Xi Yang - RankMe

77 papers A* 10A 2B 1Journal 50Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From 2D Images to 3D Model: Segmenting and Reconstructing Acne for Robust Skin Lesion Analysis. Cogn. Comput. Chengrui Zhang, Zhaorui Tan, Xi Yang, Liqiong Yuan, Zhanbao Su, Amir Hussain, Yifei Zhang, Bin Dong, Jie Sun, Kaizhu Huang
2026	J	`jnl`	Lena-TRNN: Exploring energy flow for time series prediction. Neural Networks Penglei Gao, Rui Zhang, Xi Yang, Zhuang Qian, Kaizhu Huang
2026	J	`jnl`	MedMAP: Promoting Incomplete Multi-Modal Brain Tumor Segmentation With Alignment. IEEE J. Biomed. Health Informatics Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang
2025	—	`conf`	A Novel Bi-environmental Intuitionistic Fuzzy C-Means Clustering Algorithm. ICONIP (1) Yihao Zhang, Youpeng Yang, Hao Lan Zhang, Dongming Lu, Taoyu Wu, Xi Yang
2025	J	`jnl`	Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors. CoRR Chenru Jiang, Chengrui Zhang, Xi Yang, Jie Sun, Yifei Zhang, Bin Dong, Kaizhu Huang
2025	A*	`conf`	Disentangling Tabular Data Towards Better One-Class Anomaly Detection. AAAI Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang
2025	—	`conf`	Entropy-Guided Distillation for Medical Image Segmentation Under Missing Modalities. ICONIP (5) Jinming Zhang, Yuyao Yan, Xi Yang, Kaizhu Huang
2025	J	`jnl`	Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification. CoRR Zhaorui Tan, Tan Pan, Kaizhu Huang, Weimiao Yu, Kai Yao, Chen Jiang, Qiu-Feng Wang, Anh Nguyen, Xin Guo, Yuan Cheng, Xi Yang
2025	A	`conf`	From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion. ICME Weiguang Zhao, Chaolong Yang, Jianan Ye, Rui Zhang, Yuyao Yan, Xi Yang, Bin Dong, Amir Hussain, Kaizhu Huang
2025	A*	`conf`	PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. CVPR Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang
2025	J	`jnl`	Rethinking Cross-Generator Image Forgery Detection through DINOv3. CoRR Zhenglin Huang, Jason Li, Haiquan Wen, Tianxiao Li, Xi Yang, Lu Qi, Bei Peng, Xiaowei Huang, Ming-Hsuan Yang, Guangliang Cheng
2025	J	`jnl`	Revisiting 3D point cloud analysis with Markov process. Pattern Recognit. Chenru Jiang, Wuwei Ma, Kaizhu Huang, Qiufeng Wang, Xi Yang, Weiguang Zhao, Junwei Wu, Xinheng Wang, Jimin Xiao, Zhenxing Niu
2025	J	`jnl`	SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2025	J	`jnl`	Saving for the future: Enhancing generalization via partial logic regularization. CoRR Zhaorui Tan, Yijie Hu, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2025	J	`jnl`	So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection. CoRR Zhenglin Huang, Tianxiao Li, Xiangtai Li, Haiquan Wen, Yiwei He, Jiangning Zhang, Hao Fei, Xi Yang, Xiaowei Huang, Bei Peng, Guangliang Cheng
2025	—	`conf`	Stock Price Prediction with Attention-Based Framework by Integrating LLM-Generated Features. ICONIP (5) Yining Sun, Penglei Gao, Yuyao Yan, Xi Yang
2025	A*	`conf`	Towards Training-Free Open-World Classification with 3D Generative Models. ACM Multimedia Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2025	J	`jnl`	Towards Training-Free Open-World Classification with 3D Generative Models. CoRR Xinzhe Xia, Weiguang Zhao, Yuyao Yan, Guanyu Yang, Rui Zhang, Kaizhu Huang, Xi Yang
2024	J	`jnl`	Continuous Image Outpainting with Neural ODE. ACM Trans. Multim. Comput. Commun. Appl. Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2024	J	`jnl`	Decentralizing Test-time Adaptation under Heterogeneous Data Streams. CoRR Zixian Su, Jingwei Guo, Xi Yang, Qiufeng Wang, Kaizhu Huang
2024	J	`jnl`	Disentangling Tabular Data towards Better One-Class Anomaly Detection. CoRR Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang
2024	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction With Exogenous Variables. IEEE Trans. Cybern. Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Yannis Goulermas, Kaizhu Huang
2024	—	`conf`	Enhancing Semantic Segmentation in Open Compound Domain Adaptation Through Mixed Image and Epistemic Uncertainty. ICONIP (11) Yiqun Ma, Wenrui Wang, Siyuan Wang, Xi Yang, Yuyao Yan
