Human Posture Sequence Estimation Using Two Un-calibrated Cameras. - Ruixuan Wang; Wee Kheng Leow (BMVC, 2005)

Human body posture refinement by nonparametric belief propagation. - Ruixuan Wang; Wee Kheng Leow (ICIP (3), 2005)

Human Posture Analysis Under Partial Self-occlusion. - Ruixuan Wang; Wee Kheng Leow (ICIAR (1), 2006)

A TCAM Management Scheme for IP Lookups. - Weidong Wu; Ruixuan Wang (ICON, 2006)

3D-2D spatiotemporal registration for sports motion analysis. - Ruixuan Wang; Wee Kheng Leow; Hon Wai Leong (CVPR, 2008)

Regular Texture Analysis as Statistical Model Selection. - Junwei Han 001; Stephen J. McKenna; Ruixuan Wang (ECCV (4), 2008)

High-entropy layouts for content-based browsing and retrieval. - Ruixuan Wang; Stephen J. McKenna; Junwei Han 001 (CIVR, 2009)

Learning Query-Dependent Distance Metrics for Interactive Image Retrieval. - Junwei Han 001; Stephen J. McKenna; Ruixuan Wang (ICVS, 2009)

Gaussian Process Learning from Order Relationships Using Expectation Propagation. - Ruixuan Wang; Stephen J. McKenna (ICPR, 2010)

Visualizing Image Collections Using High-Entropy Layout Distributions. - Ruixuan Wang; Stephen J. McKenna; Junwei Han 001; Annette A. Ward (IEEE Trans. Multim., 2010)

3-D-2-D spatiotemporal registration for sports motion analysis. - Wee Kheng Leow; Ruixuan Wang; Hon Wai Leong (Mach. Vis. Appl., 2012)

Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal. - Ruixuan Wang; Emanuele Trucco (ICCV, 2013)

Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (ICCV Workshops, 2013)

Automatic normal-abnormal video frame classification for colonoscopy. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco; Adrian Hood (ISBI, 2013)

HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (I3A@ICPR, 2014)

Inter-Cluster Features for Medical Image Classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (MICCAI (3), 2014)

Video-Specific SVMs for Colonoscopy Image Classification. - Siyamalan Manivannan; Ruixuan Wang; María P. Trujillo; Jesus Arbey Hoyos; Emanuele Trucco (CARE@MICCAI, 2014)

Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal. - Ruixuan Wang; Markus Pakleppa; Emanuele Trucco (IEEE Trans. Image Process., 2015)

Hierarchical mix-pooling and its applications to biomedical image classification. - Siyamalan Manivannan; Ruixuan Wang; Emanuele Trucco (ISBI, 2016)

An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens. - Siyamalan Manivannan; Wenqi Li 001; Shazia Akbar; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (Pattern Recognit., 2016)

Cardiac-gated Slit Lamp Videography as a Novel Approach to Assessing a Microcirculatory Network. - Paul F. Brennan; Dewar D. Finlay; Mark S. Spence; Agnes Awuah; James McLaughlin 001; Johnny Moore; Andrew Nesbit; Emanuele Trucco; Ruixuan Wang; Tara Moore (CinC, 2017)

Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation. - Haocheng Shen; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (MICCAI (2), 2017)

Multi-task Fully Convolutional Network for Brain Tumour Segmentation. - Haocheng Shen; Ruixuan Wang; Jianguo Zhang 001; Stephen J. McKenna (MIUA, 2017)

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images. - Hongwei Li 004; Gongfa Jiang; Jianguo Zhang 001; Ruixuan Wang; Zhaolei Wang; Wei-Shi Zheng 001; Bjoern H. Menze (NeuroImage, 2018)

Retinal Artery/Vein Classification via Rotation Augmentation and Deeply Supervised U-net Segmentation. - Zhaolei Wang; Junbin Lin; Ruixuan Wang; Weishi Zheng 001 (ICBIP, 2019)

Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks. - Feifei Xue; Jin Peng; Ruixuan Wang; Qiong Zhang; Wei-Shi Zheng 001 (MICCAI (6), 2019)

Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network. - Rong Zhang; Shuhan Tan; Ruixuan Wang; Siyamalan Manivannan; Jingjing Chen; Haotian Lin 001; Wei-Shi Zheng 001 (MICCAI (1), 2019)

CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data. - Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang 001; Weishi Zheng 001 (MIDL, 2019)

Ensemble Transductive Learning for Skin Lesion Segmentation. - Zhiying Cui; Longshi Wu; Ruixuan Wang; Wei-Shi Zheng 001 (PRCV (2), 2019)

Anomaly Detection on Electroencephalography with Self-supervised Learning. - Junjie Xu; Yaojia Zheng; Yifan Mao; Ruixuan Wang; Wei-Shi Zheng 001 (BIBM, 2020)

Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold. - Zhiying Cui; Longshi Wu; Ruixuan Wang (ICME, 2020)

Cross-View Relation Networks for Mammogram Mass Detection. - Jiechao Ma; Xiang Li 032; Hongwei Li 004; Ruixuan Wang; Bjoern H. Menze; Wei-Shi Zheng 001 (ICPR, 2020)

Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data. - Weixian Lei; Rong Zhang; Yang Yang 002; Ruixuan Wang; Wei-Shi Zheng 001 (ISBI, 2020)

Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis. - Weipeng Li; Jiaxin Zhuang; Ruixuan Wang; Jianguo Zhang 001; Wei-Shi Zheng 001 (ISBI, 2020)

Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy. - Zhuoyun Li; Changhong Zhong 001; Ruixuan Wang; Wei-Shi Zheng 001 (MICCAI (1), 2020)

Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders. - Yifan Mao; Feifei Xue; Ruixuan Wang; Jianguo Zhang 001; Wei-Shi Zheng 001; Hongmei Liu (MICCAI (6), 2020)

Deep kNN for Medical Image Classification. - Jiaxin Zhuang; Jiabin Cai; Ruixuan Wang; Jianguo Zhang 001; Wei-Shi Zheng 001 (MICCAI (1), 2020)

Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection. - Haocheng Shen; Jingkun Chen; Ruixuan Wang; Jianguo Zhang 001 (IEEE Access, 2020)

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). - Sizhe Zhang; Ruixuan Wang; Jeff Jun Zhang; Abbas Rahimi; Xun Jiao (ASAP, 2021)

Modality-shared MRI Image Translation Based on Conditional GAN. - Chufu Deng; Zhiguang Chen 001; Ruixuan Wang; Wanqi Su; Yili Qu (BIBM, 2021)

Iterative Ensemble Transductive Learning for Microscopy Image Analysis. - Tian Shi; Longshi Wu; Changhong Zhong 001; Ruixuan Wang; Hongmei Liu (CSCI, 2021)

Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning. - Yang Yang 002; Jiancong Chen; Ruixuan Wang; Ting Ma; Lingwei Wang; Jie Chen 001; Wei-Shi Zheng 001; Tong Zhang 017 (ISBI, 2021)

Alleviating Data Imbalance Issue with Perturbed Input During Inference. - Kanghao Chen; Yifan Mao; Huijuan Lu; Chenghua Zeng; Ruixuan Wang; Wei-Shi Zheng 001 (MICCAI (5), 2021)

Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data. - Yangwen Hu; Zhehao Zhong; Ruixuan Wang; Hongmei Liu; Zhijun Tan; Wei-Shi Zheng 001 (MICCAI (5), 2021)

Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks. - Ruixuan Wang; Fanxin Kong; Hasshi Sudler; Xun Jiao (RTAS, 2021)

Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors. - Zhuoyun Li; Changhong Zhong 001; Sijia Liu; Ruixuan Wang; Wei-Shi Zheng 001 (CoRR, 2021)

Discriminative Distillation to Reduce Class Confusion in Continual Learning. - Changhong Zhong 001; Zhiying Cui; Ruixuan Wang; Wei-Shi Zheng 001 (CoRR, 2021)

Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images. - Jia-Xin Zhuang; Wanying Tao; Jianfei Xing; Wei Shi; Ruixuan Wang; Wei-Shi Zheng 001 (CoRR, 2021)

