Preliminary Study of Obstacles Detecting Method in Farmland Based on Stereovision. - Fuzeng Yang; Shan Liu; Liping Chen; Yuanjie Wang; Zheng Wang; Xinxing Xu (IScIDE, 2011)

Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. - Shengye Yan; Xinxing Xu; Dong Xu 001; Stephen Lin 001; Xuelong Li 001 (ECCV (4), 2012)

Handling Ambiguity via Input-Output Kernel Learning. - Xinxing Xu; Ivor W. Tsang; Dong Xu 001 (ICDM, 2012)

Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation. - Dong Xu 001; Yi Huang 014; Zinan Zeng; Xinxing Xu (IEEE Trans. Image Process., 2012)

Soft Margin Multiple Kernel Learning. - Xinxing Xu; Ivor W. Tsang; Dong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2013)

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance. - Shengye Yan; Xinxing Xu; Qingshan Liu 001 (Int. J. Autom. Comput., 2014)

Learning the object location, scale and view for image categorization with adapted classifier. - Shengye Yan; Xinxing Xu; Qingshan Liu 001 (Inf. Sci., 2014)

Learning with multiple representations : algorithms and applications - Xinxing Xu (2014)

Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. - Shengye Yan; Xinxing Xu; Dong Xu 001; Stephen Lin 001; Xuelong Li 001 (IEEE Trans. Cybern., 2015)

Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification. - Xinxing Xu; Wen Li 001; Dong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Transfer Hashing with Privileged Information. - Joey Tianyi Zhou; Xinxing Xu; Sinno Jialin Pan; Ivor W. Tsang; Zheng Qin 004; Rick Siow Mong Goh (IJCAI, 2016)

Improved Recurrent Neural Networks for Session-based Recommendations. - Yong Kiam Tan; Xinxing Xu; Yong Liu 026 (DLRS@RecSys, 2016)

Simple and Efficient Learning using Privileged Information. - Xinxing Xu; Joey Tianyi Zhou; Ivor W. Tsang; Zheng Qin 004; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2016)

Co-Labeling for Multi-View Weakly Labeled Learning. - Xinxing Xu; Wen Li 001; Dong Xu 001; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Laplacian-Steered Neural Style Transfer. - Shaohua Li; Xinxing Xu; Liqiang Nie; Tat-Seng Chua (ACM Multimedia, 2017)

Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources. - Li Niu 002; Xinxing Xu; Lin Chen 021; Lixin Duan; Dong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Citation Field Learning by RNN with Limited Training Data. - Yiqing Zhang; Yimeng Dai; Jianzhong Qi 001; Xinxing Xu; Rui Zhang 003 (PAKDD (Workshops), 2018)

Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning. - Xinxing Xu; Shijie Xiao; Zhang Yi 001; Xi Peng 001; Yong Liu 026 (IEEE Trans. Cogn. Dev. Syst., 2018)

Research on Data Mining Technology for Fault Correlation Analysis of Power Communication Network. - Bo Zhang; Xiaoyin Nie; Gang Xie; Xinxing Xu (ICCA, 2019)

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. - Gabriel Tjio; Shaohua Li 003; Xinxing Xu; Daniel Shu Wei Ting; Yong Liu 026; Rick Siow Mong Goh (OMIA@MICCAI, 2019)

Crowd Counting With Partial Annotations in an Image. - Yanyu Xu; Ziming Zhong; Dongze Lian; Jing Li 117; Zhengxin Li; Xinxing Xu; Shenghua Gao (ICCV, 2021)

Medical Image Segmentation using Squeeze-and-Expansion Transformers. - Shaohua Li 003; Xiuchao Sui; Xiangde Luo; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (IJCAI, 2021)

Few-Shot Domain Adaptation with Polymorphic Transformers. - Shaohua Li 003; Xiuchao Sui; Jie Fu; Huazhu Fu; Xiangde Luo; Yangqin Feng; Xinxing Xu; Yong Liu 026; Daniel Shu Wei Ting; Rick Siow Mong Goh (MICCAI (2), 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 026 (MICCAI (1), 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; et al. (Symmetry, 2021)

