publications

The asterisk symbol (*) denotes the corresponding author. Google Scholar Profile

2024

  1. An end-to-end contrastive deep-learning framework for remote physiological signal measurement
    Bingjie Wu, Menghan Zhou, Wei Liu, Xingyao Wang, Xingjian Zheng, Yiping Xie, Chaoqi Luo, and Liangli Zhen*
    1st Place in Track 1 of RePSS Challenge at IJCAI-2024
    The 3rd RePSS Challenge and Workshop, 2024
  2. Ensemble deep learning for blood pressure estimation using facial videos
    Wei Liu, Bingjie Wu, Menghan Zhou, Xingyao Wang, Xingjian Zheng, Yiping Xie, Chaoqi Luo, and Liangli Zhen*
    1st Place in Track 2 of RePSS Challenge at IJCAI-2024
    The 3rd RePSS Challenge and Workshop, 2024
  3. MedNAS: Multi-scale 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, and Yong Liu
    IEEE Transactions on Evolutionary Computation, 2024
  4. 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 SW Tan, Jennifer K Sun, Yong Liu, and Daniel SW Ting
    IEEE Transactions on Medical Imaging, 2024
  5. Generative image reconstruction from gradients
    Ekanut Sotthiwat, Liangli Zhen*, Chi Zhang, Zengxiang Li, and Rick Goh
    IEEE Transactions on Neural Networks and Learning Systems, 2024
  6. Deep supervised multi-view learning with graph priors
    Peng Hu, Liangli Zhen*, Xi Peng, Hongyuan Zhu, Jie Lin, Xu Wang, and Dezhong Peng
    IEEE Transactions on Image Processing, 2024
  7. Neural architecture search with progressive evaluation and sub-population preservation
    Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, and Mohamed Wahib
    IEEE Transactions on Evolutionary Computation, 2024
  8. Evolutionary architecture search for generative adversarial networks based on weight sharing
    Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, and Xiao Wang
    IEEE Transactions on Evolutionary Computation, 2024

2023

  1. Generative gradient inversion via over-parameterized convolutional networks in federated learning
    Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen*, and Yong Liu
    ICCV, 2023
  2. Deep neural network augments performance of junior residents in diagnosing COVID-19 pneumonia on chest radiographs
    Yangqin Feng, Jordan Sim Zheng Ting, Xinxing Xu, and  others
    Diagnostics, 2023
  3. 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 Sim Zheng Ting, and  others
    Medical Image Analysis, 2023

2022

  1. 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, and Liangli Zhen*
    Medical Image Analysis, 2022
  2. Deep multimodal transfer learning for cross-modal retrieval
    Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, and Joey Tianyi Zhou
    IEEE Transactions on Neural Networks and Learning Systems, 2022
  3. Augmented multi-party computation against gradient leakage in federated learning
    Chi Zhang, Ekanut Sotthiwat, Liangli Zhen*, and Zengxiang Li
    IEEE Transactions on Big Data, 2022
  4. Efficient sharpness-aware minimization for improved training of neural networks
    Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, and Vincent YF Tan
    ICLR, 2022
  5. Deep supervised domain adaptation for pneumonia diagnosis from chest X-ray images
    Yangqin Feng, Xinxing Xu, Yan Wang, Xiaofeng Lei, Soo Kng Teo, Jordan Sim Zheng Ting, Yonghan Ting, Liangli Zhen, Joey Tianyi Zhou, Yong Liu, and  others
    IEEE Journal of Biomedical and Health Informatics, 2022
  6. Deep semi-supervised multi-view learning with increasing views
    Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, and Dezhong Peng
    IEEE Transactions on Cybernetics, 2022
  7. Natural language video localization: A revisit in span-based question answering framework
    Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, and Rick Siow Mong Goh
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