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images. - Ying Song; Shuangjia Zheng; Liang Li; Xiang Zhang; Xiaodong Zhang; Ziwang Huang; Jianwen Chen; Ruixuan Wang; Huiying Zhao; Yutian Chong; Jun Shen 008; Yunfei Zha; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Handcrafted and Neural Network Based Features for Outlier Modulation Detection. - Yue Qi 001; Ruixuan Wang; Mojtaba Vaezi; Jonathan Francis; Xun Jiao (IEEECONF, 2022)

Expert with Outlier Exposure for Continual Learning of New Diseases. - Zhengjing Xu; Kanghao Chen; Wei-Shi Zheng 001; Zhijun Tan; Xiaobo Yang; Ruixuan Wang (BIBM, 2022)

ODHD: one-class brain-inspired hyperdimensional computing for outlier detection. - Ruixuan Wang; Xun Jiao; X. Sharon Hu (DAC, 2022)

PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing. - Ruixuan Wang; Xun Jiao (DATE, 2022)

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. - Sizhe Zhang; Ruixuan Wang; Dongning Ma; Jeff Jun Zhang; Xunzhao Yin; Xun Jiao (DATE, 2022)

Improving Class Balancing at Both Feature Extractor and Classifier Head. - Kanghao Chen; Huijuan Lu; Ruixuan Wang; Wei-Shi Zheng 001 (ICME, 2022)

Synthetic Minority with CutMix for Imbalanced Image Classification. - Chenghua Zeng; Huijuan Lu; Kanghao Chen; Ruixuan Wang; Jun Tao (IntelliSys (2), 2022)

Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography. - Yaojia Zheng; Zhouwu Liu; Rong Mo; Ziyi Chen; Wei-Shi Zheng 001; Ruixuan Wang (MICCAI (8), 2022)

Discriminative Distillation to Reduce Class Confusion in Continual Learning. - Changhong Zhong 001; Zhiying Cui; Wei-Shi Zheng 001; Hongmei Liu; Ruixuan Wang (PRCV (1), 2022)

Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data. - Zhehao Zhong; Shen Zhao; Ruixuan Wang (PRCV (2), 2022)

Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy. - Yueyang Hu; Chuanyu Tang; Wen Zhu; Hanjie Ye; Yuxing Lin; Ruixuan Wang; Tianjun Zhou; Sai Wen; Jian Yang; Chihua Fang (Comput. Biol. Medicine, 2022)

Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Yi Sheng; Sizhe Zhang; Ruixuan Wang; Kenneth W. Foreman; Mikell Paige; Xun Jiao; Weiwen Jiang; Lei Yang 018 (CoRR, 2022)

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. - Kanghao Chen; Weixian Lei; Rong Zhang; Shen Zhao; Wei-Shi Zheng 001; Ruixuan Wang (CoRR, 2022)

Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification. - Chenghua Zeng; Huijuan Lu; Kanghao Chen; Ruixuan Wang; Wei-Shi Zheng 001 (CoRR, 2022)

Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults. - Xun Jiao; Ruixuan Wang; Fan Fred Lin; Daniel Moore; Sriram Sankar (CoRR, 2022)

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study. - Rajendran Nirthika; Siyamalan Manivannan; Amirthalingam Ramanan; Ruixuan Wang (Neural Comput. Appl., 2022)

A Joint-Training Two-Stage Method For Remote Sensing Image Captioning. - Xiutiao Ye; Shuang Wang 001; Yu Gu 015; Jihui Wang; Ruixuan Wang; Biao Hou; Fausto Giunchiglia; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Local Adversarial Attacks for Understanding Model Decisions. - Wei Shi; Wentao Zhang 005; Ruixuan Wang (AAIA, 2023)

Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. - Hussam Amrouch; Paul R. Genssler; Mohsen Imani; Mariam Issa; Xun Jiao; Wegdan Mohammad; Gloria Sepanta; Ruixuan Wang (ASP-DAC, 2023)

Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency. - Yang Yang 002; Ruixuan Wang; Tong Zhang 017; Jingyong Su (BIBM, 2023)

Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases. - Defeng Zhao; Zejun Ye; Wei-Shi Zheng 001; Ruixuan Wang (BIBM, 2023)

Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions. - Ruixuan Wang; Yue Qi 001; Mojtaba Vaezi; Xun Jiao; Moeness G. Amin (ICASSP, 2023)

