Liangli Zhen

According to our database, Liangli Zhen authored at least 43 papers between 2013 and 2025.

Collaborative distances:

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

2025

Generative Image Reconstruction From Gradients.

Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh

IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024

Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning.

Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li

IEEE Trans. Big Data, December, 2024

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.

Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang

IEEE Trans. Evol. Comput., June, 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

Global Challenge for Safe and Secure LLMs Track 1.

Xiaojun Jia, Yihao Huang, Yang Liu, Peng Yan Tan, Weng Kuan Yau, Mun-Thye Mak, Xin Ming Sim, Wee Siong Ng, See Kiong Ng, Hanqing Liu, Lifeng Zhou, Huanqian Yan, Xiaobing Sun, Wei Liu, Long Wang, Yiming Qian, Yong Liu, Junxiao Yang, Zhexin Zhang, Leqi Lei, Renmiao Chen, Yida Lu, Shiyao Cui, Zizhou Wang, Shaohua Li, Yan Wang, Rick Siow Mong Goh, Liangli Zhen, Yingjie Zhang, Zhe Zhao

CoRR, 2024

A Survey and Evaluation of Adversarial Attacks for Object Detection.

Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen

CoRR, 2024

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, Liangli Zhen

Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024

Ensemble Deep Learning for Blood Pressure Estimation Using Facial Videos.

Wei Liu, Bingjie Wu, Menghan Zhou, Xingjian Zheng, Xingyao Wang, Yiping Xie, Chaoqi Luo, Liangli Zhen

Proceedings of the 3rd Vision-based Remote Physiological Signal Sensing Challenge & Workshop (RePSS 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 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

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

Low-Resolution Self-Attention for Semantic Segmentation.

Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen

CoRR, 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

2022

Deep Multimodal Transfer Learning for Cross-Modal Retrieval.

Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou

IEEE Trans. Neural Networks Learn. Syst., 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

Deep Semisupervised Multiview Learning With Increasing Views.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng

IEEE Trans. Cybern., 2022

Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework.

Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

IEEE Trans. Pattern Anal. Mach. Intell., 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

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, Vincent Y. F. Tan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks.

Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen

IEEE Wirel. Commun., 2021

Joint Versus Independent Multiview Hashing for Cross-View Retrieval.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng

IEEE Trans. Cybern., 2021

Cross-modal discriminant adversarial network.

Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng

Pattern Recognit., 2021

DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval.

Xu Wang, Peng Hu, Liangli Zhen, Dezhong Peng

Inf. Sci., 2021

Evolutionary Multi-Objective Model Compression for Deep Neural Networks.

Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen

IEEE Comput. Intell. Mag., 2021

Video Corpus Moment Retrieval with Contrastive Learning.

Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Learning Cross-Modal Retrieval With Noisy Labels.

Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Partially Encrypted Multi-Party Computation for Federated Learning.

Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

Parallel Attention Network with Sequence Matching for Video Grounding.

Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Kernel truncated regression representation for robust subspace clustering.

Liangli Zhen, Dezhong Peng, Wei Wang, Xin Yao

Inf. Sci., 2020

Objective reduction for visualising many-objective solution sets.

Liangli Zhen, Miqing Li, Dezhong Peng, Xin Yao

Inf. Sci., 2020

2019

Scalable Deep Multimodal Learning for Cross-Modal Retrieval.

Peng Hu, Liangli Zhen, Dezhong Peng, Pei Liu

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Separated Variational Hashing Networks for Cross-Modal Retrieval.

Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Supervised Cross-Modal Retrieval.

Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Local feature based multi-view discriminant analysis.

Peng Hu, Dezhong Peng, Jixiang Guo, Liangli Zhen

Knowl. Based Syst., 2018

Multiobjective Test Problems with Degenerate Pareto Fronts.

Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao

CoRR, 2018

2017

Underdetermined Blind Source Separation Using Sparse Coding.

Liangli Zhen, Dezhong Peng, Zhang Yi, Yong Xiang, Peng Chen

IEEE Trans. Neural Networks Learn. Syst., 2017

Kernel Truncated Regression Representation for Robust Subspace Clustering.

Liangli Zhen, Dezhong Peng, Xin Yao

CoRR, 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates.

Miqing Li, Liangli Zhen, Xin Yao

CoRR, 2017

How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum].

Miqing Li, Liangli Zhen, Xin Yao

IEEE Comput. Intell. Mag., 2017

Underdetermined Blind Separation by Combining Sparsity and Independence of Sources.

Peng Chen, Dezhong Peng, Liangli Zhen, Yifan Luo, Yong Xiang

IEEE Access, 2017

Adjusting Parallel Coordinates for Investigating Multi-objective Search.

Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

2013

Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction.

Liangli Zhen, Xi Peng, Dezhong Peng

J. Softw., 2013

Locally linear representation for subspace learning and clustering

Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng

CoRR, 2013