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Ziyuan Zhao
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2020 – today
- 2024
- [c42]Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang:
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. IJCAI 2024: 5808-5816 - [c41]Ziyuan Zhao, Fen Fang, Xulei Yang, Qianli Xu, Cuntai Guan, S. Kevin Zhou:
See, Predict, Plan: Diffusion for Procedure Planning in Robotic Surgical Videos. MICCAI (6) 2024: 553-563 - [i28]Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang:
Graph Neural Networks for Protein-Protein Interactions - A Short Survey. CoRR abs/2404.10450 (2024) - 2023
- [j9]Fei Du, Yun Yang, Ziyuan Zhao, Zeng Zeng:
Efficient Perturbation Inference and Expandable Network for continual learning. Neural Networks 159: 97-106 (2023) - [j8]Jie Wang, Richard Chang, Ziyuan Zhao, Ramanpreet Singh Pahwa:
Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach. Sensors 23(12): 5470 (2023) - [j7]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [j6]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 633-646 (2023) - [c40]Su Zhang, Ziyuan Zhao, Cuntai Guan:
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5. CVPR Workshops 2023: 5764-5769 - [c39]Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin:
Metagrad: Adaptive Gradient Quantization with Hypernetworks. ICIP 2023: 276-280 - [c38]Ruipeng Sun, Ziyuan Zhao, Li Shen, Zeng Zeng, Yuxin Li, Bharadwaj Veeravalli, Xulei Yang:
An Efficient Deep Video Model For Deepfake Detection. ICIP 2023: 351-355 - [c37]Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang:
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP 2023: 1990-1994 - [c36]Cheng Shi, Ying Liu, Minghua Zhao, Zhenzhen You, Ziyuan Zhao:
Adversarial Defense via Perturbation-Disentanglement in Hyperspectral Image Classification. ICIP 2023: 2935-2939 - [c35]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. IJCAI 2023: 4984-4992 - [c34]Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen:
PSLOG: Pretraining with Search Logs for Document Ranking. KDD 2023: 2072-2082 - [c33]Yansheng Qiu, Ziyuan Zhao, Hongdou Yao, Delin Chen, Zheng Wang:
Modal-aware Visual Prompting for Incomplete Multi-modal Brain Tumor Segmentation. ACM Multimedia 2023: 3228-3239 - [i27]Kaixin Xu, Alina Hui Xiu Lee, Ziyuan Zhao, Zhe Wang, Min Wu, Weisi Lin:
MetaGrad: Adaptive Gradient Quantization with Hypernetworks. CoRR abs/2303.02347 (2023) - [i26]Su Zhang, Ziyuan Zhao, Cuntai Guan:
Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5. CoRR abs/2303.10335 (2023) - [i25]Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, Xulei Yang, Cuntai Guan:
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. CoRR abs/2303.15826 (2023) - [i24]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. CoRR abs/2305.06978 (2023) - [i23]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. CoRR abs/2305.08316 (2023) - 2022
- [j5]Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan:
Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. IEEE Trans. Cybern. 52(12): 13458-13471 (2022) - [j4]Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Hao Xin, Lei Chen, Jianchun Song, Zhenhong Chen, Meng Zhao:
Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach. IEEE Trans. Knowl. Data Eng. 34(7): 3225-3240 (2022) - [c32]Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang:
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. BMVC 2022: 916 - [c31]Ziyuan Zhao, Kaixin Xu, Huai Zhe Yeo, Xulei Yang, Cuntai Guan:
MS-MT: Multi-scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. BrainLes@MICCAI (2) 2022: 68-78 - [c30]Xiaoyan Zheng, Zeng Zeng, Can Ma, Qing Chang, Ziyuan Zhao, Xulei Yang:
Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. EMBC 2022: 451-454 - [c29]Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. EMBC 2022: 467-470 - [c28]Zeng Zeng, Shenghao Zhao, Qing Da, Peisheng Qian, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Xulei Yang:
