default search action
Ruixuan Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j23]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: 109028 (2024) - [j22]Guijin Han, Ruixuan Wang, Wuyan Xu, Jun Li:
Night construction site detection based on ghost-YOLOX. Connect. Sci. 36(1) (2024) - [j21]Wei Shi, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang:
PAMI: Partition Input and Aggregate Outputs for Model Interpretation. Pattern Recognit. 145: 109898 (2024) - [j20]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): 1559-1574 (2024) - [c72]Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang:
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. AAAI 2024: 1019-1027 - [c71]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: 1100-1109 - [c70]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: 19858-19866 - [c69]Dongwei Xu, Ruixuan Wang, Du Cai, Chenghang Li, Feng Gao:
MTSC2: Multi-task Survival Prediction on Colorectal CT Images with Clinical Information. CACML 2024: 143-149 - [c68]Shiqi Chen, Du Cai, Chenghang Li, Ruixuan Wang, Feng Gao:
CVMIL: Cluster Variance Multiple Instance Learning for Whole Slide Images Survival Prediction. CVIPPR 2024: 15 - [c67]Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao:
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE 2024: 1-6 - [c66]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP 2024: 4265-4269 - [c65]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: 4975-4979 - [c64]Zejun Ye, Defeng Zhao, Wentao Zhang, Ruixuan Wang:
CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening. ICIC (6) 2024: 134-146 - [c63]Yujun Huang, Wentao Zhang, Ruixuan Wang:
Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space. IJCNN 2024: 1-8 - [c62]Jingwei Li, Haipeng Zhang, Ruixuan Wang, Zhensheng Jia, Qing Li:
Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications. OFC 2024: 1-3 - [i22]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 abs/2402.03754 (2024) - [i21]Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR abs/2402.18086 (2024) - 2023
- [j19]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023) - [j18]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): 2468-2477 (2023) - [j17]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: 104934 (2023) - [j16]Jiaxin Zhuang, Jiabin Cai, Jianguo Zhang, Weishi Zheng, Ruixuan Wang:
Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing 555: 126577 (2023) - [j15]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): 7699-7710 (2023) - [j14]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: 105699 (2023) - [j13]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: 109383 (2023) - [j12]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): 2026-2036 (2023) - [j11]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) - [c61]Wei Shi, Wentao Zhang, Ruixuan Wang:
Local Adversarial Attacks for Understanding Model Decisions. AAIA 2023: 10-14 - [c60]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: 553-560 - [c59]Defeng Zhao, Zejun Ye, Wei-Shi Zheng, Ruixuan Wang:
Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases. BIBM 2023: 994-999 - [c58]Yang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su:
Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. BIBM 2023: 1635-1642 - [c57]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: 1-5 - [c56]Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang:
Revisit PCA-based technique for Out-of-Distribution Detection. ICCV 2023: 19374-19382 - [c55]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: 1-6 - [c54]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: 68-78 - [c53]Guangxing Wu, Junxi Chen, Wentao Zhang, Ruixuan Wang:
Feature Adaptation with CLIP for Few-shot Classification. MMAsia 2023: 26:1-26:7 - [c52]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: 309-320 - [i20]Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng:
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. CoRR abs/2301.07316 (2023) - [i19]Wei Shi, Wentao Zhang, Weishi Zheng, Ruixuan Wang:
PAMI: partition input and aggregate outputs for model interpretation. CoRR abs/2302.03318 (2023) - [i18]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 abs/2304.09042 (2023) - [i17]Jia-Xin Zhuang, Jiabin Cai, Jianguo Zhang, Wei-Shi Zheng, Ruixuan Wang:
