Locally linear representation for subspace learning and clustering - Liangli Zhen; Zhang Yi 001; Xi Peng 001; Dezhong Peng (CoRR, 2013)

Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction. - Liangli Zhen; Xi Peng 001; Dezhong Peng (J. Softw., 2013)

Adjusting Parallel Coordinates for Investigating Multi-objective Search. - Liangli Zhen; Miqing Li; Ran Cheng; Dezhong Peng; Xin Yao 001 (SEAL, 2017)

Underdetermined Blind Separation by Combining Sparsity and Independence of Sources. - Peng Chen 007; Dezhong Peng; Liangli Zhen; Yifan Luo; Yong Xiang 001 (IEEE Access, 2017)

How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum]. - Miqing Li; Liangli Zhen; Xin Yao 001 (IEEE Comput. Intell. Mag., 2017)

How to Read Many-Objective Solution Sets in Parallel Coordinates. - Miqing Li; Liangli Zhen; Xin Yao 001 (CoRR, 2017)

Kernel Truncated Regression Representation for Robust Subspace Clustering. - Liangli Zhen; Dezhong Peng; Xin Yao 001 (CoRR, 2017)

Underdetermined Blind Source Separation Using Sparse Coding. - Liangli Zhen; Dezhong Peng; Zhang Yi 001; Yong Xiang 001; Peng Chen 007 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multiobjective Test Problems with Degenerate Pareto Fronts. - Liangli Zhen; Miqing Li; Ran Cheng; Dezhong Peng; Xin Yao 001 (CoRR, 2018)

Local feature based multi-view discriminant analysis. - Peng Hu 002; Dezhong Peng; Jixiang Guo; Liangli Zhen (Knowl. Based Syst., 2018)

Deep Supervised Cross-Modal Retrieval. - Liangli Zhen; Peng Hu 002; Xu Wang 028; Dezhong Peng (CVPR, 2019)

Separated Variational Hashing Networks for Cross-Modal Retrieval. - Peng Hu 002; Xu Wang 028; Liangli Zhen; Dezhong Peng (ACM Multimedia, 2019)

Scalable Deep Multimodal Learning for Cross-Modal Retrieval. - Peng Hu 002; Liangli Zhen; Dezhong Peng; Pei Liu (SIGIR, 2019)

Objective reduction for visualising many-objective solution sets. - Liangli Zhen; Miqing Li; Dezhong Peng; Xin Yao 001 (Inf. Sci., 2020)

Kernel truncated regression representation for robust subspace clustering. - Liangli Zhen; Dezhong Peng; Wei Wang 283; Xin Yao 001 (Inf. Sci., 2020)

Parallel Attention Network with Sequence Matching for Video Grounding. - Hao Zhang 048; Aixin Sun; Wei Jing; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (ACL/IJCNLP (Findings), 2021)

Partially Encrypted Multi-Party Computation for Federated Learning. - Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li; Chi Zhang 007 (CCGRID, 2021)

Learning Cross-Modal Retrieval With Noisy Labels. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Liangli Zhen; Jie Lin 001 (CVPR, 2021)

Video Corpus Moment Retrieval with Contrastive Learning. - Hao Zhang 048; Aixin Sun; Wei Jing; Guoshun Nan; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (SIGIR, 2021)

Evolutionary Multi-Objective Model Compression for Deep Neural Networks. - Zhehui Wang; Tao Luo 014; Miqing Li; Joey Tianyi Zhou; Rick Siow Mong Goh; Liangli Zhen (IEEE Comput. Intell. Mag., 2021)

DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval. - Xu Wang 028; Peng Hu 002; Liangli Zhen; Dezhong Peng (Inf. Sci., 2021)

Cross-modal discriminant adversarial network. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Liangli Zhen; Wei Wang 283; Dezhong Peng (Pattern Recognit., 2021)

Joint Versus Independent Multiview Hashing for Cross-View Retrieval. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Liangli Zhen; Dezhong Peng (IEEE Trans. Cybern., 2021)

Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks. - Chi Zhang 007; Liangli Zhen; Joey Zhou; Cen Chen 001 (IEEE Wirel. Commun., 2021)

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 (ICLR, 2022)

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Joey Tianyi Zhou; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (Medical Image Anal., 2022)

Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. - Hao Zhang 048; Aixin Sun; Wei Jing; Liangli Zhen; Joey Tianyi Zhou; Rick Siow Mong Goh (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Semisupervised Multiview Learning With Increasing Views. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Liangli Zhen; Jie Lin 001; Huaibai Yan; Dezhong Peng (IEEE Trans. Cybern., 2022)

Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images. - Yangqin Feng; Xinxing Xu; Yan Wang 015; Xiaofeng Lei; Soo Kng Teo; Jordan Zheng Ting Sim; Yonghan Ting; Liangli Zhen; Joey Tianyi Zhou; Yong Liu 026; Cher Heng Tan (IEEE J. Biomed. Health Informatics, 2022)

Deep Multimodal Transfer Learning for Cross-Modal Retrieval. - Liangli Zhen; Peng Hu 002; Xi Peng 001; Rick Siow Mong Goh; Joey Tianyi Zhou (IEEE Trans. Neural Networks Learn. Syst., 2022)

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. - Chi Zhang 007; Xiaoman Zhang; Ekanut Sotthiwat; Yanyu Xu; Ping Liu; Liangli Zhen; Yong Liu 026 (ICCV, 2023)

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis. - Yangqin Feng; Zizhou Wang; Xinxing Xu; Yan Wang 015; Huazhu Fu; Shaohua Li 003; Liangli Zhen; Xiaofeng Lei; Yingnan Cui; Jordan Zheng Ting Sim; Yonghan Ting; Joey Tianyi Zhou; et al. (Medical Image Anal., 2023)

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 026; Liangli Zhen (MICCAI (3), 2024)

Ensemble Deep Learning for Blood Pressure Estimation Using Facial Videos. - Wei Liu 010; Bingjie Wu; Menghan Zhou; Xingjian Zheng; Xingyao Wang 001; Yiping Xie; Chaoqi Luo; Liangli Zhen (RePSS@IJCAI, 2024)

An End-to-end Contrastive Deep-learning Framework for Remote Physiological Signal Measurement. - Bingjie Wu; Menghan Zhou; Wei Liu 010; Xingyao Wang 001; Xingjian Zheng; Yiping Xie; Chaoqi Luo; Liangli Zhen (RePSS@IJCAI, 2024)

A Survey and Evaluation of Adversarial Attacks for Object Detection. - Khoi Nguyen Tiet Nguyen; Wenyu Zhang; Kangkang Lu 001; Yuhuan Wu; Xingjian Zheng; Hui Li Tan; Liangli Zhen (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Deep Supervised Multi-View Learning With Graph Priors. - Peng Hu 002; Liangli Zhen; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Xu Wang 028; Dezhong Peng (IEEE Trans. Image Process., 2024)

Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis. - Yan Wang 015; 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; et al. (IEEE Trans. Medical Imaging, 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing. - Yu Xue 003; Weinan Tong; Ferrante Neri; Peng Chen 035; Tao Luo 014; Liangli Zhen; Xiao Wang 004 (IEEE Trans. Evol. Comput., 2024)

Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning. - Chi Zhang 007; Ekanut Sotthiwat; Liangli Zhen; Zengxiang Li (IEEE Trans. Big Data, 2024)

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval. - Yuan Li; Liangli Zhen; Yuan Sun 016; Dezhong Peng; Xi Peng 001; Peng Hu 002 (AAAI, 2025)

Generative Image Reconstruction From Gradients. - Ekanut Sotthiwat; Liangli Zhen; Chi Zhang 007; Zengxiang Li; Rick Siow Mong Goh (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering. - Zehui Liao; Shishuai Hu; Ke Zou; Huazhu Fu; Liangli Zhen; Yong Xia 001 (CoRR, 2025)

Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection. - Jingyu Xing; Chenwei Tang; Tao Wang 053; Rong Xiao 001; Wei Ju 001; Ji-Zhe Zhou; Liangli Zhen; Jiancheng Lv 001 (CoRR, 2025)

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models. - Lei Jiang; Zixun Zhang; Zizhou Wang; Xiaobing Sun 001; Zhen Li; Liangli Zhen; Xiaohua Xu (CoRR, 2025)

Cycle Context Verification for In-Context Medical Image Segmentation. - Shishuai Hu; Zehui Liao; Liangli Zhen; Huazhu Fu; Yong Xia 001 (CoRR, 2025)

Continuous Disentangled Joint Space Learning for Domain Generalization. - Zizhou Wang; Yan Wang 015; Yangqin Feng; Jiawei Du; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (IEEE Trans. Neural Networks Learn. Syst., 2025)

GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm. - Yu-Huan Wu; Wei Liu 010; Zi-Xuan Zhu; Zizhou Wang; Yong Liu 026; Liangli Zhen (CoRR, 2025)

Low-Resolution Self-Attention for Semantic Segmentation. - Yu-Huan Wu; Shi-Chen Zhang; Yun Liu 011; Le Zhang 001; Xin Zhan; Daquan Zhou; Jiashi Feng; Ming-Ming Cheng; Liangli Zhen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)