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ORCIDYong Liu 0026
Person information
- affiliation: A*STAR, Artificial Intelligence Initiative, Singapore
- affiliation: A*STAR, Institute of High Performance Computing, Singapore
- affiliation (PhD 2006): National University of Singapore, Department of Electrical and Computer Engineering, Singapore
Other persons with the same name
- Yong Liu — disambiguation page
- Yong Liu 0001
![[0000-0003-3156-7002]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3156-7002")
— Outreach Corporation, Seattle, WA, USA (and 3 more) - Yong Liu 0002 — Chinese Academy of Sciences, Institute of Automation, Brainnetome Center, Beijing, China
- Yong Liu 0003 — Peking University, College of Environmental Science and Engineering, Beijing, China
- Yong Liu 0004 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Yong Liu 0005 — Southwest Jiaotong University, Key Laboratory of Information Coding and Transmission, Chengdu, China
- Yong Liu 0006 — University of Tennessee, Knoxville, TN, USA
- Yong Liu 0007 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 1 more)
- Yong Liu 0008 — Wenzhou Medical University, School of Ophthalmology and Optometry, China
- Yong Liu 0009 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Yong Liu 0010 — Aalto University School of Business, Department of Information and Service Economy, Aalto, Finland (and 3 more)
- Yong Liu 0011 — Jilin University, School of Mechanical Science and Engineering, Changchun, China
- Yong Liu 0012 — The University of Aizu, Aizu-Wakamatsu, Japan (and 4 more)
- Yong Liu 0013 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA (and 1 more)
- Yong Liu 0014 — Texas A&M University, College Station, USA
- Yong Liu 0015 — Nottingham Trent University, UK
- Yong Liu 0016 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Yong Liu 0017 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Yong Liu 0018 — Renmin University of China, China (and 2 more)
- Yong Liu 0019 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yong Liu 0020 — Huawei Noah's Ark Lab, Singapore (and 1 more)
- Yong Liu 0021 — Beijing Polytechnic, School of Telecommunication Engineering, Beijing, China
- Yong Liu 0022 — Jiangnan University, School of Business, Wuxi, China
- Yong Liu 0023 — Shanghai Jiao Tong University, China (and 3 more)
- Yong Liu 0024 — Indiana University, Department of Computer Science, Bloomington, IN, USA
- Yong Liu 0025 — Northwestern Polytechnical University, College of Automation, Xi'an, China
- Yong Liu 0027 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Yong Liu 0028 — Chongqing Jiaotong University, School of Economics and Management, Chongqing, China
- Yong Liu 0029 — Heilongjiang University, China
- Yong Liu 0030 — University of Chemical Technology, College of Information Science and Technology, Beijing, China
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Journal Articles
- 2024
[j17]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)- [j16]Yan Wang, Liangli Zhen, Jianwei Zhang, Miqing Li, Lei Zhang, Zizhou Wang, Yangqin Feng, Yu Xue, Xiao Wang, Zheng Chen, Tao Luo, Rich Siow Mong Goh, Yong Liu:
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. IEEE Trans. Evol. Comput. 28(3): 668-681 (2024) - [j15]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) - 2023
- [j14]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) - [j13]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) - [j12]Meng Wang, Tian Lin, Yuanyuan Peng, Weifang Zhu, Yi Zhou, Fei Shi, Kai Yu, Qingquan Meng, Yong Liu, Zhongyue Chen, Yuhe Shen, Dehui Xiang, Haoyu Chen, Xinjian Chen:
Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images. IEEE Trans. Biomed. Eng. 70(7): 2013-2024 (2023) - 2022
- [j11]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) - [j10]Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen:
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. Medical Image Anal. 81: 102535 (2022) - [j9]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) - 2019
- [j8]Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh:
AnomalyNet: An Anomaly Detection Network for Video Surveillance. IEEE Trans. Inf. Forensics Secur. 14(10): 2537-2550 (2019) - 2018
- [j7]Wei Jing, Chun Fan Goh, Mabaran Rajaraman, Fei Gao, Sooho Park, Yong Liu, Kenji Shimada:
A Computational Framework for Automatic Online Path Generation of Robotic Inspection Tasks via Coverage Planning and Reinforcement Learning. IEEE Access 6: 54854-54864 (2018) - [j6]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) - 2011
- [j5]Jian Qiu, Yong Liu, Gurusamy Mohan, Kee Chaing Chua:
Fast spanning tree reconnection mechanism for resilient Metro Ethernet networks. Comput. Networks 55(12): 2717-2729 (2011) - [j4]Jian Qiu, Mohan Gurusamy, Kee Chaing Chua, Yong Liu:
Local restoration with multiple spanning trees in metro ethernet networks. IEEE/ACM Trans. Netw. 19(2): 602-614 (2011) - 2010
- [j3]Yong Liu, Kee Chaing Chua, Gurusamy Mohan:
Achieving High Performance Burst Transmission for Bursty Traffic using Optical Burst Chain Switching in WDM Networks. IEEE Trans. Commun. 58(7): 2127-2136 (2010) - 2009
- [j2]Yong Liu, Gurusamy Mohan, Kee Chaing Chua, Jia Lu:
Multipath traffic engineering in WDM optical burst switching networks. IEEE Trans. Commun. 57(4): 1099-1108 (2009) - 2007
- [j1]Yong Liu, Kee Chaing Chua, Gurusamy Mohan:
Max-min fairness in WDM optical burst switching networks. J. High Speed Networks 16(4): 379-398 (2007)
Conference and Workshop Papers
- 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 - 2023
- [c31]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 - [c30]Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. ICCV 2023: 2704-2714 - [c29]Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu:
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. ICCV 2023: 5103-5112 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - 2022
