Jingwei Xu

Orcid: 0000-0003-0407-0797

Affiliations:
  • Nanjing University, China


According to our database1, Jingwei Xu authored at least 22 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

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Bibliography

2024
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models.
CoRR, 2024

2023
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.
CoRR, 2023

Neuro-symbolic Learning Yielding Logical Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data Quality Matters: A Case Study of Obsolete Comment Detection.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Learning with Logical Constraints but without Shortcut Satisfaction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Softened Symbol Grounding for Neuro-symbolic Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Deep Learning Dataloader with Shared Data Preparation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

ADEPT: A Testing Platform for Simulated Autonomous Driving.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
Joint Distribution across Representation Space for Out-of-Distribution Detection.
CoRR, 2021

2020
Predicted Robustness as QoS for Deep Neural Network Models.
J. Comput. Sci. Technol., 2020

Operational calibration: debugging confidence errors for DNNs in the field.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Scheduling Distributed Deep Learning Jobs in Heterogeneous Cluster with Placement Awareness.
Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

Dissector: input validation for deep learning applications by crossing-layer dissection.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Boosting operational DNN testing efficiency through conditioning.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Fast Robustness Prediction for Deep Neural Network.
Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

2018
Measuring and Predicting the Relevance Ratings between FLOSS Projects using Topic Features.
Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

2017
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem.
IEEE Trans. Knowl. Data Eng., 2017

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2010
Building a real-world body area sensor network system.
Proceedings of the Second Asia-Pacific Symposium on Internetware, 2010


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