I am currently one researcher and engineering in Qualcomm AI, mainly focusing on diverse AI-related topics, including LVM/VLM and other generative multi-modality models, model quantization/compression or other model efficient methods, Efficient finetuning, and Agent or other edge application. Propose the ideas and implement them on hands, to accelerate the deployment of the AI.
Previously, I got the BS/PhD degrees from BUPT in 2011/2017, and fortunately, was advised by Prof. Daoben Li, and Prof. Yingmin Wang. Meanwhile, from 2015 to 2017, I was as visiting scholar, learning at WNCG lab in UT Austin with Prof. Andrews Jeffrey
Researcher, AI research center, Qualcomm, WRD, Beijing China, (July.2017-Now)
Engineer Intern, Innovation center, Datang Telecom Technology, Beijing China, (Nov.2013-Aug.2015)
Research Intern, Hitachi (China) Research & Development Corporation, Beijing China, (Dec.2011-May.2012)
Research Intern, Beijing Tsingshen Tech. Developing Center, Beijing China, (Feb. 2011-Oct.2011)
Wentao Zhu, Zhining Zhang, Yuwei Ren, Yin Huang, Hao Xu, Yizhou Wang."Embodied Representation Alignment with Mirror Neurons." IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Ren, Yuwei, et al. "Speaker Diaphragm Excursion Prediction: deep attention and online adaptation." ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.
van Baalen, Mart, Andrey Kuzmin, Suparna S. Nair, Yuwei Ren, Eric Mahurin, Chirag Patel, Sundar Subramanian et al. "FP8 versus INT8 for efficient deep learning inference." arXiv preprint arXiv:2303.17951 (2023).
Kuzmin A, Van Baalen M, Ren Y, et al. FP8 Quantization: The Power of the Exponent[J]. arXiv preprint arXiv:2208.09225, 2022, NeurlPS 2022
Yuwei Ren, Jiuyuan Lu, Yin Huang and et al. ” Hand gesture recognition using 802.11ad mmWave sensor in the mobile device”, WCNC 2021
Yuwei Ren，Yingzhe Li，Can Qi. "K-tier Heterogeneous Cellular Networks with General Path-loss Exponents", IEEE Communications Letters.
Other more.
Yuwei, R. E. N., H. A. O. Chenxi, and W. U. Liangming. "Out of distribution samples reporting for neural network optimization." U.S. Patent Application No. 18/276,438.
Yuwei, R. E. N., et al. "Machine learning model reporting, fallback, and updating for wireless communications." U.S. Patent Application No. 18/546,568.
Yuwei, R. E. N., H. A. O. Chenxi, and W. U. Liangming. "Loss reporting for distributed training of a machine learning model." U.S. Patent Application No. 18/835,792.
Zheng, Ruiming, et al. "Artificial intelligence based discontinuous reception configuration." U.S. Patent Application No. 18/872,742.
and more other 100 granted patents
2015 Graduate National Scholarship Award (Top scholarship for graduate students in China)
2013 Second prize of 5th Ericsson Innovation Contest (as leader, 2/50 teams)