Education
Sep. 2018 - May 2023
Rutgers, The State University of New Jersey - New Brunswick. Piscataway, NJ
Ph.D. Candidate in Computer Science
- Supervised by Prof. Dimitris Metaxas
- PhD Thesis: "Deep Learning with Limited Data"
- GPA: 4.0/4.0
Sep. 2015 - Mar. 2018
Shanghai Jiao Tong University. Shanghai, China
M.E. in Control Engineering
- Supervised by Prof. Xu Zhao
- Master Thesis: "Subcategory-aware CNN for object detection and head pose estimation"
Sep. 2011 - Jun. 2015
University of Electronic Science and Technology of China. Chendu, China
B.E. in Automation Engineering
- GPA: 3.93/4.00
Experience
Feb. 2023 - Present
Optical Networking + Sensing, NECLA, Princeton, US.
Researcher
- Representation learning, transfer learning, domain adaptation
- Generative model, LLM/VLM
- Signal processing and sensing applications
Sep. 2022 - Jan. 2023
Optical Networking + Sensing, NECLA, Princeton, US.
Research Intern. Mentor: Dr. Shaobo Han
- Vehicle Run-off-road Detection by Fiber Optic Sensing with Anomaly Detection
May 2022 - Aug. 2022
Fashion Science, Amazon, Seattle, US.
Applied Scientist Intern. Mentor: Dr. Lian Xiong
- New Arrivals Popularity Prediction for Recommendation
Sep. 2021 - May 2022
Optical Networking + Sensing, NECLA, Princeton, US.
Research Intern. Mentor: Dr. Shaobo Han
- Zero-shot Domain Adaptation
May 2021 - Aug. 2021
Fashion Science, Amazon, Seattle, US.
Applied Scientist Intern. Mentor: Dr. Peng Yang
- Video Classification and Compilation
May 2020 - Aug. 2020
Optical Networking + Sensing, NECLA, Princeton, US.
Research Intern. Mentor: Dr. Shaobo Han
- Vehicle Run-off-road Detection by Fiber Optic Sensing and Machine Learning
Sep. 2018 - May 2021
Computer Science Department, Rutgers Univeristy. Piscataway, NJ, US.
Research Assistant. Superviser: Prof. Dimitris N. Metaxas.
- American Sign Language Recognition
- Model Robustness
- Automatic Data Augmentation
Sep. 2019 - May 2020
Computer Science Department, Rutgers Univeristy. Piscataway, NJ, US.
Teaching Assistant.
- Compilers (CS415) - Spring 2020
- Principles of Programming Languages (CS314) - Fall 2019
Research
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Deep Learning-Based Intrusion Detection and Impulsive Event Classification for Distributed Acoustic Sensing Across Telecom Networks
Shaobo Han, Ming-Fang Huang, Tingfeng Li, Jian Fang, Zhuocheng Jiang, Ting Wang Journal of Lightwave Technology (JLT), Vol. 42, No.12 (2024) 4167-4176
[Paper]
[Link]
[Bibtex]
@ARTICLE{10530902,
author={Han, Shaobo and Huang, Ming-Fang and Li, Tingfeng and Fang, Jian and Jiang, Zhuocheng and Wang, Ting},
journal={Journal of Lightwave Technology},
title={Deep Learning-Based Intrusion Detection and Impulsive Event Classification for Distributed Acoustic Sensing Across Telecom Networks},
year={2024},
volume={42},
number={12},
pages={4167-4176},
keywords={Cables;Sensors;Task analysis;Optical fiber cables;Optical fiber networks;Acoustics;Monitoring;Acoustic event classification;deep learning;distributed optical fiber sensing;gunshot detection;intrusion detection;machine learning;network field experiment},
doi={10.1109/JLT.2024.3401244}}
|
|
Learning Transferable Reward for Query Object Localization with Policy Adaptation
Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris Metaxas International Conference on Learning Representations (ICLR), 2022
[Paper]
[Slides]
[Talk]
[Code]
[Bibtex]
@inproceedings{
li2022learning,
title={Learning Transferable Reward for Query Object Localization with Policy Adaptation},
author={Tingfeng Li and Shaobo Han and Martin Renqiang Min and Dimitris N. Metaxas},
booktitle={International Conference on Learning Representations},
year={2022},
url={https://openreview.net/forum?id=92tYQiil17}
}
|
|
Vehicle Run-Off-Road Event Automatic Detection by Fiber Sensing Technology
Tingfeng Li, Yuheng Chen, Ming-Fang Huang, Shaobo Han, Ting Wang Optical Fiber Communications Conference and Exhibition (OFC), 2021
[Paper]
[Bibtex]
@INPROCEEDINGS{9489744,
author={Li, Tingfeng and Chen, Yuheng and Huang, Ming-Fang and Han,
Shaobo and Wang, Ting},
booktitle={2021 Optical Fiber Communications Conference and Exhibition (OFC)},
title={Vehicle Run-off-Road Event Automatic Detection by Fiber Sensing Technology},
year={2021}, volume={}, number={}, pages={1-3}, doi={}}
}
|
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AdaTransform: Adaptive Data Transformation
Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris Metaxas International Conference on Computer Vision (ICCV), 2019 (oral)
[Paper]
[Bibtex]
@InProceedings{Tang_2019_ICCV,
author = {Tang, Zhiqiang and Peng, Xi and Li, Tingfeng and Zhu, Yizhe and Metaxas, Dimitris N.},
title = {AdaTransform: Adaptive Data Transformation},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2019}
}
|
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Simultaneous Face Detection and Head Pose Estimation: A Fast and Unified Framework
Tingfeng Li, Xu Zhao Asian Conference on Computer Vision (ACCV), 2018 |