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition. CoRR abs/2307.10036 (2023) - [i16]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 abs/2310.18104 (2023) - [i15]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 abs/2311.17852 (2023) - [i14]Xinyu Ren, Ruixuan Wang:
A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning. CoRR abs/2312.15606 (2023) - 2022
- [j10]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: 105896 (2022) - [j9]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): 5321-5347 (2022) - [j8]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: 1-16 (2022) - [c51]Yue Qi, Ruixuan Wang, Mojtaba Vaezi, Jonathan Francis, Xun Jiao:
Handcrafted and Neural Network Based Features for Outlier Modulation Detection. IEEECONF 2022: 698-702 - [c50]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: 1768-1772 - [c49]Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48 - [c48]Sizhe Zhang, Ruixuan Wang, Dongning Ma, Jeff Jun Zhang, Xunzhao Yin, Xun Jiao:
Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. DATE 2022: 52-55 - [c47]Ruixuan Wang, Xun Jiao:
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE 2022: 298-303 - [c46]Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng:
Improving Class Balancing at Both Feature Extractor and Classifier Head. ICME 2022: 1-6 - [c45]Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Jun Tao:
Synthetic Minority with CutMix for Imbalanced Image Classification. IntelliSys (2) 2022: 543-556 - [c44]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: 193-203 - [c43]Changhong Zhong, Zhiying Cui, Wei-Shi Zheng, Hongmei Liu, Ruixuan Wang:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. PRCV (1) 2022: 580-592 - [c42]Zhehao Zhong, Shen Zhao, Ruixuan Wang:
Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data. PRCV (2) 2022: 588-600 - [i13]Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang:
Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR abs/2202.05827 (2022) - [i12]Yiqiao Qiu, Yixing Shen, Zhuohao Sun, Yanchong Zheng, Xiaobin Chang, Weishi Zheng, Ruixuan Wang:
SATS: Self-Attention Transfer for Continual Semantic Segmentation. CoRR abs/2203.07667 (2022) - [i11]Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022) - [i10]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 abs/2204.13349 (2022) - [i9]Yaojia Zheng, Zhouwu Liu, Rong Mo, Ziyi Chen, Wei-Shi Zheng, Ruixuan Wang:
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. CoRR abs/2207.01391 (2022) - [i8]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 abs/2207.04793 (2022) - [i7]Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Wei-Shi Zheng:
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification. CoRR abs/2207.06975 (2022) - [i6]Xun Jiao, Ruixuan Wang, Fan Fred Lin, Daniel Moore, Sriram Sankar:
Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. CoRR abs/2212.03475 (2022) - 2021
- [j7]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): 2775-2780 (2021) - [c41]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: 211-217 - [c40]Chufu Deng, Zhiguang Chen, Ruixuan Wang, Wanqi Su, Yili Qu:
Modality-shared MRI Image Translation Based on Conditional GAN. BIBM 2021: 1286-1290 - [c39]Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Hongmei Liu:
Iterative Ensemble Transductive Learning for Microscopy Image Analysis. CSCI 2021: 1246-1249 - [c38]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: 1966-1970 - [c37]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: 397-406 - [c36]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: 407-417 - [c35]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: 469-479 - [c34]Ruixuan Wang, Fanxin Kong, Hasshi Sudler, Xun Jiao:
Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. RTAS 2021: 461-464 - [i5]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 abs/2103.00780 (2021) - [i4]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 abs/2104.13614 (2021) - [i3]Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. CoRR abs/2108.05187 (2021) - [i2]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 abs/2108.11054 (2021) - 2020
- [j6]Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang:
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8: 133051-133062 (2020) - [c33]Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng:
