From ace113017975823b9a5fbca177ddf17d868d1007 Mon Sep 17 00:00:00 2001 From: manbo Date: Sun, 1 Feb 2026 11:46:16 +0800 Subject: [PATCH] Add: Methodology section 12 references --- arxiv-style/references.bib | 134 +++++++++++++++++++++++++++++++------ 1 file changed, 112 insertions(+), 22 deletions(-) diff --git a/arxiv-style/references.bib b/arxiv-style/references.bib index 32e75dd..5e033cb 100644 --- a/arxiv-style/references.bib +++ b/arxiv-style/references.bib @@ -1,27 +1,117 @@ -@inproceedings{kour2014real, - title={Real-time segmentation of on-line handwritten arabic script}, - author={Kour, George and Saabne, Raid}, - booktitle={Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on}, - pages={417--422}, - year={2014}, - organization={IEEE} +@inproceedings{vaswani2017attention, + title={Attention Is All You Need}, + author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\L}ukasz and Polosukhin, Illia}, + booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, + volume={30}, + year={2017}, + url={https://arxiv.org/abs/1706.03762} } -@inproceedings{kour2014fast, - title={Fast classification of handwritten on-line Arabic characters}, - author={Kour, George and Saabne, Raid}, - booktitle={Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of}, - pages={312--318}, - year={2014}, - organization={IEEE}, - doi={10.1109/SOCPAR.2014.7008025} +@inproceedings{ho2020denoising, + title={Denoising Diffusion Probabilistic Models}, + author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter}, + booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, + volume={33}, + pages={6840--6851}, + year={2020}, + url={https://arxiv.org/abs/2006.11239} } -@inproceedings{keshet2016prediction, - title={Prediction-Based, Prioritized Market-Share Insight Extraction}, - author={Keshet, Renato and Maor, Alina and Kour, George}, - booktitle={Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings 12}, - pages={81--94}, - year={2016}, - organization={Springer} +@inproceedings{austin2021structured, + title={Structured Denoising Diffusion Models in Discrete State-Spaces}, + author={Austin, Jacob and Johnson, Daniel D and Ho, Jonathan and Tarlow, Daniel and van den Berg, Rianne}, + booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, + volume={34}, + pages={17981--17993}, + year={2021}, + url={https://arxiv.org/abs/2107.03006} } + +@article{shi2024simplified, + title={Simplified and Generalized Masked Diffusion for Discrete Data}, + author={Shi, Juntong and Han, Ke and Wang, Zinan and Doucet, Arnaud and Titsias, Michalis K}, + journal={arXiv preprint}, + eprint={2406.04329}, + archivePrefix={arXiv}, + year={2024}, + url={https://arxiv.org/abs/2406.04329} +} + +@inproceedings{hang2023efficient, + title={Efficient Diffusion Training via Min-SNR Weighting Strategy}, + author={Hang, Tianyu and Gu, Shuyang and Li, Chen and Bao, Jianmin and Chen, Dong and Hu, Han and Geng, Xin and Guo, Boxin}, + booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, + pages={7407--7417}, + year={2023}, + doi={10.1109/ICCV51070.2023.00702}, + url={https://arxiv.org/abs/2303.09556} +} + +@inproceedings{kollovieh2023tsdiff, + title={Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting}, + author={Kollovieh, Marcel and Ansari, Abdul Fatir and Bohlke-Schneider, Michael and Fatir Ansari, Abdul and Salinas, David}, + booktitle={Advances in Neural Information Processing Systems (NeurIPS)}, + volume={36}, + year={2023}, + url={https://arxiv.org/abs/2307.11494} +} + +@article{sikder2023transfusion, + title={TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers}, + author={Sikder, M. F. and Ramachandranpillai, R. and Heintz, F.}, + journal={arXiv preprint}, + eprint={2307.12667}, + archivePrefix={arXiv}, + year={2023}, + url={https://arxiv.org/abs/2307.12667} +} + +@inproceedings{song2021score, + title={Score-Based Generative Modeling through Stochastic Differential Equations}, + author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben}, + booktitle={International Conference on Learning Representations (ICLR)}, + year={2021}, + url={https://arxiv.org/abs/2011.13456} +} + +@inproceedings{shi2025tabdiff, + title={TabDiff: A Mixed-type Diffusion Model for Tabular Data Generation}, + author={Shi, Juntong and Xu, Minkai and Hua, Harper and Zhang, Hengrui and Ermon, Stefano and Leskovec, Jure}, + booktitle={International Conference on Learning Representations (ICLR)}, + year={2025}, + url={https://arxiv.org/abs/2410.20626} +} + +@inproceedings{yuan2025ctu, + title={CTU-DDPM: Generating Industrial Control System Time-Series Data with a CNN-Transformer Hybrid Diffusion Model}, + author={Yuan, Yusong and Sha, Yun and Zhao, Wei and Zhang, Kun}, + booktitle={Proceedings of the 2025 International Symposium on Artificial Intelligence and Computational Social Sciences (ACM AICSS)}, + pages={123--132}, + year={2025}, + doi={10.1145/3776759.3776845}, + url={https://dl.acm.org/doi/10.1145/3776759.3776845} +} + +@misc{sha2026ddpm, + title={DDPM Fusing Mamba and Adaptive Attention: An Augmentation Method for Industrial Control Systems Anomaly Data}, + author={Sha, Yun and Yuan, Yusong and Wu, Yonghao and Zhao, Haidong}, + year={2026}, + month={jan}, + note={SSRN Electronic Journal}, + eprint={6055903}, + archivePrefix={SSRN}, + doi={10.2139/ssrn.6055903}, + url={https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055903} +} + +@techreport{nist2023sp80082, + title={Guide to Operational Technology (OT) Security}, + author={{National Institute of Standards and Technology}}, + institution={NIST}, + type={Special Publication}, + number={800-82 Rev. 3}, + year={2023}, + month={sep}, + doi={10.6028/NIST.SP.800-82r3}, + url={https://csrc.nist.gov/pubs/sp/800/82/r3/final} +} \ No newline at end of file