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Jingwei Xu 0001
Person information
- affiliation: Nanjing University, China
- unicode name: 徐经纬
Other persons with the same name
- Jingwei Xu — disambiguation page
- Jingwei Xu 0002 — Xidian University, Xi'an, China
- Jingwei Xu 0003 — Texas A&M University, College Station, TX, USA
- Jingwei Xu 0004 — Peking University, Beijing, China
- Jingwei Xu 0005 — Shanghai Jiao Tong University, AI Institute, MoE Key Lab of Artificial Intelligence, Shanghai, China
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2020 – today
- 2024
- [c19]Jingwei Xu, Zihan Zeng:
Programmable and Semantic Connector for DNN Component Integration: a Software Engineering Perspective. ICSE Companion 2024: 294-295 - [c18]Jiahe Xu, Jingwei Xu, Taolue Chen, Xiaoxing Ma:
Symbolic Execution with Test Cases Generated by Large Language Models. QRS 2024: 228-237 - [i11]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 abs/2402.17671 (2024) - [i10]Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. CoRR abs/2403.00323 (2024) - [i9]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. CoRR abs/2403.00329 (2024) - [i8]Jingwei Xu, Junyu Lai, Yunpeng Huang:
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models. CoRR abs/2405.13053 (2024) - [i7]Junyu Lai, Jiahe Xu, Yao Yang, Yunpeng Huang, Chun Cao, Jingwei Xu:
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines. CoRR abs/2410.07896 (2024) - [i6]Hao Gao, Jingyue Wang, Wenyang Fang, Jingwei Xu, Yunpeng Huang, Taolue Chen, Xiaoxing Ma:
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation. CoRR abs/2410.16197 (2024) - [i5]Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu:
Neuro-symbolic Learning Yielding Logical Constraints. CoRR abs/2410.20957 (2024) - 2023
- [c17]Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. ICLR 2023 - [c16]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. ICLR 2023 - [c15]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Jingwei Xu, Xiaoxing Ma:
Data Quality Matters: A Case Study of Obsolete Comment Detection. ICSE 2023: 781-793 - [c14]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: 1187-1199 - [c13]Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu:
Neuro-symbolic Learning Yielding Logical Constraints. NeurIPS 2023 - [i4]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 abs/2311.12351 (2023) - 2022
- [c12]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: 150:1-150:4 - [c11]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 - [c10]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - 2021
- [i3]Jingwei Xu, Siyuan Zhu, Zenan Li, Chang Xu:
Joint Distribution across Representation Space for Out-of-Distribution Detection. CoRR abs/2103.12344 (2021) - 2020
- [j2]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): 999-1015 (2020) - [c9]Huiyan Wang, Jingwei Xu, Chang Xu, Xiaoxing Ma, Jian Lu:
Dissector: input validation for deep learning applications by crossing-layer dissection. ICSE 2020: 727-738 - [c8]Qingping Li, Jingwei Xu, Chun Cao:
Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness. Internetware 2020: 217-228 - [c7]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: 901-913
2010 – 2019
- 2019
- [c6]Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma:
Fast Robustness Prediction for Deep Neural Network. Internetware 2019: 11:1-11:10 - [c5]Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lü:
Boosting operational DNN testing efficiency through conditioning. ESEC/SIGSOFT FSE 2019: 499-509 - [i2]Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lu:
Boosting Operational DNN Testing Efficiency through Conditioning. CoRR abs/1906.02533 (2019) - [i1]Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lü:
Operational Calibration: Debugging Confidence Errors for DNNs in the Field. CoRR abs/1910.02352 (2019) - 2018
- [c4]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: 12:1-12:10 - 2017
- [j1]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): 1296-1309 (2017) - [c3]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017: 525-534 - 2015
- [c2]Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu:
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI 2015: 3981-3987 - 2010
- [c1]Jingwei Xu, Liang Wang, Xianping Tao:
Building a real-world body area sensor network system. Internetware 2010: 19
Coauthor Index
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last updated on 2024-12-18 19:22 CET by the dblp team
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