Liangli Zhen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 38

Top Topics

Parallel Coordinates

Subspace Clustering

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
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) (2024)
Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. IEEE Trans. Evol. Comput. 28 (3) (2024)
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 (2023)
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
Low-Resolution Self-Attention for Semantic Segmentation. CoRR (2023)
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)
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) (2022)
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng
Deep Semisupervised Multiview Learning With Increasing Views. IEEE Trans. Cybern. 52 (12) (2022)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
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 (2022)
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. ICLR (2022)
Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou
Deep Multimodal Transfer Learning for Cross-Modal Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33 (2) (2022)
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Video Corpus Moment Retrieval with Contrastive Learning. CoRR (2021)
Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang
Partially Encrypted Multi-Party Computation for Federated Learning. CCGRID (2021)
Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen
Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks. IEEE Wirel. Commun. 28 (6) (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng
Cross-modal discriminant adversarial network. Pattern Recognit. 112 (2021)
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
Evolutionary Multi-Objective Model Compression for Deep Neural Networks. IEEE Comput. Intell. Mag. 16 (3) (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin
Learning Cross-Modal Retrieval With Noisy Labels. CVPR (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. CoRR (2021)
Xu Wang, Peng Hu, Liangli Zhen, Dezhong Peng
DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval. Inf. Sci. 546 (2021)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Parallel Attention Network with Sequence Matching for Video Grounding. CoRR (2021)
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
Video Corpus Moment Retrieval with Contrastive Learning. SIGIR (2021)
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR (2021)
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng
Joint Versus Independent Multiview Hashing for Cross-View Retrieval. IEEE Trans. Cybern. 51 (10) (2021)
Liangli Zhen, Miqing Li, Dezhong Peng, Xin Yao
Objective reduction for visualising many-objective solution sets. Inf. Sci. 512 (2020)
Liangli Zhen, Dezhong Peng, Wei Wang, Xin Yao
Kernel truncated regression representation for robust subspace clustering. Inf. Sci. 524 (2020)
Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
Separated Variational Hashing Networks for Cross-Modal Retrieval. ACM Multimedia (2019)
Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng
Deep Supervised Cross-Modal Retrieval. CVPR (2019)
Peng Hu, Liangli Zhen, Dezhong Peng, Pei Liu
Scalable Deep Multimodal Learning for Cross-Modal Retrieval. SIGIR (2019)
Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
Multiobjective Test Problems with Degenerate Pareto Fronts. CoRR (2018)
Peng Hu, Dezhong Peng, Jixiang Guo, Liangli Zhen
Local feature based multi-view discriminant analysis. Knowl. Based Syst. 149 (2018)
Miqing Li, Liangli Zhen, Xin Yao
How to Read Many-Objective Solution Sets in Parallel Coordinates. CoRR (2017)
Liangli Zhen, Dezhong Peng, Xin Yao
Kernel Truncated Regression Representation for Robust Subspace Clustering. CoRR (2017)
Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL (2017)
Peng Chen, Dezhong Peng, Liangli Zhen, Yifan Luo, Yong Xiang
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. IEEE Access 5 (2017)
Miqing Li, Liangli Zhen, Xin Yao
How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum]. IEEE Comput. Intell. Mag. 12 (4) (2017)
Liangli Zhen, Dezhong Peng, Zhang Yi, Yong Xiang, Peng Chen
Underdetermined Blind Source Separation Using Sparse Coding. IEEE Trans. Neural Networks Learn. Syst. 28 (12) (2017)
Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng
Locally linear representation for subspace learning and clustering CoRR (2013)
Liangli Zhen, Xi Peng, Dezhong Peng
Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction. J. Softw. 8 (2) (2013)