Jingwei Xu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 27

Top Topics

Symbol Grounding

Data Preparation

Top Venues

ESEC/SIGSOFT FSE

Publications

Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü
Learning with Logical Constraints but without Shortcut Satisfaction. CoRR (2024)
Jingwei Xu, Junyu Lai, Yunpeng Huang
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models. CoRR (2024)
Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü
Softened Symbol Grounding for Neuro-symbolic Systems. CoRR (2024)
Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models. CoRR (2024)
Jingwei Xu, Zihan Zeng
Programmable and Semantic Connector for DNN Component Integration: a Software Engineering Perspective. ICSE Companion (2024)
Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü
Learning with Logical Constraints but without Shortcut Satisfaction. ICLR (2023)
Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu
Neuro-symbolic Learning Yielding Logical Constraints. NeurIPS (2023)
Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü
Softened Symbol Grounding for Neuro-symbolic Systems. ICLR (2023)
Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu
Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. ICSE (2023)
Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey. CoRR (2023)
Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Jingwei Xu, Xiaoxing Ma
Data Quality Matters: A Case Study of Obsolete Comment Detection. ICSE (2023)
Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS (2022)
Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao
MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. NDSS (2022)
Sen Wang, Zhuheng Sheng, Jingwei Xu, Taolue Chen, Junjun Zhu, Shuhui Zhang, Yuan Yao, Xiaoxing Ma
ADEPT: A Testing Platform for Simulated Autonomous Driving. ASE (2022)
Jingwei Xu, Siyuan Zhu, Zenan Li, Chang Xu
Joint Distribution across Representation Space for Out-of-Distribution Detection. CoRR (2021)
Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Taolue Chen, Xiaoxing Ma
Predicted Robustness as QoS for Deep Neural Network Models. J. Comput. Sci. Technol. 35 (5) (2020)
Qingping Li, Jingwei Xu, Chun Cao
Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness. Internetware (2020)
Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lu
Operational calibration: debugging confidence errors for DNNs in the field. ESEC/SIGSOFT FSE (2020)
Huiyan Wang, Jingwei Xu, Chang Xu, Xiaoxing Ma, Jian Lu
Dissector: input validation for deep learning applications by crossing-layer dissection. ICSE (2020)
Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lü
Operational Calibration: Debugging Confidence Errors for DNNs in the Field. CoRR (2019)
Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lü
Boosting operational DNN testing efficiency through conditioning. ESEC/SIGSOFT FSE (2019)
Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma
Fast Robustness Prediction for Deep Neural Network. Internetware (2019)
Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lu
Boosting Operational DNN Testing Efficiency through Conditioning. CoRR (2019)
Zhiwen Zheng, Liang Wang, Jingwei Xu, Tianheng Wu, Simeng Wu, Xianping Tao
Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features. Internetware (2018)
Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD (2017)
Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. 29 (6) (2017)
Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI (2015)
Jingwei Xu, Liang Wang, Xianping Tao
Building a real-world body area sensor network system. Internetware (2010)