou Li; Shangqing Liu; Kangjie Chen; Xiaofei Xie; Tianwei Zhang 004; Yang Liu 003 (ACL (1), 2023)

A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. - Jie Zhang 050; Wei Ma; Qiang Hu; Shangqing Liu; Xiaofei Xie; Yves Le Traon; Yang Liu 003 (EMNLP (Findings), 2023)

ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. - Shangqing Liu; Bozhi Wu; Xiaofei Xie; Guozhu Meng; Yang Liu 003 (ICSE, 2023)

Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases. - Ze Tang 002; Jidong Ge; Shangqing Liu; Tingwei Zhu; Tongtong Xu; Liguo Huang; Bin Luo 003 (ASE, 2023)

Learning to Locate and Describe Vulnerabilities. - Jian Zhang 087; Shangqing Liu; Xu Wang 007; Tianlin Li; Yang Liu 003 (ASE, 2023)

Learning Program Semantics for Vulnerability Detection via Vulnerability-Specific Inter-procedural Slicing. - Bozhi Wu; Shangqing Liu; Yang Xiao 011; Zhiming Li; Jun Sun 001; Shang-Wei Lin 001 (ESEC/SIGSOFT FSE, 2023)

Learning Program Representations with a Tree-Structured Transformer. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Anran Li 001; Zhi Jin; Yang Liu 003 (SANER, 2023)

Evaluating AIGC Detectors on Code Content. - Jian Wang 067; Shangqing Liu; Xiaofei Xie; Yi Li 008 (CoRR, 2023)

The Scope of ChatGPT in Software Engineering: A Thorough Investigation. - Wei Ma; Shangqing Liu; Wenhan Wang; Qiang Hu; Ye Liu; Cen Zhang; Liming Nie; Yang Liu 003 (CoRR, 2023)

GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. - Shangqing Liu; Xiaofei Xie; Jing Kai Siow; Lei Ma 003; Guozhu Meng; Yang Liu 003 (IEEE Trans. Software Eng., 2023)

BadEdit: Backdooring Large Language Models by Model Editing. - Yanzhou Li; Tianlin Li; Kangjie Chen; Jian Zhang 087; Shangqing Liu; Wenhan Wang; Tianwei Zhang 004; Yang Liu 003 (ICLR, 2024)

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. - Qi Guo; Junming Cao; Xiaofei Xie; Shangqing Liu; Xiaohong Li 001; Bihuan Chen 001; Xin Peng 001 (ICSE, 2024)

Ratchet: Retrieval Augmented Transformer for Program Repair. - Jian Wang 067; Shangqing Liu; Xiaofei Xie; Jingkai Siow; Kui Liu; Yi Li 008 (ISSRE, 2024)

FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. - Qi Guo; Xiaohong Li 001; Xiaofei Xie; Shangqing Liu; Ze Tang 002; Ruitao Feng; Junjie Wang 007; Jidong Ge; Lei Bu (ISSTA, 2024)

An Empirical Study to Evaluate AIGC Detectors on Code Content. - Jian Wang 067; Shangqing Liu; Xiaofei Xie; Yi Li 008 (ASE, 2024)

Attribution-guided Adversarial Code Prompt Generation for Code Completion Models. - Xueyang Li; Guozhu Meng; Shangqing Liu; Lu Xiang; Kun Sun; Kai Chen 012; Xiapu Luo; Yang Liu 003 (ASE, 2024)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation. - Shangqing Liu; Wei Ma; Jian Wang 067; Xiaofei Xie; Ruitao Feng; Yang Liu 003 (LCTES, 2024)

ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs. - Jiaolong Kong; Mingfei Cheng; Xiaofei Xie; Shangqing Liu; Xiaoning Du 001; Qi Guo (CoRR, 2024)

SpecEval: Evaluating Code Comprehension in Large Language Models via Program Specifications. - Lezhi Ma; Shangqing Liu; Lei Bu; Shangru Li; Yida Wang; Yang Liu 003 (CoRR, 2024)

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. - Wei Ma; Shangqing Liu; Mengjie Zhao; Xiaofei Xie; Wenhan Wang; Qiang Hu; Jie Zhang 050; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

Automated Commit Intelligence by Pre-training. - Shangqing Liu; Yanzhou Li; Xiaofei Xie; Wei Ma; Guozhu Meng; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

Intention is All you Need: Refining your Code from your Intention. - Qi Guo; Xiaofei Xie; Shangqing Liu; Ming Hu 003; Xiaohong Li 001; Lei Bu (ICSE, 2025)

SpecGen: Automated Generation of Formal Program Specifications via Large Language Models. - Lezhi Ma; Shangqing Liu; Yi Li 008; Xiaofei Xie; Lei Bu (ICSE, 2025)

Combining Fine-Tuning and LLM-Based Agents for Intuitive Smart Contract Auditing with Justifications. - Wei Ma; Daoyuan Wu; Yuqiang Sun 001; Tianwen Wang; Shangqing Liu; Jian Zhang 087; Yue Xue; Yang Liu 003 (ICSE, 2025)

Attention enhanced residual network for automatic pulmonary tuberculosis detection on chest radiographs images. - Yulong Liu; Feng Liu; Shixin Tu; Shangqing Liu; Baoru Han (Digit. Signal Process., 2025)

Demystifying Memorization in LLM-Based Program Repair via a General Hypothesis Testing Framework. - Jiaolong Kong; Xiaofei Xie; Shangqing Liu (Proc. ACM Softw. Eng., 2025)

Zero-Watermarking of Medical Images Based on Improved Lightweight Neural Network MobileNetV3. - Qiuni Li; Wen Zhang; Shangqing Liu; Taocui Yan; Jinglong Du; Baoru Han (Circuits Syst. Signal Process., 2025)

Impact-driven Context Filtering For Cross-file Code Completion. - Yanzhou Li; Shangqing Liu; Kangjie Chen; Tianwei Zhang; Yang Liu (CoRR, 2025)

Your Coding Intent is Secretly in the Context and You Should Deliberately Infer It Before Completion. - Yanzhou Li; Tianlin Li; Yiran Zhang; Shangqing Liu; Aishan Liu; Yang Liu (CoRR, 2025)