Le Yang

Orcid: 0000-0001-8379-4915

Affiliations:
  • Xi'an Jiaotong University, School of Information and Communications Engineering, China
  • Tsinghua University, Department of Automation, Beijing, China (PhD 2021)


According to our database1, Le Yang authored at least 49 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Simple and Effective Architecture Selection Method for Differentiable Architecture Search.
IEEE Trans. Artif. Intell., April, 2026

TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models.
CoRR, April, 2026

Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Concept Unlearning by Modeling Key Steps of Diffusion Process.
CoRR, July, 2025

Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations.
CoRR, May, 2025

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak.
CoRR, January, 2025

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models.
CoRR, January, 2025

Data-Centric Robust Training for Defending Against Transfer-Based Adversarial Attacks.
IEEE Trans. Inf. Forensics Secur., 2025

Single-layer feedforward neural networks with dynamic width for domain adaptation.
Sci. China Inf. Sci., 2025

Artificial intelligence security and privacy: a survey.
Sci. China Inf. Sci., 2025

Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

LVLM-FDA: Protecting Large Vision-Language Models via Fast Detection of Malicious Attempts.
Proceedings of the Knowledge Science, Engineering and Management, 2025

Deep Learning Based Topography Aware Gas Source Localization with Mobile Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

D3: Training-Free AI-Generated Video Detection Using Second-Order Features.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Beyond One-Size-Fits-All: Fine-Grained Age Group Identification on Smartphones for Targeted Child Protection.
Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
OStr-DARTS: Differentiable Neural Architecture Search Based on Operation Strength.
IEEE Trans. Cybern., November, 2024

Dynamic Spatial Focus for Efficient Compressed Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

AdaDet: An Adaptive Object Detection System Based on Early-Exit Neural Networks.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models.
CoRR, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model.
CoRR, 2024

Fixing Overconfidence in Dynamic Neural Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Energy-based Active Learning for Bringing Beam-induced Domain Gap for 3D Object Detection.
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Rethinking the Architecture Design for Efficient Generic Event Boundary Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fine-Grained Dynamic Network for Generic Event Boundary Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Twin Broad Learning System for Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas., 2023

Pursing the Sparse Limitation of Spiking Deep Learning Structures.
CoRR, 2023

2022
Dynamic Neural Networks: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Dark-channel based attention and classifier retraining for smoke detection in foggy environments.
Digit. Signal Process., 2022

Anomaly Detection based on Broad Leaning System for Rolling Element Bearing Fault Diagnosis.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

Privacy-preserved Intermediate Feature Compression for Cyber-Physical Systems.
Proceedings of the Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 2022

2021
Graph Embedding-Based Dimension Reduction With Extreme Learning Machine.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Spatially Adaptive Feature Refinement for Efficient Inference.
IEEE Trans. Image Process., 2021

Discriminative Dimension Reduction via Maximin Separation Probability Analysis.
IEEE Trans. Cybern., 2021

Deep Siamese Networks Based Change Detection with Remote Sensing Images.
Remote. Sens., 2021

Predicting Arbitrary-Oriented Objects as Points in Remote Sensing Images.
Remote. Sens., 2021

Large scale air pollution prediction with deep convolutional networks.
Sci. China Inf. Sci., 2021

Revisiting Locally Supervised Learning: an Alternative to End-to-end Training.
Proceedings of the 9th International Conference on Learning Representations, 2021

Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

CondenseNet V2: Sparse Feature Reactivation for Deep Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AD-DARTS: Adaptive Dropout for Differentiable Architecture Search.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A physical knowledge-based extreme learning machine approach to fault diagnosis of rolling element bearing from small datasets.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Resolution Adaptive Networks for Efficient Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability.
IEEE Trans. Neural Networks Learn. Syst., 2019

Domain Space Transfer Extreme Learning Machine for Domain Adaptation.
IEEE Trans. Cybern., 2019

2018
Transductive Transfer Learning Based on Broad Learning System.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018


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