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2020 – today
- 2024
[j17]Youhan Lu, Yushen Dong, Juan Hu, Yichao Wu:
A Unified Approach to Variable Selection for Partially Linear Models. J. Comput. Graph. Stat. 33(1): 250-260 (2024)- [c29]Runwei Lin, Yichao Wu, Anyi Cheng, Yaodan Xu, Lin Xu:
Noise Reduction in Capacitive ECG Measurements by Dedicated Modelling and Kalman Filtering. MeMeA 2024: 1-5 - [i24]Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang:
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations. CoRR abs/2403.02760 (2024) - [i23]Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan:
Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis. CoRR abs/2403.08217 (2024) - [i22]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 abs/2403.08822 (2024) - [i21]Bo Song, Yuanhao Xu, Yichao Wu:
ViTCN: Vision Transformer Contrastive Network For Reasoning. CoRR abs/2403.09962 (2024) - [i20]Chenxi Shi, Penghao Liang, Yichao Wu, Tong Zhan, Zhengyu Jin:
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems. CoRR abs/2404.00903 (2024) - [i19]Yanlin Zhou, Tong Zhan, Yichao Wu, Bo Song, Chenxi Shi:
RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models. CoRR abs/2405.06655 (2024) - [i18]Junqin Huang, Zhongjie Hu, Zihao Jing, Mengya Gao, Yichao Wu:
Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training. CoRR abs/2405.06932 (2024) - 2023
- [j16]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): 5769-5786 (2023) - [c28]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: 15161-15169 - [c27]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: 20985-20995 - [c26]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: 1-10 - [c25]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: 4178-4189 - [i17]Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang:
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework. CoRR abs/2305.03980 (2023) - [i16]Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao:
Latent Distribution Adjusting for Face Anti-Spoofing. CoRR abs/2305.09285 (2023) - [i15]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 abs/2308.00958 (2023) - 2022
- [j15]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): 71 (2022) - [j14]Yushen Dong, Yichao Wu:
Fréchet kernel sliced inverse regression. J. Multivar. Anal. 191: 105032 (2022) - [j13]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): 890-904 (2022) - [c24]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: 1306-1313 - [c23]Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang:
AnchorFace: Boosting TAR@FAR for Practical Face Recognition. AAAI 2022: 1711-1719 - [c22]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: 457-472 - [c21]Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu:
OneFace: One Threshold for All. ECCV (12) 2022: 545-561 - [c20]Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu:
CoupleFace: Relation Matters for Face Recognition Distillation. ECCV (12) 2022: 683-700 - [c19]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: 1-7 - [c18]Yichao Wu, Shuying Wang:
Construction of rail wear and crack initiation prediction model combined with BP neural network. ISCSIC 2022: 137-141 - [c17]Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang:
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. NeurIPS 2022 - [i14]Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang:
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. CoRR abs/2203.16317 (2022) - [i13]Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu:
CoupleFace: Relation Matters for Face Recognition Distillation. CoRR abs/2204.05502 (2022) - [i12]Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu:
Robust Face Anti-Spoofing with Dual Probabilistic Modeling. CoRR abs/2204.12685 (2022) - [i11]Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang:
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. CoRR abs/2207.05536 (2022) - [i10]Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu:
Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR abs/2209.05244 (2022) - [i9]Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu:
Improving Robust Fairness via Balance Adversarial Training. CoRR abs/2209.07534 (2022) - 2021
- [j12]Yichao Wu:
Can't Ridge Regression Perform Variable Selection? Technometrics 63(2): 263-271 (2021) - [j11]Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu:
Block Proposal Neural Architecture Search. IEEE Trans. Image Process. 30: 15-25 (2021) - [c16]Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang:
DAM: Discrepancy Alignment Metric for Face Recognition. ICCV 2021: 3794-3803 - [c15]Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi:
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS 2021: 29129-29141 - [i8]Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan:
Inter-class Discrepancy Alignment for Face Recognition. CoRR abs/2103.01559 (2021) - [i7]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 abs/2111.08687 (2021) - [i6]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 abs/2111.12386 (2021) - [i5]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 abs/2112.04840 (2021) - 2020
- [c14]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: 4788-4795 - [c13]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: 1-7 - [c12]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: 6865-6875 - [c11]Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo:
Online Knowledge Distillation via Collaborative Learning. CVPR 2020: 11017-11026 - [c10]Ken Chen, Yichao Wu, Zhenmao Li, Yudong Wu, Ding Liang:
Face Image Quality Assessment for Model and Human Perception. ICPR 2020: 3003-3010 - [c9]Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu:
Dynamic Multi-path Neural Network. ICPR 2020: 4137-4144 - [c8]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: 497-514
2010 – 2019
- 2019
- [j10]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: 10-11 (2019) - [c7]Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan:
Dynamic Recursive Neural Network. CVPR 2019: 5147-5156 - [c6]Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan:
R3 Adversarial Network for Cross Model Face Recognition. CVPR 2019: 9868-9876 - [c5]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. ICCV 2019: 1345-1354 - [c4]Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu:
Correlation Congruence for Knowledge Distillation. ICCV 2019: 5006-5015 - [c3]Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li:
Geometry Guided Feature Aggregation in Video Face Recognition. ICCV Workshops 2019: 2670-2677 - [c2]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: 255-259 - [i4]Yingcheng Su, Shunfeng Zhou, Yichao Wu, Xuebo Liu, Tian Su, Ding Liang, Junjie Yan:
Context-aware Dynamic Block. CoRR abs/1902.10949 (2019) - [i3]Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang:
Correlation Congruence for Knowledge Distillation. CoRR abs/1904.01802 (2019) - [i2]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. CoRR abs/1904.09149 (2019) - [i1]Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan:
LAW: Learning to Auto Weight. CoRR abs/1905.11058 (2019) - 2018
- [j9]Xin Zhang, Chong Wang, Yichao Wu:
Functional envelope for model-free sufficient dimension reduction. J. Multivar. Anal. 163: 37-50 (2018) - 2017
- [j8]Hao Hu, Weixin Yao, Yichao Wu:
The robust EM-type algorithms for log-concave mixtures of regression models. Comput. Stat. Data Anal. 111: 14-26 (2017) - [c1]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: 525-530 - 2016
- [j7]Hao Hu, Yichao Wu, Weixin Yao:
Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. 101: 137-147 (2016) - [j6]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: 16:1-16:26 (2016) - [j5]Chong Zhang, Yufeng Liu, Yichao Wu:
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint. J. Mach. Learn. Res. 17: 40:1-40:45 (2016) - [j4]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: 236:1-236:26 (2016) - 2015
- [j3]Dehan Kong, Howard D. Bondell, Yichao Wu:
Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. 83: 236-250 (2015) - 2012
- [j2]Tong Tong Wu, Yichao Wu:
Nonlinear vertex discriminant analysis with reproducing kernels. Stat. Anal. Data Min. 5(2): 167-176 (2012)
2000 – 2009
- 2009
- [j1]Jianqing Fan, Richard Samworth, Yichao Wu:
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. 10: 2013-2038 (2009)
Coauthor Index
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last updated on 2024-11-04 21:40 CET by the dblp team
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