Yichao Wu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 67

Top Topics

Face Recognition

Probabilistic Modeling

Top Venues

Comput. Stat. Data Anal.

Publications

Yichao Wu, Yafei Xiang, Shuning Huo, Yulu Gong, Penghao Liang
LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models. CoRR (2024)
Runwei Lin, Yichao Wu, Anyi Cheng, Yaodan Xu, Lin Xu
Noise Reduction in Capacitive ECG Measurements by Dedicated Modelling and Kalman Filtering. MeMeA (2024)
Yanlin Zhou, Tong Zhan, Yichao Wu, Bo Song, Chenxi Shi
RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models. CoRR (2024)
Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations. CoRR (2024)
Junqin Huang, Zhongjie Hu, Zihao Jing, Mengya Gao, Yichao Wu
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training. CoRR (2024)
Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan
Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis. CoRR (2024)
Bo Song, Yuanhao Xu, Yichao Wu
ViTCN: Vision Transformer Contrastive Network For Reasoning. CoRR (2024)
Chenxi Shi, Penghao Liang, Yichao Wu, Tong Zhan, Zhengyu Jin
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems. CoRR (2024)
Youhan Lu, Yushen Dong, Juan Hu, Yichao Wu
A Unified Approach to Variable Selection for Partially Linear Models. J. Comput. Graph. Stat. 33 (1) (2024)
Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia (2023)
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
Improving Robust Fariness via Balance Adversarial Training. AAAI (2023)
Guanglei Song, Lin He, Tianyun Zhao, Yirui Luo, Yichao Wu, Linna Fan, Chenglong Li, Zhiliang Wang, Jiahai Yang
Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning. IWQoS (2023)
Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang
ICD-Face: Intra-class Compactness Distillation for Face Recognition. ICCV (2023)
Linna Fan, Lin He, Yichao Wu, Shize Zhang, Zhiliang Wang, Jia Li, Jiahai Yang, Chaocan Xiang, Xiaoqian Ma
AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning. IEEE Trans. Mob. Comput. 22 (10) (2023)
Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework. CoRR (2023)
Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR (2023)
Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao
Latent Distribution Adjusting for Face Anti-Spoofing. CoRR (2023)
Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu
Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR (2022)
Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. ECCV (9) (2022)
Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang
AnchorFace: Boosting TAR@FAR for Practical Face Recognition. AAAI (2022)
Qing Li, Yichao Wu, Jingpu Duan, Jiahai Yang, Yong Jiang
Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order. IEEE Trans. Netw. Serv. Manag. 19 (2) (2022)
Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
Improving Robust Fairness via Balance Adversarial Training. CoRR (2022)
Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. AAAI (2022)
Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. CoRR (2022)
Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu
Robust Face Anti-Spoofing with Dual Probabilistic Modeling. CoRR (2022)
Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. CoRR (2022)
Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
CoupleFace: Relation Matters for Face Recognition Distillation. CoRR (2022)
Yushen Dong, Yichao Wu
Fréchet kernel sliced inverse regression. J. Multivar. Anal. 191 (2022)
Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. NeurIPS (2022)
Yichao Wu, Shuying Wang
Construction of rail wear and crack initiation prediction model combined with BP neural network. ISCSIC (2022)
Chaowen Zheng, Zhuochao Tang, Jingfang Huang, Yichao Wu
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. 48 (6) (2022)
Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
CoupleFace: Relation Matters for Face Recognition Distillation. ECCV (12) (2022)
Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu
OneFace: One Threshold for All. ECCV (12) (2022)
Yichao Wu, Chenglong Li, Jiahai Yang, Zhiliang Wang, Wei Hu, Ang Xia, Yong Jiang, Yao Wang, Liuli Wu
WebIoT: Classifying Internet of Things Devices at Internet Scale through Web Characteristics. ISCC (2022)
Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data. CoRR (2021)
Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan
Inter-class Discrepancy Alignment for Face Recognition. CoRR (2021)
Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu
Block Proposal Neural Architecture Search. IEEE Trans. Image Process. 30 (2021)
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
INTERN: A New Learning Paradigm Towards General Vision. CoRR (2021)
Yichao Wu
Can't Ridge Regression Perform Variable Selection? Technometrics 63 (2) (2021)
Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation. CoRR (2021)
Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang
DAM: Discrepancy Alignment Metric for Face Recognition. ICCV (2021)
Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS (2021)
Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu
Dynamic Multi-path Neural Network. ICPR (2020)
Linna Fan, Shize Zhang, Yichao Wu, Zhiliang Wang, Chenxin Duan, Jia Li, Jiahai Yang
An IoT Device Identification Method based on Semi-supervised Learning. CNSM (2020)
Ken Chen, Yichao Wu, Zhenmao Li, Yudong Wu, Ding Liang
Face Image Quality Assessment for Model and Human Perception. ICPR (2020)
Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. AAAI (2020)
Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu
Companion Guided Soft Margin for Face Recognition. ECML/PKDD (3) (2020)
Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo
Online Knowledge Distillation via Collaborative Learning. CVPR (2020)
Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR (2020)
Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu
Correlation Congruence for Knowledge Distillation. ICCV (2019)
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
Knowledge Distillation via Route Constrained Optimization. ICCV (2019)
Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan
R3 Adversarial Network for Cross Model Face Recognition. CVPR (2019)
Yingcheng Su, Shunfeng Zhou, Yichao Wu, Xuebo Liu, Tian Su, Ding Liang, Junjie Yan
Context-aware Dynamic Block. CoRR (2019)
Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan
Dynamic Recursive Neural Network. CVPR (2019)
Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
Knowledge Distillation via Route Constrained Optimization. CoRR (2019)
Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li
Geometry Guided Feature Aggregation in Video Face Recognition. ICCV Workshops (2019)
Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan
LAW: Learning to Auto Weight. CoRR (2019)
Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
Correlation Congruence for Knowledge Distillation. CoRR (2019)
Yichao Wu, Qiang Zhou, Haoji Hu, Guanghua Rong, Yongwu Li, Shiyan Wang
Hepatic Lesion Segmentation by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net. ICIP (2019)
Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu
Editorial for the special issue on High-dimensional and functional data analysis. Comput. Stat. Data Anal. 131 (2019)
Xin Zhang, Chong Wang, Yichao Wu
Functional envelope for model-free sufficient dimension reduction. J. Multivar. Anal. 163 (2018)
Hao Hu, Weixin Yao, Yichao Wu
The robust EM-type algorithms for log-concave mixtures of regression models. Comput. Stat. Data Anal. 111 (2017)
Zhuo Chen, Yichao Wu, Fei Yin, Cheng-Lin Liu
Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks. ICDAR (2017)
Bo Peng, Lan Wang, Yichao Wu
An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension. J. Mach. Learn. Res. 17 (2016)
Hao Hu, Yichao Wu, Weixin Yao
Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. 101 (2016)
Chong Zhang, Yufeng Liu, Yichao Wu
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint. J. Mach. Learn. Res. 17 (2016)
Xiang Zhang, Yichao Wu, Lan Wang, Runze Li
A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces. J. Mach. Learn. Res. 17 (2016)
Dehan Kong, Howard D. Bondell, Yichao Wu
Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. 83 (2015)
Tong Tong Wu, Yichao Wu
Nonlinear vertex discriminant analysis with reproducing kernels. Stat. Anal. Data Min. 5 (2) (2012)
Jianqing Fan, Richard Samworth, Yichao Wu
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. 10 (2009)