Zhanxuan Hu - RankMe

46 papers A* 3B 1Journal 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid model for short-term GHI forecasting based on Crested Porcupine Optimizer optimized VMD combined with MSGNet. Expert Syst. Appl. Bingqian Wu, Xiaoqiao Huang, He Zhao, Chengli Li, Zhanxuan Hu, Yonghang Tai
2026	J	`jnl`	ConInfer: Context-Aware Inference for Training-Free Open-Vocabulary Remote Sensing Segmentation. CoRR Wenyang Chen, Zhanxuan Hu, Yaping Zhang, Hailong Ning, Yonghang Tai
2026	J	`jnl`	H-RSSG: High-Fidelity Robotic Surgical Scene Generation With Implicit Deformable Neural Radiance Field. IEEE Trans Autom. Sci. Eng. Qi Chen, Kai Qian, Zhanxuan Hu, Yonghang Tai, Zheng-Tao Yu
2026	J	`jnl`	HRTNet: Holistic registration theory-inspired network for camouflaged object detection. Neurocomputing Yueqi Zhao, Hailong Ning, Zhanxuan Hu, Tao Lei, Qiwei Liu, Ziyi Zhang, Asoke K. Nandi
2026	A*	`conf`	Learning Intrinsic Hierarchy for Generalized Category Discovery. AAAI Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao
2026	J	`jnl`	Molecular graph-based invariant representation learning with environmental inference and subgraph generation for out-of-distribution generalization. J. Cheminformatics Hang Zhu, Sisi Yuan, Mingjing Tang, Guifei Zhou, Zhanxuan Hu, Zhaoyang Liu, Jin Li, Jianmin Wang, Chunyan Li
2025	J	`jnl`	A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention. CoRR Qiyu Xu, Zhanxuan Hu, Yu Duan, Ercheng Pei, Yonghang Tai
2025	J	`jnl`	Classifier ensemble based source-free domain adaptation for time series classification. Knowl. Based Syst. Ercheng Pei, Wangdong Zhao, Zhanxuan Hu, Lang He, Hailong Ning, Haifeng Chen
2025	J	`jnl`	Hyperbolic Hierarchical Representation Learning for Generalized Category Discovery. IEEE Trans. Neural Networks Learn. Syst. Yu Duan, Feiping Nie, Huimin Chen, Zhanxuan Hu, Rong Wang, Xuelong Li
2025	J	`jnl`	Mutual-support generalized category discovery. Inf. Fusion Yu Duan, Zhanxuan Hu, Rong Wang, Zhensheng Sun, Feiping Nie, Xuelong Li
2025	J	`jnl`	OTFusion: Bridging Vision-only and Vision-Language Models via Optimal Transport for Transductive Zero-Shot Learning. CoRR Qiyu Xu, Wenyang Chen, Zhanxuan Hu, Huafeng Li, Yonghang Tai
2025	J	`jnl`	Prototypical classifier with distribution consistency regularization for generalized category discovery: A strong baseline. Neural Networks Zhanxuan Hu, Yu Duan, Yaming Zhang, Rong Wang, Feiping Nie
2025	J	`jnl`	Triangle Topology Enhancement for Multi-View Graph Clustering. IEEE Trans. Knowl. Data Eng. Danyang Wu, Penglei Wang, Jitao Lu, Zhanxuan Hu, Hongming Zhang, Feiping Nie
2024	J	`jnl`	An ensemble learning-enhanced multitask learning method for continuous affect recognition from facial images. Expert Syst. Appl. Ercheng Pei, Zhanxuan Hu, Lang He, Hailong Ning, Abel Díaz Berenguer
2024	A*	`conf`	Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration. AAAI Huafeng Li, Qingsong Hu, Zhanxuan Hu
2024	J	`jnl`	Diverse semantic information fusion for Unsupervised Person Re-Identification. Inf. Fusion Qingsong Hu, Huafeng Li, Zhanxuan Hu, Feiping Nie
2024	J	`jnl`	Interactive Supervision for New Intent Discovery. IEEE Signal Process. Lett. Zhanxuan Hu, Yan Xu, Lang He, Feiping Nie
2024	J	`jnl`	Interactive attack-defense for generalized person re-identification. Neural Networks Huafeng Li, Chen Zhang, Zhanxuan Hu, Yafei Zhang, Zhengtao Yu
2024	J	`jnl`	MAMCL: Multi-attributes Masking Contrastive Learning for explainable seismic facies analysis. Comput. Geosci. Long Han, Xinming Wu, Zhanxuan Hu, Jintao Li, Huijing Fang
2024	J	`jnl`	Neural collapse inspired semi-supervised learning with fixed classifier. Inf. Sci. Zhanxuan Hu, Yichen Wang, Hailong Ning, Yonghang Tai, Feiping Nie