2024	J	`jnl`	Instance-Specific Model Perturbation Improves Generalized Zero-Shot Learning. Neural Comput. Guanyu Yang, Kaizhu Huang, Rui Zhang, Xi Yang
2024	A*	`conf`	Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. NeurIPS Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2024	J	`jnl`	Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. CoRR Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
2024	J	`jnl`	MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment. CoRR Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang
2024	—	`conf`	Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. BIBM Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang
2024	J	`jnl`	Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. CoRR Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang
2024	J	`jnl`	Navigating Distribution Shifts in Medical Image Analysis: A Survey. CoRR Zixian Su, Jingwei Guo, Xi Yang, Qiu-Feng Wang, Frans Coenen, Kaizhu Huang
2024	J	`jnl`	PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection. CoRR Jianan Ye, Weiguang Zhao, Xi Yang, Guangliang Cheng, Kaizhu Huang
2024	J	`jnl`	Personalize to generalize: Towards a universal medical multi-modality generalization through personalization. CoRR Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng
2024	A*	`conf`	Rethinking Multi-Domain Generalization with A General Learning Objective. CVPR Zhaorui Tan, Xi Yang, Kaizhu Huang
2024	J	`jnl`	Rethinking Multi-domain Generalization with A General Learning Objective. CoRR Zhaorui Tan, Xi Yang, Kaizhu Huang
2024	J	`jnl`	Revisiting Mutual Information Maximization for Generalized Category Discovery. CoRR Zhaorui Tan, Chengrui Zhang, Xi Yang, Jie Sun, Kaizhu Huang
2024	J	`jnl`	SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation. CoRR Kai Yao, Zhaorui Tan, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2024	J	`jnl`	SaliencyCut: Augmenting plausible anomalies for anomaly detection. Pattern Recognit. Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
2024	A*	`conf`	Semantic-Aware Data Augmentation for Text-to-Image Synthesis. AAAI Zhaorui Tan, Xi Yang, Kaizhu Huang
2024	A*	`conf`	Unraveling Batch Normalization for Realistic Test-Time Adaptation. AAAI Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang
2023	—	`conf`	Adversarial Example Detection with Latent Representation Dynamic Prototype. ICONIP (4) Taowen Wang, Zhuang Qian, Xi Yang
2023	—	`conf`	Cipher-Prompt: Towards a Safe Diffusion Model via Learning Cryptographic Prompts. BICS Sidong Jiang, Siyuan Wang, Rui Zhang, Xi Yang, Kaizhu Huang
2023	A*	`conf`	Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. ICCV Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang
2023	J	`jnl`	Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. IEEE Trans. Knowl. Data Eng. Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas
2023	A	`conf`	Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. CIKM Kai Yao, Zixian Su, Xi Yang, Jie Sun, Kaizhu Huang
2023	J	`jnl`	Generalized image outpainting with U-transformer. Neural Networks Penglei Gao, Xi Yang, Rui Zhang, John Yannis Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
2023	J	`jnl`	Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Jie Sun, Kaizhu Huang
2023	—	`conf`	PAG: Protecting Artworks from Personalizing Image Generative Models. ICONIP (4) Zhaorui Tan, Siyuan Wang, Xi Yang, Kaizhu Huang
2023	A*	`conf`	Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. AAAI Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun
2023	J	`jnl`	SaliencyCut: Augmenting Plausible Anomalies for Open-set Fine-Grained Anomaly Detection. CoRR Jianan Ye, Yijie Hu, Xi Yang, Qiu-Feng Wang, Chao Huang, Kaizhu Huang
2023	J	`jnl`	Semantic Similarity Distance: Towards better text-image consistency metric in text-to-image generation. Pattern Recognit. Zhaorui Tan, Xi Yang, Zihan Ye, Qiufeng Wang, Yuyao Yan, Anh Nguyen, Kaizhu Huang
