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Ruixuan Wang

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2024
[j23]
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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]
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Guijin Han, Ruixuan Wang, Wuyan Xu, Jun Li:
Night construction site detection based on ghost-YOLOX. Connect. Sci. 36(1) (2024)
[j21]
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Wei Shi, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang:
PAMI: Partition Input and Aggregate Outputs for Model Interpretation. Pattern Recognit. 145: 109898 (2024)
[j20]
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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)
[c80]
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Dalong Chen, Jianjia Zhang, Wei-Shi Zheng, Ruixuan Wang:
FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. AAAI 2024: 1019-1027
[c79]
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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
[c78]
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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
[c77]
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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
[c76]
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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
[c75]
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Ruixuan Wang, Wengying Wen, Kyle Juretus, Xun Jiao:
PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. DATE 2024: 1-6
[c74]
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Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. ICASSP 2024: 4265-4269
[c73]
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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
[c72]
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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
[c71]
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Xiaoyuan Guan, Zhiyong Gan, Ling Deng, Wei Shi, Jiankang Chen, Shenshen Bu, Chunliang Zhao, Jianfang Hu, Yuren Zhou, Wei-Shi Zheng, Ruixuan Wang:
Out-of-Distribution Detection by Principal Component Correspondence. ICME 2024: 1-6
[c70]
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Guangxing Wu, Junxi Chen, Qiu Li, Wentao Zhang, Wei-Shi Zheng, Ruixuan Wang:
Region Attention Fine-tuning with CLIP for Few-shot Classification. ICME 2024: 1-6
[c69]
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Yujun Huang, Wentao Zhang, Ruixuan Wang:
Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space. IJCNN 2024: 1-8
[c68]
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Yuanhang Zheng, Yiqiao Qiu, Haoxuan Che, Hao Chen, Wei-Shi Zheng, Ruixuan Wang:
Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification. MICCAI (10) 2024: 175-185
[c67]
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Xuyang Li, Weizhuo Zhang, Yue Yu, Wei-Shi Zheng, Tong Zhang, Ruixuan Wang:
SiFT: A Serial Framework with Textual Guidance for Federated Learning. MICCAI (10) 2024: 655-665
[c66]
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Jiankang Chen, Ling Deng, Zhiyong Gan, Wei-Shi Zheng, Ruixuan Wang:
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector. ACM Multimedia 2024: 1981-1990
[c65]
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Jingwei Li, Haipeng Zhang, Ruixuan Wang, Zhensheng Jia, Qing Li:
Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications. OFC 2024: 1-3
[c64]
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Peng Wang, Jiankang Chen, Yuren Zhou, Ruixuan Wang:
EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation. PRCV (3) 2024: 89-103
[c63]
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Jing Luo, Guangxing Wu, Hongmei Liu, Ruixuan Wang:
Fine-Tuning of CLIP in Few-Shot Scenarios via Supervised Contrastive Learning. PRCV (3) 2024: 104-117
[c62]
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Weizhuo Zhang, Jiankang Chen, Wentao Zhang, Zhijun Tan, Ruixuan Wang:
Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning. PRCV (3) 2024: 496-509
[i22]
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  - journals/corr/abs-2402-03754
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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]
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  - journals/corr/abs-2402-18086
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Chao Wu, Xiaobin Chang, Ruixuan Wang:
Generalizable Two-Branch Framework for Image Class-Incremental Learning. CoRR abs/2402.18086 (2024)
2023
[j19]
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Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. IEEE Embed. Syst. Lett. 15(1): 37-40 (2023)
[j18]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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  - journals/visintelligence/YangCX00W23
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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]
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Wei Shi, Wentao Zhang, Ruixuan Wang:
Local Adversarial Attacks for Understanding Model Decisions. AAIA 2023: 10-14
[c60]
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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]
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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]
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Yang Yang, Ruixuan Wang, Tong Zhang, Jingyong Su:
Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. BIBM 2023: 1635-1642
[c57]
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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]
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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]
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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]
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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]
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Guangxing Wu, Junxi Chen, Wentao Zhang, Ruixuan Wang:
Feature Adaptation with CLIP for Few-shot Classification. MMAsia 2023: 26:1-26:7
[c52]
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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]
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Kanghao Chen, Sijia Liu, Ruixuan Wang, Weishi Zheng:
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. CoRR abs/2301.07316 (2023)
[i19]
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  - journals/corr/abs-2302-03318
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Wei Shi, Wentao Zhang, Weishi Zheng, Ruixuan Wang:
PAMI: partition input and aggregate outputs for model interpretation. CoRR abs/2302.03318 (2023)
[i18]
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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]
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  - journals/corr/abs-2307-10036
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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]
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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)
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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]
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Xinyu Ren, Ruixuan Wang:
A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning. CoRR abs/2312.15606 (2023)
2022
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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)
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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]
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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)
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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]
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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
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Ruixuan Wang, Xun Jiao, X. Sharon Hu:
ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. DAC 2022: 43-48
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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
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Ruixuan Wang, Xun Jiao:
PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. DATE 2022: 298-303
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Kanghao Chen, Huijuan Lu, Ruixuan Wang, Wei-Shi Zheng:
Improving Class Balancing at Both Feature Extractor and Classifier Head. ICME 2022: 1-6
[c45]
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Chenghua Zeng, Huijuan Lu, Kanghao Chen, Ruixuan Wang, Jun Tao:
Synthetic Minority with CutMix for Imbalanced Image Classification. IntelliSys (2) 2022: 543-556
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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
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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
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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]
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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)
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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)
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Ruixuan Wang, Dongning Ma, Xun Jiao:
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. CoRR abs/2203.13542 (2022)
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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]
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  - journals/corr/abs-2207-01391
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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]
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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]
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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]
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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]
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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)
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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
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Chufu Deng, Zhiguang Chen, Ruixuan Wang, Wanqi Su, Yili Qu:
Modality-shared MRI Image Translation Based on Conditional GAN. BIBM 2021: 1286-1290
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Tian Shi, Longshi Wu, Changhong Zhong, Ruixuan Wang, Hongmei Liu:
Iterative Ensemble Transductive Learning for Microscopy Image Analysis. CSCI 2021: 1246-1249
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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
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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
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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]
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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
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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
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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)
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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]
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Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng:
Discriminative Distillation to Reduce Class Confusion in Continual Learning. CoRR abs/2108.05187 (2021)
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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]
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Haocheng Shen, Jingkun Chen, Ruixuan Wang, Jianguo Zhang:
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. IEEE Access 8: 133051-133062 (2020)
[c33]
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Junjie Xu, Yaojia Zheng, Yifan Mao, Ruixuan Wang, Wei-Shi Zheng:
Anomaly Detection on Electroencephalography with Self-supervised Learning. BIBM 2020: 363-368
[c32]
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Zhiying Cui, Longshi Wu, Ruixuan Wang:
Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold. ICME 2020: 1-6
[c31]
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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]
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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]
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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]
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Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang, Jianguo Zhang, Wei-Shi Zheng:
Deep kNN for Medical Image Classification. MICCAI (1) 2020: 127-136
[c27]
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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]
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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

