Yiyuan Yang · 杨毅远
Portrait of Yiyuan Yang

Yiyuan Yang杨毅远

Research Scientist Intern, Meta Superintelligence Labs

Ph.D. (D.Phil.) Candidate, Department of Computer Science, University of Oxford

Currently in Bellevue, WA, USA💼 On the Job Market

RG

yiyuan.yang@cs.ox.ac.uk (primary)·yyy1997sjz@gmail.com·yangyy19@tsinghua.org.cn

About Me

Yiyuan Yang is a D.Phil. (Ph.D.) candidate in Computer Science at the University of Oxford, advised by Prof. Niki Trigoni and Prof. Andrew Markham, and a Clarendon Scholar at Merton College; he passed his viva in August 2026. He is currently a Research Scientist Intern at Meta Superintelligence Labs in Bellevue, WA, working on RSI and multimodal LLMs. His research centers on trustworthy AI for temporal and acoustic data — from detection to decision, covering time-series analysis, anomaly detection and reasoning with LLMs, audio and speech processing, and real-world deployment in sensing systems.

His work has appeared in TKDE, CSUR, KDD, NeurIPS, ACL, AAAI, IJCAI, TNNLS, CIKM, ICASSP, and Interspeech, with over 2,300 citations. He is a core contributor to PyPOTS and the author of three books based on his tutorials, including 深度学习详解 (LeeDL-Tutorial) and Easy-RL; his open-source projects have gathered over 37,000 GitHub stars. His honors include the Chinese Government Award for Outstanding Self-financed Students Abroad (Class A Special Excellence, 2026), the Clarendon Scholarship, and recognition as a Most Anticipated Academic Rising Star at BAAI QingYuan InnoVibe 2026. He serves as Area Chair and as a reviewer for leading journals and conferences.

Before Oxford, he received his M.Eng. from Tsinghua University (Department of Automation) and his B.Eng. from Huazhong University of Science and Technology (Innovation Honors Class, School of Artificial Intelligence and Automation, and Qiming College). He has also interned at Microsoft (Applied Sciences Group and Microsoft Research), Alibaba DAMO Academy, and Huawei Noah's Ark Lab. In his free time, he enjoys singing and playing various sports.

2,300+Citations 18h-index 37,000+GitHub Stars 5Industry Internships

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    Research Interests

    • Spatio-Temporal Data MiningSpatio-temporal data mining and signal processing for real-world sensing systems.
    • Time Series & LLMsTime-series analysis, anomaly detection, and reasoning with large language models for decision support.
    • Audio & Multimodal LearningAcoustic scene understanding, speech enhancement, separation, and localization, and audio-centric multimodal learning.
    • Real-World AI DeploymentDeploying algorithms in real-world applications — efficient, robust, and fault-tolerant models for industrial sensing, monitoring, and production AI systems.
    I love collaborating with others! If you're interested in working together, feel free to reach out at yiyuan.yang@cs.ox.ac.uk — don't hesitate! 😊

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    Background

    Universities, research labs, and open-source communities I have been part of.

    University of OxfordUniversity of OxfordDepartment of Computer Science Tsinghua UniversityTsinghua UniversityDepartment of Automation HUSTHuazhong Univ. of Sci. & Tech.School of AI & Automation DatawhaleDatawhaleMember & contributor PyPOTSPyPOTSCore contributor MetaMetaSuperintelligence Labs MicrosoftMicrosoftApplied Sciences Group MicrosoftMicrosoftMicrosoft Research Alibaba DAMO AcademyAlibabaDAMO Academy Huawei Noah's Ark LabHuaweiNoah's Ark Lab
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    News

    All updates, newest first.