2023	J	`jnl`	Discriminative Projected Clustering via Unsupervised LDA. IEEE Trans. Neural Networks Learn. Syst. Feiping Nie, Xia Dong, Zhanxuan Hu, Rong Wang, Xuelong Li
2023	J	`jnl`	Intermediary-Guided Bidirectional Spatial-Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Huafeng Li, Minghui Liu, Zhanxuan Hu, Feiping Nie, Zhengtao Yu
2023	J	`jnl`	Iteratively Re-Weighted Method for Sparsity-Inducing Norms. IEEE Trans. Knowl. Data Eng. Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang
2023	J	`jnl`	Mutual-Taught Deep Clustering. Knowl. Based Syst. Zhanxuan Hu, Yichen Wang, Hailong Ning, Danyang Wu, Feiping Nie
2023	J	`jnl`	Scale-wise interaction fusion and knowledge distillation network for aerial scene recognition. CAAI Trans. Intell. Technol. Hailong Ning, Tao Lei, Mengyuan An, Hao Sun, Zhanxuan Hu, Asoke K. Nandi
2023	J	`jnl`	Unsupervised Feature Selection With Weighted and Projected Adaptive Neighbors. IEEE Trans. Cybern. Zhengxin Li, Feiping Nie, Danyang Wu, Zhanxuan Hu, Xuelong Li
2022	J	`jnl`	Audio-visual collaborative representation learning for Dynamic Saliency Prediction. Knowl. Based Syst. Hailong Ning, Bin Zhao, Zhanxuan Hu, Lang He, Ercheng Pei
2022	J	`jnl`	Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising. IEEE Trans. Geosci. Remote. Sens. Jintao Li, Xinming Wu, Zhanxuan Hu
2022	J	`jnl`	Improved deep metric learning with local neighborhood component analysis. Inf. Sci. Danyang Wu, Han Wang, Zhanxuan Hu, Feiping Nie
2022	J	`jnl`	Multi-view clustering based on generalized low rank approximation. Neurocomputing Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2022	J	`jnl`	Robust Matrix Completion With Column Outliers. IEEE Trans. Cybern. Feiping Nie, Ziheng Li, Zhanxuan Hu, Rong Wang, Xuelong Li
2022	J	`jnl`	Robust Subspace Clustering With Low-Rank Structure Constraint. IEEE Trans. Knowl. Data Eng. Feiping Nie, Wei Chang, Zhanxuan Hu, Xuelong Li
2021	J	`jnl`	Generalization bottleneck in deep metric learning. Inf. Sci. Zhanxuan Hu, Danyang Wu, Feiping Nie, Rong Wang
2021	J	`jnl`	Learning to hash based on angularly discriminative embedding. Inf. Sci. Zhanxuan Hu, Shuzheng Hao, Feiping Nie, Rong Wang, Xuelong Li
2021	J	`jnl`	Low Rank Regularization: A review. Neural Networks Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021	J	`jnl`	Matrix completion with column outliers and sparse noise. Inf. Sci. Ziheng Li, Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2021	J	`jnl`	Multi-view clustering with interactive mechanism. Neurocomputing Danyang Wu, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, Xuelong Li
2020	J	`jnl`	Multi-view spectral clustering via integrating nonnegative embedding and spectral embedding. Inf. Fusion Zhanxuan Hu, Feiping Nie, Rong Wang, Xuelong Li
2020	J	`jnl`	Multi-view spectral clustering via sparse graph learning. Neurocomputing Zhanxuan Hu, Feiping Nie, Wei Chang, Shuzheng Hao, Rong Wang, Xuelong Li
2019	J	`jnl`	An Iteratively Re-weighted Method for Problems with Sparsity-Inducing Norms. CoRR Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Rong Wang, Xuelong Li, Heng Huang
2019	J	`jnl`	Matrix Completion Based on Non-Convex Low-Rank Approximation. IEEE Trans. Image Process. Feiping Nie, Zhanxuan Hu, Xuelong Li
2018	J	`jnl`	A Comprehensive Survey for Low Rank Regularization. CoRR Zhanxuan Hu, Feiping Nie, Lai Tian, Xuelong Li
2018	J	`jnl`	An investigation for loss functions widely used in machine learning. Commun. Inf. Syst. Feiping Nie, Zhanxuan Hu, Xuelong Li
2018	A*	`conf`	Calibrated Multi-Task Learning. KDD Feiping Nie, Zhanxuan Hu, Xuelong Li
2018	J	`jnl`	Matrix completion and vector completion via robust subspace learning. Neurocomputing Zhe Liu, Zhanxuan Hu, Feiping Nie
2018	B	`conf`	Robust Low Rank Approxiamtion via Inliers Selection. ICIP Zhanxuan Hu, Feiping Nie, Xuelong Li