CrowdMatcher: crowd-assisted schema matching. - Chen Jason Zhang; Ziyuan Zhao; Lei Chen 002; H. V. Jagadish; Caleb Chen Cao (SIGMOD Conference, 2014)

gMission: A General Spatial Crowdsourcing Platform. - Zhao Chen 003; Rui Fu; Ziyuan Zhao; Zheng Liu 011; Leihao Xia; Lei Chen 002; Peng Cheng 003; Caleb Chen Cao; Yongxin Tong; Chen Jason Zhang (Proc. VLDB Endow., 2014)

Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. - Ziyuan Zhao; Xiaoman Zhang; Cen Chen 001; Wei Li; Songyou Peng; Jie Wang 042; Xulei Yang; Le Zhang 001; Zeng Zeng (BHI, 2019)

BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading. - Ziyuan Zhao; Kerui Zhang; Xuejie Hao; Jing Tian 002; Matthew Chin Heng Chua; Li Chen 011; Xin Xu 007 (ICIP, 2019)

Interactive Multi-camera Soccer Video Analysis System. - Yunjin Wu; Ziyuan Zhao; Shengqiang Zhang; Lulu Yao; Yan Yang; Tom Z. J. Fu; Stefan Winkler (ACM Multimedia, 2019)

An image-text consistency driven multimodal sentiment analysis approach for social media. - Ziyuan Zhao; Huiying Zhu; Zehao Xue; Zhao Liu; Jing Tian 002; Matthew Chin Heng Chua; Maofu Liu (Inf. Process. Manag., 2019)

Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. - Jiapan Gu; Ziyuan Zhao; Zeng Zeng; Yuzhe Wang; Zhengyiren Qiu; Bharadwaj Veeravalli; Brian Kim Poh Goh; Glenn Kunnath Bonney; Krishnakumar Madhavan; Chan Wan Ying; Lim Kheng Choon; Thng Choon Hua; et al. (EMBC, 2020)

Multi-Target Deep Learning for Algal Detection and Classification. - Peisheng Qian; Ziyuan Zhao; Haobing Liu 004; Yingcai Wang; Yu Peng; Sheng Hu; Jing Zhang; Yue Deng; Zeng Zeng (EMBC, 2020)

Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. - Kaixin Xu; Ziyuan Zhao; Jiapan Gu; Zeng Zeng; Chan Wan Ying; Lim Kheng Choon; Thng Choon Hua; Pierce K. H. Chow (EMBC, 2020)

Deeply Supervised Active Learning for Finger Bones Segmentation. - Ziyuan Zhao; Xiaoyan Yang; Bharadwaj Veeravalli; Zeng Zeng (EMBC, 2020)

TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. - Zijian Li 002; Wenhao Zheng 001; Xueling Lin; Ziyuan Zhao; Zhe Wang 019; Yue Wang 012; Xun Jian 001; Lei Chen 002; Qiang Yan; Tiezheng Mao (ICDE, 2020)

HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks. - Yue Wang 012; Zhe Wang 019; Ziyuan Zhao; Zijian Li 002; Xun Jian 001; Lei Chen 002; Jianchun Song (ICDE, 2020)

Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. - Ziyuan Zhao; Kartik Chopra; Zeng Zeng; Xiaoli Li 001 (ICIP, 2020)

Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. - Shumeng Li; Ziyuan Zhao; Kaixin Xu; Zeng Zeng; Cuntai Guan (EMBC, 2021)

Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. - Peisheng Qian; Ziyuan Zhao; Cong Chen; Zeng Zeng; Xiaoli Li 001 (EMBC, 2021)

Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. - Ziyuan Zhao; Zeyu Ma; Yanjie Liu; Zeng Zeng; Pierce K. H. Chow (EMBC, 2021)

MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. - Ziyuan Zhao; Kaixin Xu; Shumeng Li; Zeng Zeng; Cuntai Guan (MICCAI (1), 2021)

DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. - Ziyuan Zhao; Zeng Zeng; Kaixin Xu; Cen Chen 001; Cuntai Guan (IEEE J. Biomed. Health Informatics, 2021)

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. - Ziyuan Zhao; Mingxi Xu; Peisheng Qian; Ramanpreet Singh Pahwa; Richard Chang 002 (BMVC, 2022)

MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. - Ziyuan Zhao; Kaixin Xu; Huai Zhe Yeo; Xulei Yang; Cuntai Guan (BrainLes@MICCAI (2), 2022)

ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. - Luyang Jie; Pengchen Liang; Ziyuan Zhao; Jianguo Chen 001; Qing Chang 004; Zeng Zeng (EMBC, 2022)

CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. - Xulei Yang; Qing Da; Peisheng Qian; Bharadwaj Veeravalli; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

Residual Channel Attention Network for Brain Glioma Segmentation. - Yiming Yao; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. - Zeng Zeng; Shenghao Zhao; Qing Da; Peisheng Qian; Tam Wai Leong; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Self-supervised Assisted Active Learning for Skin Lesion Segmentation. - Ziyuan Zhao; Wenjing Lu; Zeng Zeng; Kaixin Xu; Bharadwaj Veeravalli; Cuntai Guan (EMBC, 2022)

Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. - Xiaoyan Zheng; Zeng Zeng; Can Ma; Qing Chang 004; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. - Yaxin Zhu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng (EMBC, 2022)

Latent Vector Prototypes Guided Conditional Face Synthesis. - Qiyu Wei; Xulei Yang; Tong Sang; Huijiao Wang; Xiaofeng Zou; Zhongyao Cheng; Ziyuan Zhao; Zeng Zeng (ICIP, 2022)

Object-Aware Self-Supervised Multi-Label Learning. - Kaixin Xu; Liyang Liu; Ziyuan Zhao; Zeng Zeng; Bharadwaj Veeravalli (ICIP, 2022)

MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. - Ziyuan Zhao; Jinxuan Hu; Zeng Zeng; Xulei Yang; Peisheng Qian; Bharadwaj Veeravalli; Cuntai Guan (ICIP, 2022)

ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation. - Ziyuan Zhao; Andong Zhu 003; Zeng Zeng; Bharadwaj Veeravalli; Cuntai Guan (ICIP, 2022)

Adaptive Mean-Residue Loss for Robust Facial Age Estimation. - Ziyuan Zhao; Peisheng Qian; Yubo Hou; Zeng Zeng (ICME, 2022)

Transition to Electric and Autonomous Vehicles in China. - Ziyuan Zhao; Milan Simic (KES-HCIS, 2022)

Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (MICCAI (5), 2022)

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. - Xiang Zhang 012; Ziyuan Zhao; Theodoros Tsiligkaridis; Marinka Zitnik (NeurIPS, 2022)

Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. - Zeng Zeng; Wei Zhao 035; Peisheng Qian; Yingjie Zhou 001; Ziyuan Zhao; Cen Chen 002; Cuntai Guan (IEEE Trans. Cybern., 2022)

Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach. - Yue Wang 012; Zhe Wang 019; Ziyuan Zhao; Zijian Li 002; Xun Jian 001; Hao Xin; Lei Chen 002; Jianchun Song; Zhenhong Chen; Meng Zhao (IEEE Trans. Knowl. Data Eng., 2022)

Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5. - Su Zhang 004; Ziyuan Zhao; Cuntai Guan (CVPR Workshops, 2023)

COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. - Zhongyao Cheng; Cen Chen 002; Ziyuan Zhao; Peisheng Qian; Xiaoli Li 001; Xulei Yang (ICIP, 2023)

Adversarial Defense via Perturbation-Disentanglement in Hyperspectral Image Classification. - Cheng Shi; Ying Liu; Minghua Zhao; Zhenzhen You; Ziyuan Zhao (ICIP, 2023)

An Efficient Deep Video Model For Deepfake Detection. - Ruipeng Sun; Ziyuan Zhao; Li Shen; Zeng Zeng; Yuxin Li; Bharadwaj Veeravalli; Xulei Yang (ICIP, 2023)

Metagrad: Adaptive Gradient Quantization with Hypernetworks. - Kaixin Xu; Alina Hui Xiu Lee; Ziyuan Zhao; Zhe Wang 019; Min Wu 008; Weisi Lin (ICIP, 2023)

SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. - Ziyuan Zhao; Peisheng Qian; Xulei Yang; Zeng Zeng; Cuntai Guan; Tam Wai Leong; Xiaoli Li 001 (IJCAI, 2023)