    • 🌐 Invited to serve as an Area Chair for The Web Conference (WWW) 2027.
    • 💼 Started my Research Scientist internship at Meta Superintelligence Labs in Bellevue, WA, working on RSI and multimodal LLMs.
    • 📄 From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining accepted at ICDM 2026.
    • 🎓 Milestone: Completed my D.Phil. (Ph.D.) viva at the University of Oxford!
    • 📢 Presented our hands-on tutorial End-to-End Learning for Partially-Observed Time Series with PyPOTS at KDD 2026 in Jeju, Korea.
    • 🏆 Award: Chinese Government Award for Outstanding Self-financed Students Abroad — Class A Special Excellence (国家优秀自费留学生奖学金·特别优秀奖), China Scholarship Council — no more than 20 recipients worldwide each year (US$10,000).
    • 🏆 Award: Named one of the Most Anticipated Academic Rising Stars (最受瞩目学术新星) at BAAI QingYuan InnoVibe 2026. [Link]
    • 📄 Geometry-Informed Distributed Acoustic Scene Understanding accepted at Interspeech 2026.
    • 🎤 Gave a talk on Time-Series Foundation Models and LLM-based Reasoning at Microsoft UK.
    • 📄 Time-RA (time series reasoning with LLM feedback) accepted to the Findings of ACL 2026.
    • 💼 Joined the Applied Sciences Group at Microsoft as an Applied Scientist Intern (Apr – Jul 2026).
    • 🏆 Award: Our fiddler-crab bioacoustics study in the Journal of Experimental Biology was shortlisted for the JEB Outstanding Paper Prize 2025.
    • 📄 Two papers accepted at NeurIPS 2025: ScatterAD and Target Speaker Extraction.
    • 💼 Research internship at Microsoft Research on adaptive speech separation in conversational scenarios (Jun – Aug 2025).
    • 📄 Time-MQA accepted at ACL 2025 (main conference), our multivariate time-series imputation survey at IJCAI 2025, and Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization at Interspeech 2025.
    • 📚 Our book 深度学习详解 (LeeDL-Tutorial) was selected as one of JD's 2024 Annual Best Books (overall Top 50) and an Epubit 2024 Annual Influential New Book.
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    Publications

    Full list on my Google Scholar profile. * denotes equal contribution or corresponding author.

    Conference Papers 20 entries

    • 20

      From Event Logs to Governed Action: A BlueSky Agenda for Agentic Process Mining

      Y. Yang, Z. Wu, Y. Chu, Z. Chen, Z. Xu, Q. Wen

      ICDM 2026 arXiv
    • 19

      Geometry-Informed Distributed Acoustic Scene Understanding

      Y. Yang, S. Xu, N. Trigoni, A. Markham

      Interspeech 2026 arXiv
    • 18

      End-to-End Learning for Partially-Observed Time Series with PyPOTS

      W. Du, Y. Yang, T. Zhan, Q. Wen

      KDD Tutorial 2026 arXiv
    • 17

      Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback

      Y. Yang, Z. Liu, L. Song, K. Ying, Z. Wang, T. Bamford, S. Vyetrenko, J. Bian, Q. Wen

      ACL Findings 2026 arXiv Code Dataset
    • 16

      ScatterAD: Temporal-Topological Scattering Mechanism for Time Series Anomaly Detection

      T. Yin, X. Zhang, S. Fu, Z. Zhang, L. Huang, Y. Yang, K. Yang, M. Yan

      NeurIPS 2025 arXiv Code
    • 15

      Target Speaker Extraction through Comparing Noisy Positive and Negative Audio Enrollments

      S. Xu, Y. Yang, N. Trigoni, A. Markham

      NeurIPS 2025 arXiv Code
    • 14

      OxBioZ: Wearable Continuous Bioimpedance Monitoring System and Multi-Activity Dataset with Physiological and Motion Signals

      X. Hou, Y. Yang, J. Beuchert, H. Kayan, Q. Xie, K. T. Ly, Q. Deng, N. Pham, A. Markham, N. Trigoni

      ACM SmartWear Workshop 20253rd ACM Workshop on Smart Wearable Systems and Applications, co-located with ACM MobiCom Link
    • 13

      Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization

      Y. Yang, S. Xu, N. Trigoni, A. Markham

      Interspeech 2025 arXiv
    • 12

      Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement

      Y. Kong*, Y. Yang*, Y. Hwang, W. Du, S. Zohren, Z. Wang, M. Jin, Q. Wen

      ACL Main 2025 arXiv Dataset
    • 11

      Deep Learning for Multivariate Time Series Imputation: A Survey

      J. Wang, W. Du, Y. Yang, L. Qian, W. Cao, K. Zhang, W. Wang, Y. Liang, Q. Wen

      IJCAI 2025 Link GitHub Repo
    • 10

      Advancing Multivariate Time Series Anomaly Detection: A Comprehensive Benchmark with Real-World Data from Alibaba Cloud

