Yichao Wu - RankMe

86 papers A* 16A 1B 5C 1Journal 56Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A renaissance of explicit motion information mining from transformers for action recognition. Pattern Recognit. Peiqin Zhuang, Lei Bai, Yichao Wu, Ding Liang, Luping Zhou, Yali Wang, Wanli Ouyang
2026	J	`jnl`	DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation. CoRR Penghao Liang, Mengwei Yuan, Jianan Liu, Jing Yang, Xianyou Li, Weiran Yan, Yichao Wu
2026	J	`jnl`	Enhancing security in deep reinforcement learning: A comprehensive survey on adversarial attacks and defenses. Neurocomputing Yichao Wu, Yirui Wang, Hailong Wang, Bingqian Zhu, Panpan Ding, Chun Liu
2026	J	`jnl`	Language-based Trial and Error Falls Behind in the Era of Experience. CoRR Haoyu Wang, Guozheng Ma, Shugang Cui, Yilun Kong, Haotian Luo, Li Shen, Mengya Gao, Yichao Wu, Xiaogang Wang, Dacheng Tao
2026	J	`jnl`	TA-Mem: Tool-Augmented Autonomous Memory Retrieval for LLM in Long-Term Conversational QA. CoRR Mengwei Yuan, Jianan Liu, Jing Yang, Xianyou Li, Weiran Yan, Yichao Wu, Penghao Liang
2026	J	`jnl`	Tiny-Critic RAG: Empowering Agentic Fallback with Parameter-Efficient Small Language Models. CoRR Yichao Wu, Penghao Liang, Yafei Xiang, Mengwei Yuan, Jianan Liu, Jing Yang, Xianyou Li, Weiran Yan
2025	J	`jnl`	A Renaissance of Explicit Motion Information Mining from Transformers for Action Recognition. CoRR Peiqin Zhuang, Lei Bai, Yichao Wu, Ding Liang, Luping Zhou, Yali Wang, Wanli Ouyang
2025	J	`jnl`	Basis Choices for Frequency Domain Statistical Independence Tests and Algorithms for Algebraic Relation Extraction. CoRR Juan Shi, Wenbo Wang, Wan Zhang, Han Bao, Sergio Chavez, Jingfang Huang, Yichao Wu, Kai Zhang
2025	J	`jnl`	Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses. CoRR Yichao Wu, Yirui Wang, Panpan Ding, Hailong Wang, Bingqian Zhu, Chun Liu
2025	J	`jnl`	Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs. CoRR Ziliang Wang, Kang An, Xuhui Zheng, FaQiang Qian, Wenjun Zhang, Cijun Ouyang, Jialu Cai, Yuhang Wang, Yichao Wu
2025	J	`jnl`	MMRPT: MultiModal Reinforcement Pre-Training via Masked Vision-Dependent Reasoning. CoRR Xuhui Zheng, Kang An, Ziliang Wang, Yuhang Wang, FaQiang Qian, Yichao Wu
2025	J	`jnl`	Quadratic Formula-based Nonlinear Approximation. CoRR Ziqin He, Can Chen, Min Hyung Cho, Jingfang Huang, Yichao Wu
2025	J	`jnl`	Robust face anti-spoofing with Dual Probabilistic Modeling. Pattern Recognit. Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu
2025	A*	`conf`	StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization. EMNLP Xuhui Zheng, Kang An, Ziliang Wang, Yuhang Wang, Yichao Wu
2025	J	`jnl`	StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization. CoRR Ziliang Wang, Xuhui Zheng, Kang An, Cijun Ouyang, Jialu Cai, Yuhang Wang, Yichao Wu
2025	J	`jnl`	UniAPL: A Unified Adversarial Preference Learning Framework for Instruct-Following. CoRR FaQiang Qian, Weikun Zhang, Ziliang Wang, Kang An, Xuhui Zheng, Liangjian Wen, Mengya Gao, Yong Dai, Yichao Wu
2024	J	`jnl`	A Unified Approach to Variable Selection for Partially Linear Models. J. Comput. Graph. Stat. Youhan Lu, Yushen Dong, Juan Hu, Yichao Wu
2024	J	`jnl`	Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations. CoRR Xiaonan Xu, Yichao Wu, Penghao Liang, Yuhang He, Han Wang
2024	J	`jnl`	LoRA-SP: Streamlined Partial Parameter Adaptation for Resource-Efficient Fine-Tuning of Large Language Models. CoRR Yichao Wu, Yafei Xiang, Shuning Huo, Yulu Gong, Penghao Liang
2024	J	`jnl`	Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems. CoRR Chenxi Shi, Penghao Liang, Yichao Wu, Tong Zhan, Zhengyu Jin
2024	—	`conf`	Noise Reduction in Capacitive ECG Measurements by Dedicated Modelling and Kalman Filtering. MeMeA Runwei Lin, Yichao Wu, Anyi Cheng, Yaodan Xu, Lin Xu
2024	J	`jnl`	Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training. CoRR Junqin Huang, Zhongjie Hu, Zihao Jing, Mengya Gao, Yichao Wu
2024	J	`jnl`	RNA Secondary Structure Prediction Using Transformer-Based Deep Learning Models. CoRR Yanlin Zhou, Tong Zhan, Yichao Wu, Bo Song, Chenxi Shi
2024	J	`jnl`	Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis. CoRR Yichao Wu, Zhengyu Jin, Chenxi Shi, Penghao Liang, Tong Zhan