Anomaly Detection on Electroencephalography with Self-supervised Learning. BIBM 2020: 363-368 - [c32]Zhiying Cui, Longshi Wu, Ruixuan Wang:
Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold. ICME 2020: 1-6 - [c31]Jiechao Ma, Xiang Li, Hongwei Li, Ruixuan Wang, Bjoern H. Menze, Wei-Shi Zheng:
Cross-View Relation Networks for Mammogram Mass Detection. ICPR 2020: 8632-8638 - [c30]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: 1-5 - [c29]Weipeng Li, Jiaxin Zhuang, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. ISBI 2020: 1996-2000 - [c28]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Deep kNN for Medical Image Classification. MICCAI (1) 2020: 127-136 - [c27]Zhuoyun Li, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng:
Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy. MICCAI (1) 2020: 169-178 - [c26]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: 529-538
2010 – 2019
- 2019
- [c25]Zhaolei Wang, Junbin Lin, Ruixuan Wang, Weishi Zheng:
Retinal Artery/Vein Classification via Rotation Augmentation and Deeply Supervised U-net Segmentation. ICBIP 2019: 71-76 - [c24]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: 209-217 - [c23]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: 846-854 - [c22]Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Weishi Zheng:
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. MIDL 2019: 588-597 - [c21]Zhiying Cui, Longshi Wu, Ruixuan Wang, Wei-Shi Zheng:
Ensemble Transductive Learning for Skin Lesion Segmentation. PRCV (2) 2019: 572-581 - 2018
- [j5]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: 650-665 (2018) - [i1]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 abs/1802.05203 (2018) - 2017
- [c20]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 - [c19]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) 2017: 433-441 - [c18]Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA 2017: 239-248 - 2016
- [j4]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: 12-26 (2016) - [c17]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI 2016: 541-544 - 2015
- [j3]Ruixuan Wang, Markus Pakleppa, Emanuele Trucco:
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal. IEEE Trans. Image Process. 24(5): 1485-1496 (2015) - 2014
- [c16]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: 37-40 - [c15]Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. I3A@ICPR 2014: 41-44 - [c14]Siyamalan Manivannan, Ruixuan Wang, María P. Trujillo, Jesus Arbey Hoyos, Emanuele Trucco:
Video-Specific SVMs for Colonoscopy Image Classification. CARE@MICCAI 2014: 11-21 - [c13]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Inter-Cluster Features for Medical Image Classification. MICCAI (3) 2014: 345-352 - 2013
- [c12]Ruixuan Wang, Emanuele Trucco:
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal. ICCV 2013: 1073-1080 - [c11]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. ICCV Workshops 2013: 184-189 - [c10]Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco, Adrian Hood:
Automatic normal-abnormal video frame classification for colonoscopy. ISBI 2013: 644-647 - 2012
- [j2]Wee Kheng Leow, Ruixuan Wang, Hon Wai Leong:
3-D-2-D spatiotemporal registration for sports motion analysis. Mach. Vis. Appl. 23(6): 1177-1194 (2012) - 2010
- [j1]Ruixuan Wang, Stephen J. McKenna, Junwei Han, Annette A. Ward:
Visualizing Image Collections Using High-Entropy Layout Distributions. IEEE Trans. Multim. 12(8): 803-813 (2010) - [c9]Ruixuan Wang, Stephen J. McKenna:
Gaussian Process Learning from Order Relationships Using Expectation Propagation. ICPR 2010: 605-608
2000 – 2009
- 2009
- [c8]Ruixuan Wang, Stephen J. McKenna, Junwei Han:
High-entropy layouts for content-based browsing and retrieval. CIVR 2009 - [c7]Junwei Han, Stephen J. McKenna, Ruixuan Wang:
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval. ICVS 2009: 374-383 - 2008
- [c6]Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong:
3D-2D spatiotemporal registration for sports motion analysis. CVPR 2008 - [c5]Junwei Han, Stephen J. McKenna, Ruixuan Wang:
Regular Texture Analysis as Statistical Model Selection. ECCV (4) 2008: 242-255 - 2006
- [c4]Ruixuan Wang, Wee Kheng Leow:
Human Posture Analysis Under Partial Self-occlusion. ICIAR (1) 2006: 874-885 - [c3]Weidong Wu, Ruixuan Wang:
A TCAM Management Scheme for IP Lookups. ICON 2006: 1-4 - 2005
- [c2]