Yiyuan Yang (杨毅远)
Official Website

PhD Candidate, Department of Computer Science, University of Oxford

Research Interest | Education and Intern | Publications | Projects | Honors and Awards | Activities and Volunteering | Invited Talks and Lives

Email: yiyuan.yang@cs.ox.ac.uk (prior)        yyy1997sjz@gmail.com        yangyy19@tsinghua.org.cn
[Google Scholar] [ResearchGate] [GitHub] [Wechat] [Chinese Resume]

Research Interest

 I work in the field of Intelligent sensing systems, Time series, Reinforcement learning, Spatio-temporal data mining, Anomaly detection, Audio, Generative model, Machine learning, and Deep learning. Currently, I focus on the following research topics:

Education and Intern

Publications

Journals:

    [5] C. Gong, Y. Yang, H. Zhang, J. Meng, Y. Ma, S. Du, Y. Li, 'A Pipeline Intrusion Detection Method Based on Temporal Modeling and Hierarchical Classification in Optical Fiber Sensing,' IEEE Sensors Journal (IEEE SENS J), 2024. (Q1, IF=4.3, equal contribution)

    [4] C. Zhu, Y. Pu, Y. Yang, Z. Lyu, C. Li, Q. Yang, 'Localizing and tracking of in-pipe inspection robots based on distributed optical fiber sensing,' Advanced Engineering Informatics (AEI), 2024. (Q1, IF=8.8) [Link] [PDF]

    [3] Y. Yang, H. Zhang, Y. Li, 'Pipeline Safety Early Warning by Multi-feature-fusion CNN and LightGBM Analysis of Signals from Distributed Optical Fiber Sensors,' IEEE Transactions on Instrumentation and Measurement (IEEE T INSTRUM MEAS), 2021. (Q1, IF=5.6) [Link] [PDF] [BibTeX]

    [2] Y. Yang, H. Zhang, Y. Li, 'Long-Distance Pipeline Safety Early Warning: A Distributed Optical Fiber Sensing Semi-Supervised Learning Method,' IEEE Sensors Journal (IEEE SENS J), 2021. (Q1, IF=4.3) [Link] [PDF] [BibTeX]

    [1] Z.Xu, F. Wu, Y. Yang, Y. Li, 'ECT Attention Reverse Mapping algorithm: visualization of flow pattern heatmap based on convolutional neural network and its impact on ECT image reconstruction,' Measurement Science and Technology (MST), 2020. (Q2, IF=2.4) [Link] [PDF] [BibTeX]

Conferences:

    [9] Y. Yang, K. Zhou, N. Trigoni, A. Markham, 'SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification,' Proceeding of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024) , 2024. [Arxiv]

    [8] C.Zhu, Y.Yang, K. Yang, H. Zhang, Q. Yang, C. L. Philip Chen, 'AI-based Energy Transportation Safety: Pipeline Radial Threat Estimation using Intelligent Sensing System', Proceeding of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024. [Arxiv] [Code] [Public Data]

    [7] K.Zhou, J.Zhong, S.Shin, K.Lu, Y.Yang, A.Markham, N.Trigoni, 'DynPoint: Dynamic Neural Point For View Synthesis', Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), 2023. [ArXiv] [Code] [Poster]

    [6] Y.Yang, C.Zhang, T.Zhou, Q.Wen, L.Sun, 'DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection', Proc. 29th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2023), 2023. [ArXiv] [Code] [Video] [Poster] [Slides]

    [5] Y.Yang, R.Li, Q.Shi, X.Li, G.Hu, X.Li and M.Yuan, 'SGDP: A Stream-Graph Neural Network Based Data Prefetcher,' International Joint Conference on Neural Networks (IJCNN 2023) (Oral), 2023. [ArXiv] [PDF] [Code] [Slides]

    [4] X.Li, Q.Shi, G.Hu, L.Chen, H.Mao, Y.Yang, M.Yuan, J.Zeng and Z.Cheng, 'Block Access Pattern Discovery via Compressed Full Tensor Transformer,' 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021. [Link] [PDF]

    [3] Y. Yang, Y. Li, H. Zhang, 'Pipeline Safety Early Warning Method for Distributed Signal using Bilinear CNN and LightGBM,' Proceeding of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021) (Oral), 2021. [Link] [PDF] [BibTeX] [Poster] [Slides] [Video] [Picture_oral]

    [2] Y. Yang, Y. Li, T. Zhang, Y. Zhou, and H. Zhang, 'Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach,' Proceeding of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (Oral), 2020. [Link] [PDF] [BibTeX] [Poster] [Slides] [Video] [Picture_oral]

    [1] H. Zhang, Y. Yang, M. Yang, L. Min, Y. Li, X. Zheng, 'A Novel CNN Modeling Algorithm for the Instantaneous Flow Rate Measurement of Gas-liquid Multiphase Flow,' Proceedings of the 12th International Conference on Machine Learning and Computing, 2020. [Link] [PDF] [BibTeX]

Book:

PrePrint:

    [1] Z.Zhong, Z.Yu, Y.Yang, W.Wang, K.Yang, 'PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection,' 2024. [ArXiv]

Patents:

    [3] "A Patent on Time Series Anomaly Detection", a patent application.