2024	J	`jnl`	ViTCN: Vision Transformer Contrastive Network For Reasoning. CoRR Bo Song, Yuanhao Xu, Yichao Wu
2023	J	`jnl`	AutoIoT: Automatically Updated IoT Device Identification With Semi-Supervised Learning. IEEE Trans. Mob. Comput. Linna Fan, Lin He, Yichao Wu, Shize Zhang, Zhiliang Wang, Jia Li, Jiahai Yang, Chaocan Xiang, Xiaoqian Ma
2023	A*	`conf`	ICD-Face: Intra-class Compactness Distillation for Face Recognition. ICCV Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang
2023	A*	`conf`	Improving Robust Fariness via Balance Adversarial Training. AAAI Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2023	A*	`conf`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Latent Distribution Adjusting for Face Anti-Spoofing. CoRR Qinghong Sun, Zhenfei Yin, Yichao Wu, Yuanhan Zhang, Jing Shao
2023	J	`jnl`	Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework. CoRR Ruijia Wu, Yuhang Wang, Huafeng Shi, Zhipeng Yu, Yichao Wu, Ding Liang
2023	B	`conf`	Which Doors Are Open: Reinforcement Learning-based Internet-wide Port Scanning. IWQoS Guanglei Song, Lin He, Tianyun Zhao, Yirui Luo, Yichao Wu, Linna Fan, Chenglong Li, Zhiliang Wang, Jiahai Yang
2022	J	`jnl`	Adaptive Perturbation Generation for Multiple Backdoors Detection. CoRR Yuhang Wang, Huafeng Shi, Rui Min, Ruijia Wu, Siyuan Liang, Yichao Wu, Ding Liang, Aishan Liu
2022	J	`jnl`	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. Chaowen Zheng, Zhuochao Tang, Jingfang Huang, Yichao Wu
2022	A*	`conf`	AnchorFace: Boosting TAR@FAR for Practical Face Recognition. AAAI Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang
2022	—	`conf`	Construction of rail wear and crack initiation prediction model combined with BP neural network. ISCSIC Yichao Wu, Shuying Wang
2022	—	`conf`	CoupleFace: Relation Matters for Face Recognition Distillation. ECCV (12) Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
2022	J	`jnl`	CoupleFace: Relation Matters for Face Recognition Distillation. CoRR Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
2022	A*	`conf`	DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. NeurIPS Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
2022	J	`jnl`	DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection. CoRR Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
2022	J	`jnl`	Fréchet kernel sliced inverse regression. J. Multivar. Anal. Yushen Dong, Yichao Wu
2022	J	`jnl`	Improving Robust Fairness via Balance Adversarial Training. CoRR Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2022	A*	`conf`	Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation. AAAI Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
2022	—	`conf`	OneFace: One Threshold for All. ECCV (12) Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu
2022	—	`conf`	PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. ECCV (9) Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang
2022	J	`jnl`	PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection. CoRR Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
2022	J	`jnl`	Robust Face Anti-Spoofing with Dual Probabilistic Modeling. CoRR Yuanhan Zhang, Yichao Wu, Zhenfei Yin, Jing Shao, Ziwei Liu
2022	C	`conf`	WebIoT: Classifying Internet of Things Devices at Internet Scale through Web Characteristics. ISCC Yichao Wu, Chenglong Li, Jiahai Yang, Zhiliang Wang, Wei Hu, Ang Xia, Yong Jiang, Yao Wang, Liuli Wu
2022	J	`jnl`	Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order. IEEE Trans. Netw. Serv. Manag. Qing Li, Yichao Wu, Jingpu Duan, Jiahai Yang, Yong Jiang
2021	J	`jnl`	Block Proposal Neural Architecture Search. IEEE Trans. Image Process. Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu
2021	J	`jnl`	Can't Ridge Regression Perform Variable Selection? Technometrics Yichao Wu
2021	A*	`conf`	DAM: Discrepancy Alignment Metric for Face Recognition. ICCV Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang
2021	A*	`conf`	Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs. NeurIPS Zihang Meng, Lopamudra Mukherjee, Yichao Wu, Vikas Singh, Sathya N. Ravi
2021	J	`jnl`	INTERN: A New Learning Paradigm Towards General Vision. CoRR 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