CycleDNN - A Novel Deep Neural Network Model for CETSA Feature Prediction cross Cell Lines. EMBC 2022: 1647-1650 - [c27]Xulei Yang, Qing Da, Peisheng Qian, Bharadwaj Veeravalli, Tam Wai Leong, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Ziyuan Zhao, Zeng Zeng:
CETSA Feature Based Clustering for Protein Outlier Discovery by Protein-to-Protein Interaction Prediction. EMBC 2022: 1659-1662 - [c26]Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Residual Channel Attention Network for Brain Glioma Segmentation. EMBC 2022: 2132-2135 - [c25]Luyang Jie, Pengchen Liang, Ziyuan Zhao, Jianguo Chen, Qing Chang, Zeng Zeng:
ADAN: An Adversarial Domain Adaptation Neural Network for Early Gastric Cancer Prediction. EMBC 2022: 2169-2172 - [c24]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. EMBC 2022: 5043-5046 - [c23]Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli:
Object-Aware Self-Supervised Multi-Label Learning. ICIP 2022: 361-365 - [c22]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive Learning for Semi-Supervised Cardiac Image Segmentation. ICIP 2022: 401-405 - [c21]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation. ICIP 2022: 1426-1430 - [c20]Qiyu Wei, Xulei Yang, Tong Sang, Huijiao Wang, Xiaofeng Zou, Zhongyao Cheng, Ziyuan Zhao, Zeng Zeng:
Latent Vector Prototypes Guided Conditional Face Synthesis. ICIP 2022: 3898-3902 - [c19]Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng:
Adaptive Mean-Residue Loss for Robust Facial Age Estimation. ICME 2022: 1-6 - [c18]Ziyuan Zhao, Milan Simic:
Transition to Electric and Autonomous Vehicles in China. KES-HCIS 2022: 111-123 - [c17]Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation. MICCAI (5) 2022: 128-139 - [c16]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS 2022 - [i22]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. CoRR abs/2203.12454 (2022) - [i21]Ziyuan Zhao, Peisheng Qian, Yubo Hou, Zeng Zeng:
Adaptive Mean-Residue Loss for Robust Facial Age Estimation. CoRR abs/2203.17156 (2022) - [i20]Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan:
Self-supervised Assisted Active Learning for Skin Lesion Segmentation. CoRR abs/2205.07021 (2022) - [i19]Kaixin Xu, Liyang Liu, Ziyuan Zhao, Zeng Zeng, Bharadwaj Veeravalli:
Object-Aware Self-supervised Multi-Label Learning. CoRR abs/2205.07028 (2022) - [i18]Yaxin Zhu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Deep Feature Fusion via Graph Convolutional Network for Intracranial Artery Labeling. CoRR abs/2205.10757 (2022) - [i17]Yiming Yao, Peisheng Qian, Ziyuan Zhao, Zeng Zeng:
Residual Channel Attention Network for Brain Glioma Segmentation. CoRR abs/2205.10758 (2022) - [i16]Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik:
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. CoRR abs/2206.08496 (2022) - [i15]Ziyuan Zhao, Jinxuan Hu, Zeng Zeng, Xulei Yang, Peisheng Qian, Bharadwaj Veeravalli, Cuntai Guan:
MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation. CoRR abs/2207.01883 (2022) - [i14]Ziyuan Zhao, Andong Zhu, Zeng Zeng, Bharadwaj Veeravalli, Cuntai Guan:
ACT-Net: Asymmetric Co-Teacher Network for Semi-supervised Memory-efficient Medical Image Segmentation. CoRR abs/2207.01900 (2022) - [i13]Ziyuan Zhao, Mingxi Xu, Peisheng Qian, Ramanpreet Singh Pahwa, Richard Chang:
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection. CoRR abs/2212.02057 (2022) - [i12]Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, Zeng Zeng, Cuntai Guan, S. Kevin Zhou:
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation. CoRR abs/2212.02078 (2022) - 2021
- [j3]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning From Strong and Weak Labelers for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 25(10): 3744-3751 (2021) - [c15]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. EMBC 2021: 2115-2118 - [c14]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. EMBC 2021: 3395-3398 - [c13]Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce K. H. Chow:
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. EMBC 2021: 3582-3585 - [c12]Ziyuan Zhao, Kaixin Xu, Shumeng Li, Zeng Zeng, Cuntai Guan:
MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels. MICCAI (1) 2021: 293-303 - [i11]Ziyuan Zhao, Zeng Zeng, Kaixin Xu, Cen Chen, Cuntai Guan:
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation. CoRR abs/2101.09057 (2021) - [i10]Shumeng Li, Ziyuan Zhao, Kaixin Xu, Zeng Zeng, Cuntai Guan:
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation. CoRR abs/2105.10369 (2021) - [i9]Ziyuan Zhao, Zeyu Ma, Yanjie Liu, Zeng Zeng, Pierce K. H. Chow:
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation. CoRR abs/2108.06761 (2021) - [i8]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. CoRR abs/2108.06763 (2021) - 2020
- [c11]Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. EMBC 2020: 1620-1623 - [c10]Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. EMBC 2020: 1954-1957 - [c9]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, Pierce K. H. Chow:
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. EMBC 2020: 5814-5817 - [c8]Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. EMBC 2020: 6095-6098 - [c7]Zijian Li, Wenhao Zheng, Xueling Lin, Ziyuan Zhao, Zhe Wang, Yue Wang, Xun Jian, Lei Chen, Qiang Yan, Tiezheng Mao:
TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings. ICDE 2020: 589-600 - [c6]Yue Wang, Zhe Wang, Ziyuan Zhao, Zijian Li, Xun Jian, Lei Chen, Jianchun Song:
HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks. ICDE 2020: 1954-1957 - [c5]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. ICIP 2020: 2496-2500 - [i7]Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli, Zeng Zeng:
Deeply Supervised Active Learning for Finger Bones Segmentation. CoRR abs/2005.03225 (2020) - [i6]Peisheng Qian, Ziyuan Zhao, Haobing Liu, Yingcai Wang, Yu Peng, Sheng Hu, Jing Zhang, Yue Deng, Zeng Zeng:
Multi-Target Deep Learning for Algal Detection and Classification. CoRR abs/2005.03232 (2020) - [i5]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, Pierce K. H. Chow:
Multi-Phase Cross-modal Learning for Noninvasive Gene Mutation Prediction in Hepatocellular Carcinoma. CoRR abs/2005.04069 (2020) - [i4]Kaixin Xu, Ziyuan Zhao, Jiapan Gu, Zeng Zeng, Chan Wan Ying, Lim Kheng Choon, Thng Choon Hua, Pierce K. H. Chow:
Multi-Instance Multi-Label Learning for Gene Mutation Prediction in Hepatocellular Carcinoma. CoRR abs/2005.04073 (2020) - [i3]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. CoRR abs/2010.15344 (2020)
2010 – 2019
- 2019
- [j2]Ziyuan Zhao, Huiying Zhu, Zehao Xue, Zhao Liu, Jing Tian, Matthew Chin Heng Chua, Maofu Liu:
An image-text consistency driven multimodal sentiment analysis approach for social media. Inf. Process. Manag. 56(6) (2019) - [c4]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. BHI 2019: 1-4 - [c3]Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian, Matthew Chin Heng Chua, Li Chen, Xin Xu:
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading. ICIP 2019: 1385-1389 - [c2]Yunjin Wu, Ziyuan Zhao, Shengqiang Zhang, Lulu Yao, Yan Yang, Tom Z. J. Fu, Stefan Winkler:
Interactive Multi-camera Soccer Video Analysis System. ACM Multimedia 2019: 1047-1049 - [i2]Ziyuan Zhao, Xiaoman Zhang, Cen Chen, Wei Li, Songyou Peng, Jie Wang, Xulei Yang, Le Zhang, Zeng Zeng:
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation. CoRR abs/1903.04778 (2019) - [i1]Ziyuan Zhao, Kerui Zhang, Xuejie Hao, Jing Tian, Matthew Chin Heng Chua, Li Chen, Xin Xu:
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading. CoRR abs/1905.06312 (2019) - 2014
- [j1]Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang:
gMission: A General Spatial Crowdsourcing Platform. Proc. VLDB Endow. 7(13): 1629-1632 (2014) - [c1]Chen Jason Zhang, Ziyuan Zhao, Lei Chen, H. V. Jagadish, Caleb Chen Cao:
CrowdMatcher: crowd-assisted schema matching. SIGMOD Conference 2014: 721-724
Coauthor Index
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