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] [LinkedIn] [Wechat] [Chinese Resume]

Research Interest

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

Education and Intern

Publications

Journals:

    [6] S. Du, H. Zhang, C. Gong, Y. Yang, X. Jiang, L. Zhou, T. Zhang, Y. Ma, J. Meng, Y. Li, 'A Pipeline Inspection Gauge Positioning Method Based on Distributed Fiber Optic Vibration Sensing,' IEEE Sensors Journal (IEEE SENS J), 2024. (Q1, IF=4.3) [Link]

    [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) [Link]

    [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:

    [12] C. Zhang, Y. Zhang, L. Peng, Q. Wen, Y. Yang, C. Fan, M. Jiang, L. Fan and L. Sun, 'Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud,' CIKM 2024 [Link]

    [11] Y. Yang, N. Trigoni, A. Markham, 'Pre-training Feature Guided Diffusion Model for Speech Enhancement,' Interspeech 2024 [Arxiv]

    [10] L Qian, Z Ibrahim, W Du, Y. Yang, R.JB Dobson, 'Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation,' IJCAI24 - AI4TS: AI for time series analysis workshop (IJCAI Workshop 2024) [Arxiv]

    [9] Y. Yang, K. Zhou, N. Trigoni, A. Markham, 'SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification,' ICASSP 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', AAAI 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', NeurIPS 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', KDD 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,' IJCNN 2023(Oral) [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,' CIKM 2021 [Link] [PDF]

    [3] Y. Yang, Y. Li, H. Zhang, 'Pipeline Safety Early Warning Method for Distributed Signal using Bilinear CNN and LightGBM,' ICASSP 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,' AAAI 2021 [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:

    [6] Z. Zhong, Z. Yu, X. Xi, Y. Xu, W. Cao, J. Chen, Y. Yang, K. Yang, 'SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection,' 2024. [ArXiv]

    [5] Y. Yang, Z. Wu, Y. Chu, Z. Chen, Z. Xu, Q. Wen, 'Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives,' 2024. [ArXiv]

    [4] Z. Z. Darban, Y. Yang, G. I. Webb, C. C. Aggarwal, Q. Wen, M. Salehi, 'DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series,' 2024. [ArXiv]

    [3] W. Du*, J. Wang*, L. Qian*, Y. Yang*, F. Liu, Z. Wang, Z. Ibrahim, H. Liu, Z. Zhao, Y. Zhou, W. Wang, K. Ding, Y. Liang, B. A. Prakash, Q. Wen, 'TSI-Bench: Benchmarking Time Series Imputation,' 2024. [ArXiv] [Code]

    [2] Y. Yang, M. Jin, H. Wen, C. Zhang, Y. Liang, L. Ma, Y. Wang, C. Liu, B. Yang, Z. Xu, J. Bian, S. Pan, Q. Wen, 'A Survey on Diffusion Models for Time Series and Spatio-Temporal Data,' 2024. [ArXiv] [Github Repo]

    [1] Z.Zhong, Z.Yu, Y.Yang, W.Wang, K.Yang, 'PatchAD: A Lightweight 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:

  • LeeDL-Tutorial: A Chinese deep learning tutorial and it has already collected 13,000 more stars and 2,900 forks on GitHub, which includes an an e-book and codes. Here are some links to our book. [Douban] [Dangdang] [Jingdong]
  • Easy-RL: A reinforcement learning tutorial and it has already collected 9,300 more stars and 1,900 forks on GitHub, which includes an e-book and an online tutorial. Also, there is an online tutorial collaboration with Baidu PaddlePaddle AI Studio, and more than 2,000 learners participated in this class. Here are some links to our book. [Douban] [Taobao] [Dangdang] [Jingdong]
    Our book topped the list of new computer books on Dangdang and the list of AI-field New books on Jingdong within ten days. The number of related tweet reads exceeded 100,000, and it was recommended to the libraries of the North China Electric Power University, Shanghai Ocean University, SIGS at Tsinghua University. Also, it is included in the National Library of China, Library of Tsinghua University, Library of Shanghai Jiao Tong University, Library of Zhejiang University, Library of Chinese Academy of Sciences, and so on. The electronic version has been downloaded over 10,000 times, and the paper version won the PTP key book selection and Excellent book for 2022 Q1th in PTP.
  • Academic Trends Analysis: A data-mining-based tutorial on the analysis of academic trends of arxiv platform. I am the main person in charge. Here is a video and a competition on Alibaba Tianchi platform. More than 4,300 teams participated in this competition. Here are some introductions about our tutorial. [Poster] [Link1] [Link2]
  • Ensemble Learning: An ensemble learning tutorial. There is a video of the case study and an introduction to our tutorial. [Link]

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
  • 2024.10, Program Committee Member of WWW 2025.
  • 2024.09, Reviewer of ACM Transactions on Multimedia Computing Communications and Applications.
  • 2024.07, Program Committee Member of AAAI 2025.
  • 2024.07, Reviewer of Journal of Medical Internet Research.
  • 2024.07, Reviewer of IEEE Transactions on Information Forensics & Security.
  • 2024.07, Program Committee Member of KDD 2024 workshop on mining and learning from time series.
  • 2024.06, Program Committee Member of NeurIPS 2024 Datasets and Benchmarks Track.
  • 2024.04-06, Teaching Assistant of ”Machine Learning” lecture at Department of Computer Science Oxford.
  • 2024.04-06, Teaching Assistant of ”Artificial Intelligence” lecture at Department of Computer Science Oxford.
  • 2024.04&2024.07, Reviewer of TKDE.
  • 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