      C. Zhang, Y. Zhang, L. Peng, Q. Wen, Y. Yang, C. Fan, M. Jiang, L. Fan, L. Sun

      CIKM 2024 Link Code Dataset
    • 9

      Pre-training Feature Guided Diffusion Model for Speech Enhancement

      Y. Yang, N. Trigoni, A. Markham

      Interspeech 2024 arXiv
    • 8

      SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification

      Y. Yang, K. Zhou, N. Trigoni, A. Markham

      ICASSP 2024 arXiv
    • 7

      AI-based Energy Transportation Safety: Pipeline Radial Threat Estimation using Intelligent Sensing System

      C. Zhu, Y. Yang, K. Yang, H. Zhang, Q. Yang, C. L. Philip Chen

      AAAI 2024 arXiv
    • 6

      DynPoint: Dynamic Neural Point for View Synthesis

      K. Zhou, J. Zhong, S. Shin, K. Lu, Y. Yang, A. Markham, N. Trigoni

      NeurIPS 2023 arXiv Code Poster
    • 5

      DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

      Y. Yang, C. Zhang, T. Zhou, Q. Wen, L. Sun

      KDD 2023 arXiv Code Video Poster Slides
    • 4

      SGDP: A Stream-Graph Neural Network Based Data Prefetcher

      Y. Yang, R. Li, Q. Shi, X. Li, G. Hu, X. Li, M. Yuan

      IJCNN 2023 arXiv PDF Code Slides
    • 3

      Block Access Pattern Discovery via Compressed Full Tensor Transformer

      X. Li, Q. Shi, G. Hu, L. Chen, H. Mao, Y. Yang, M. Yuan, J. Zeng, Z. Cheng

      CIKM 2021 Link PDF
    • 2

      Pipeline Safety Early Warning Method for Distributed Signal using Bilinear CNN and LightGBM

      Y. Yang, Y. Li, H. Zhang

      ICASSP 2021 Link PDF Poster Slides Video
    • 1

      Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach

      Y. Yang, Y. Li, T. Zhang, Y. Zhou, H. Zhang

      AAAI 2021Oral Link PDF Poster

    Journal Articles 13 entries

    • 13

      PSEW-VLM: An Interactive Distributed Fiber Optic Sensing Model for Threat Identification and Decision-Making in Oil and Gas Pipelines

      B. Song, H. Zhang, H. Jiao, Y. Yang, Y. Li, L. Shao, Y. Ma

      IEEE Trans. on Instrumentation and Measurement · 2026Q1, IF = 7.0 Link
    • 12

      Enhanced Pipeline Radial Threat Monitoring System with Distributed Acoustic Sensing and Multi-View Information Fusion

      C. Zhu, Y. Pu, Y. Yang, Y. Ji, K. Li, X. Jiao

      Measurement · 2026Q1, IF = 5.6
    • 11

      Monitoring Landslide Disturbances using Distributed Acoustic Sensing under Extreme Weather Conditions

      C. Zhu, Y. Yang, K. Yang, W. Zhu, Q. Yang

      npj Natural Hazards · 2026Nature Portfolio
    • 10

      A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

      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

      ACM Computing Surveys (CSUR) · 2025Q1, IF = 30.4 arXiv GitHub Repo
    • 9

      Constraints on Percussive Seismic Signals in a Noisy Environment by European Fiddler Crabs, Afruca tangeri

      T. Mulder, Y. Yang, E. Morley, T. E. Miller, D. Hending, G. K. Taylor, B. Mortimer

      Journal of Experimental Biology (JEB) · 2025IF = 3.0★ JEB Outstanding Paper Prize (Shortlisted) 2025 Paper
    • 8

      PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

      Z. Zhong, Z. Yu, Y. Yang, W. Wang, K. Yang

      IEEE Transactions on Big Data · 2025Q1, IF = 5.7 Paper Code
    • 7

      SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection

      Z. Zhong, Z. Yu, X. Xi, Y. Xu, W. Cao, J. Chen, Y. Yang, K. Yang

      IEEE TNNLS · 2025Q1, IF = 9.7 Paper Code
    • 6

      DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series

      Z. Z. Darban, Y. Yang, G. I. Webb, C. C. Aggarwal, Q. Wen, M. Salehi

      IEEE TKDE · 2025Q1, IF = 9.1 Paper Code
    • 5

      A Pipeline Inspection Gauge Positioning Method Based on Distributed Fiber Optic Vibration Sensing