Revisit PCA-based technique for Out-of-Distribution Detection. - Xiaoyuan Guan; Zhouwu Liu; Wei-Shi Zheng 001; Yuren Zhou; Ruixuan Wang (ICCV, 2023)

A Synergistic Operation And Maintenance Service Method Of Complex Products Based On Knowledge Graph. - Shan Ren; Ruixuan Wang; Yushan Ji; Chengying Liang (ICNC-FSKD, 2023)

Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases. - Wentao Zhang 005; Yujun Huang; Tong Zhang 017; Qingsong Zou; Wei-Shi Zheng 001; Ruixuan Wang (MICCAI (2), 2023)

Feature Adaptation with CLIP for Few-shot Classification. - Guangxing Wu; Junxi Chen; Wentao Zhang 005; Ruixuan Wang (MMAsia, 2023)

Task-Incremental Medical Image Classification with Task-Specific Batch Normalization. - Xuchen Xie; Junjie Xu; Ping Hu; Weizhuo Zhang; Yujun Huang; Wei-Shi Zheng 001; Ruixuan Wang (PRCV (13), 2023)

Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning. - Kanghao Chen; Sijia Liu; Ruixuan Wang; Weishi Zheng 001 (CoRR, 2023)

A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning. - Xinyu Ren; Ruixuan Wang (CoRR, 2023)

An evaluation of copy and paste events in electronic notes of patients with hospital acquired conditions. - Ruixuan Wang; Jane M. Carrington; Noah Hammarlund; Orlando Sanchez; Lee Revere (Int. J. Medical Informatics, 2023)

Continual learning with Bayesian model based on a fixed pre-trained feature extractor. - Yang Yang; Zhiying Cui; Junjie Xu; Changhong Zhong 001; Wei-Shi Zheng 001; Ruixuan Wang (Vis. Intell., 2023)

Bit-line leakage current tracking and self-compensation circuit for SRAM reliability design. - Chenghu Dai; Yuanyuan Du; Qi Shi; Ruixuan Wang; Hao Zheng; Wenjuan Lu; Chunyu Peng; Licai Hao; Zhiting Lin; Xiulong Wu (Microelectron. J., 2023)

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing. - Ruixuan Wang; Dongning Ma; Xun Jiao (IEEE Embed. Syst. Lett., 2023)

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification. - Kanghao Chen; Weixian Lei; Shen Zhao; Wei-Shi Zheng 001; Ruixuan Wang (IEEE J. Biomed. Health Informatics, 2023)

SATS: Self-attention transfer for continual semantic segmentation. - Yiqiao Qiu; Yixing Shen; Zhuohao Sun; Yanchong Zheng; Xiaobin Chang; Weishi Zheng 001; Ruixuan Wang (Pattern Recognit., 2023)

Effects of Virtual Map Navigation Mode on Route Retracing. - Ruixuan Wang; Yuan Liu; Mengxue Wang; Linteng Yang; Hanwen Zheng; Huicong Fang (Int. J. Hum. Comput. Interact., 2023)

Class attention to regions of lesion for imbalanced medical image recognition. - Jiaxin Zhuang; Jiabin Cai; Jianguo Zhang 001; Weishi Zheng 001; Ruixuan Wang (Neurocomputing, 2023)

An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors. - Ruixuan Wang; Zhikang Liu; Jiahao Gong; Qingping Zhou; Xiaoqing Guan; Guangbo Ge (J. Chem. Inf. Model., 2023)

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging. - Dalong Chen; Jianjia Zhang; Wei-Shi Zheng 001; Ruixuan Wang (AAAI, 2024)

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection. - Jiankang Chen; Tong Zhang 017; Wei-Shi Zheng 001; Ruixuan Wang (AAAI, 2024)

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection. - Xiaoyuan Guan; Jiankang Chen; Shenshen Bu; Yuren Zhou; Wei-Shi Zheng 001; Ruixuan Wang (AAAI, 2024)

TexCIL: Text-Guided Continual Learning of Disease with Vision-Language Model. - Wentao Zhang 005; Defeng Zhao; Weishi Zheng 001; Ruixuan Wang (BIBM, 2024)