    [2] Y. Yang, H. Zhang, Y. Li, 'A method for feature extraction of optical fiber warning signals for oil and gas long-distance pipelines', Chinese invention patents, 2021.

    [1] M. Zhang, G. Wu, Y. Li, Y. Yang, 'A complex multi-frequency real-time capacitance tomography imaging method based on multiple measurement vectors', Chinese invention patents, 2020.

Projects

Open-Source Projects:

Research Projects:

  • 2023, Conducted research on time-series anomaly detection for industry application in the Decision Intelligence Lab-Alibaba DAMO Academy.
  • 2021, Conducted research on workload I/O time-series prediction for storage systems in Decision Making & Reasoning Lab, Huawei Noah's Ark Lab. The work has the potential for practical implementation in the storage products of Huawei.
  • 2021, 'Long-distance Oil and Gas Transportation Pipeline Safety Early Warning System Based on Deep Learning Approach,' The XVII International Forum-Contest of Students and Young Researchers Topical Issues of Rational Use of Natural Resources, in Saint Petersburg, Russia, 2021. (Abstract & Oral & First prize) [Link] [PDF] [Certification] [Certification for Winner]
  • 2020, Teaching assistant of Nicholas Lane, the professor in the Department of Computer Science at the University of Cambridge, UK. The class name is 'Introduction to Deep Learning'. [Certification]
  • 2020, Teaching assistant of Rakesh Kumar, the professor of the Department of Electrical and Computer Engineering at the UIUC, USA. The class name is 'Artificial Intelligence for Undergraduate'. [Certification]
  • 2019-2022, Research on long-distance optical fiber safety monitoring and pipeline safety early warning technology in complex environments with PetroChina and Tsinghua University. The system has been used in a Chinese pipeline for about 2 years.[Picture]
  • 2020, Vehicle license plate recognition (VLPR) without DL and ML methods.
  • 2019, Inter-prediction for Multiview video coding by using Convex Optimization. [PDF] [Slides]
  • 2019, A project named 'Find-Future-Fun', using big data, AI and robot to accompany teenagers to grow up. [Video] [Picture]

Honors and Awards
  • 2023, 2022 Bestselling Book (Easy-RL：强化学习教程) and Influential Author, Epubit, PTPress.[Link][Picture1][Picture2][Certification][Trophy]
  • 2022, Clarendon Scholar, University of Oxford.
  • 2022, Outstanding Graduate, Beijing.
  • 2022, Outstanding Master's Thesis, Tsinghua University.
  • 2022, Outstanding Graduate, Department of Automation, Tsinghua University.
  • 2022, Internship First-class Scholarship, SIGS, Tsinghua University. (15,000 CNY)
  • 2022, Excellent book's author for 2022 Q1th in PTP, China. [Picture]
  • 2021, China National Scholarship.
  • 2021, Datawhale Contributor.
  • 2020, Kaggle Competitions Expert, Ranking Top 1,000 (0.67%).
  • 2019, Outstanding Graduate, Huazhong University of Science and Technology.
  • 2018, First Prize in the 13th National Student Smart Car Competition, Wireless Energy Saving Category (National Champion).
  • 2018, First-class (Grand prize) Goodix Scholarship （15,000 CNY）.
  • 2018, National Encouragement Scholarship, Ministry of Education in China.
  • 2017, First Prize in South China of the 12th National Student Smart Car Competition, Optoelectronic Balance Category.

Activities and Volunteering
  • 2024.03, Reviewer of TPAMI.
  • 2023.09, Program Committee Member of AAAI conference 2024.
  • 2023.09, Program Committee Member SIAM International Conference on Data Mining (SDM) 2024.
  • 2023.06, Program Committee Member NeurIPS 2023 Datasets and Benchmarks Track.
  • 2023.06, Program Committee Member 9th SIGKDD workshop on Mining and Learning from Time Series (MILETS).
  • 2023.03-Now, MCR Social Secretary in Merton College, University of Oxford.
  • 2023.02, PC Member ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2023.
  • 2023.02, TPC Member IEEE International Joint Conference on Neural Networks 2023.
  • 2023.01, Reviewer of IEEE/CAA Journal of Automatica Sinica.
  • 2022.10, Reviewer of AAAI conference 2023.
  • 2020, During the Covid-19 epidemic, I recorded an original song 'Into the Spring' with TAP Choir. [News]
  • 2019, Debate chairman of the Shenzhen government-sponsored university debate tournament. [Picture]
  • 2019, Member of the Tsinghua University Shenzhen TAP Choir, participating in the 'Ode to the Motherland' performance in Shenzhen (at Shenzhen Grand Theater). [Picture] [Picture]
  • 2018, Participants representing more than 100 universities took the oath at the 13th National Student Smart Car Competition South China Region. [News]
  • 2017, Top 10 Singers of the School of Artificial Intelligence and Automation, HUST. [Link]
  • 2015-2019, Member of the College's hosting team and hosted two welcome parties and a graduation party.
  • 2010, As a representative of middle school students from Shijiazhuang, Hebei Province, I went on a half-month government-to-government visit to the friendly cities of Nagano-ken, Japan.

Invited Talks and Lives