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2019
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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
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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]
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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]
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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]
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Zhiying Cui, Longshi Wu, Ruixuan Wang, Wei-Shi Zheng:
Ensemble Transductive Learning for Skin Lesion Segmentation. PRCV (2) 2019: 572-581
2018
[j5]
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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]
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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]
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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]
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Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. MICCAI (2) 2017: 433-441
[c18]
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Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. MIUA 2017: 239-248
2016
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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]
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Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Hierarchical mix-pooling and its applications to biomedical image classification. ISBI 2016: 541-544
2015
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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
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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]
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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]
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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]
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Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Inter-Cluster Features for Medical Image Classification. MICCAI (3) 2014: 345-352
2013
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Ruixuan Wang, Emanuele Trucco:
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal. ICCV 2013: 1073-1080
[c11]
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Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco:
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. ICCV Workshops 2013: 184-189
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Siyamalan Manivannan, Ruixuan Wang, Emanuele Trucco, Adrian Hood:
Automatic normal-abnormal video frame classification for colonoscopy. ISBI 2013: 644-647
2012
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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
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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]
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Ruixuan Wang, Stephen J. McKenna:
Gaussian Process Learning from Order Relationships Using Expectation Propagation. ICPR 2010: 605-608

2000 – 2009

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2009
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Ruixuan Wang, Stephen J. McKenna, Junwei Han:
High-entropy layouts for content-based browsing and retrieval. CIVR 2009
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Junwei Han, Stephen J. McKenna, Ruixuan Wang:
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval. ICVS 2009: 374-383
2008
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Ruixuan Wang, Wee Kheng Leow, Hon Wai Leong:
3D-2D spatiotemporal registration for sports motion analysis. CVPR 2008
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Junwei Han, Stephen J. McKenna, Ruixuan Wang:
Regular Texture Analysis as Statistical Model Selection. ECCV (4) 2008: 242-255
2006
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Ruixuan Wang, Wee Kheng Leow:
Human Posture Analysis Under Partial Self-occlusion. ICIAR (1) 2006: 874-885
[c3]
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Weidong Wu, Ruixuan Wang:
A TCAM Management Scheme for IP Lookups. ICON 2006: 1-4
2005
[c2]
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Ruixuan Wang, Wee Kheng Leow:
Human Posture Sequence Estimation Using Two Un-calibrated Cameras. BMVC 2005
[c1]
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Ruixuan Wang, Wee Kheng Leow:
Human body posture refinement by nonparametric belief propagation. ICIP (3) 2005: 1272-1275

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