Video segmentation: Propagation, validation and aggregation of a preceding graph. - Siying Liu; Guo Dong; Chye Hwang Yan; Sim Heng Ong (CVPR, 2008)

Shape from Second-Bounce of Light Transport. - Siying Liu; Tian-Tsong Ng; Yasuyuki Matsushita (ECCV (2), 2010)

A location based reminder system for advertisement. - Yiqun Li; Aiyuan Guo; Siying Liu; Yan Gao; Yan-Tao Zheng (ACM Multimedia, 2010)

Extended Visual Memory for Computer-Aided Vision. - Joo-Hwee Lim; Siying Liu (CogSci, 2011)

Smoothly varying affine stitching. - Wen-Yan Lin; Siying Liu; Yasuyuki Matsushita; Tian-Tsong Ng; Loong Fah Cheong (CVPR, 2011)

Advertisement Image Recognition for a Location-Based Reminder System. - Siying Liu; Yiqun Li; Aiyuan Guo; Joo-Hwee Lim (MMM (2), 2011)

Aligning images in the wild. - Wen-Yan Lin; Linlin Liu; Yasuyuki Matsushita; Kok-Lim Low; Siying Liu (CVPR, 2012)

Simultaneous Camera Pose and Correspondence Estimation with Motion Coherence. - Wen-Yan Lin; Loong Fah Cheong; Ping Tan; Guo Dong; Siying Liu (Int. J. Comput. Vis., 2012)

Subspace methods for computational relighting. - Ha Q. Nguyen 001; Siying Liu; Minh N. Do (Computational Imaging, 2013)

Relighting from multiple color and depth images using matrix factorization. - Siying Liu; Minh N. Do (ICIP, 2014)

PatchMatch-Based Automatic Lattice Detection for Near-Regular Textures. - Siying Liu; Tian-Tsong Ng; Kalyan Sunkavalli; Minh N. Do; Eli Shechtman; Nathan Carr 001 (ICCV, 2015)

RepMatch: Robust Feature Matching and Pose for Reconstructing Modern Cities. - Wen-Yan Lin; Siying Liu; Nianjuan Jiang; Minh N. Do; Ping Tan; Jiangbo Lu (ECCV (1), 2016)

Physically based geometry and reflectance recovery from images - Siying Liu (2016)

Handling small motions without differential approximation. - Siying Liu; Karianto Leman (APSIPA, 2017)

Inverse Rendering and Relighting From Multiple Color Plus Depth Images. - Siying Liu; Minh N. Do (IEEE Trans. Image Process., 2017)

Dimensionality's Blessing: Clustering Images by Underlying Distribution. - Wen-Yan Lin; Siying Liu; Jian-Huang Lai; Yasuyuki Matsushita (CVPR, 2018)

Registration Algorithm Based on Line-Intersection-Line for Satellite Remote Sensing Images of Urban Areas. - Siying Liu; Jie Jiang (Remote. Sens., 2019)

Dual-SLAM: A framework for robust single camera navigation. - Huajian Huang; Wen-Yan Lin; Siying Liu; Dong Zhang; Sai-Kit Yeung (IROS, 2020)

Analysis for warning factors of type 2 diabetes mellitus complications with Markov blanket based on a Bayesian network model. - Siying Liu; Runtong Zhang; Xiaopu Shang; Weizi Li (Comput. Methods Programs Biomed., 2020)

Deep Unsupervised Anomaly Detection. - Tangqing Li; Zheng Wang; Siying Liu; Wen-Yan Lin (WACV, 2021)

Gaussian Decay Function-based Improved Moment Matching for Ocular Artifacts Removal. - Hua Jiang; Qiuxia Shi; Siying Liu; Jiuying Zhang; Qinglin Zhao; Bin Hu 001 (BIBM, 2022)

Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection. - Wen-Yan Lin; Zhonghang Liu; Siying Liu (ECCV (30), 2022)

Convolutional ISTA Network with Temporal Consistency Constraints for Video Reconstruction from Event Cameras. - Siying Liu; Roxana Alexandru; Pier Luigi Dragotti (ICASSP, 2022)

Shell Theory: A Statistical Model of Reality. - Wen-Yan Lin; Siying Liu; Changhao Ren; Ngai-Man Cheung; Hongdong Li; Yasuyuki Matsushita (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Green Citrus Detection and Counting in Orchards Based on YOLOv5-CS and AI Edge System. - Shilei Lyu; Ruiyao Li; Yawen Zhao 003; Zhen Li; Renjie Fan; Siying Liu (Sensors, 2022)

Dual-Feature Enhancement for Weakly Supervised Temporal Action Localization. - Siying Liu; Qiankun Liu 001; Qi Chu 001; Bin Liu 016; Nenghai Yu (ICASSP, 2023)

Distance Based Image Classification: A solution to generative classification's conundrum? - Wen-Yan Lin; Siying Liu; Bing Tian Dai; Hongdong Li (Int. J. Comput. Vis., 2023)

Context-aware style learning and content recovery networks for neural style transfer. - Lianwei Wu; Pusheng Liu; Yuheng Yuan; Siying Liu; Yanning Zhang 001 (Inf. Process. Manag., 2023)

Sensing Diversity and Sparsity Models for Event Generation and Video Reconstruction from Events. - Siying Liu; Pier Luigi Dragotti (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

WiMANS: A Benchmark Dataset for WiFi-Based Multi-user Activity Sensing. - Shuokang Huang; Kaihan Li; Di You; Yichong Chen; Arvin Lin; Siying Liu; Xiaohui Li; Julie A. McCann (ECCV (42), 2024)

Real-Time Wireless Channel Prediction Based on Online Federated Learning. - Siying Liu; Congduan Li; Jieyi Deng (VTC Spring, 2024)

Detecting Diverse Poisoning Attacks in Federated Learning Based on Joint Similarity. - Jieyi Deng; Siying Liu; Congduan Li (WCSP, 2024)

Enhanced Event-Based Video Reconstruction with Motion Compensation. - Siying Liu; Pier Luigi Dragotti (CoRR, 2024)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

Hierarchical learning of gastric cancer molecular subtypes by integrating multi-modal DNA-level omics data and clinical stratification. - Binyu Yang; Siying Liu; Jiemin Xie; Xi Tang; Pan Guan; Yifan Zhu; Xuemei Liu; Yunhui Xiong; Zuli Yang; Weiyao Li; Yonghua Wang; Wen Chen; et al. (Quant. Biol., 2024)

An Efficient YOLOv8-Based Model With Cross-Level Path Aggregation Enabling Personal Protective Equipment Detection. - Zheng Wang 051; Yu Zhu; Zhaoxiang Ji; Siying Liu; Yingjie Zhang (IEEE Trans. Ind. Informatics, 2024)

RDP-FedAB: A Federated Learning Framework Balancing Privacy Protection and Model Performance. - Xiaoyi Wang; Fangmin Xie; Siying Liu; Xiangwei Lai (ICIC (4), 2025)

An effective deep learning approach enabling miners' protective equipment detection and tracking using improved YOLOv7 architecture. - Zheng Wang; Yu Zhu; Yingjie Zhang; Siying Liu (Comput. Electr. Eng., 2025)

Enhanced accuracy in first-spike coding using current-based adaptive LIF neuron. - Siying Liu; Pier Luigi Dragotti (Neural Networks, 2025)