MTSC2: Multi-task Survival Prediction on Colorectal CT Images with Clinical Information. - Dongwei Xu; Ruixuan Wang; Du Cai; Chenghang Li; Feng Gao (CACML, 2024)

CVMIL: Cluster Variance Multiple Instance Learning for Whole Slide Images Survival Prediction. - Shiqi Chen; Du Cai; Chenghang Li; Ruixuan Wang; Feng Gao (CVIPPR, 2024)

PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing. - Ruixuan Wang; Wengying Wen; Kyle Juretus; Xun Jiao (DATE, 2024)

Generalizable Two-Branch Framework for Image Class-Incremental Learning. - Chao Wu; Xiaobin Chang; Ruixuan Wang (ICASSP, 2024)

Audio-Aided Learning Framework for Image Classification with Limited Training Images. - Qi Wu; Chengjia Wang; Xiaohui Li; Guangxing Wu; Marta Vallejo; Ruixuan Wang (ICASSP, 2024)

CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening. - Zejun Ye; Defeng Zhao; Wentao Zhang 005; Ruixuan Wang (ICIC (6), 2024)

Out-of-Distribution Detection by Principal Component Correspondence. - Xiaoyuan Guan; Zhiyong Gan; Ling Deng; Wei Shi; Jiankang Chen; Shenshen Bu; Chunliang Zhao; Jianfang Hu; Yuren Zhou; Wei-Shi Zheng 001; Ruixuan Wang (ICME, 2024)

Region Attention Fine-tuning with CLIP for Few-shot Classification. - Guangxing Wu; Junxi Chen; Qiu Li; Wentao Zhang 005; Wei-Shi Zheng 001; Ruixuan Wang (ICME, 2024)

Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space. - Yujun Huang; Wentao Zhang 005; Ruixuan Wang (IJCNN, 2024)

SiFT: A Serial Framework with Textual Guidance for Federated Learning. - Xuyang Li; Weizhuo Zhang; Yue Yu 001; Wei-Shi Zheng 001; Tong Zhang 017; Ruixuan Wang (MICCAI (10), 2024)

Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification. - Yuanhang Zheng; Yiqiao Qiu; Haoxuan Che; Hao Chen 011; Wei-Shi Zheng 001; Ruixuan Wang (MICCAI (10), 2024)

FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector. - Jiankang Chen; Ling Deng; Zhiyong Gan; Wei-Shi Zheng 001; Ruixuan Wang (ACM Multimedia, 2024)

Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications. - Jingwei Li; Haipeng Zhang 002; Ruixuan Wang; Zhensheng Jia; Qing Li (OFC, 2024)

Fine-Tuning of CLIP in Few-Shot Scenarios via Supervised Contrastive Learning. - Jing Luo; Guangxing Wu; Hongmei Liu; Ruixuan Wang (PRCV (3), 2024)

EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation. - Peng Wang; Jiankang Chen; Yuren Zhou; Ruixuan Wang (PRCV (3), 2024)

Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning. - Weizhuo Zhang; Jiankang Chen; Wentao Zhang 005; Zhijun Tan; Ruixuan Wang (PRCV (3), 2024)

Continual learning for seizure prediction via memory projection strategy. - Yufei Shi 001; Shishi Tang; Yuxuan Li; Zhipeng He 005; Shengsheng Tang; Ruixuan Wang; Wei-Shi Zheng 001; Ziyi Chen; Yi Zhou 005 (Comput. Biol. Medicine, 2024)

Night construction site detection based on ghost-YOLOX. - Guijin Han; Ruixuan Wang; Wuyan Xu; Jun Li (Connect. Sci., 2024)

Intensive Vision-guided Network for Radiology Report Generation. - Fudan Zheng; Mengfei Li; Ying Wang; Weijiang Yu; Ruixuan Wang; Zhiguang Chen 001; Nong Xiao 001; Yutong Lu (CoRR, 2024)

Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection. - Xuchen Xie; Yiqiao Qiu; Run Lin; Weishi Zheng 001; Ruixuan Wang (CoRR, 2024)

