Yu Li

Affiliations:

Chinese University of Hong Kong, CURE, Hong Kong
KU Leuven, Group T, Belgium

According to our database¹, Yu Li authored at least 21 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2024

RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

On Function-Coupled Watermarks for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

HiBug: On Human-Interpretable Model Debug.

[BibT_eX]

[DOI]

Muxi Chen

Yu Li

Qiang Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures.

[BibT_eX]

[DOI]

Yu Li

Qiang Xu

Proceedings of the IEEE International Test Conference, 2023

From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2022

What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction.

[BibT_eX]

[DOI]

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

HybridRepair: towards annotation-efficient repair for deep learning models.

[BibT_eX]

[DOI]

Yu Li

Muxi Chen

Qiang Xu

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE VLSI Test Symposium, 2021

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information Bottleneck Approach to Spatial Attention Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

On Configurable Defense against Adversarial Example Attacks.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

DeepDyve: Dynamic Verification for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

On Functional Test Generation for Deep Neural Network IPs.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

D2NN: a fine-grained dual modular redundancy framework for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Computer Security Applications Conference, 2019

2018

IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE European Test Symposium, 2018

I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Computer Security Applications Conference, 2018

Yu Li

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