Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. - Jianqing Fan; Richard Samworth; Yichao Wu (J. Mach. Learn. Res., 2009)

Nonlinear vertex discriminant analysis with reproducing kernels. - Tong Tong Wu; Yichao Wu (Stat. Anal. Data Min., 2012)

Domain selection for the varying coefficient model via local polynomial regression. - Dehan Kong; Howard D. Bondell; Yichao Wu (Comput. Stat. Data Anal., 2015)

Maximum likelihood estimation of the mixture of log-concave densities. - Hao Hu; Yichao Wu; Weixin Yao (Comput. Stat. Data Anal., 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)

On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint. - Chong Zhang; Yufeng Liu; Yichao Wu (J. Mach. Learn. Res., 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)

Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks. - Zhuo Chen; Yichao Wu; Fei Yin; Cheng-Lin Liu 001 (ICDAR, 2017)

The robust EM-type algorithms for log-concave mixtures of regression models. - Hao Hu; Weixin Yao; Yichao Wu (Comput. Stat. Data Anal., 2017)

Functional envelope for model-free sufficient dimension reduction. - Xin Zhang; Chong Wang; Yichao Wu (J. Multivar. Anal., 2018)

R3 Adversarial Network for Cross Model Face Recognition. - Ken Chen; Yichao Wu; Haoyu Qin; Ding Liang; Xuebo Liu 001; Junjie Yan (CVPR, 2019)

Dynamic Recursive Neural Network. - Qiushan Guo; Zhipeng Yu; Yichao Wu; Ding Liang; Haoyu Qin; Junjie Yan (CVPR, 2019)

Knowledge Distillation via Route Constrained Optimization. - Xiao Jin; Baoyun Peng; Yichao Wu; Yu Liu 015; Jiaheng Liu; Ding Liang; Junjie Yan; Xiaolin Hu 001 (ICCV, 2019)

Correlation Congruence for Knowledge Distillation. - Baoyun Peng; Xiao Jin; Dongsheng Li 001; Shunfeng Zhou; Yichao Wu; Jiaheng Liu; Zhaoning Zhang 001; Yu Liu 015 (ICCV, 2019)

Geometry Guided Feature Aggregation in Video Face Recognition. - Baoyun Peng; Xiao Jin; Yichao Wu; Dongsheng Li 001 (ICCV Workshops, 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 (ICIP, 2019)

Context-aware Dynamic Block. - Yingcheng Su; Shunfeng Zhou; Yichao Wu; Xuebo Liu 001; Tian Su; Ding Liang; Junjie Yan (CoRR, 2019)

LAW: Learning to Auto Weight. - Zhenmao Li; Yichao Wu; Ken Chen; Yudong Wu; Shunfeng Zhou; Jiaheng Liu; Junjie Yan (CoRR, 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)

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 (AAAI, 2020)

An IoT Device Identification Method based on Semi-supervised Learning. - Linna Fan; Shize Zhang; Yichao Wu; Zhiliang Wang; Chenxin Duan; Jia Li 033; Jiahai Yang 001 (CNSM, 2020)

Online Knowledge Distillation via Collaborative Learning. - Qiushan Guo; Xinjiang Wang; Yichao Wu; Zhipeng Yu; Ding Liang; Xiaolin Hu 001; Ping Luo 002 (CVPR, 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 001; Xianglong Liu 001; Junjie Yan (CVPR, 2020)

Face Image Quality Assessment for Model and Human Perception. - Ken Chen; Yichao Wu; Zhenmao Li; Yudong Wu; Ding Liang (ICPR, 2020)

Dynamic Multi-path Neural Network. - Yingcheng Su; Yichao Wu; Ken Chen; Ding Liang; Xiaolin Hu 001 (ICPR, 2020)

Companion Guided Soft Margin for Face Recognition. - Yingcheng Su; Yichao Wu; Zhenmao Li; Qiushan Guo; Ken Chen; Junjie Yan; Ding Liang; Xiaolin Hu 001 (ECML/PKDD (3), 2020)

DAM: Discrepancy Alignment Metric for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Chuming Li; Xiaolin Hu 001; Ding Liang; Mengyu Wang (ICCV, 2021)

Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. - Zihang Meng; Lopamudra Mukherjee; Yichao Wu; Vikas Singh; Sathya N. Ravi (NeurIPS, 2021)

Inter-class Discrepancy Alignment for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Zhenmao Li; Ken Chen; Ding Liang; Junjie Yan (CoRR, 2021)

INTERN: A New Learning Paradigm Towards General Vision. - Jing Shao; Siyu Chen; Yangguang Li 001; Kun Wang; Zhenfei Yin; Yinan He; Jianing Teng; Qinghong Sun; Mengya Gao; Jihao Liu; Gengshi Huang; Guanglu Song; et al. (CoRR, 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)

Can't Ridge Regression Perform Variable Selection? - Yichao Wu (Technometrics, 2021)