Classifier-Head Informed Feature Masking and Prototype-Based Logit Smoothing for Out-of-Distribution Detection. - Zhuohao Sun; Yiqiao Qiu; Zhijun Tan; Weishi Zheng 001; Ruixuan Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

PAMI: Partition Input and Aggregate Outputs for Model Interpretation. - Wei Shi; Wentao Zhang 005; Wei-Shi Zheng 001; Ruixuan Wang (Pattern Recognit., 2024)

A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. - Ruixuan Wang; Sabrina Hassan Moon; Xiaobo Sharon Hu; Xun Jiao; Dayane Reis (IEEE Trans. Computers, 2024)

Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. - Wentao Zhang 005; Yujun Huang; Weizhuo Zhang; Tong Zhang 017; Qicheng Lao; Yue Yu 001; Wei-Shi Zheng 001; Ruixuan Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Evaluating socio-demographic risk factors of asthma control and effects of using a pilot asthma self-management mobile platform. - Ruixuan Wang; Kevin C. H. Tsang (ICHI, 2025)

A knowledge graph-driven framework of multi-stakeholder synergistic operation and maintenance for complex products: design, implementation and industrial validation. - Xin Zhao; Ruixuan Wang; Shan Ren; Geng Zhang; Yingfeng Zhang (Adv. Eng. Informatics, 2025)

Semi-supervised medical image segmentation via weak-to-strong perturbation consistency and edge-aware contrastive representation. - Yang Yang 002; Guoying Sun; Tong Zhang 017; Ruixuan Wang; Jingyong Su (Medical Image Anal., 2025)

A PVT-insensitive 7T SRAM CIM macro for multibit multiplication with dynamic matching quantization circuits. - Chenghu Dai; Jianhao Zhang; Ruixuan Wang; Junbo Chen; Wei Hu; Licai Hao; Wenjuan Lu; Zhiting Lin; Chunyu Peng; Xiulong Wu (Microelectron. J., 2025)

Multimodal model for the diagnosis of biliary atresia based on sonographic images and clinical parameters. - Wenying Zhou; Run Lin; Yuanhang Zheng; Shan Wang; Bin Xu; Zijian Tang; Ruixuan Wang; Cheng Yu; Hualin Yan; Juxian Liu; Wen Ling; Guangliang Huang; et al. (npj Digit. Medicine, 2025)

CLIP-Based Grid Features and Masking for Remote Sensing Image Captioning. - Qiaoling Lin; Shuang Wang 001; Xiutiao Ye; Ruixuan Wang; Rui Yang 038; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Visual Class Incremental Learning With Textual Priors Guidance Based on an Adapted Vision-Language Model. - Wentao Zhang 005; Tong Yu; Ruixuan Wang; Jianhui Xie; Emanuele Trucco; Wei-Shi Zheng 001; Xiaobo Yang (IEEE Trans. Multim., 2025)

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection. - Xinhua Lu; Runhe Lai; Yanqi Wu; Kanghao Chen; Wei-Shi Zheng 001; Ruixuan Wang (CoRR, 2025)

DAT: Dual-Branch Adapter-Tuning for Few-Shot Recognition. - Junxi Chen; Guangxing Wu; Hongxiang Li; Jiankang Chen; Wentao Zhang 005; Wei-Shi Zheng 001; Ruixuan Wang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Boundary-Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Yang Yang 002; Jiaxin Zhuang; Guoying Sun; Ruixuan Wang; Jingyong Su (IEEE Trans. Medical Imaging, 2025)

Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts. - Jiantao Tan; Peixian Ma; Kanghao Chen; Zhiming Dai; Ruixuan Wang (CoRR, 2025)

Decoupling Continual Semantic Segmentation. - Yifu Guo; Yuquan Lu; Wentao Zhang; Zishan Xu; Dexia Chen; Siyu Zhang; Yizhe Zhang; Ruixuan Wang (CoRR, 2025)

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models. - Dexia Chen; Wentao Zhang; Qianjie Zhu; Ping Hu; Weibing Li; Tong Zhang; Ruixuan Wang (CoRR, 2025)

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning. - Dexia Chen; Qianjie Zhu; Weibing Li; Yue Yu 001; Tong Zhang 017; Ruixuan Wang (CoRR, 2025)