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2020 – today
- 2024
- [j21]Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu:
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification. J. Biomed. Informatics 156: 104673 (2024) - [j20]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. Neural Networks 180: 106654 (2024) - [j19]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:
Optical coherence tomography choroidal enhancement using generative deep learning. npj Digit. Medicine 7(1) (2024) - [j18]Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng:
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2564-2576 (2024) - [j17]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:
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. IEEE Trans. Medical Imaging 43(5): 1945-1957 (2024) - [c33]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. AAAI 2024: 22401-22409 - [c32]Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. ICLR 2024 - [c31]Yunlu Yan, Lei Zhu, Yuexiang Li, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Salman H. Khan, Chun-Mei Feng:
A New Perspective to Boost Performance Fairness For Medical Federated Learning. MICCAI (10) 2024: 13-23 - [c30]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:
Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust. OMIA@MICCAI 2024: 146-156 - [c29]Yanyu Xu, Yingzhi Xia, Huazhu Fu, Rick Siow Mong Goh, Yong Liu, Xinxing Xu:
Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. MICCAI (9) 2024: 467-477 - [c28]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. MICCAI (12) 2024: 753-762 - [c27]Lei Zhu, Yanyu Xu, Huazhu Fu, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. MLMI@MICCAI (2) 2024: 85-94 - [c26]Weijie Yang, Chunyu Zhang, Danshi Wang, Hong Zhu, Xinxing Xu, Degang Shi, Min Zhang:
Data Labeling Using Unsupervised Cascaded Pre-training with Fused Multi-port Data for Optical Failure Management. OFC 2024: 1-3 - [i26]Zitong Huang, Ze Chen, Zhixing Chen, Erjin Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu, Chun-Mei Feng, Wangmeng Zuo:
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. CoRR abs/2401.01598 (2024) - [i25]Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design. CoRR abs/2401.02961 (2024) - [i24]Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. CoRR abs/2403.05112 (2024) - [i23]Han Yuan, Chuan Hong, Pengtao Jiang, Gangming Zhao, Nguyen Tuan Anh Tran, Xinxing Xu, Yet Yen Yan, Nan Liu:
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification. CoRR abs/2403.18871 (2024) - [i22]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:
Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR abs/2404.11816 (2024) - [i21]Yuanyang He, Zitong Huang, Xinxing Xu, Rick Siow Mong Goh, Salman Khan, Wangmeng Zuo, Yong Liu, Chun-Mei Feng:
CPT: Consistent Proxy Tuning for Black-box Optimization. CoRR abs/2407.01155 (2024) - [i20]Kai Yu, Yang Zhou, Yang Bai, Zhi Da Soh, Xinxing Xu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu:
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling. CoRR abs/2408.05618 (2024) - 2023
- [j16]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:
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. Medical Image Anal. 83: 102664 (2023) - [j15]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:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j14]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:
Federated benchmarking of medical artificial intelligence with MedPerf. Nat. Mac. Intell. 5(7): 799-810 (2023) - [c25]Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CVPR 2023: 8064-8073 - [c24]Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. ICCV 2023: 23230-23239 - [c23]Yiming Qian, Liangzhi Li, Huazhu Fu, Meng Wang, Qingsheng Peng, Yih Chung Tham, Ching Yu Cheng, Yong Liu, Rick Siow Mong Goh, Xinxing Xu:
Category-Independent Visual Explanation for Medical Deep Network Understanding. MICCAI (2) 2023: 181-191 - [c22]Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. MICCAI (2) 2023: 222-232 - [c21]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:
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. MICCAI (7) 2023: 371-381 - [c20]Yanyu Xu, Menghan Zhou, Yangqin Feng, Xinxing Xu, Huazhu Fu, Rick Siow Mong Goh, Yong Liu:
Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. MICCAI (3) 2023: 625-636 - [e2]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i19]Meng Wang, Kai Yu, Chun-Mei Feng, Yiming Qian, Ke Zou, Lianyu Wang, Rick Siow Mong Goh, Xinxing Xu, Yong Liu, Huazhu Fu:
TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature. CoRR abs/2301.12798 (2023) - [i18]Zhihao Chen, Yang Zhou, Anh Tran, Junting Zhao, Liang Wan, Gideon Ooi, Lionel Cheng, Choon Hua Thng, Xinxing Xu, Yong Liu, Huazhu Fu:
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment. CoRR abs/2303.07618 (2023) - [i17]Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. CoRR abs/2303.13033 (2023) - [i16]Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo:
Learning Federated Visual Prompt in Null Space for MRI Reconstruction. CoRR abs/2303.16181 (2023) - [i15]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:
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. CoRR abs/2304.03981 (2023) - [i14]Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo:
Towards Instance-adaptive Inference for Federated Learning. CoRR abs/2308.06051 (2023) - [i13]Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng:
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. CoRR abs/2308.07225 (2023) - [i12]Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Shahbaz Khan, Wangmeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng:
Sentence-level Prompts Benefit Composed Image Retrieval. CoRR abs/2310.05473 (2023) - [i11]Han Yuan, Chuan Hong, Nguyen Tuan Anh Tran, Xinxing Xu, Nan Liu:
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation. CoRR abs/2311.15213 (2023) - [i10]Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman Khan, Wangmeng Zuo, Xinxing Xu, Rick Siow Mong Goh, Yong Liu:
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CoRR abs/2312.12273 (2023) - 2022
- [j13]Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu:
SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. Appl. Soft Comput. 130: 109646 (2022) - [j12]Xinxing Xu, Nengling Tai, Yan Hu, Xiaodong Zheng, Chen Qing:
