Building a real-world body area sensor network system. - Jingwei Xu 001; Liang Wang 006; Xianping Tao (Internetware, 2010)

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. - Jingwei Xu 001; Yuan Yao 001; Hanghang Tong; XianPing Tao; Jian Lu 001 (IJCAI, 2015)

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. - Jingwei Xu 001; Yuan Yao 001; Hanghang Tong; Xianping Tao; Jian Lu 001 (KDD, 2017)

RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. - Jingwei Xu 001; Yuan Yao 001; Hanghang Tong; Xianping Tao; Jian Lu 001 (IEEE Trans. Knowl. Data Eng., 2017)

Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features. - Zhiwen Zheng; Liang Wang 006; Jingwei Xu 001; Tianheng Wu; Simeng Wu; Xianping Tao (Internetware, 2018)

Fast Robustness Prediction for Deep Neural Network. - Yue-Huan Wang; Zenan Li; Jingwei Xu 001; Ping Yu 004; Xiaoxing Ma (Internetware, 2019)

Boosting operational DNN testing efficiency through conditioning. - Zenan Li; Xiaoxing Ma; Chang Xu 001; Chun Cao; Jingwei Xu 001; Jian Lü 001 (ESEC/SIGSOFT FSE, 2019)

Dissector: input validation for deep learning applications by crossing-layer dissection. - Huiyan Wang 001; Jingwei Xu 001; Chang Xu 001; Xiaoxing Ma; Jian Lu 001 (ICSE, 2020)

Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness. - Qingping Li; Jingwei Xu 001; Chun Cao (Internetware, 2020)

Operational calibration: debugging confidence errors for DNNs in the field. - Zenan Li; Xiaoxing Ma; Chang Xu 001; Jingwei Xu 001; Chun Cao; Jian Lu 001 (ESEC/SIGSOFT FSE, 2020)

Predicted Robustness as QoS for Deep Neural Network Models. - Yue-Huan Wang; Zenan Li; Jingwei Xu 001; Ping Yu 004; Taolue Chen 001; Xiaoxing Ma (J. Comput. Sci. Technol., 2020)

Joint Distribution across Representation Space for Out-of-Distribution Detection. - Jingwei Xu 001; Siyuan Zhu; Zenan Li; Chang Xu 001 (CoRR, 2021)

ADEPT: A Testing Platform for Simulated Autonomous Driving. - Sen Wang; Zhuheng Sheng; Jingwei Xu 001; Taolue Chen 001; Junjun Zhu; Shuhui Zhang; Yuan Yao 001; Xiaoxing Ma (ASE, 2022)

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. - Guanhong Tao 001; Qiuling Xu; Yingqi Liu; Guangyu Shen; Shengwei An; Jingwei Xu 001; Xiangyu Zhang 001; Yuan Yao 001 (NDSS, 2022)

A Deep Learning Dataloader with Shared Data Preparation. - Jian Xie; Jingwei Xu 001; Guochang Wang; Yuan Yao 001; Zenan Li; Chun Cao; Hanghang Tong (NeurIPS, 2022)

Softened Symbol Grounding for Neuro-symbolic Systems. - Zenan Li; Yuan Yao 001; Taolue Chen 001; Jingwei Xu 001; Chun Cao; Xiaoxing Ma; Jian Lü 001 (ICLR, 2023)

Learning with Logical Constraints but without Shortcut Satisfaction. - Zenan Li; Zehua Liu; Yuan Yao 001; Jingwei Xu 001; Taolue Chen 001; Xiaoxing Ma; Jian Lü 001 (ICLR, 2023)

Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. - Zenan Li; Maorun Zhang; Jingwei Xu 001; Yuan Yao 001; Chun Cao; Taolue Chen 001; Xiaoxing Ma; Jian Lu 001 (ICSE, 2023)

Data Quality Matters: A Case Study of Obsolete Comment Detection. - Shengbin Xu; Yuan Yao 001; Feng Xu 007; Tianxiao Gu; Jingwei Xu 001; Xiaoxing Ma (ICSE, 2023)

Neuro-symbolic Learning Yielding Logical Constraints. - Zenan Li; Yunpeng Huang; Zhaoyu Li; Yuan Yao 001; Jingwei Xu 001; Taolue Chen 001; Xiaoxing Ma; Jian Lu 001 (NeurIPS, 2023)

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey. - Yunpeng Huang; Jingwei Xu 001; Zixu Jiang; Junyu Lai; Zenan Li; Yuan Yao 001; Taolue Chen 001; Lijuan Yang; Zhou Xin; Xiaoxing Ma (CoRR, 2023)

Programmable and Semantic Connector for DNN Component Integration: a Software Engineering Perspective. - Jingwei Xu 001; Zihan Zeng (ICSE Companion, 2024)

Symbolic Execution with Test Cases Generated by Large Language Models. - Jiahe Xu 006; Jingwei Xu 001; Taolue Chen 001; Xiaoxing Ma (QRS, 2024)

Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models. - Yunpeng Huang; Yaonan Gu; Jingwei Xu 001; Zhihong Zhu; Zhaorun Chen; Xiaoxing Ma (CoRR, 2024)

Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines. - Junyu Lai; Jiahe Xu 006; Yao Yang; Yunpeng Huang; Chun Cao; Jingwei Xu 001 (CoRR, 2024)

LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation. - Hao Gao; Jingyue Wang; Wenyang Fang; Jingwei Xu 001; Yunpeng Huang; Taolue Chen 001; Xiaoxing Ma (CoRR, 2024)

MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models. - Jingwei Xu 001; Junyu Lai; Yunpeng Huang (ICLR, 2025)

LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation. - Junyu Lai; Jiakun Zhang; Shuo Xu; Taolue Chen 001; Zihang Wang; Yao Yang; Jiarui Zhang; Chun Cao; Jingwei Xu 001 (CoRR, 2025)

SCG-tree: shortcut enhanced graph hierarchy tree for efficient spatial queries on massive road networks. - Zhuo Cao; Chun Cao; Jianqiu Xu; Jingwei Xu 001; Zhefei Chen; Zi Chen 003; Xiaoxing Ma (Frontiers Comput. Sci., 2025)