      S. Du, H. Zhang, C. Gong, Y. Yang, X. Jiang, L. Zhou, T. Zhang, Y. Ma, J. Meng, Y. Li

      IEEE Sensors Journal · 2024Q1, IF = 5.0 Link
    • 4

      A Pipeline Intrusion Detection Method Based on Temporal Modeling and Hierarchical Classification in Optical Fiber Sensing

      C. Gong*, Y. Yang*, H. Zhang, J. Meng, Y. Ma, S. Du, Y. Li

      IEEE Sensors Journal · 2024Q1, IF = 5.0 · equal contribution Link
    • 3

      Localizing and Tracking of In-Pipe Inspection Robots Based on Distributed Optical Fiber Sensing

      C. Zhu, Y. Pu, Y. Yang, Z. Lyu, C. Li, Q. Yang

      Advanced Engineering Informatics (AEI) · 2024Q1, IF = 11.5 Link PDF
    • 2

      Pipeline Safety Early Warning by Multi-feature-fusion CNN and LightGBM Analysis of Signals from Distributed Optical Fiber Sensors

      Y. Yang, H. Zhang, Y. Li

      IEEE Trans. on Instrumentation and Measurement · 2021Q1, IF = 7.0 Link PDF
    • 1

      Long-Distance Pipeline Safety Early Warning: A Distributed Optical Fiber Sensing Semi-Supervised Learning Method

      Y. Yang, H. Zhang, Y. Li

      IEEE Sensors Journal · 2021Q1, IF = 5.0 Link PDF

    Books 3 entries

    Joy-RL book cover

    Joy-RL: Reinforcement Learning Practical Tutorial

    Joy-RL：强化学习实践教程 · Posts & Telecom Press, 2025

    J. Jiang, Q. Wang, Y. Yang

    GitHub Repo E-book Code Jingdong
    LeeDL-Tutorial book cover

    LeeDL-Tutorial

    深度学习详解 · Posts & Telecom Press, 2024

    Q. Wang, Y. Yang, J. Jiang

    ★ JD 2024 Annual Best Books (overall Top 50, 京东2024年度好书) · Epubit 2024 Annual Influential New Book, AI category (异步社区年度影响力新书奖)

    GitHub Repo E-book Douban Dangdang Jingdong
    Easy-RL book cover

    Easy-RL: Reinforcement Learning Tutorial

    Easy-RL：强化学习教程（蘑菇书） · Posts & Telecom Press, 2022

    Q. Wang, Y. Yang, J. Jiang

    ★ Epubit 2022 Annual Bestselling New Book, AI category (异步社区年度畅销新书奖) · PTP Excellent Book of Q1 2022 · PTP Key Book Selection

    GitHub Repo Online Version E-book Douban Taobao Dangdang Jingdong

    Preprints 4 entries

    • 4

      Diversified Scaling Inference in Time Series Foundation Models

      R. Hua, Z. Liu, K. Zhang, Y. Yang*

      Preprint 2026 arXiv Code
    • 3

      PyPOTS: A Python Toolkit for Machine Learning on Partially-Observed Time Series

      W. Du, Y. Yang, L. Qian, J. Wang, Q. Wen

      Preprint 2025 arXiv Website Repo
    • 2

      Achieving Time Series Reasoning Requires Rethinking Model Design, Tasks Formulation, and Evaluation

      Y. Kong*, Y. Yang*, S. Wang, C. Liu, Y. Liang, M. Jin, S. Zohren, D. Pei, Y. Liu, Q. Wen

      Preprint 2025formerly "Position: Empowering Time Series Reasoning with Multimodal LLMs" arXiv Repo
    • 1

      TSI-Bench: Benchmarking Time Series Imputation

      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

      Preprint 2024 arXiv Code
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    Open-Source Projects

    Community projects with 37,000+ GitHub stars in total. Star counts update live.

    PyPOTS

    2,000+ 190+

    A machine learning ecosystem for unified time-series analysis. As a core contributor, I help build this open-source toolkit for modeling partially observed multivariate time series; it integrates 50+ SOTA algorithms across imputation, forecasting, classification, clustering, and anomaly detection.

