Xin Li

Senior Machine Learning Engineer

Qualcomm AI Research, USA

Biography

I am a Senior Machine Learning Engineer at Qualcomm AI Research, USA. Before joining Qualcomm, I worked at Wins Lab, Lehigh University under the advisement of Professor Mooi Choo Chuah.

Interests

Deep Learning
Computer Vision
Autonomous Driving
Software Engineering

Education

Ph.D. in Computer Science, [2015 - 2020]

Lehigh University
MEng in Software Engineering, [2012 - 2015]

Peking University
BEng in Software Engineering, [2008 - 2012]

Qingdao Technological University

Awards

🥈 Silver Medal in the Peking University/Baidu - Autonomous Driving competition. 01/2020.

🎖 Qualstar Award for the excellent work in driver monitoring system development (demoed on CES2020 and CVPR2020), Qualcomm. 01/2020.

🥇 No.1 in the Unrestricted Adversarial Example Challenge (hosted by Google). 01/2019-12/2019.

🥇 No.1 in the ApolloScape Trajectory Prediction competition. 10/2019.

🏆 Student Travel Grant from US National Science Foundation (NSF) to the IEEE INFOCOM 2017. 02/2017.

🏆 Gotshall Fellowship, Lehigh University. 09/2015 - 05/2016.

🥇 First Prize in the Shandong (China) Division of the “Challenge Cup” National College Student Curricular Academic Science and Technology Works Competition. 07/2011.

🥉 Third Prize in the National Finals (China) of the National Collegiate Programming Contest (C Programming Language Track). 07/2011.

🥇 First Prize in the Shandong (China) Division of the National Collegiate Programming Contest (C Programming Language Track). 05/2011.

🥉Bronze Medal in the Shandong (China) Division of the ACM International Collegiate Programming Contest. 05/2011.

Patents & Publications

Xiaowen Ying, Xin Li, Mooi Choo Chuah (2021). SRNet: Spatial Relation Network for Efficient Single Stage Instance Segmentation in Videos. 2021 ACM International Conference on Multimedia (ACMMM).

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Xin Li, Dawei Li (2021). GPFS: A Graph-based Human Pose Forecasting System for Smart Home with Online Learning. 2021 ACM Transactions on Sensor Networks (TOSN).

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Xiaowen Ying, Xin Li, Mooi Choo Chuah (2021). Weakly-supervised Object Representation Learning for Few-shot Semantic Segmentation. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

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Xin Li, Xiaowen Ying, Mooi Choo Chuah (2020). GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving. arXiv preprint.

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Bolan Jiang, Xin Li, Shuxue Quan, Yunke Pan (2020). Combining convolution and deconvolution for object detection. U.S. Patent.

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Xin Li, Xiaowen Ying, Mooi Choo Chuah (2019). GRIP: Graph-based Interaction-aware Trajectory Prediction. 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

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Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi (2019). DAC: Data-free Automatic Acceleration of Convolutional Networks. 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

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Xiaowen Ying, Xin Li, Mooi Choo Chuah (2018). LiveFace: A Multi-Task CNN for Fast Face-Authentication. 2018 IEEE International Conference on Machine Learning and Applications (ICMLA).

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Xin Li, Mooi Choo Chuah (2018). ReHAR: Robust and Efficient Human Activity Recognition. 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

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Xin Li, Mooi Choo Chuah (2017). SBGAR: Semantics based group activity recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (ICCV).

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Xin Li, Mooi Choo Chuah, Subhrajit Bhattacharya (2017). UAV assisted smart parking solution. International Conference on Unmanned Aircraft Systems (ICUAS).

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Xin Li, Qinghan Xue, Mooi Choo Chuah (2017). CASHEIRS: Cloud assisted scalable hierarchical encrypted based image retrieval system. INFOCOM 2017-IEEE Conference on Computer Communications (INFOCOM).

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