2021	J	`jnl`	Inter-class Discrepancy Alignment for Face Recognition. CoRR Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan
2021	J	`jnl`	Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation. CoRR Gang Li, Xiang Li, Yujie Wang, Shanshan Zhang, Yichao Wu, Ding Liang
2021	J	`jnl`	One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data. CoRR Yujie Wang, Junqin Huang, Mengya Gao, Yichao Wu, Zhenfei Yin, Ding Liang, Junjie Yan
2020	B	`conf`	An IoT Device Identification Method based on Semi-supervised Learning. CNSM Linna Fan, Shize Zhang, Yichao Wu, Zhiliang Wang, Chenxin Duan, Jia Li, Jiahai Yang
2020	—	`conf`	Companion Guided Soft Margin for Face Recognition. ECML/PKDD (3) Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu
2020	B	`conf`	Dynamic Multi-path Neural Network. ICPR Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu
2020	B	`conf`	Face Image Quality Assessment for Model and Human Perception. ICPR Ken Chen, Yichao Wu, Zhenmao Li, Yudong Wu, Ding Liang
2020	A*	`conf`	Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework. AAAI Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan
2020	A*	`conf`	Online Knowledge Distillation via Collaborative Learning. CVPR Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo
2020	A*	`conf`	Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
2019	J	`jnl`	Context-aware Dynamic Block. CoRR Yingcheng Su, Shunfeng Zhou, Yichao Wu, Xuebo Liu, Tian Su, Ding Liang, Junjie Yan
2019	A*	`conf`	Correlation Congruence for Knowledge Distillation. ICCV Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu
2019	J	`jnl`	Correlation Congruence for Knowledge Distillation. CoRR Baoyun Peng, Xiao Jin, Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Yu Liu, Dongsheng Li, Zhaoning Zhang
2019	A*	`conf`	Dynamic Recursive Neural Network. CVPR Qiushan Guo, Zhipeng Yu, Yichao Wu, Ding Liang, Haoyu Qin, Junjie Yan
2019	J	`jnl`	Editorial for the special issue on High-dimensional and functional data analysis. Comput. Stat. Data Anal. Frédéric Ferraty, Piotr Kokoszka, Jane-Ling Wang, Yichao Wu
2019	—	`conf`	Geometry Guided Feature Aggregation in Video Face Recognition. ICCV Workshops Baoyun Peng, Xiao Jin, Yichao Wu, Dongsheng Li
2019	B	`conf`	Hepatic Lesion Segmentation by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net. ICIP Yichao Wu, Qiang Zhou, Haoji Hu, Guanghua Rong, Yongwu Li, Shiyan Wang
2019	A*	`conf`	Knowledge Distillation via Route Constrained Optimization. ICCV Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019	J	`jnl`	Knowledge Distillation via Route Constrained Optimization. CoRR Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019	J	`jnl`	LAW: Learning to Auto Weight. CoRR Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan
2019	A*	`conf`	R3 Adversarial Network for Cross Model Face Recognition. CVPR Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan
2018	J	`jnl`	Functional envelope for model-free sufficient dimension reduction. J. Multivar. Anal. Xin Zhang, Chong Wang, Yichao Wu
2017	A	`conf`	Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks. ICDAR Zhuo Chen, Yichao Wu, Fei Yin, Cheng-Lin Liu
2017	J	`jnl`	The robust EM-type algorithms for log-concave mixtures of regression models. Comput. Stat. Data Anal. Hao Hu, Weixin Yao, Yichao Wu
2016	J	`jnl`	A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces. J. Mach. Learn. Res. Xiang Zhang, Yichao Wu, Lan Wang, Runze Li
2016	J	`jnl`	An Error Bound for L1-norm Support Vector Machine Coefficients in Ultra-high Dimension. J. Mach. Learn. Res. Bo Peng, Lan Wang, Yichao Wu
2016	J	`jnl`	Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. Hao Hu, Yichao Wu, Weixin Yao
2016	J	`jnl`	On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint. J. Mach. Learn. Res. Chong Zhang, Yufeng Liu, Yichao Wu
2015	J	`jnl`	Domain selection for the varying coefficient model via local polynomial regression. Comput. Stat. Data Anal. Dehan Kong, Howard D. Bondell, Yichao Wu
2012	J	`jnl`	Nonlinear vertex discriminant analysis with reproducing kernels. Stat. Anal. Data Min. Tong Tong Wu, Yichao Wu
2009	J	`jnl`	Ultrahigh Dimensional Feature Selection: Beyond The Linear Model. J. Mach. Learn. Res. Jianqing Fan, Richard Samworth, Yichao Wu