Ruixuan Wang

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 97

Top Venues

Publications

Jingwei Li, Haipeng Zhang, Ruixuan Wang, Zhensheng Jia, Qing Li
Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications. OFC (2024)
Xiaoyuan Guan, Jiankang Chen, Shenshen Bu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang
Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. AAAI (2024)
Yufei Shi, Shishi Tang, Yuxuan Li, Zhipeng He, Shengsheng Tang, Ruixuan Wang, Wei-Shi Zheng, Ziyi Chen, Yi Zhou
Continual learning for seizure prediction via memory projection strategy. Comput. Biol. Medicine 181 (2024)
Guijin Han, Ruixuan Wang, Wuyan Xu, Jun Li
Night construction site detection based on ghost-YOLOX. Connect. Sci. 36 (1) (2024)
Chao Wu, Xiaobin Chang, Ruixuan Wang
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR (2024)
Shiqi Chen, Du Cai, Chenghang Li, Ruixuan Wang, Feng Gao
CVMIL: Cluster Variance Multiple Instance Learning for Whole Slide Images Survival Prediction. CVIPPR (2024)
Fudan Zheng, Mengfei Li, Ying Wang, Weijiang Yu, Ruixuan Wang, Zhiguang Chen, Nong Xiao, Yutong Lu
Intensive Vision-guided Network for Radiology Report Generation. CoRR (2024)
Qi Wu, Chengjia Wang, Xiaohui Li, Guangxing Wu, Marta Vallejo, Ruixuan Wang
Audio-Aided Learning Framework for Image Classification with Limited Training Images. ICASSP (2024)
Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. AAAI (2024)
Wei Shi, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang
PAMI: Partition Input and Aggregate Outputs for Model Interpretation. Pattern Recognit. 145 (2024)
Chao Wu, Xiaobin Chang, Ruixuan Wang
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP (2024)
Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE (2024)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. IEEE Trans. Computers 73 (6) (2024)
Jiankang Chen, Tong Zhang, Wei-Shi Zheng, Ruixuan Wang
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection. AAAI (2024)
Zejun Ye, Defeng Zhao, Wentao Zhang, Ruixuan Wang
CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening. ICIC (6) (2024)
Dongwei Xu, Ruixuan Wang, Du Cai, Chenghang Li, Feng Gao
MTSC2: Multi-task Survival Prediction on Colorectal CT Images with Clinical Information. CACML (2024)
Ruixuan Wang, Jane M. Carrington, Noah Hammarlund, Orlando Sanchez, Lee Revere
An evaluation of copy and paste events in electronic notes of patients with hospital acquired conditions. Int. J. Medical Informatics 170 (2023)
Kanghao Chen, Weixian Lei, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. IEEE J. Biomed. Health Informatics 27 (4) (2023)
Defeng Zhao, Zejun Ye, Wei-Shi Zheng, Ruixuan Wang
Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases. BIBM (2023)
Guangxing Wu, Junxi Chen, Wentao Zhang, Ruixuan Wang
Feature Adaptation with CLIP for Few-shot Classification. MMAsia (2023)
Xinyu Ren, Ruixuan Wang
A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning. CoRR (2023)
Shan Ren, Ruixuan Wang, Yushan Ji, Chengying Liang
A Synergistic Operation And Maintenance Service Method Of Complex Products Based On Knowledge Graph. ICNC-FSKD (2023)
Jiaxin Zhuang, Jiabin Cai, Jianguo Zhang, Weishi Zheng, Ruixuan Wang
Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing 555 (2023)
Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang, Wei-Shi Zheng, Ruixuan Wang
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition. CoRR (2023)
Wei Shi, Wentao Zhang, Ruixuan Wang
Local Adversarial Attacks for Understanding Model Decisions. AAIA (2023)
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang
Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC (2023)
Ruixuan Wang, Yuan Liu, Mengxue Wang, Linteng Yang, Hanwen Zheng, Huicong Fang
Effects of Virtual Map Navigation Mode on Route Retracing. Int. J. Hum. Comput. Interact. 39 (12) (2023)
Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang
SATS: Self-attention transfer for continual semantic segmentation. Pattern Recognit. 138 (2023)
Chenghu Dai, Yuanyuan Du, Qi Shi, Ruixuan Wang, Hao Zheng, Wenjuan Lu, Chunyu Peng, Licai Hao, Zhiting Lin, Xiulong Wu
Bit-line leakage current tracking and self-compensation circuit for SRAM reliability design. Microelectron. J. 132 (2023)
Ruixuan Wang, Yue Qi, Mojtaba Vaezi, Xun Jiao, Moeness Amin
Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions. ICASSP (2023)
Wei Shi, Wentao Zhang, Weishi Zheng, Ruixuan Wang
