I'm now a fifth-year PhD candidate at the National University of Singapore supervised by Prof. Dong Jin Song. Before that, I received my bachelor's degree in computer science at Fudan University in 2020.
My research interests span across various aspects of Data-Centric AI for machine learning, including data attribution, improving the safety and reliability of large language models (LLMs), and addressing data quality issues.
I'm open to discussion or collaboration. Feel free to reach out if you're interested in my research.
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[Email]
RECENT NEWS 🧅
- 11/2024. I will be joining NUS as a Research Fellow
- 05/2024. I become an MLE intern at ByteDance!
- 01/2024. I become a research intern at Lenovo working on AI Agent!
- 11/2023. I was honored to receive the Dean’s Graduate Award from NUS. Thanks Prof. Dong for the nomination and support!
- 07/2023. Our paper DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers has been accepted to ESEC/FSE 2023!
- 05/2023. Our paper Thompson Sampling with Less Exploration is Fast and Optimal has been accepted to ICML 2023!
- 09/2022. Our paper Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective has been accepted to NeurIPS 2022!
- 04/2022. Our paper Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training has been accepted to IJCAI 2022!
- 03/2022. Our paper Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach has been accepted to USENIX 2022!
- 02/2022. Our paper DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training has been accepted to AAAI22 with oral presentation (4%)!
PUBLICATIONS
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Xianglin Yang, Jin Song Dong.
Exploring the Evolution of Hidden Activations with Live-Update Visualization.
arXiv, 2024.
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Xianglin Yang, Yun Lin, Yifan Zhang, Linpeng Huang, Jin Song Dong, Hong Mei.
DeepDebugger: An Interactive Time-Travelling Debugging Approach for Deep Classifiers.
ESEC/FSE 2023 .
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Tianyuan Jin, Xianglin Yang, Xiaokui Xiao, Pan Xu.
Thompson Sampling with Less Exploration is Fast and Optimal.
ICML 2023 .
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Ruofan Liu, Yun Lin, Xianglin Yang, Jin Song Dong.
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective.
NeurIPS 2022 .
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Xianglin Yang, Yun Lin, Ruofan Liu, Jin Song Dong.
Temporality Spatialization: A Scalable and Faithful Time-Travelling Visualization for Deep Classifier Training.
IJCAI 2022 .
[code]
[website]
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Ruofan Liu, Yun Lin, Xianglin Yang, Siang Hwee Ng, Dinil Mon Divakaran, Jin Song Dong.
Inferring Phishing Intention via Webpage Appearance and Dynamics: A Deep Vision Based Approach.
USENIX Security 2022 .
[code]
[website]
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Xianglin Yang#, Yun Lin#, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, and Hong Mei.
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training.
AAAI 2022. [oral presentation, 4.5%].
[paper]
[video]
[code]
[website]
WORKING EXPERIENCE
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(Jun 2024 - Aug 2024) MLE Intern @ ByteDance, Shanghai, China
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(Jan 2024 - May 2024) Research Intern @ Lenovo, Beijing, China
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(Jul 2019 - Oct 2020) Research Assistent @ National University of Singapore, Singapore
EDUCATION
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(Aug 2020 - ) PhD candidate @ NUS, School of Computing
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(Sep 2016 - Jul 2020) B.S. @ Fudan University, School of Computer Science and Technology
AWARDS
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Dean's Graduate Research Excellence Award
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First prize in Research Prototype Competition in ChinaSoft with "Deep Classifier Oriented Interactive Debugger". video
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NUS SOC Research Achievement Award in Sem 2 AY2021/2022
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2nd Prize - Scholarship of Fudan University for Outstanding Students (15%) 2019-2020
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2nd Prize - Scholarship of Fudan University for Outstanding Students (15%) 2017-2018
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3rd Prize - Scholarship of Fudan University for Outstanding Students (30%) in 2017-2018
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1st Prize - The Preliminary Test of The 29th Chinese Chemistry Olympiad (Fujian) in 2015
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Rank 1 - 2013 National Chemistry Quality and Experiment Ability Competition for Junior Middle School Students (Xiamen)
CONTACT
Computing 2,
15 Computing Drive,
National University of Singapore,
Singapore, 117418