Tingfeng Li (She/Her) I am a Researcher at NEC Laboratories America, where I work on zero-shot/few-shot learning, generative model, LLM/VLM with their applications to real-world problems. I obtained my Ph.D. degree in Department of Computer Science at Rutgers University, advised by Distinguished Professor Dimitris N. Metaxas. I earned my Master’s degree in ECE at Shanghai Jiao Tong University in Shanghai, China, where I worked with Professor Xu Zhao. |
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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
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[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}} |
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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
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[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} } |
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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 |
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Cost Efficient Subcategory-aware CNN for Object Detection
Tingfeng Li, Xu Zhao International Conference on Image Processing (ICIP), 2017 |