Xinxing Xu

According to our database, Xinxing Xu authored at least 66 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.

Yan Wang, Liangli Zhen, Tien-En Tan, Huazhu Fu, Yangqin Feng, Zizhou Wang, Xinxing Xu, Rick Siow Mong Goh, Yipin Ng, Claire Calhoun, Gavin Siew Wei Tan, Jennifer K. Sun, Yong Liu, Daniel Shu Wei Ting

IEEE Trans. Medical Imaging, May, 2024

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.

Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng

IEEE Trans. Circuits Syst. Video Technol., April, 2024

Optical coherence tomography choroidal enhancement using generative deep learning.

Valentina Bellemo, Ankit Kumar Das, Syna Sreng, Jacqueline Chua, Damon Wing Kee Wong, Janika Shah, Rahul Jonas, Bingyao Tan, Xinyu Liu, Xinxing Xu, Gavin Siew Wei Tan, Rupesh Agrawal, Daniel Shu Wei Ting, Liu Yong, Leopold Schmetterer

npj Digit. Medicine, 2024

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design.

Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu

Neural Networks, 2024

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.

Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu

J. Biomed. Informatics, 2024

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays.

Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh

CoRR, 2024

CPT: Consistent Proxy Tuning for Black-box Optimization.

Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng

CoRR, 2024

Tailoring Generative Adversarial Networks for Smooth Airfoil Design.

Joyjit Chattoraj, Jian Cheng Wong, Zhang Zexuan, Manna Dai, Yingzhi Xia, Li Jichao, Xinxing Xu, Chin Chun Ooi, Yang Feng, My Ha Dao, Yong Liu

CoRR, 2024

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.

Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo

CoRR, 2024

Data Labeling Using Unsupervised Cascaded Pre-training with Fused Multi-port Data for Optical Failure Management.

Weijie Yang, Chunyu Zhang, Danshi Wang, Hong Zhu, Xinxing Xu, Degang Shi, Min Zhang

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation.

Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling.

Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A New Perspective to Boost Performance Fairness For Medical Federated Learning.

Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting.

Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust.

Xiaofeng Lei, Yih Chung Tham, Jocelyn Hui Lin Goh, Yangqin Feng, Yang Bai, Zhi Da Soh, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Ching-Yu Cheng

Proceedings of the Ophthalmic Medical Image Analysis - 11th International Workshop, 2024

Sentence-level Prompts Benefit Composed Image Retrieval.

Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.

Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.

Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu

Medical Image Anal., December, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.

Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Zheng Ting Sim, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan

Medical Image Anal., 2023

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.

Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu

CoRR, 2023

Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation.

Han Yuan, Chuan Hong, Nguyen Tuan Anh Tran, Xinxing Xu, Nan Liu

CoRR, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.

Meng Wang, Tian Lin, Lianyu Wang, Aidi Lin, Ke Zou, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Qingquan Meng, Yiming Qian, Guoyao Deng, Zhiqun Wu, Junhong Chen, Jianhong Lin, Mingzhi Zhang, Weifang Zhu, Changqing Zhang, Xinjian Chen, Daoqiang Zhang, Rick Siow Mong Goh, Yong Liu, Chi Pui Pang, Haoyu Chen, Huazhu Fu

CoRR, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.

Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu

CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.

Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu

CoRR, 2023

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory.

Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.

Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.

Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.

Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Tim-Ee Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Instance-adaptive Inference for Federated Learning.

Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction.

Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.

Yangqin Feng, Xinxing Xu, Yan Wang, Xiaofeng Lei, Soo Kng Teo, Jordan Zheng Ting Sim, Yonghan Ting, Liangli Zhen, Joey Tianyi Zhou, Yong Liu, Cher Heng Tan

IEEE J. Biomed. Health Informatics, 2022

Research on cluster operation optimization of multi-port energy routers.

Xinxing Xu, Nengling Tai, Yan Hu, Xiaodong Zheng, Chen Qing

IET Commun., 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.

Huihui Fang, Fei Li, Huazhu Fu, Xu Sun, Xingxing Cao, Jaemin Son, Shuang Yu, Menglu Zhang, Chenglang Yuan, Cheng Bian, Baiying Lei, Benjian Zhao, Xinxing Xu, Shaohua Li, Francisco Fumero, José F. Sigut, Haidar Almubarak, Yakoub Bazi, Yuanhao Guo, Yating Zhou, Ujjwal Baid, Shubham Innani, Tianjiao Guo, Jie Yang, José Ignacio Orlando, Hrvoje Bogunovic, Xiulan Zhang, Yanwu Xu

CoRR, 2022

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks.

Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu

Appl. Soft Comput., 2022

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer.

Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.

Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.

Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng

Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.

Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Airfoil Inverse Design using Conditional Generative Adversarial Networks.

Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang

Proceedings of the 17th International Conference on Control, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.

Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

β-Delayed γ Emissions of 26P and Its Mirror Asymmetry.

Hao Jian, Yufeng Gao, Fanchao Dai, Jiajian Liu, Xinxing Xu, Cenxi Yuan, Kazunari Kaneko, Yang Sun, Pengfei Liang, Guozhu Shi, Lijie Sun, Latsamy Xayavong, Chengjian Lin, Jenny Lee, Zhihuan Li, Yanyun Yang, Pengjie Li, Rui Fan, Sixian Zha, Haofan Zhu, Jinhai Li, Qirui Gao, Zhaozhan Zhang, Ruofu Chen, Jiansong Wang, Dongxi Wang, Hongyi Wu, Kang Wang, Yihua Lam, Fangfang Duan, Peng Ma, Zhihao Gao, Qiang Hu, Zhen Bai, Junbing Ma, Jianguo Wang, Fupeng Zhong, Chenguang Wu, Diwen Luo, Ying Jiang, Yang Liu, Dongsheng Hou, Ren Li, Nanru Ma, Weihu Ma, Gongming Yu, Dipika Patel, Shuya Jin, Yufeng Wang, Yuechao Yu, Qingwu Zhou, Peng Wang, Liyuan Hu, Xiang Wang, Hongliang Zang, Qingqing Zhao, Lei Yang, Peiwei Wen, Feng Yang, Huiming Jia, Gaolong Zhang, Min Pan, Xiaoyu Wang, Haohan Sun, Meng Wang, Zhengguo Hu, Xiaohong Zhou, Yuhu Zhang, Hushan Xu, Minliang Liu, Hooi-Jin Ong, Weiqing Yang

Symmetry, 2021

Partially-Supervised Learning for Vessel Segmentation in Ocular Images.

Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.

Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.

Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Crowd Counting With Partial Annotations in an Image.

Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.

Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Research on Data Mining Technology for Fault Correlation Analysis of Power Communication Network.

Bo Zhang, Xiaoyin Nie, Gang Xie, Xinxing Xu

Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018

Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.

Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng, Yong Liu

IEEE Trans. Cogn. Dev. Syst., 2018

Citation Field Learning by RNN with Limited Training Data.

Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017

Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources.

Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2017

Laplacian-Steered Neural Style Transfer.

Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Co-Labeling for Multi-View Weakly Labeled Learning.

Xinxing Xu, Wen Li, Dong Xu, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Simple and Efficient Learning using Privileged Information.

Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu

CoRR, 2016

Improved Recurrent Neural Networks for Session-based Recommendations.

Yong Kiam Tan, Xinxing Xu, Yong Liu

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Transfer Hashing with Privileged Information.

Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

Xinxing Xu, Wen Li, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2015

Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning.

Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li

IEEE Trans. Cybern., 2015

2014

Learning with multiple representations : algorithms and applications

Xinxing Xu

PhD thesis, 2014

Learning the object location, scale and view for image categorization with adapted classifier.

Shengye Yan, Xinxing Xu, Qingshan Liu

Inf. Sci., 2014

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance.

Shengye Yan, Xinxing Xu, Qingshan Liu

Int. J. Autom. Comput., 2014

2013

Soft Margin Multiple Kernel Learning.

Xinxing Xu, Ivor W. Tsang, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation.

Dong Xu, Yi Huang, Zinan Zeng, Xinxing Xu

IEEE Trans. Image Process., 2012

Handling Ambiguity via Input-Output Kernel Learning.

Xinxing Xu, Ivor W. Tsang, Dong Xu

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification.

Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Preliminary Study of Obstacles Detecting Method in Farmland Based on Stereovision.

Fuzeng Yang, Shan Liu, Liping Chen, Yuanjie Wang, Zheng Wang, Xinxing Xu

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011