2023	J	`jnl`	Semantic-aware Data Augmentation for Text-to-image Synthesis. CoRR Zhaorui Tan, Xi Yang, Kaizhu Huang
2023	—	`conf`	Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. ICONIP (15) Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Bin Dong, Kaizhu Huang
2023	J	`jnl`	Towards better long-tailed oracle character recognition with adversarial data augmentation. Pattern Recognit. Jing Li, Qiu-Feng Wang, Kaizhu Huang, Xi Yang, Rui Zhang, John Yannis Goulermas
2023	J	`jnl`	Unraveling Batch Normalization for Realistic Test-Time Adaptation. CoRR Zixian Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang
2022	J	`jnl`	3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization. CoRR Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
2022	—	`conf`	3D Random Occlusion and Multi-layer Projection for Deep Multi-camera Pedestrian Localization. ECCV (10) Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
2022	J	`jnl`	A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen
2022	J	`jnl`	Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. CoRR Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang
2022	J	`jnl`	EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. CoRR Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas
2022	J	`jnl`	From 2D Images to 3D Model: Weakly Supervised Multi-View Face Reconstruction with Deep Fusion. CoRR Weiguang Zhao, Chaolong Yang, Jianan Ye, Yuyao Yan, Xi Yang, Kaizhu Huang
2022	J	`jnl`	Generalised Image Outpainting with U-Transformer. CoRR Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, Yujie Geng
2022	J	`jnl`	Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation. CoRR Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang
2022	—	`conf`	Outpainting by Queries. ECCV (23) Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang
2022	J	`jnl`	Outpainting by Queries. CoRR Kai Yao, Penglei Gao, Xi Yang, Kaizhu Huang, Jie Sun, Rui Zhang
2022	J	`jnl`	Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation. CoRR Zixian Su, Kai Yao, Xi Yang, Qiufeng Wang, Jie Sun, Kaizhu Huang
2022	J	`jnl`	Towards Better Text-Image Consistency in Text-to-Image Generation. CoRR Zhaorui Tan, Zihan Ye, Xi Yang, Qiufeng Wang, Yuyao Yan, Kaizhu Huang
2022	J	`jnl`	Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation. CoRR Chaolong Yang, Yuyao Yan, Weiguang Zhao, Jianan Ye, Xi Yang, Amir Hussain, Kaizhu Huang
2020	J	`jnl`	Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction. CoRR Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang
2019	J	`jnl`	A Novel Deep Density Model for Unsupervised Learning. Cogn. Comput. Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2019	A*	`conf`	VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. ICDM Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang
2018	J	`jnl`	A new two-layer mixture of factor analyzers with joint factor loading model for the classification of small dataset problems. Neurocomputing Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas, Amir Hussain
2018	J	`jnl`	Learning Latent Features With Infinite Nonnegative Binary Matrix Trifactorization. IEEE Trans. Emerg. Top. Comput. Intell. Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2017	—	`conf`	Deep Mixtures of Factor Analyzers with Common Loadings: A Novel Deep Generative Approach to Clustering. ICONIP (1) Xi Yang, Kaizhu Huang, Rui Zhang
2017	J	`jnl`	Joint Learning of Unsupervised Dimensionality Reduction and Gaussian Mixture Model. Neural Process. Lett. Xi Yang, Kaizhu Huang, John Yannis Goulermas, Rui Zhang
2016	—	`conf`	Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization. ICONIP (1) Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain
2015	B	`conf`	Two-layer Mixture of Factor Analyzers with Joint Factor Loading. IJCNN Xi Yang, Kaizhu Huang, Rui Zhang, John Yannis Goulermas
2014	—	`conf`	Unsupervised Dimensionality Reduction for Gaussian Mixture Model. ICONIP (2) Xi Yang, Kaizhu Huang, Rui Zhang