Yichao Wu

Orcid: 0000-0003-4496-9959

According to our database1, Yichao Wu authored at least 63 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
A Unified Approach to Variable Selection for Partially Linear Models.
J. Comput. Graph. Stat., 2024

Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training.
CoRR, 2024

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models.
CoRR, 2024

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems.
CoRR, 2024

ViTCN: Vision Transformer Contrastive Network For Reasoning.
CoRR, 2024

LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models.
CoRR, 2024

Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis.
CoRR, 2024

Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations.
CoRR, 2024

Noise Reduction in Capacitive ECG Measurements by Dedicated Modelling and Kalman Filtering.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023
AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning.
IEEE Trans. Mob. Comput., October, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.
CoRR, 2023

Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework.
CoRR, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

ICD-Face: Intra-class Compactness Distillation for Face Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Improving Robust Fariness via Balance Adversarial Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order.
IEEE Trans. Netw. Serv. Manag., 2022

Fréchet kernel sliced inverse regression.
J. Multivar. Anal., 2022

Improving Robust Fairness via Balance Adversarial Training.
CoRR, 2022

Adaptive Perturbation Generation for Multiple Backdoors Detection.
CoRR, 2022

Robust Face Anti-Spoofing with Dual Probabilistic Modeling.
CoRR, 2022

An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution II: computing moments and sparse grid acceleration.
Adv. Comput. Math., 2022

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Construction of rail wear and crack initiation prediction model combined with BP neural network.
Proceedings of the 6th International Symposium on Computer Science and Intelligent Control, 2022

WebIoT: Classifying Internet of Things Devices at Internet Scale through Web Characteristics.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

OneFace: One Threshold for All.
Proceedings of the Computer Vision - ECCV 2022, 2022

CoupleFace: Relation Matters for Face Recognition Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

AnchorFace: Boosting TAR@FAR for Practical Face Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Block Proposal Neural Architecture Search.
IEEE Trans. Image Process., 2021

Can't Ridge Regression Perform Variable Selection?
Technometrics, 2021

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data.
CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.
CoRR, 2021

Inter-class Discrepancy Alignment for Face Recognition.
CoRR, 2021

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DAM: Discrepancy Alignment Metric for Face Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Companion Guided Soft Margin for Face Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Multi-path Neural Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Face Image Quality Assessment for Model and Human Perception.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Online Knowledge Distillation via Collaborative Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An IoT Device Identification Method based on Semi-supervised Learning.
Proceedings of the 16th International Conference on Network and Service Management, 2020

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Editorial for the special issue on High-dimensional and functional data analysis.
Comput. Stat. Data Anal., 2019

LAW: Learning to Auto Weight.
CoRR, 2019

Context-aware Dynamic Block.
CoRR, 2019

Hepatic Lesion Segmentation by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Geometry Guided Feature Aggregation in Video Face Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Correlation Congruence for Knowledge Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Distillation via Route Constrained Optimization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dynamic Recursive Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

R3 Adversarial Network for Cross Model Face Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Functional envelope for model-free sufficient dimension reduction.
J. Multivar. Anal., 2018

2017
The robust EM-type algorithms for log-concave mixtures of regression models.
Comput. Stat. Data Anal., 2017

Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

2016
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces.
J. Mach. Learn. Res., 2016

On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint.
J. Mach. Learn. Res., 2016

An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension.
J. Mach. Learn. Res., 2016

Maximum likelihood estimation of the mixture of log-concave densities.
Comput. Stat. Data Anal., 2016

2015
Domain selection for the varying coefficient model via local polynomial regression.
Comput. Stat. Data Anal., 2015

2012
Nonlinear vertex discriminant analysis with reproducing kernels.
Stat. Anal. Data Min., 2012

2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model.
J. Mach. Learn. Res., 2009


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