Liangli Zhen

68 papers A* 8B 1Journal 50Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Safeguarding Federated Learning From Data Reconstruction Attacks via Gradient Dropout.
IEEE Trans. Inf. Forensics Secur.
Ekanut Sotthiwat, Chi Zhang, Xiaokui Xiao, Liangli Zhen
2026 J jnl
Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes.
IEEE Trans. Neural Networks Learn. Syst.
Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Joey Tianyi Zhou, Rick Siow Mong Goh, Yong Liu, Liangli Zhen
2026 J jnl
Structured Semantic Cloaking for Jailbreak Attacks on Large Language Models.
CoRR
Xiaobing Sun, Perry Lam, Shaohua Li, Zizhou Wang, Rick Siow Mong Goh, Yong Liu, Liangli Zhen
2026 J jnl
UniQ-ViT: Optimization-driven uniform quantization for vision transformer acceleration.
Neurocomputing
Zhendong Yu, Wenqiang Zhou, Chenwei Tang, Miqing Li, Liangli Zhen, Jiancheng Lv
2025 J jnl
A Survey and Evaluation of Adversarial Attacks in Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2025 J jnl
Continuous Disentangled Joint Space Learning for Domain Generalization.
IEEE Trans. Neural Networks Learn. Syst.
Zizhou Wang, Yan Wang, Yangqin Feng, Jiawei Du, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
2025 J jnl
Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models.
CoRR
Lei Jiang, Zixun Zhang, Zizhou Wang, Xiaobing Sun, Zhen Li, Liangli Zhen, Xiaohua Xu
2025 — conf
Cycle Context Verification for In-Context Medical Image Segmentation.
MICCAI (1)
Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia
2025 J jnl
Cycle Context Verification for In-Context Medical Image Segmentation.
CoRR
Shishuai Hu, Zehui Liao, Liangli Zhen, Huazhu Fu, Yong Xia
2025 A* conf
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval.
AAAI
Yuan Li, Liangli Zhen, Yuan Sun, Dezhong Peng, Xi Peng, Peng Hu
2025 J jnl
Experience-Driven Exploration for Efficient API-Free AI Agents.
CoRR
Chenwei Tang, Jingyu Xing, Xinyu Liu, Zizhou Wang, Jiawei Du, Liangli Zhen, Jiancheng Lv
2025 J jnl
GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm.
CoRR
Yu-Huan Wu, Wei Liu, Zi-Xuan Zhu, Zizhou Wang, Yong Liu, Liangli Zhen
2025 J jnl
Generative Image Reconstruction From Gradients.
IEEE Trans. Neural Networks Learn. Syst.
Ekanut Sotthiwat, Liangli Zhen, Chi Zhang, Zengxiang Li, Rick Siow Mong Goh
2025 J jnl
Low-Resolution Self-Attention for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2025 J jnl
Memory-Augmented Dual-Decoder Networks for Multi-Class Unsupervised Anomaly Detection.
CoRR
Jingyu Xing, Chenwei Tang, Tao Wang, Rong Xiao, Wei Ju, Ji-Zhe Zhou, Liangli Zhen, Jiancheng Lv
2025 J jnl
Neural Architecture Search with Progressive Evaluation and Subpopulation Preservation.
IEEE Trans. Evol. Comput.
Yu Xue, Jiajie Zha, Danilo Pelusi, Peng Chen, Tao Luo, Liangli Zhen, Yan Wang, Mohamed Wahib
2025 J jnl
RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection.
CoRR
Yu-Huan Wu, Zi-Xuan Zhu, Yan Wang, Liangli Zhen, Deng-Ping Fan
2025 — conf
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering.
MICCAI (5)
Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia
2025 J jnl
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering.
CoRR
Zehui Liao, Shishuai Hu, Ke Zou, Huazhu Fu, Liangli Zhen, Yong Xia
2024 J jnl
A Survey and Evaluation of Adversarial Attacks for Object Detection.
CoRR
Khoi Nguyen Tiet Nguyen, Wenyu Zhang, Kangkang Lu, Yuhuan Wu, Xingjian Zheng, Hui Li Tan, Liangli Zhen
2024 — conf
An End-to-end Contrastive Deep-learning Framework for Remote Physiological Signal Measurement.
RePSS@IJCAI
Bingjie Wu, Menghan Zhou, Wei Liu, Xingyao Wang, Xingjian Zheng, Yiping Xie, Chaoqi Luo, Liangli Zhen
2024 J jnl
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning.
IEEE Trans. Big Data
Chi Zhang, Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li
2024 — conf
Category-Aware Test-Time Training Domain Adaptation.
CAI
Yangqin Feng, Xinxing Xu, Huazhu Fu, Yan Wang, Zizhou Wang, Liangli Zhen, Rick Siow Mong Goh, Yong Liu
2024 — conf
Cost-Sensitive Distribution Alignment for Improving Automated Medical Diagnosis Using Retinal Fundus Photography.
CAI
Yangqin Feng, Xinxing Xu, Zizhou Wang, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Tien-En Tan, Mukharram M. Bikbov, Jost B. Jonas, Chee Wai Wong, Ching-Yu Cheng, Daniel Shu Wei Ting, Rick Siow Mong Goh, Yong Liu
2024 J jnl
Deep Supervised Multi-View Learning With Graph Priors.
IEEE Trans. Image Process.
Peng Hu, Liangli Zhen, Xi Peng, Hongyuan Zhu, Jie Lin, Xu Wang, Dezhong Peng
2024 — conf
Ensemble Deep Learning for Blood Pressure Estimation Using Facial Videos.
RePSS@IJCAI
Wei Liu, Bingjie Wu, Menghan Zhou, Xingjian Zheng, Xingyao Wang, Yiping Xie, Chaoqi Luo, Liangli Zhen
2024 J jnl
Evolutionary Architecture Search for Generative Adversarial Networks Based on Weight Sharing.
