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2020 – today
- 2024
[j22]Chi Zhang
, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li:
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. IEEE Trans. Big Data 10(6): 742-751 (2024)- [j21]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): 653-667 (2024) - [j20]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) - [j19]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) - [c13]Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. MICCAI (3) 2024: 262-272 - [c12]Wei Liu, Bingjie Wu, Menghan Zhou, Xingjian Zheng, Xingyao Wang, Yiping Xie, Chaoqi Luo, Liangli Zhen:
Ensemble Deep Learning for Blood Pressure Estimation Using Facial Videos. RePSS@IJCAI 2024: 61-71 - [c11]Bingjie Wu, Menghan Zhou, Wei Liu, Xingyao Wang, Xingjian Zheng, Yiping Xie, Chaoqi Luo, Liangli Zhen:
An End-to-end Contrastive Deep-learning Framework for Remote Physiological Signal Measurement. RePSS@IJCAI 2024: 72-81 - [i10]Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen:
A Survey and Evaluation of Adversarial Attacks for Object Detection. CoRR abs/2408.01934 (2024) - 2023
- [j18]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) - [c10]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 - [i9]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 abs/2310.05026 (2023) - 2022
- [j17]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) - [j16]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): 4252-4266 (2022) - [j15]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): 12954-12965 (2022) - [j14]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) - [j13]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): 798-810 (2022) - [c9]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 - 2021
- [j12]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): 10-21 (2021) - [j11]Xu Wang, Peng Hu, Liangli Zhen, Dezhong Peng:
DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval. Inf. Sci. 546: 298-311 (2021) - [j10]Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng:
Cross-modal discriminant adversarial network. Pattern Recognit. 112: 107734 (2021) - [j9]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): 4982-4993 (2021) - [j8]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): 13-18 (2021) - [c8]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: 776-790 - [c7]Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang:
Partially Encrypted Multi-Party Computation for Federated Learning. CCGRID 2021: 828-835 - [c6]Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin:
Learning Cross-Modal Retrieval With Noisy Labels. CVPR 2021: 5403-5413 - [c5]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: 685-695 - [i8]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 abs/2102.13558 (2021) - [i7]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 abs/2105.06247 (2021) - [i6]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 abs/2105.08481 (2021) - [i5]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 abs/2110.03141 (2021) - 2020
- [j7]Liangli Zhen, Miqing Li, Dezhong Peng, Xin Yao:
Objective reduction for visualising many-objective solution sets. Inf. Sci. 512: 278-294 (2020) - [j6]Liangli Zhen, Dezhong Peng, Wei Wang, Xin Yao:
Kernel truncated regression representation for robust subspace clustering. Inf. Sci. 524: 59-76 (2020)
2010 – 2019
- 2019
- [c4]Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng:
Deep Supervised Cross-Modal Retrieval. CVPR 2019: 10394-10403 - [c3]Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng:
Separated Variational Hashing Networks for Cross-Modal Retrieval. ACM Multimedia 2019: 1721-1729 - [c2]Peng Hu, Liangli Zhen, Dezhong Peng, Pei Liu:
Scalable Deep Multimodal Learning for Cross-Modal Retrieval. SIGIR 2019: 635-644 - 2018
- [j5]Peng Hu, Dezhong Peng, Jixiang Guo, Liangli Zhen:
Local feature based multi-view discriminant analysis. Knowl. Based Syst. 149: 34-46 (2018) - [i4]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Multiobjective Test Problems with Degenerate Pareto Fronts. CoRR abs/1806.02706 (2018) - 2017
- [j4]Peng Chen, Dezhong Peng, Liangli Zhen, Yifan Luo, Yong Xiang:
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. IEEE Access 5: 21731-21742 (2017) - [j3]Miqing Li, Liangli Zhen, Xin Yao:
How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum]. IEEE Comput. Intell. Mag. 12(4): 88-100 (2017) - [j2]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): 3102-3108 (2017) - [c1]Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao:
Adjusting Parallel Coordinates for Investigating Multi-objective Search. SEAL 2017: 224-235 - [i3]Miqing Li, Liangli Zhen, Xin Yao:
How to Read Many-Objective Solution Sets in Parallel Coordinates. CoRR abs/1705.00368 (2017) - [i2]Liangli Zhen, Dezhong Peng, Xin Yao:
Kernel Truncated Regression Representation for Robust Subspace Clustering. CoRR abs/1705.05108 (2017) - 2013
- [j1]Liangli Zhen, Xi Peng, Dezhong Peng:
Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction. J. Softw. 8(2): 410-417 (2013) - [i1]Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng:
Locally linear representation for subspace learning and clustering. CoRR abs/1304.6487 (2013)
Coauthor Index
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last updated on 2024-12-02 21:27 CET by the dblp team
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