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2025 Conference Publication Energy-Calibrated VAE with Test Time Free LunchLuo, Yihong, Qiu, Siya, Tao, Xingjian, Cai, Yujun and Tang, Jing (2025). Energy-Calibrated VAE with Test Time Free Lunch. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-73013-9_19 |
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2024 Conference Publication STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR InputKin, Kenrick, Wan, Chengde, Koh, Ken, Marin, Andrei, Camgöz, Necati Cihan, Zhang, Yubo, Cai, Yujun, Kovalev, Fedor, Ben-Zacharia, Moshe, Hoople, Shannon, Nunes-Ueno, Marcos, Sanchez-Rodriguez, Mariel, Bhargava, Ayush, Wang, Robert, Sauser, Eric and Ma, Shugao (2024). STMG: A Machine Learning Microgesture Recognition System for Supporting Thumb-Based VR/AR Input. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3613904.3642702 |
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2024 Conference Publication Social diffusion: long-term multiple human motion anticipationTanke, Julian, Zhang, Linguang, Zhao, Amy, Tang, Chengcheng, Cai, Yujun, Wang, Lezi, Wu, Po-Chen, Gall, Juergen and Keskin, Cem (2024). Social diffusion: long-term multiple human motion anticipation. 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 1-6 October 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV51070.2023.00880 |
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2024 Conference Publication LLMs are good action recognizersQu, Haoxuan, Cai, Yujun and Liu, Jun (2024). LLMs are good action recognizers. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, United States, 16-22 June 2024. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/CVPR52733.2024.01741 |
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2023 Conference Publication Primacy effect of ChatGPTWang, Yiwei, Cai, Yujun, Chen, Muhao, Liang, Yuxuan and Hooi, Bryan (2023). Primacy effect of ChatGPT. 2023 Conference on Empirical Methods in Natural Language Processing, Singapore, Singapore, 6-10 December 2023. Kerrville, TX USA: Association for Computational Linguistics. doi: 10.18653/v1/2023.emnlp-main.8 |
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2023 Conference Publication LMC: large model collaboration with cross-assessment for training-free open-set object recognitionQu, Haoxuan, Hui, Xiaofei, Cai, Yujun and Liu, Jun (2023). LMC: large model collaboration with cross-assessment for training-free open-set object recognition. NIPS'23: 37th International Conference on Neural Information Processing Systems, New Orleans, LA USA, 10-16 December 2023. Maryland Heights, MO USA: Morgan Kaufmann Publishers. doi: 10.5555/3666122.3668138 |
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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. |
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2022 Conference Publication UmeTrack: unified multi-view end-to-end hand tracking for VRHan, 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 |
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2022 Conference Publication Time-aware neighbor sampling on temporal graphsWang, 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 |
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2022 Conference Publication Should we rely on entity mentions for relation extraction? Debiasing relation extraction with counterfactual analysisWang, 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). |
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2022 Conference Publication A unified 3D human motion synthesis model via conditional variational auto-encoderCai, 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 |
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2022 Conference Publication GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation ExtractionWang, 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. |
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2022 Conference Publication Geometry-guided progressive NeRF for generalizable and efficient neural human renderingChen, 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 |
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2021 Conference Publication Adaptive data augmentation on temporal graphsWang, 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 |
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2021 Conference Publication Mixup for node and graph classificationWang, 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 |
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2021 Conference Publication CurGraph: curriculum learning for graph classificationWang, 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 |
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2021 Conference Publication Progressive supervision for node classificationWang, 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 |
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2021 Conference Publication Direct multi-view multi-person 3D pose estimationWang, 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. |
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2020 Conference Publication Detecting implementation bugs in graph convolutional network based node classifiersWang, 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 |
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2020 Conference Publication NodeAug: semi-supervised node classification with data augmentationWang, 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 |