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. - Xiuchao Sui; Shaohua Li 003; Xue Geng; Yan Wu 002; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh; Hongyuan Zhu (CVPR, 2022)

Airfoil Inverse Design using Conditional Generative Adversarial Networks. - Xavier Tan; Manna Dai; Joyjit Chattoraj; Yong Liu 026; Xinxing Xu; My Ha Dao; Feng Yang 011 (ICARCV, 2022)

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. - Linh D. Le; Huazhu Fu; Xinxing Xu; Yong Liu 026; Yanyu Xu; Jiawei Du; Joey Tianyi Zhou; Rick Siow Mong Goh (REMIA@MICCAI, 2022)

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. - Xiaofeng Lei; Shaohua Li 003; Xinxing Xu; Huazhu Fu; Yong Liu 026; Yih Chung Tham; Yangqin Feng; Mingrui Tan; Yanyu Xu; Jocelyn Hui Lin Goh; Rick Siow Mong Goh; Ching-Yu Cheng (OMIA@MICCAI, 2022)

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. - Meng Wang 001; Kai Yu 009; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Yanyu Xu; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (OMIA@MICCAI, 2022)

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. - Yanyu Xu; Xinxing Xu; Huazhu Fu; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026 (REMIA@MICCAI, 2022)

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. - Manna Dai; Yang Jiang; Feng Yang 011; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Appl. Soft Comput., 2022)

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. - Huihui Fang; Fei Li 021; Huazhu Fu; Xu Sun 006; Xingxing Cao; Jaemin Son; Shuang Yu; Menglu Zhang; Chenglang Yuan; Cheng Bian; Baiying Lei; Benjian Zhao; et al. (CoRR, 2022)

Research on cluster operation optimization of multi-port energy routers. - Xinxing Xu; Nengling Tai; Yan Hu; Xiaodong Zheng; Chen Qing (IET Commun., 2022)

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images. - Yangqin Feng; Xinxing Xu; Yan Wang 015; Xiaofeng Lei; Soo Kng Teo; Jordan Zheng Ting Sim; Yonghan Ting; Liangli Zhen; Joey Tianyi Zhou; Yong Liu 026; Cher Heng Tan (IEEE J. Biomed. Health Informatics, 2022)

Learning Federated Visual Prompt in Null Space for MRI Reconstruction. - Chun-Mei Feng 001; Bangjun Li; Xinxing Xu; Yong Liu 026; Huazhu Fu; Wangmeng Zuo (CVPR, 2023)

Towards Instance-adaptive Inference for Federated Learning. - Chun-Mei Feng 001; Kai Yu 009; Nian Liu; Xinxing Xu; Salman Khan 001; Wangmeng Zuo (ICCV, 2023)

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. - Zhihao Chen 004; Yang Zhou 017; Anh Tran; Junting Zhao; Liang Wan; Gideon Ooi; Lionel Tim-Ee Cheng; Choon Hua Thng; Xinxing Xu; Yong Liu 026; Huazhu Fu (MICCAI (7), 2023)

Category-Independent Visual Explanation for Medical Deep Network Understanding. - Yiming Qian; Liangzhi Li 004; Huazhu Fu; Meng Wang 001; Qingsheng Peng; Yih Chung Tham; Ching Yu Cheng; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (MICCAI (2), 2023)

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. - Meng Wang 001; Lianyu Wang; Xinxing Xu; Ke Zou; Yiming Qian; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (MICCAI (2), 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 026 (MICCAI (3), 2023)

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 001; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. - Zhihao Chen 004; Yang Zhou 017; Anh Tran; Junting Zhao; Liang Wan; Gideon Ooi; Lionel Cheng; Choon Hua Thng; Xinxing Xu; Yong Liu 026; Huazhu Fu (CoRR, 2023)