PAMI: partition input and aggregate outputs for model interpretation. CoRR (2023)
Xuchen Xie, Junjie Xu, Ping Hu, Weizhuo Zhang, Yujun Huang, Wei-Shi Zheng, Ruixuan Wang
Task-Incremental Medical Image Classification with Task-Specific Batch Normalization. PRCV (13) (2023)
Ruixuan Wang, Zhikang Liu, Jiahao Gong, Qingping Zhou, Xiaoqing Guan, Guangbo Ge
An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors. J. Chem. Inf. Model. 63 (24) (2023)
Yang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su
Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. BIBM (2023)
Zhuohao Sun, Yiqiao Qiu, Zhijun Tan, Weishi Zheng, Ruixuan Wang
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection. CoRR (2023)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15 (1) (2023)
Ruixuan Wang, Sabrina Hassan Moon, Xiaobo Sharon Hu, Xun Jiao, Dayane Reis
A Computing-in-Memory-based One-Class Hyperdimensional Computing Model for Outlier Detection. CoRR (2023)
Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. CoRR (2023)
Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang
Continual learning with Bayesian model based on a fixed pre-trained feature extractor. Vis. Intell. 1 (1) (2023)
Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei-Shi Zheng, Ruixuan Wang
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. CoRR (2023)
Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang
Revisit PCA-based technique for Out-of-Distribution Detection. ICCV (2023)
Wentao Zhang, Yujun Huang, Tong Zhang, Qingsong Zou, Wei-Shi Zheng, Ruixuan Wang
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. MICCAI (2) (2023)
Yueyang Hu, Chuanyu Tang, Wen Zhu, Hanjie Ye, Yuxing Lin, Ruixuan Wang, Tianjun Zhou, Sai Wen, Jian Yang, Chihua Fang
Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy. Comput. Biol. Medicine 148 (2022)
Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng
Improving Class Balancing at Both Feature Extractor and Classifier Head. ICME (2022)
Xiutiao Ye, Shuang Wang, Yu Gu, Jihui Wang, Ruixuan Wang, Biao Hou, Fausto Giunchiglia, Licheng Jiao
A Joint-Training Two-Stage Method For Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Jun Tao
Synthetic Minority with CutMix for Imbalanced Image Classification. IntelliSys (2) (2022)
Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF (2022)
Kanghao Chen, Weixian Lei, Rong Zhang, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. CoRR (2022)
Ruixuan Wang, Xun Jiao
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE (2022)
Zhengjing Xu, Kanghao Chen, Wei-Shi Zheng, Zhijun Tan, Xiaobo Yang, Ruixuan Wang
Expert with Outlier Exposure for Continual Learning of New Diseases. BIBM (2022)
Zhehao Zhong, Shen Zhao, Ruixuan Wang
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data. PRCV (2) (2022)
Rajendran Nirthika, Siyamalan Manivannan, Amirthalingam Ramanan, Ruixuan Wang
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. Neural Comput. Appl. 34 (7) (2022)
Ruixuan Wang, Xun Jiao, X. Sharon Hu
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC (2022)
Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE (2022)
Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang
Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. MICCAI (8) (2022)
Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Wei-Shi Zheng, Ruixuan Wang
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor. CoRR (2022)
Changhong Zhong, Zhiying Cui, Wei-Shi Zheng, Hongmei Liu, Ruixuan Wang
Discriminative Distillation to Reduce Class Confusion in Continual Learning. PRCV (1) (2022)
Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR (2022)
Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR (2022)
Ruixuan Wang, Dongning Ma, Xun Jiao
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR (2022)
Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang
SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR (2022)
Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. CoRR (2022)
Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Wei-Shi Zheng
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification. CoRR (2022)
Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng
Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature Extractor. MICCAI (5) (2021)
Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng
Alleviating Data Imbalance Issue with Perturbed Input During Inference. MICCAI (5) (2021)
Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng
Discriminative Distillation to Reduce Class Confusion in Continual Learning. CoRR (2021)
Ying Song, Shuangjia Zheng, Liang Li, Xiang Zhang, Xiaodong Zhang, Ziwang Huang, Jianwen Chen, Ruixuan Wang, Huiying Zhao, Yutian Chong, Jun Shen, Yunfei Zha, Yuedong Yang
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning. CoRR (2021)
Sizhe Zhang, Ruixuan Wang, Jeff Jun Zhang, Abbas Rahimi, Xun Jiao
Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). ASAP (2021)
Yangwen Hu, Zhehao Zhong, Ruixuan Wang, Hongmei Liu, Zhijun Tan, Wei-Shi Zheng
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data. MICCAI (5) (2021)
Chufu Deng, Zhiguang Chen, Ruixuan Wang, Wanqi Su, Yili Qu
Modality-shared MRI Image Translation Based on Conditional GAN. BIBM (2021)
Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Hongmei Liu
Iterative Ensemble Transductive Learning for Microscopy Image Analysis. CSCI (2021)
Zhuoyun Li, Changhong Zhong, Sijia Liu, Ruixuan Wang, Wei-Shi Zheng
Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors. CoRR (2021)
Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. RTAS (2021)
Jia-Xin Zhuang, Wanying Tao, Jianfei Xing, Wei Shi, Ruixuan Wang, Wei-Shi Zheng
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images. CoRR (2021)
Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang
Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning. ISBI (2021)
Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng
Anomaly Detection on Electroencephalography with Self-supervised Learning. BIBM (2020)
Yifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng, Hongmei Liu
Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. MICCAI (6) (2020)
Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. ISBI (2020)
Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng
Deep kNN for Medical Image Classification. MICCAI (1) (2020)
Jiechao Ma, Xiang Li, Hongwei Li, Ruixuan Wang, Bjoern H. Menze, Wei-Shi Zheng
Cross-View Relation Networks for Mammogram Mass Detection. ICPR (2020)
Zhiying Cui, Longshi Wu, Ruixuan Wang
Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold. ICME (2020)
Weixian Lei, Rong Zhang, Yang Yang, Ruixuan Wang, Wei-Shi Zheng
Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data. ISBI (2020)
Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8 (2020)
Zhuoyun Li, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng
Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy. MICCAI (1) (2020)
Zhiying Cui, Longshi Wu, Ruixuan Wang, Wei-Shi Zheng
Ensemble Transductive Learning for Skin Lesion Segmentation. PRCV (2) (2019)
Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL (2019)
Rong Zhang, Shuhan Tan, Ruixuan Wang, Siyamalan Manivannan, Jingjing Chen, Haotian Lin, Wei-Shi Zheng
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. MICCAI (1) (2019)
Feifei Xue, Jin Peng, Ruixuan Wang, Qiong Zhang, Wei-Shi Zheng
Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks. MICCAI (6) (2019)
Zhaolei Wang, Junbin Lin, Ruixuan Wang, Weishi Zheng
Retinal Artery/Vein Classification via Rotation Augmentation and Deeply Supervised U-net Segmentation. ICBIP (2019)
Hongwei Li, Gongfa Jiang, Ruixuan Wang, Jianguo Zhang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images. CoRR (2018)
Hongwei Li, Gongfa Jiang, Jianguo Zhang, Ruixuan Wang, Zhaolei Wang, Wei-Shi Zheng, Bjoern H. Menze
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. NeuroImage 183 (2018)
Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) (2017)
Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA (2017)
Paul F. Brennan, Dewar D. Finlay, Mark S. Spence, Agnes Awuah, James McLaughlin, Johnny Moore, Andrew Nesbit, Emanuele Trucco, Ruixuan Wang, Tara Moore
Cardiac-gated Slit Lamp Videography as a Novel Approach to Assessing a Microcirculatory Network. CinC (2017)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI (2016)
Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. Pattern Recognit. 51 (2016)
Ruixuan Wang, Markus Pakleppa, Emanuele Trucco
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal. IEEE Trans. Image Process. 24 (5) (2015)
Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco
Inter-Cluster Features for Medical Image Classification. MICCAI (3) (2014)
Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna
HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. I3A@ICPR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruixuan Wang