    Over 2.6M PyPI downloads, with users from 200+ top universities and companies. Part of the PyTorch Ecosystem since 2023.

    Website GitHub

    LeeDL-Tutorial

    16,800+ 3,000+

    A Chinese deep learning tutorial (深度学习详解), including an e-book and code.

    The e-book has been downloaded 70,000+ times. The print edition topped JD's new-AI-book chart for about 30 days and was named an Epubit 2024 Annual Influential New Book and one of JD's 2024 Annual Best Books (overall Top 50).

    Douban Dangdang Jingdong

    Easy-RL

    14,700+ 2,200+

    A reinforcement learning tutorial (蘑菇书) with an e-book and an online tutorial, plus an online course with Baidu PaddlePaddle AI Studio that attracted 2,000+ learners.

    Topped the new-book charts for computer books on Dangdang and AI books on Jingdong within ten days, with related posts drawing 100,000+ reads. The book is held by the National Library of China and the libraries of Tsinghua University, Shanghai Jiao Tong University, Zhejiang University, the Chinese Academy of Sciences, and Merton College, Oxford, among others. The e-book has been downloaded 60,000+ times, and the print edition won the Epubit 2022 Annual Bestselling New Book Award and was selected as a PTP Key Book and a PTP Excellent Book of Q1 2022.

    Douban Taobao Dangdang Jingdong

    Academic Trends Analysis

    1,850+ 820+

    A data-mining tutorial on analyzing academic trends on arXiv, which I led. It includes a video and a competition on the Alibaba Tianchi platform that drew 4,300+ participating teams.

    Poster Link 1 Link 2

    Ensemble Learning

    1,850+ 820+

    An ensemble learning tutorial with a case-study video.

    Link
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    Invited Talks & Live Streams

    Invited talks, tutorials, interviews, and live streams, newest first.

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    Honors & Awards

    Fellowships, scholarships, competition prizes, and book awards, newest first. ★ marks major honors.

    • 2026★Chinese Government Award for Outstanding Self-financed Students Abroad — Class A Special Excellence Award (国家优秀自费留学生奖学金·特别优秀奖), China Scholarship Council · no more than 20 recipients worldwide per year · US$10,000 (Intro)
    • 2026★Most Anticipated Academic Rising Star, QingYuan InnoVibe 2026 (青源InnoVibe 2026——最受瞩目学术新星), Beijing Academy of Artificial Intelligence (BAAI) [Link]
    • 2026Google PhD Fellowship Nominee (nominated by the University of Oxford)
    • 2026JEB Outstanding Paper Prize 2025 (Shortlisted), Journal of Experimental Biology, The Company of Biologists
    • 20262025 Influential Author, Epubit, PTPress
    • 2025Interspeech 2025 Conference Travel Grant
    • 2025Graduate Research Grant, Merton College, University of Oxford
    • 20242024 Annual Influential New Book (深度学习详解) and Influential Author, Epubit, PTPress; one of JD's 2024 Annual Best Books (overall Top 50)
    • 20232022 Annual Bestselling New Book (Easy-RL：强化学习教程) and Influential Author, Epubit, PTPress [Link] [Picture 1] [Picture 2] [Certification] [Trophy]
    • 2022★Clarendon Scholar, University of Oxford
    • 2022★Outstanding Graduate, Beijing
    • 2022Outstanding Master's Thesis, Tsinghua University
    • 2022Outstanding Graduate, Department of Automation, Tsinghua University
    • 2022First-Class Internship Scholarship, SIGS, Tsinghua University (15,000 CNY)
    • 2022PTP Excellent Book Author, Q1 2022 [Picture]
    • 2021★China National Scholarship
    • 2021Datawhale Contributor
    • 2020National Second Prize, 17th National Postgraduate Mathematical Modeling Competition
    • 2020Second-Class Scholarship, Tsinghua University
    • 2020Kaggle Competitions Expert, top 1,000 worldwide (0.67%)
    • 2019Outstanding Graduate, Huazhong University of Science and Technology
    • 2018★First Prize (National Champion), 13th National Student Smart Car Competition, Wireless Energy Saving Category
    • 2018First-Class (Grand Prize) Goodix Scholarship (15,000 CNY)
    • 2018National Encouragement Scholarship, Ministry of Education of China
    • 2017First Prize in South China, 12th National Student Smart Car Competition, Optoelectronic Balance Category
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    Academic Service & Activities

    Area chair and reviewing duties, program committees, teaching, and community roles.

