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2022

Journal Article

MonaGO: a novel gene ontology enrichment analysis visualisation system

Xin, Ziyin, Cai, Yujun, Dang, Louis T., Burke, Hannah M. S., Revote, Jerico, Charitakis, Natalie, Bienroth, Denis, Nim, Hieu T., Li, Yuan-Fang and Ramialison, Mirana (2022). MonaGO: a novel gene ontology enrichment analysis visualisation system. BMC Bioinformatics, 23 (1) 69. doi: 10.1186/s12859-022-04594-1

MonaGO: a novel gene ontology enrichment analysis visualisation system

2022

Conference Publication

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

Wang, Yiwei, Chen, Muhao, Zhou, Wenxuan, Cai, Yujun, Liang, Yuxuan and Hooi, Bryan (2022). GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, WA, United States, 10-15 July 2022. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2022.findings-naacl.128

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

2022

Conference Publication

Geometry-guided progressive NeRF for generalizable and efficient neural human rendering

Chen, Mingfei, Zhang, Jianfeng, Xu, Xiangyu, Liu, Lijuan, Cai, Yujun, Feng, Jiashi and Yan, Shuicheng (2022). Geometry-guided progressive NeRF for generalizable and efficient neural human rendering. 17th European Conference on Computer Vision ECCV 2022, Tel Aviv, Israel, 23-27 October 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20050-2_14

Geometry-guided progressive NeRF for generalizable and efficient neural human rendering

2021

Conference Publication

Adaptive data augmentation on temporal graphs

Wang, Yiwei, Cai, Yujun, Liang, Yuxuan, Ding, Henghui, Wang, Changhu, Bhatia, Siddharth and Hooi, Bryan (2021). Adaptive data augmentation on temporal graphs. NIPS'21: 35th International Conference on Neural Information Processing Systems, Virtual, 6-14 December 2021. Maryland Heights, MO USA: Morgan Kaufmann Publishers. doi: 10.5555/3540261

Adaptive data augmentation on temporal graphs

2021

Journal Article

3D hand pose estimation using synthetic data and weakly labeled RGB images

Cai, Yujun, Ge, Liuhao, Cai, Jianfei, Thalmann, Nadia Magnenat and Yuan, Junsong (2021). 3D hand pose estimation using synthetic data and weakly labeled RGB images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43 (11), 3739-3753. doi: 10.1109/TPAMI.2020.2993627

3D hand pose estimation using synthetic data and weakly labeled RGB images

2021

Conference Publication

Mixup for node and graph classification

Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). Mixup for node and graph classification. WWW '21: The Web Conference 2021, Ljubljana, Slovenia, 19-23 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3449796

Mixup for node and graph classification

2021

Conference Publication

CurGraph: curriculum learning for graph classification

Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). CurGraph: curriculum learning for graph classification. WWW '21: The Web Conference 202, Ljubljana, Slovenia, 19-23 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3450025

CurGraph: curriculum learning for graph classification

2021

Conference Publication

Progressive supervision for node classification

Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun and Hooi, Bryan (2021). Progressive supervision for node classification. European Conference, ECML PKDD 2020, Ghent, Belgium, 14-18 September 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-67658-2_16

Progressive supervision for node classification

2021

Conference Publication

Direct multi-view multi-person 3D pose estimation

Wang, Tao, Zhang, Jianfeng, Cai, Yujun, Yan, Shuicheng and Feng, Jiashi (2021). Direct multi-view multi-person 3D pose estimation. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Online, 6-14 December 2021. Maryland Heights, MO, United States: Morgan Kaufmann Publishers.

Direct multi-view multi-person 3D pose estimation

2020

Conference Publication

Detecting implementation bugs in graph convolutional network based node classifiers

Wang, Yiwei, Wang, Wei, Cai, Yujun, Hooi, Bryan and Ooi, Beng Chin (2020). Detecting implementation bugs in graph convolutional network based node classifiers. 2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), Coimbra, Portugal, 12-15 October 2020. Piscataway, NJ USA: IEEE Computer Society. doi: 10.1109/ISSRE5003.2020.00037

Detecting implementation bugs in graph convolutional network based node classifiers

2020

Conference Publication

NodeAug: semi-supervised node classification with data augmentation

Wang, Yiwei, Wang, Wei, Liang, Yuxuan, Cai, Yujun, Liu, Juncheng and Hooi, Bryan (2020). NodeAug: semi-supervised node classification with data augmentation. KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual, 6-10 July 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394486.3403063

NodeAug: semi-supervised node classification with data augmentation

2020

Conference Publication

DeepEMD: few-shot image classification with differentiable Earth Mover's Distance and structured classifiers

Zhang, Chi, Cai, Yujun, Lin, Guosheng and Shen, Chunhua (2020). DeepEMD: few-shot image classification with differentiable Earth Mover's Distance and structured classifiers. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA USA, 13-19 June 2020. Piscataway, NJ USA: IEEE Computer Society. doi: 10.1109/CVPR42600.2020.01222

DeepEMD: few-shot image classification with differentiable Earth Mover's Distance and structured classifiers

2020

Conference Publication

Learning Progressive Joint Propagation for Human Motion Prediction

Cai, Yujun, Huang, Lin, Wang, Yiwei, Cham, Tat-Jen, Cai, Jianfei, Yuan, Junsong, Liu, Jun, Yang, Xu, Zhu, Yiheng, Shen, Xiaohui, Liu, Ding, Liu, Jing and Thalmann, Nadia Magnenat (2020). Learning Progressive Joint Propagation for Human Motion Prediction. Computer Vision – ECCV 2020 16th European Conference, Glasgow, United Kingdom, 23-28 August 2020. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-58571-6_14

Learning Progressive Joint Propagation for Human Motion Prediction

2019

Conference Publication

Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks

Cai, Yujun, Ge, Liuhao, Liu, Jun, Cai, Jianfei, Cham, Tat-Jen, Yuan, Junsong and Thalmann, Nadia Magnenat (2019). Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks. IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, South Korea, 27 October-2 November 2019. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV.2019.00236

Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks

2018

Conference Publication

Hand PointNet: 3D Hand Pose Estimation Using Point Sets

Ge, Liuhao, Cai, Yujun, Weng, Junwu and Yuan, Junsong (2018). Hand PointNet: 3D Hand Pose Estimation Using Point Sets. IEEE Computer Society. doi: 10.1109/CVPR.2018.00878

Hand PointNet: 3D Hand Pose Estimation Using Point Sets

2018

Conference Publication

Weakly-supervised 3D hand pose estimation from monocular RGB images

Cai, Yujun, Ge, Liuhao, Cai, Jianfei and Yuan, Junsong (2018). Weakly-supervised 3D hand pose estimation from monocular RGB images. Springer Verlag. doi: 10.1007/978-3-030-01231-1_41

Weakly-supervised 3D hand pose estimation from monocular RGB images