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Dr Yujun Cai
Dr

Yujun Cai

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Overview

Availability

Dr Yujun Cai is:
Available for supervision

Qualifications

  • Doctor of Philosophy of Electrical Engineering and Computer Science, Nanyang Technological University

Works

Search Professor Yujun Cai’s works on UQ eSpace

45 works between 2018 and 2025

21 - 40 of 45 works

2023

Conference Publication

How fragile is relation extraction under entity replacements?

Wang, Yiwei, Hooi, Bryan, Wang, Fei, Cai, Yujun, Liang, Yuxuan, Zhou, Wenxuan, Tang, Jing, Duan, Manjuan and Chen, Muhao (2023). How fragile is relation extraction under entity replacements?. 27th Conference on Computational Natural Language Learning (CoNLL), Singapore, Singapore, 6-7 December 2023. Kerrville, TX USA: Association for Computational Linguistics. doi: 10.18653/v1/2023.conll-1.27

How fragile is relation extraction under entity replacements?

2023

Journal Article

DeepEMD: differentiable Earth Mover's Distance for few-shot learning

Zhang, Chi, Cai, Yujun, Lin, Guosheng and Shen, Chunhua (2023). DeepEMD: differentiable Earth Mover's Distance for few-shot learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (5), 5632-5648. doi: 10.1109/TPAMI.2022.3217373

DeepEMD: differentiable Earth Mover's Distance for few-shot learning

2023

Conference Publication

A characteristic function-based method for bottom-up human pose estimation

Qu, Haoxuan, Cai, Yujun, Foo, Lin Geng, Kumar, Ajay and Liu, Jun (2023). A characteristic function-based method for bottom-up human pose estimation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 17-24 June 2023. Washington, DC USA: IEEE Computer Society. doi: 10.1109/CVPR52729.2023.01250

A characteristic function-based method for bottom-up human pose estimation

2022

Conference Publication

UmeTrack: unified multi-view end-to-end hand tracking for VR

Han, Shangchen, Wu, Po-Chen, Zhang, Yubo, Liu, Beibei, Zhang, Linguang, Wang, Zheng, Si, Weiguang, Zhang, Peizhao, Cai, Yujun, Hodan, Tomas, Cabezas, Randi, Tran, Luan, Akbay, Muzaffer, Yu, Tsz-Ho, Keskin, Cem and Wang, Robert (2022). UmeTrack: unified multi-view end-to-end hand tracking for VR. SA '22: SIGGRAPH Asia 2022, Daegu, Republic of Korea, New York, NY USA. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3550469.3555378

UmeTrack: unified multi-view end-to-end hand tracking for VR

2022

Conference Publication

Time-aware neighbor sampling on temporal graphs

Wang, Yiwei, Cai, Yujun, Liang, Yuxuan, Ding, Henghui, Wang, Changhu and Hooi, Bryan (2022). Time-aware neighbor sampling on temporal graphs. 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18-23 July 2022. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN55064.2022.9892942

Time-aware neighbor sampling on temporal graphs

2022

Conference Publication

Should we rely on entity mentions for relation extraction? Debiasing relation extraction with counterfactual analysis

Wang, Yiwei, Chen, Muhao, Zhou, Wenxuan, Cai, Yujun, Liang, Yuxuan, Liu, Dayiheng, Yang, Baosong, Liu, Juncheng and Hooi, Bryan (2022). Should we rely on entity mentions for relation extraction? Debiasing relation extraction with counterfactual analysis. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Seattle, WA USA, 10-15 July 2022. Kerrville, TX USA: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2022.naacl-main.224

Should we rely on entity mentions for relation extraction? Debiasing relation extraction with counterfactual analysis

2022

Conference Publication

A unified 3D human motion synthesis model via conditional variational auto-encoder

Cai, Yujun, Wang, Yiwei, Zhu, Yiheng, Cham, Tat-Jen, Cai, Jianfei, Yuan, Junsong, Liu, Jun, Zheng, Chuanxia, Yan, Sijie, Ding, Henghui, Shen, Xiaohui, Liu, Ding and Thalmann, Nadia Magnenat (2022). A unified 3D human motion synthesis model via conditional variational auto-encoder. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.01144

A unified 3D human motion synthesis model via conditional variational auto-encoder

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

2022

Conference Publication

Heatmap Distribution Matching for Human Pose Estimation

Qu, Haoxuan, Xu, Li, Cai, Yujun, Foo, Lin Geng and Liu, Jun (2022). Heatmap Distribution Matching for Human Pose Estimation. 36th Conference on Neural Information Processing Systems (NeurIPS), Electr Network, Nov 28-Dec 09, 2022. LA JOLLA: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). doi: 10.52202/068431-1766

Heatmap Distribution Matching for Human Pose Estimation

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

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 Annual Conference on Neural Information Processing Systems (NeurIPS), Electr Network, Dec 06-14, 2021. LA JOLLA: NEURAL INFORMATION PROCESSING SYSTEMS (NIPS).

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

Supervision

Availability

Dr Yujun Cai is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

Supervision history

Current supervision

  • Doctor Philosophy

    Multi-Modal Perception for Context-Aware Systems

    Associate Advisor

    Other advisors: Dr Miao Xu

  • Doctor Philosophy

    Multimodal Learning for Advanced Graph Data Analysis

    Associate Advisor

    Other advisors: Professor Helen Huang, Dr Ruihong Qiu

Media

Enquiries

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