Xinxing Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
12
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | WACV | Ad | Lei Zhu, Yanyu Xu, Yong Liu, Rick Siow Mong Goh, Xinxing Xu |
| 2024 | AAAI | 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 |
| 2024 | ICLR | Sentence-level Prompts Benefit Composed Image Retrieval. | Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2024 | MICCAI | 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 |
| 2023 | CVPR | Learning Federated Visual Prompt in Null Space for MRI Reconstruction. | Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo |
| 2023 | ICCV | Towards Instance-adaptive Inference for Federated Learning. | Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | 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 |
| 2022 | CVPR | 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 |
| 2022 | ICARCV | Airfoil Inverse Design using Conditional Generative Adversarial Networks. | Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2022 | MICCAI | 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 |
| 2021 | ICCV | Crowd Counting With Partial Annotations in an Image. | Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao |
| 2021 | IJCAI | Medical Image Segmentation using Squeeze-and-Expansion Transformers. | Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh |
| 2021 | MICCAI | 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 |
| 2021 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2018 | PAKDD | Citation Field Learning by RNN with Limited Training Data. | Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang |
| 2016 | IJCAI | Transfer Hashing with Privileged Information. | Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh |
| 2016 | RecSys | Improved Recurrent Neural Networks for Session-based Recommendations. | Yong Kiam Tan, Xinxing Xu, Yong Liu |
| 2012 | ECCV | 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 |
| 2012 | ICDM | Handling Ambiguity via Input-Output Kernel Learning. | Xinxing Xu, Ivor W. Tsang, Dong Xu |