Yong Liu

According to our database, Yong Liu authored at least 78 papers between 2007 and 2024.

Collaborative distances:

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

2024

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.

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

IEEE Trans. Evol. Comput., June, 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

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

MStableChain: Towards Multi-Native Stablecoins in EVM-Compatible Blockchain for Stable Fee and Mass Adoption.

Mingzhe Li, Bo Gao, Kentaroh Toyoda, Yechao Yang, Juniarto Samsudin, Haibin Zhang, Qingsong Wei, Yong Liu, Rich Siow Mong Goh

CoRR, 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

From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning.

Yang Bai, Yang Zhou, Jun Zhou, Rick Siow Mong Goh, Daniel Shu Wei Ting, Yong Liu

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

Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution.

Tanvi Verma, Lukas Schwemer, Mingrui Tan, Fei Gao, Yong Liu, Huazhu Fu

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

Don't Forget What I did?: Assessing Client Contributions in Federated Learning.

Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jiang Jin Peng, Yong Liu, Rick Siow Mong Goh, Qingsong Wei

CoRR, 2024

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices.

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

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

Class Balance Matters to Active Class-Incremental Learning.

Zitong Huang, Ze Chen, Yuanze Li, Bowen Dong, Erjin Zhou, Yong Liu, Rick Siow Mong Goh, Chun-Mei Feng, Wangmeng Zuo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 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

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.

Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen

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

MedSynth: Leveraging Generative Model for Healthcare Data Sharing.

Renuga Kanagavelu, Madhav Walia, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

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

Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development.

Yuncheng Jiang, Yiwen Hu, Zixun Zhang, Jun Wei, Chun-Mei Feng, Xuemei Tang, Xiang Wan, Yong Liu, Shuguang Cui, Zhen Li

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

Memory-Efficient High-Resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models.

Kun Huang, Xiao Ma, Yuhan Zhang, Na Su, Songtao Yuan, Yong Liu, Qiang Chen, Huazhu Fu

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

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity.

Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh

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

Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.

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

IEEE Trans. Biomed. Eng., July, 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

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

EvidenceCap: Towards trustworthy medical image segmentation via evidential identity cap.

Ke Zou, Xuedong Yuan, Xiaojing Shen, Yidi Chen, Meng Wang, Rick Siow Mong Goh, 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

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.

Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu

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

Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning.

Chun-Mei Feng, Kai Yu, Yong Liu, 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

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.

Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen

Medical Image Anal., 2022

FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views.

Renuga Kanagavelu, Kinshuk Dua, Pratik Garai, Susan Elias, Neha Thomas, Simon Elias, Qingsong Wei, Rick Siow Mong Goh, Yong Liu

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

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

2020

Feature Lenses: Plug-and-play Neural Modules for Transformation-Invariant Visual Representations.

Shaohua Li, Xiuchao Sui, Jie Fu, Yong Liu, Rick Siow Mong Goh

CoRR, 2020

RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization.

Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

AnomalyNet: An Anomaly Detection Network for Video Surveillance.

Joey Tianyi Zhou, Jiawei Du, Hongyuan Zhu, Xi Peng, Yong Liu, Rick Siow Mong Goh

IEEE Trans. Inf. Forensics Secur., 2019

Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning.

Tianying Wang, Hao Zhang, Wei Qi Toh, Hongyuan Zhu, Cheston Tan, Yan Wu, Yong Liu, Wei Jing

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 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

Multi-Instance Multi-Scale CNN for Medical Image Classification.

Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection.

Wei Jing, Di Deng, Zhe Xiao, Yong Liu, Kenji Shimada

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

A Computational Framework for Automatic Online Path Generation of Robotic Inspection Tasks via Coverage Planning and Reinforcement Learning.

Wei Jing, Chun Fan Goh, Mabaran Rajaraman, Fei Gao, Sooho Park, Yong Liu, Kenji Shimada

IEEE Access, 2018

Cost-Efficient and Latency-Aware Workflow Scheduling Policy for Container-Based Systems.

Weiwen Zhang, Yong Liu, Long Wang, Zengxiang Li, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

EMRShare: A Cross-Organizational Medical Data Sharing and Management Framework Using Permissioned Blockchain.

Zhe Xiao, Zengxiang Li, Yong Liu, Ling Feng, Weiwen Zhang, Thanarit Lertwuthikarn, Rick Siow Mong Goh

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

A Learning-based Approach for Error Compensation of Industrial Manipulator with Hybrid Model.

Wei Jing, Joey Tianyi Zhou, Fei Gao, Yong Liu, Pey Yuen Tao, Guilin Yang

Proceedings of the 15th International Conference on Control, 2018

SC2Net: Sparse LSTMs for Sparse Coding.

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs.

Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

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

2015

Neural Modeling of Buying Behaviour for E-Commerce from Clicking Patterns.

Zhenzhou Wu, Bao Hong Tan, Rubing Duan, Yong Liu, Rick Siow Mong Goh

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2011

Local restoration with multiple spanning trees in metro ethernet networks.

Jian Qiu, Mohan Gurusamy, Kee Chaing Chua, Yong Liu

IEEE/ACM Trans. Netw., 2011

Fast spanning tree reconnection mechanism for resilient Metro Ethernet networks.

Jian Qiu, Yong Liu, Gurusamy Mohan, Kee Chaing Chua

Comput. Networks, 2011

2010

Achieving High Performance Burst Transmission for Bursty Traffic using Optical Burst Chain Switching in WDM Networks.

Yong Liu, Kee Chaing Chua, Gurusamy Mohan

IEEE Trans. Commun., 2010

2009

Multipath traffic engineering in WDM optical burst switching networks.

Yong Liu, Gurusamy Mohan, Kee Chaing Chua, Jia Lu

IEEE Trans. Commun., 2009

Fast Spanning Tree Reconnection for Resilient Metro Ethernet Networks.

Jian Qiu, Yong Liu, Gurusamy Mohan, Kee Chaing Chua

Proceedings of IEEE International Conference on Communications, 2009

Handling Double-Link Failures in Metro Ethernet Networks Using Fast Spanning Tree Reconnection.

Jian Qiu, Gurusamy Mohan, Kee Chaing Chua, Yong Liu

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2007

Max-min fairness in WDM optical burst switching networks.

Yong Liu, Kee Chaing Chua, Gurusamy Mohan

J. High Speed Networks, 2007

A Unified Network Control and Management System for an Integrated EPON and Metro Optical Network Testbed.

Yong Liu, Minh Hoang Phùng, Kee Chaing Chua, Gurusamy Mohan, Yanmei Guo, Sona Panneerselvan

Proceedings of the 3rd International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2007