Block Proposal Neural Architecture Search. - Jiaheng Liu; Shunfeng Zhou; Yichao Wu; Ken Chen; Wanli Ouyang; Dong Xu 001 (IEEE Trans. Image Process., 2021)

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. - Gang Li; Xiang Li 041; Yujie Wang; Shanshan Zhang 001; Yichao Wu; Ding Liang (AAAI, 2022)

AnchorFace: Boosting TAR@FAR for Practical Face Recognition. - Jiaheng Liu; Haoyu Qin; Yichao Wu; Ding Liang (AAAI, 2022)

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. - Gang Li; Xiang Li 041; Yujie Wang; Yichao Wu; Ding Liang; Shanshan Zhang 001 (ECCV (9), 2022)

CoupleFace: Relation Matters for Face Recognition Distillation. - Jiaheng Liu; Haoyu Qin; Yichao Wu; Jinyang Guo; Ding Liang; Ke Xu 001 (ECCV (12), 2022)

OneFace: One Threshold for All. - Jiaheng Liu; Zhipeng Yu; Haoyu Qin; Yichao Wu; Ding Liang; Gangming Zhao; Ke Xu 001 (ECCV (12), 2022)

WebIoT: Classifying Internet of Things Devices at Internet Scale through Web Characteristics. - Yichao Wu; Chenglong Li 006; Jiahai Yang 001; Zhiliang Wang; Wei Hu; Ang Xia; Yong Jiang 001; Yao Wang; Liuli Wu (ISCC, 2022)

Construction of rail wear and crack initiation prediction model combined with BP neural network. - Yichao Wu; Shuying Wang (ISCSIC, 2022)

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. - Gang Li; Xiang Li 041; Yujie Wang; Yichao Wu; Ding Liang; Shanshan Zhang 001 (NeurIPS, 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)

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)

Improving Robust Fairness via Balance Adversarial Training. - Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; Xianglong Liu 001; Aishan Liu (CoRR, 2022)

Fréchet kernel sliced inverse regression. - Yushen Dong; Yichao Wu (J. Multivar. Anal., 2022)

Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order. - Qing Li 006; Yichao Wu; Jingpu Duan; Jiahai Yang 001; Yong Jiang 001 (IEEE Trans. Netw. Serv. Manag., 2022)

Improving Robust Fariness via Balance Adversarial Training. - Chunyu Sun; Chenye Xu; Chengyuan Yao; Siyuan Liang; Yichao Wu; Ding Liang; Xianglong Liu 001; Aishan Liu (AAAI, 2023)

ICD-Face: Intra-class Compactness Distillation for Face Recognition. - Zhipeng Yu; Jiaheng Liu; Haoyu Qin; Yichao Wu; Kun Hu; Jiayi Tian; Ding Liang (ICCV, 2023)

Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning. - Guanglei Song; Lin He 004; Tianyun Zhao; Yirui Luo; Yichao Wu; Linna Fan; Chenglong Li 006; Zhiliang Wang; Jiahai Yang 001 (IWQoS, 2023)

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. - Jun Guo 009; Xingyu Zheng; Aishan Liu; Siyuan Liang; Yisong Xiao; Yichao Wu; Xianglong Liu 001 (ACM Multimedia, 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)

Latent Distribution Adjusting for Face Anti-Spoofing. - Qinghong Sun; Zhenfei Yin; Yichao Wu; Yuanhan Zhang; Jing Shao (CoRR, 2023)

AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning. - Linna Fan; Lin He 004; Yichao Wu; Shize Zhang; Zhiliang Wang; Jia Li 033; Jiahai Yang 001; Chaocan Xiang; Xiaoqian Ma (IEEE Trans. Mob. Comput., 2023)

Noise Reduction in Capacitive ECG Measurements by Dedicated Modelling and Kalman Filtering. - Runwei Lin; Yichao Wu; Anyi Cheng; Yaodan Xu; Lin Xu (MeMeA, 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)

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)

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)

ViTCN: Vision Transformer Contrastive Network For Reasoning. - Bo Song; Yuanhao Xu; Yichao Wu (CoRR, 2024)

Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems. - Chenxi Shi; Penghao Liang; Yichao Wu; Tong Zhan; Zhengyu Jin (CoRR, 2024)

RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models. - Yanlin Zhou; Tong Zhan; Yichao Wu; Bo Song; Chenxi Shi (CoRR, 2024)

Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training. - Junqin Huang; Zhongjie Hu; Zihao Jing; Mengya Gao; Yichao Wu (CoRR, 2024)

A Unified Approach to Variable Selection for Partially Linear Models. - Youhan Lu; Yushen Dong; Juan Hu; Yichao Wu (J. Comput. Graph. Stat., 2024)

Robust face anti-spoofing with Dual Probabilistic Modeling. - Yuanhan Zhang; Yichao Wu; Zhenfei Yin; Jing Shao; Ziwei Liu 002 (Pattern Recognit., 2025)

StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization. - Ziliang Wang; Xuhui Zheng; Kang An; Cijun Ouyang; Jialu Cai; Yuhang Wang; Yichao Wu (CoRR, 2025)