Research on cluster operation optimization of multi-port energy routers. IET Commun. 16(8): 856-865 (2022) - [j11]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:
Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images. IEEE J. Biomed. Health Informatics 26(3): 1080-1090 (2022) - [c19]Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu:
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CVPR 2022: 17581-17590 - [c18]Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang:
Airfoil Inverse Design using Conditional Generative Adversarial Networks. ICARCV 2022: 143-148 - [c17]Linh D. Le, Huazhu Fu, Xinxing Xu, Yong Liu, Yanyu Xu, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh:
An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. REMIA@MICCAI 2022: 65-74 - [c16]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:
Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. OMIA@MICCAI 2022: 94-104 - [c15]Meng Wang, Kai Yu, Xinxing Xu, Yi Zhou, Yuanyuan Peng, Yanyu Xu, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. OMIA@MICCAI 2022: 125-134 - [c14]Yanyu Xu, Xinxing Xu, Huazhu Fu, Meng Wang, Rick Siow Mong Goh, Yong Liu:
Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. REMIA@MICCAI 2022: 126-136 - [e1]Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu:
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents] - [i9]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:
REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment. CoRR abs/2202.08994 (2022) - [i8]Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu:
CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. CoRR abs/2203.16896 (2022) - [i7]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:
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks. CoRR abs/2210.02445 (2022) - 2021
- [j10]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:
β-Delayed γ Emissions of 26P and Its Mirror Asymmetry. Symmetry 13(12): 2278 (2021) - [c13]Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao:
Crowd Counting With Partial Annotations in an Image. ICCV 2021: 15550-15559 - [c12]Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. IJCAI 2021: 807-815 - [c11]Yanyu Xu, Xinxing Xu, Lei Jin, Shenghua Gao, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu:
Partially-Supervised Learning for Vessel Segmentation in Ocular Images. MICCAI (1) 2021: 271-281 - [c10]Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Few-Shot Domain Adaptation with Polymorphic Transformers. MICCAI (2) 2021: 330-340 - [i6]Shaohua Li, Xiuchao Sui, Xiangde Luo, Xinxing Xu, Yong Liu, Rick Siow Mong Goh:
Medical Image Segmentation using Squeeze-and-Expansion Transformers. CoRR abs/2105.09511 (2021) - [i5]Shaohua Li, Xiuchao Sui, Jie Fu, Huazhu Fu, Xiangde Luo, Yangqin Feng, Xinxing Xu, Yong Liu, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Few-Shot Domain Adaptation with Polymorphic Transformers. CoRR abs/2107.04805 (2021)
2010 – 2019
- 2019
- [c9]Bo Zhang, Xiaoyin Nie, Gang Xie, Xinxing Xu:
Research on Data Mining Technology for Fault Correlation Analysis of Power Communication Network. ICCA 2019: 1482-1487 - [c8]Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh:
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation. OMIA@MICCAI 2019: 148-155 - 2018
- [j9]Xinxing Xu, Shijie Xiao, Zhang Yi, Xi Peng, Yong Liu:
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning. IEEE Trans. Cogn. Dev. Syst. 10(2): 280-289 (2018) - [c7]Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang:
Citation Field Learning by RNN with Limited Training Data. PAKDD (Workshops) 2018: 219-232 - 2017
- [j8]Li Niu, Xinxing Xu, Lin Chen, Lixin Duan, Dong Xu:
Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources. IEEE Trans. Neural Networks Learn. Syst. 28(6): 1290-1304 (2017) - [c6]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. ACM Multimedia 2017: 1716-1724 - [i4]Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua:
Laplacian-Steered Neural Style Transfer. CoRR abs/1707.01253 (2017) - 2016
- [j7]Xinxing Xu, Wen Li, Dong Xu, Ivor W. Tsang:
Co-Labeling for Multi-View Weakly Labeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1113-1125 (2016) - [c5]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. IJCAI 2016: 2414-2420 - [c4]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. DLRS@RecSys 2016: 17-22 - [i3]Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu:
Simple and Efficient Learning using Privileged Information. CoRR abs/1604.01518 (2016) - [i2]Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh:
Transfer Hashing with Privileged Information. CoRR abs/1605.04034 (2016) - [i1]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. CoRR abs/1606.08117 (2016) - 2015
- [j6]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning. IEEE Trans. Cybern. 45(3): 395-404 (2015) - [j5]Xinxing Xu, Wen Li, Dong Xu:
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3150-3162 (2015) - 2014
- [b1]Xinxing Xu:
Learning with multiple representations : algorithms and applications. Nanyang Technological University, Singapore, 2014 - [j4]Shengye Yan, Xinxing Xu, Qingshan Liu:
Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance. Int. J. Autom. Comput. 11(5): 480-488 (2014) - [j3]Shengye Yan, Xinxing Xu, Qingshan Liu:
Learning the object location, scale and view for image categorization with adapted classifier. Inf. Sci. 281: 661-673 (2014) - 2013
- [j2]Xinxing Xu, Ivor W. Tsang, Dong Xu:
Soft Margin Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 24(5): 749-761 (2013) - 2012
- [j1]Dong Xu, Yi Huang, Zinan Zeng, Xinxing Xu:
Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation. IEEE Trans. Image Process. 21(1): 316-326 (2012) - [c3]Shengye Yan, Xinxing Xu, Dong Xu, Stephen Lin, Xuelong Li:
Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification. ECCV (4) 2012: 473-487 - [c2]Xinxing Xu, Ivor W. Tsang, Dong Xu:
Handling Ambiguity via Input-Output Kernel Learning. ICDM 2012: 725-734 - 2011
- [c1]Fuzeng Yang, Shan Liu, Liping Chen, Yuanjie Wang, Zheng Wang, Xinxing Xu:
Preliminary Study of Obstacles Detecting Method in Farmland Based on Stereovision. IScIDE 2011: 676-683
Coauthor Index
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