    Conference Reviewing & Committees

    Area Chair: The Web Conference (WWW 2027)
    Reviewer: NeurIPS (2023–2025) · AAAI (2023–2027) · ACL (2025) · KDD (2023–2024) · WWW (2025) · Interspeech (2026) · SLT (2026) · SDM (2024)
    Program Committee: 9th–11th SIGKDD Workshop on Mining and Learning from Time Series (MILETS)
    Technical Program Committee: IJCNN (2023–2025)

    Journal Reviewing 30+ journals

    • IEEE TPAMI
    • IEEE TKDE
    • IEEE TMC
    • ACM TKDD
    • IEEE TIFS
    • ACM TOS
    • IEEE TNNLS
    • ACM TOMM
    • ACM TIST
    • IEEE TCYB
    • IEEE TCSVT
    • IEEE TCAS-I
    • IEEE TII
    • IEEE IoT Journal
    • IEEE TITS
    • IEEE TSMC
    • IEEE TBD
    • IEEE SPL
    • IEEE JBHI
    • IEEE/CAA J. Automatica Sinica
    • Information Fusion
    • Pattern Recognition
    • Neural Networks
    • Neurocomputing
    • Knowledge-Based Systems
    • Signal Processing
    • Mechanical Systems and Signal Processing
    • Information Processing & Management
    • Applied Soft Computing
    • Engineering Applications of AI
    • Computer Networks
    • Ecological Informatics
    • Measurement
    • J. of Medical Internet Research

    Teaching

    • 2025.02 — Co-leader of the iECDT Deep Learning Course, University of Oxford
    • 2024.04 – 06 — Teaching Assistant, "Machine Learning", Department of Computer Science, University of Oxford
    • 2024.04 – 06 — Teaching Assistant, "Artificial Intelligence", Department of Computer Science, University of Oxford
    • 2020 — Teaching Assistant for Nicholas Lane's "Introduction to Deep Learning" course, University of Cambridge
    • 2020 — Teaching Assistant for Rakesh Kumar's "Artificial Intelligence for Undergraduates" course, UIUC

    Community & Leadership

    • 2023.03 – 2024.03 — MCR Social Secretary, Merton College, University of Oxford
    • 2020.06 – Now — Datawhale member (an open-source AI organization), helping data science enthusiasts get involved in the AI community
    • 2019 – 2022 — Member of the Tsinghua University Shenzhen TAP Choir
    • 2019 — Debate chair of the Shenzhen government-sponsored university debate tournament [Picture]
    • 2017 — Top 10 Singer of the School of Artificial Intelligence and Automation, HUST [Link]
    • 2015 – 2019 — Member of the college emcee team; hosted two welcome parties and a graduation gala
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    Education & Experience

    Degrees, research internships, and exchange, newest first.

    Education

    Internships & Exchange

    • 2026.10 – 2027.01
      Research Scientist Intern, Meta Superintelligence Labs
      Supervised by Dr. Yuanlu Xu · RSI and multimodal LLMs · Bellevue, WA, USA
    • 2026.04 – 2026.07
      Applied Scientist Intern, Applied Sciences Group, Microsoft
      Supervised by Dr. Eric Sommerlade · LLM-driven code generation that automatically produces explanatory videos · Reading, UK
    • 2025.06 – 2025.08
      Research Intern, Microsoft Research
      Supervised by Dr. Soumitro Chakrabarty · Adaptive speech separation in conversational scenarios · Munich, Germany
    • 2022.10 – 2023.02
      Research Intern, Alibaba DAMO Academy
      Supervised by Dr. Qingsong Wen and Dr. Liang Sun · Time-series anomaly detection — work that led to a granted patent and the DCdetector paper (KDD 2023) · Hangzhou, China
    • 2021.02 – 2021.08
      Research Intern, Noah's Ark Lab, Huawei
      Supervised by Dr. Xijun Li and Dr. Mingxuan Yuan · GNN-based AIOps prediction pipelines for large-scale storage systems · Shenzhen, China
    • 2019.01 – 2019.02
      Exchange Student, University of Cambridge
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