2021

  1. Evolutionary multi-objective model compression for deep neural networks
    Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, and Liangli Zhen*
    IEEE Computational Intelligence Magazine, 2021
  2. Learning cross-modal retrieval with noisy labels
    Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, and Jie Lin
    CVPR, 2021
  3. Video corpus moment retrieval with contrastive learning
    Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, and Rick Siow Mong Goh
    SIGIR, 2021
  4. Cross-modal discriminant adversarial network
    Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, and Dezhong Peng
    Pattern Recognition, 2021
  5. Automated building extraction using satellite remote sensing imagery
    Qintao Hu, Liangli Zhen, Yao Mao, Xi Zhou, and Guozhong Zhou
    Automation in Construction, 2021
  6. DRSL: Deep relational similarity learning for cross-modal retrieval
    Xu Wang, Peng Hu, Liangli Zhen, and Dezhong Peng
    Information Sciences, 2021
  7. Joint versus independent multi-view hashing for cross-view retrieval
    Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, and Dezhong Peng
    IEEE Transactions on Cybernetics, 2021
  8. Partially encrypted multi-party computation for federated learning
    Ekanut Sotthiwat, Liangli Zhen*, Zengxiang Li, and Chi Zhang*
    CCGrid, 2021
  9. Parallel attention network with sequence matching for video grounding
    Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, and Rick Siow Mong Goh
    Findings of ACL, 2021
  10. Automated deepfake detection
    Ping Liu, Yuewei Lin, Yang He, Yunchao Wei, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh, and Jingen Liu
    arXiv preprint arXiv:2106.10705, 2021
  11. Distributed monitoring for energy infrastructures: A two-tier analysis over wireless networks
    Chi Zhang, Liangli Zhen, Joey Tianyi Zhou, and Cen Chen
    IEEE Wireless Communication, 2021

2020

  1. Kernel truncated regression representation for robust subspace clustering
    Liangli Zhen, Dezhong Peng, Wei Wang, and Xin Yao
    Information Sciences, 2020
  2. Objective reduction for visualising many-objective solution sets
    Liangli Zhen, Miqing Li, Dezhong Peng, and Xin Yao
    Information Sciences, 2020
  3. Underdetermined mixing matrix estimation by exploiting sparsity of sources
    Liangli Zhen, Dezhong Peng, Haixian Zhang, Yongsheng Sang, and Lijun Zhang
    Measurement, 2020
  4. An adaptive stochastic parallel gradient descent approach for efficient fiber coupling
    Qintao Hu, Liangli Zhen, Yao Mao, Shiwei Zhu, Xi Zhou, and Guozhong Zhou
    Optics Express, 2020

2019

  1. Deep supervised cross-modal retrieval
    Liangli Zhen, Peng Hu, Xu Wang, and Dezhong Peng
    CVPR, 2019
  2. Scalable deep multimodal learning for cross-modal retrieval
    Peng Hu, Liangli Zhen, Dezhong Peng, and Pei Liu
    SIGIR, 2019
  3. Separated variational hashing networks for cross-modal retrieval
    Peng Hu, Xu Wang, Liangli Zhen, and Dezhong Peng
    ACM-MM, 2019

2018

  1. Local feature based multi-view discriminant analysis
    Peng Hu, Dezhong Peng, Jixiang Guo, and Liangli Zhen
    Knowledge-Based Systems, 2018
  2. Multiobjective test problems with degenerate Pareto fronts
    Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, and Xin Yao
    arXiv preprint arXiv:1806.02706, 2018

2017

  1. Underdetermined blind source separation using sparse coding
    Liangli Zhen, Dezhong Peng, Zhang Yi, Yong Xiang, and Peng Chen
    IEEE Transactions on Neural Networks and Learning Systems, 2017
  2. How to read many-objective solution sets in parallel coordinates
    Miqing Li, Liangli Zhen, and Xin Yao
    IEEE Computational Intelligence Magazine, 2017
  3. Adjusting parallel coordinates for investigating multi-objective search
    Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, and Xin Yao
    SEAL, 2017
  4. Underdetermined blind separation by combining sparsity and independence of sources
    Peng Chen, Dezhong Peng, Liangli Zhen, Yifan Luo, and Yong Xiang
    IEEE Access, 2017

2014

  1. Locally linear representation for image clustering
    Liangli Zhen, Zhang Yi, Xi Peng, and Dezhong Peng
    Electronics Letters, 2014

2013

  1. Local neighborhood embedding for unsupervised nonlinear dimension reduction
    Liangli Zhen, Xi Peng, and Dezhong Peng
    Journal of Software, 2013



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