IEEE Trans. Evol. Comput.
Yu Xue, Weinan Tong, Ferrante Neri, Peng Chen, Tao Luo, Liangli Zhen, Xiao Wang
2024 J jnl
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis.
IEEE Trans. Medical Imaging
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
2024 J jnl
Global Challenge for Safe and Secure LLMs Track 1.
CoRR
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
2024 — conf
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification.
MICCAI (3)
Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen
2024 J jnl
MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis.
IEEE Trans. Evol. Comput.
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
2023 J jnl
Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.
Medical Image Anal.
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
2023 A* conf
Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning.
ICCV
Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu
2023 J jnl
Low-Resolution Self-Attention for Semantic Segmentation.
CoRR
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
2022 J jnl
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.
Medical Image Anal.
Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen
2022 J jnl
Deep Multimodal Transfer Learning for Cross-Modal Retrieval.
IEEE Trans. Neural Networks Learn. Syst.
Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou
2022 J jnl
Deep Semisupervised Multiview Learning With Increasing Views.
IEEE Trans. Cybern.
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng
2022 J jnl
Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics
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
2022 A* conf
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.
ICLR
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2022 J jnl
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021 J jnl
Cross-modal discriminant adversarial network.
Pattern Recognit.
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng
2021 J jnl
DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval.
Inf. Sci.
Xu Wang, Peng Hu, Liangli Zhen, Dezhong Peng
2021 J jnl
Distributed Monitoring for Energy Infrastructures: A Two-Tier Analysis over Wireless Networks.
IEEE Wirel. Commun.
Chi Zhang, Liangli Zhen, Joey Zhou, Cen Chen
2021 J jnl
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks.
CoRR
Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan
2021 J jnl
Evolutionary Multi-Objective Model Compression for Deep Neural Networks.
IEEE Comput. Intell. Mag.
Zhehui Wang, Tao Luo, Miqing Li, Joey Tianyi Zhou, Rick Siow Mong Goh, Liangli Zhen
2021 J jnl
Joint Versus Independent Multiview Hashing for Cross-View Retrieval.
IEEE Trans. Cybern.
Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng
2021 A* conf
Learning Cross-Modal Retrieval With Noisy Labels.
CVPR
Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin
2021 J jnl
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework.
CoRR
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021 — conf
Parallel Attention Network with Sequence Matching for Video Grounding.
ACL/IJCNLP (Findings)
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021 J jnl
Parallel Attention Network with Sequence Matching for Video Grounding.
CoRR
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021 B conf
Partially Encrypted Multi-Party Computation for Federated Learning.
CCGRID
Ekanut Sotthiwat, Liangli Zhen, Zengxiang Li, Chi Zhang
2021 A* conf
Video Corpus Moment Retrieval with Contrastive Learning.
SIGIR
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2021 J jnl
Video Corpus Moment Retrieval with Contrastive Learning.
CoRR
Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh
2020 J jnl
Kernel truncated regression representation for robust subspace clustering.
Inf. Sci.
Liangli Zhen, Dezhong Peng, Wei Wang, Xin Yao
2020 J jnl
Objective reduction for visualising many-objective solution sets.
Inf. Sci.
Liangli Zhen, Miqing Li, Dezhong Peng, Xin Yao
2019 A* conf
Deep Supervised Cross-Modal Retrieval.
CVPR
Liangli Zhen, Peng Hu, Xu Wang, Dezhong Peng
2019 A* conf
Scalable Deep Multimodal Learning for Cross-Modal Retrieval.
SIGIR
Peng Hu, Liangli Zhen, Dezhong Peng, Pei Liu
2019 A* conf
Separated Variational Hashing Networks for Cross-Modal Retrieval.
ACM Multimedia
Peng Hu, Xu Wang, Liangli Zhen, Dezhong Peng
2018 J jnl
Local feature based multi-view discriminant analysis.
Knowl. Based Syst.
Peng Hu, Dezhong Peng, Jixiang Guo, Liangli Zhen
2018 J jnl
Multiobjective Test Problems with Degenerate Pareto Fronts.
CoRR
Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
2017 — conf
Adjusting Parallel Coordinates for Investigating Multi-objective Search.
SEAL
Liangli Zhen, Miqing Li, Ran Cheng, Dezhong Peng, Xin Yao
2017 J jnl
How to Read Many-Objective Solution Sets in Parallel Coordinates [Educational Forum].
IEEE Comput. Intell. Mag.
Miqing Li, Liangli Zhen, Xin Yao
2017 J jnl
How to Read Many-Objective Solution Sets in Parallel Coordinates.
CoRR
Miqing Li, Liangli Zhen, Xin Yao
2017 J jnl
Kernel Truncated Regression Representation for Robust Subspace Clustering.
CoRR
Liangli Zhen, Dezhong Peng, Xin Yao
2017 J jnl
Underdetermined Blind Separation by Combining Sparsity and Independence of Sources.
IEEE Access
Peng Chen, Dezhong Peng, Liangli Zhen, Yifan Luo, Yong Xiang
2017 J jnl
Underdetermined Blind Source Separation Using Sparse Coding.
IEEE Trans. Neural Networks Learn. Syst.
Liangli Zhen, Dezhong Peng, Zhang Yi, Yong Xiang, Peng Chen
2013 J jnl
Local Neighborhood Embedding for Unsupervised Nonlinear Dimension Reduction.
J. Softw.
Liangli Zhen, Xi Peng, Dezhong Peng
2013 J jnl
Locally linear representation for subspace learning and clustering
CoRR
Liangli Zhen, Zhang Yi, Xi Peng, Dezhong Peng