PSLOG: Pretraining with Search Logs for Document Ranking. - Zhan Su; Zhicheng Dou; Yujia Zhou 002; Ziyuan Zhao; Ji-Rong Wen (KDD, 2023)

MS-MT++: Enhanced Multi-scale Mean Teacher for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. - Ziyuan Zhao; Ruikai Lin; Kaixin Xu; Xulei Yang; Cuntai Guan (BraTS/CrossMoDA@MICCAI, 2023)

Modal-aware Visual Prompting for Incomplete Multi-modal Brain Tumor Segmentation. - Yansheng Qiu; Ziyuan Zhao; Hongdou Yao; Delin Chen; Zheng Wang 007 (ACM Multimedia, 2023)

Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach. - Jie Wang 042; Richard Chang 002; Ziyuan Zhao; Ramanpreet Singh Pahwa (Sensors, 2023)

Efficient Perturbation Inference and Expandable Network for continual learning. - Fei Du; Yun Yang 003; Ziyuan Zhao; Zeng Zeng (Neural Networks, 2023)

CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. - Zeng Zeng; Ziyuan Zhao; Kaixin Xu; Yangfan Li; Cen Chen 002; Xiaofeng Zou; Yulan Wang; Wei Wei 006; Pierce K. H. Chow; Xiao-Li Li 001 (IEEE J. Biomed. Health Informatics, 2023)

LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. - Ziyuan Zhao; Fangcheng Zhou; Kaixin Xu; Zeng Zeng; Cuntai Guan; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

MMPrune4U: Regularizing Multimodal Feature Distortion in Weight Pruning for Deep Neural Network Compression. - Sudip Das; Kaixin Xu; Nushrat Hussain; Ziyuan Zhao; Arindam Das; Weisi Lin; Ujjwal Bhattacharya (BMVC, 2024)

Multi-dataset Collaborative Learning for Liver Tumor Segmentation. - Ziyuan Zhao; Renjun Cai; Kaixin Xu; Zhengji Liu; Xulei Yang; Jun Cheng 003; Cuntai Guan (EMBC, 2024)

Dual Prototypical Self-Supervised Learning for One-shot Medical Image Segmentation. - Ziyuan Zhao; Zhi Qing Ng; Zhongyao Cheng; Jiahao Wang; Xulei Yang; Hanry Yu; Cuntai Guan (EMBC, 2024)

Hybrid Model Design For Protein Function Prediction. - Shenghao Zhao; Xiaoyu Zhang; Ziyuan Zhao; Peisheng Qian; Weide Liu; Zeng Zeng; Bharadwaj Veeravalli; Lingyun Dai; Pär Nordlund; Nayana Prabhu; Tam Wai Leong; Xulei Yang (EMBC, 2024)

Intelligent Warehouse Robot for Classifying, Sorting, and Transporting Goods' Boxes. - Ziyuan Zhao; Amna Mazen; Youssef Bazzi; Bingyi Wang; Sushuang Li (IECON, 2024)

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. - Wenjie Du 003; Shuai Zhang; Di Wu 057; Jun Xia 001; Ziyuan Zhao; Junfeng Fang; Yang Wang 015 (IJCAI, 2024)

See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos. - Ziyuan Zhao; Fen Fang; Xulei Yang; Qianli Xu; Cuntai Guan; S. Kevin Zhou (MICCAI (6), 2024)

Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles. - Fan Ding; Xuewen Luo; Gaoxuan Li; Hwa Hui Tew; Junn Yong Loo; Wai Tong Chor; A. S. M. Bakibillah; Ziyuan Zhao; Zhiyu Tao (SMC, 2024)

Graph Neural Networks for Protein-Protein Interactions - A Short Survey. - Mingda Xu; Peisheng Qian; Ziyuan Zhao; Zeng Zeng; Jianguo Chen 001; Weide Liu; Xulei Yang (CoRR, 2024)

Identity in Play: How Personality Traits and Cognitive Preferences Shape Magic the Gathering Color Preferences. - Lucy Cui; Ronia Green; Billy Bao; Ziyuan Zhao; Alice Huang (HCI (51), 2025)

AIC3DOD: Advancing Indoor Class-Incremental 3D Object Detection with Point Transformer Architecture and Room Layout Constraints. - Zhongyao Cheng; Fang Wu; Peisheng Qian; Ziyuan Zhao; Xulei Yang (WACV, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)