Yiwei Lu

Orcid: 0000-0001-7872-3186

According to our database1, Yiwei Lu authored at least 26 papers between 2016 and 2024.

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Bibliography

2024
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors.
CoRR, 2024

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning.
CoRR, 2024

2023
Exploring the Limits of Indiscriminate Data Poisoning Attacks.
CoRR, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Legal System to Modify Autonomous Vehicle Designs in Transnational Contexts.
Proceedings of the Legal Knowledge and Information Systems, 2023

Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks.
Proceedings of the International Conference on Machine Learning, 2023

A Structured Bipolar Argumentation Theory for Providing Explanations in Practical Reasoning.
Proceedings of the Logic and Argumentation - 5th International Conference, 2023

2022
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting.
IEEE Trans. Multim., 2022

Indiscriminate Data Poisoning Attacks on Neural Networks.
Trans. Mach. Learn. Res., 2022

Improved Square-Coil Configurations for Homogeneous Magnetic Field Generation.
IEEE Trans. Ind. Electron., 2022

An Argumentation-Based Legal Reasoning Approach for DL-Ontology.
CoRR, 2022

An Argumentation and Ontology Based Legal Support System for AI Vehicle Design.
Proceedings of the Legal Knowledge and Information Systems, 2022

2021
MRE: A Military Relation Extraction Model Based on BiGRU and Multi-Head Attention.
Symmetry, 2021

An Optimized Quantitative Argumentation Debate Model for Fraud Detection in E-Commerce Transactions.
IEEE Intell. Syst., 2021

Robust Resource Scheduling for Air-Ground Cooperative Mobile Edge Computing.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020
Structure learning with similarity preserving.
Neural Networks, 2020

Marker Codes Using the Decoding Based on Weighted Levenshtein Distance in the Presence of Insertions/Deletions.
IEEE Access, 2020

Few-Shot Scene-Adaptive Anomaly Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

Argumentation Theory for Reasoning with Inconsistent Ontologies (Extended Abstract).
Proceedings of the 33rd International Workshop on Description Logics (DL 2020) co-located with the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 2020

2019
Structure Learning with Similarity Preserving.
CoRR, 2019

Semantic Segmentation in Compressed Videos.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Homoglyph attack detection with unpaired data.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Future Frame Prediction Using Convolutional VRNN for Anomaly Detection.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Similarity Learning via Kernel Preserving Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Military Named Entity Recognition Method Based on Deep Learning.
Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems, 2018

2016
Random matrix based method for joint DOD and DOA estimation for large scale MIMO radar in non-Gaussian noise.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016


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