Yichao Wu

According to our database, Yichao Wu authored at least 59 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems.

Chenxi Shi, Penghao Liang, Yichao Wu, Tong Zhan, Zhengyu Jin

CoRR, 2024

ViTCN: Vision Transformer Contrastive Network For Reasoning.

Bo Song, Yuanhao Xu, Yichao Wu

CoRR, 2024

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

Yichao Wu, Yafei Xiang, Shuning Huo, Yulu Gong, Penghao Liang

CoRR, 2024

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

Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan

CoRR, 2024

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

Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang

CoRR, 2024

2023

AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning.

Linna Fan, Lin He, Yichao Wu, Shize Zhang, Zhiliang Wang, Jia Li, Jiahai Yang, Chaocan Xiang, Xiaoqian Ma

IEEE Trans. Mob. Comput., October, 2023

Latent Distribution Adjusting for Face Anti-Spoofing.

Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao

CoRR, 2023

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

Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang

CoRR, 2023

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks.

Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning.

Guanglei Song, Lin He, Tianyun Zhao, Yirui Luo, Yichao Wu, Linna Fan, Chenglong Li, Zhiliang Wang, Jiahai Yang

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

ICD-Face: Intra-class Compactness Distillation for Face Recognition.

Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang

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

Improving Robust Fariness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order.

Qing Li, Yichao Wu, Jingpu Duan, Jiahai Yang, Yong Jiang

IEEE Trans. Netw. Serv. Manag., 2022

Fréchet kernel sliced inverse regression.

Yushen Dong, Yichao Wu

J. Multivar. Anal., 2022

Improving Robust Fairness via Balance Adversarial Training.

Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu

CoRR, 2022

Adaptive Perturbation Generation for Multiple Backdoors Detection.

Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu

CoRR, 2022

Robust Face Anti-Spoofing with Dual Probabilistic Modeling.

Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu

CoRR, 2022

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

Chaowen Zheng, Zhuochao Tang, Jingfang Huang, Yichao Wu

Adv. Comput. Math., 2022

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection.

Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

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.

Yichao Wu, Shuying Wang

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.

Yichao Wu, Chenglong Li, Jiahai Yang, Zhiliang Wang, Wei Hu, Ang Xia, Yong Jiang, Yao Wang, Liuli Wu

Proceedings of the IEEE Symposium on Computers and Communications, 2022

OneFace: One Threshold for All.

Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

CoupleFace: Relation Matters for Face Recognition Distillation.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection.

Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

AnchorFace: Boosting TAR@FAR for Practical Face Recognition.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation.

Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Block Proposal Neural Architecture Search.

Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu

IEEE Trans. Image Process., 2021

Can't Ridge Regression Perform Variable Selection?

Yichao Wu

Technometrics, 2021

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

Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan

CoRR, 2021

INTERN: A New Learning Paradigm Towards General Vision.

Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

CoRR, 2021

Inter-class Discrepancy Alignment for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan

CoRR, 2021

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs.

Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi

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.

Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Companion Guided Soft Margin for Face Recognition.

Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Multi-path Neural Network.

Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Face Image Quality Assessment for Model and Human Perception.

Ken Chen, Yichao Wu, Zhenmao Li, Yudong Wu, Ding Liang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition.

Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Online Knowledge Distillation via Collaborative Learning.

Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An IoT Device Identification Method based on Semi-supervised Learning.

Linna Fan, Shize Zhang, Yichao Wu, Zhiliang Wang, Chenxin Duan, Jia Li, Jiahai Yang

Proceedings of the 16th International Conference on Network and Service Management, 2020

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Editorial for the special issue on High-dimensional and functional data analysis.

Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu

Comput. Stat. Data Anal., 2019

LAW: Learning to Auto Weight.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

CoRR, 2019

Context-aware Dynamic Block.

Yingcheng Su, Shunfeng Zhou, Yichao Wu, Xuebo Liu, Tian Su, Ding Liang, Junjie Yan

CoRR, 2019

Hepatic Lesion Segmentation by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net.

Yichao Wu, Qiang Zhou, Haoji Hu, Guanghua Rong, Yongwu Li, Shiyan Wang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Geometry Guided Feature Aggregation in Video Face Recognition.

Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Correlation Congruence for Knowledge Distillation.

Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Distillation via Route Constrained Optimization.

Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Dynamic Recursive Neural Network.

Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

R3 Adversarial Network for Cross Model Face Recognition.

Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Functional envelope for model-free sufficient dimension reduction.

Xin Zhang, Chong Wang, Yichao Wu

J. Multivar. Anal., 2018

2017

The robust EM-type algorithms for log-concave mixtures of regression models.

Hao Hu, Weixin Yao, Yichao Wu

Comput. Stat. Data Anal., 2017

Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks.

Zhuo Chen, Yichao Wu, Fei Yin, Cheng-Lin Liu

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.

Xiang Zhang, Yichao Wu, Lan Wang, Runze Li

J. Mach. Learn. Res., 2016

On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint.

Chong Zhang, Yufeng Liu, Yichao Wu

J. Mach. Learn. Res., 2016

An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension.

Bo Peng, Lan Wang, Yichao Wu

J. Mach. Learn. Res., 2016

Maximum likelihood estimation of the mixture of log-concave densities.

Hao Hu, Yichao Wu, Weixin Yao

Comput. Stat. Data Anal., 2016

2015

Domain selection for the varying coefficient model via local polynomial regression.

Dehan Kong, Howard D. Bondell, Yichao Wu

Comput. Stat. Data Anal., 2015

2012

Nonlinear vertex discriminant analysis with reproducing kernels.

Tong Tong Wu, Yichao Wu

Stat. Anal. Data Min., 2012

2009

Ultrahigh Dimensional Feature Selection: Beyond The Linear Model.

Jianqing Fan, Richard Samworth, Yichao Wu

J. Mach. Learn. Res., 2009