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. - Meng Wang 038; Tian Lin; Lianyu Wang; Aidi Lin; Ke Zou; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Qingquan Meng; Yiming Qian; Guoyao Deng; Zhiqun Wu; et al. (CoRR, 2023)

Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation. - Han Yuan; Chuan Hong; Nguyen Tuan Anh Tran; Xinxing Xu; Nan Liu 003 (CoRR, 2023)

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. - Chun-Mei Feng 001; Yang Bai; Tao Luo 014; Zhen Li 026; Salman Khan 001; Wangmeng Zuo; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (CoRR, 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 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; et al. (Nat. Mac. Intell., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

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 026 (AAAI, 2024)

Sentence-level Prompts Benefit Composed Image Retrieval. - Yang Bai; Xinxing Xu; Yong Liu 026; Salman Khan 001; Fahad Khan 001; Wangmeng Zuo; Rick Siow Mong Goh; Chun-Mei Feng 001 (ICLR, 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 026; Ching-Yu Cheng (OMIA@MICCAI, 2024)

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. - Yanyu Xu; Yingzhi Xia; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026; Xinxing Xu (MICCAI (9), 2024)

A New Perspective to Boost Performance Fairness For Medical Federated Learning. - Yunlu Yan; Lei Zhu 003; Yuexiang Li; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Salman H. Khan 001; Chun-Mei Feng 001 (MICCAI (10), 2024)

UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. - Kai Yu 009; Yang Zhou 017; Yang Bai; Zhi Da Soh; Xinxing Xu; Rick Siow Mong Goh; Ching-Yu Cheng; Yong Liu 026 (MICCAI (12), 2024)

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 003; Yanyu Xu; Huazhu Fu; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (MLMI@MICCAI (2), 2024)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. - Yang Zhou 017; Tan Li Hui Faith; Yanyu Xu; Sicong Leng; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (NeurIPS, 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 016 (OFC, 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 026; Chun-Mei Feng 001; Wangmeng Zuo (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 026 (CoRR, 2024)

CPT: Consistent Proxy Tuning for Black-box Optimization. - Yuanyang He; Zitong Huang; Xinxing Xu; Rick Siow Mong Goh; Salman Khan 001; Wangmeng Zuo; Yong Liu 026; Chun-Mei Feng 001 (CoRR, 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 003 (J. Biomed. Informatics, 2024)

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Neural Networks, 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; et al. (npj Digit. Medicine, 2024)

DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. - Xingyu Miao; Yang Bai; Haoran Duan 001; Yawen Huang; Fan Wan; Xinxing Xu; Yang Long 001; Yefeng Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; 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; et al. (IEEE Trans. Medical Imaging, 2024)

Ad2Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation. - Lei Zhu 003; Yanyu Xu; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (WACV, 2025)

MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior. - Manna Dai; Yang Jiang; Feng Yang 011; Joyjit Chattoraj; Yingzhi Xia; Xinxing Xu; Weijiang Zhao; My Ha Dao; Yong Liu 026 (Knowl. Based Syst., 2025)

Reliable Federated Disentangling Network for Non-IID Domain Feature. - Meng Wang 038; Kai Yu 009; Chun-Mei Feng 001; Yiming Qian; Ke Zou; Lianyu Wang; Rick Siow Mong Goh; Xinxing Xu; Yong Liu 026; Huazhu Fu (IEEE Trans. Big Data, 2025)

An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye care. - Zhi Da Soh; Yang Bai; Kai Yu 009; Yang Zhou 017; Xiaofeng Lei; Sahil Thakur; Zann Lee; Lee Ching Linette Phang; Qingsheng Peng; Cancan Xue; Rachel Chong; Quan V. Hoang; et al. (CoRR, 2025)

Text to Image for Multi-Label Image Recognition With Joint Prompt-Adapter Learning. - Chun-Mei Feng 001; Kai Yu 009; Xinxing Xu; Salman Khan 001; Rick Siow Mong Goh; Wangmeng Zuo; Yong Liu 026 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)