- [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - 2021
- [c18]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 - [c17]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 - [c16]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 - 2020
- [c15]Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing:
RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization. AAAI 2020: 10402-10409 - 2019
- [c14]Wei Jing, Di Deng, Zhe Xiao, Yong Liu, Kenji Shimada:
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection. IROS 2019: 1472-1479 - [c13]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 - [c12]Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Multi-Instance Multi-Scale CNN for Medical Image Classification. MICCAI (4) 2019: 531-539 - [c11]Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing:
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. ROBIO 2019: 148-153 - 2018
- [c10]Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh:
SC2Net: Sparse LSTMs for Sparse Coding. AAAI 2018: 4588-4595 - [c9]Wei Jing, Joey Tianyi Zhou, Fei Gao, Yong Liu, Pey Yuen Tao, Guilin Yang:
A Learning-based Approach for Error Compensation of Industrial Manipulator with Hybrid Model. ICARCV 2018: 216-221 - [c8]Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh:
Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems. ICPADS 2018: 763-770 - [c7]Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh:
EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain. ICPADS 2018: 998-1003 - 2017
- [c6]Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy:
Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. CCGrid 2017: 74-83 - 2016
- [c5]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. DLRS@RecSys 2016: 17-22 - 2015
- [c4]Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh:
Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns. RecSys Challenge 2015: 12:1-12:4 - 2009
- [c3]Jian Qiu, Gurusamy Mohan, Kee Chaing Chua, Yong Liu:
Handling Double-Link Failures in Metro Ethernet Networks Using Fast Spanning Tree Reconnection. GLOBECOM 2009: 1-6 - [c2]Jian Qiu, Yong Liu, Gurusamy Mohan, Kee Chaing Chua:
Fast Spanning Tree Reconnection for Resilient Metro Ethernet Networks. ICC 2009: 1-5 - 2007
- [c1]Yong Liu, Minh Hoang Phùng, Kee Chaing Chua, Gurusamy Mohan, Yanmei Guo, Sona Panneerselvan:
A Unified Network Control and Management System for an Integrated EPON and Metro Optical Network Testbed. TRIDENTCOM 2007: 1-6
Informal and Other Publications
- 2024
- [i32]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) - [i31]Hongye Zeng, Ke Zou, Zhihao Chen, Yuchong Gao, Hongbo Chen, Haibin Zhang, Kang Zhou, Meng Wang, Rick Siow Mong Goh, Yong Liu, Chang Jiang, Rui Zheng, Huazhu Fu:
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices. CoRR abs/2402.11211 (2024) - [i30]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) - [i29]Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei:
Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR abs/2403.07151 (2024) - [i28]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) - [i27]Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh:
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. CoRR abs/2404.18962 (2024) - [i26]Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu:
Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models. CoRR abs/2405.16516 (2024) - [i25]Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu:
Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution. CoRR abs/2406.01054 (2024) - [i24]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) - [i23]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) - [i22]Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li:
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development. CoRR abs/2408.10067 (2024) - 2023
- [i21]Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, Yong Liu, Huazhu Fu:
EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap. CoRR abs/2301.00349 (2023) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Chun-Mei Feng, Kai Yu, Yong Liu, Salman H. Khan, Wangmeng Zuo:
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. CoRR abs/2308.06038 (2023) - [i14]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) - [i13]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
- [i12]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) - [i11]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) - [i10]Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu:
FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views. CoRR abs/2212.02196 (2022) - 2021
- [i9]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) - [i8]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) - 2020
- [i7]Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh:
Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations. CoRR abs/2004.05554 (2020) - 2019
- [i6]Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh:
Multi-Instance Multi-Scale CNN for Medical Image Classification. CoRR abs/1907.02413 (2019) - [i5]Wei Jing, Di Deng, Zhe Xiao, Yong Liu, Kenji Shimada:
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection. CoRR abs/1908.02901 (2019) - [i4]Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing:
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization. CoRR abs/1912.05099 (2019) - [i3]Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing:
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning. CoRR abs/1912.05205 (2019) - 2016
- [i2]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) - [i1]Yong Kiam Tan, Xinxing Xu, Yong Liu:
Improved Recurrent Neural Networks for Session-based Recommendations. CoRR abs/1606.08117 (2016)
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-04 20:01 CEST by the dblp team
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