冷聪，中科方寸知微（南京）科技有限公司总经理。2011年获得中南大学学士学位，2016年获得中国科学院自动化研究所博士学位。中国科学院自动化研究所模式识别国家重点实验室副研究员，中国科学院院长奖获得者。主要从事机器学习、深度学习、人工智能芯片设计、视觉大模型、模型量化加速等方面的研究。
    2015年任百度大数据算法顾问
    2016年至2018年任阿里巴巴达摩院高级算法专家
    2018年起任中国科学院自动化研究所模式识别国家重点实验室副研究员
    2020年8月担任中科南京人工智能创新研究院副院长，专注于人工智能应用领域的算法创新研究和人工智能核心平台研究。
    2021年7月至今被聘为中科方寸知微（南京）科技有限公司总经理。

机器学习、深度学习、人工智能芯片设计、视觉大模型、模型量化加速

1. 科技部2030“新一代人工智能”重大项目, 核心骨干,2020.07-2023.06
2. 面向高时空分辨率脑机接口编解码
处理的智能芯片与系统研发，江苏省科技计划项目，子课题负责人，2021.06-2025.06
3. 决策大模型的电力行业适配及应用
技术研发，子课题负责人，2023.09-2027.09

[1] C Leng, J Wu, J Cheng, X Zhang, H Lu. Hashing for distributed data. International Conference on Machine Learning (ICML), 2015.
[2] Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu. Online Sketching Hashing. CVPR 2015.[code]
[3] Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng. Learning Deep Features for MSR-Bing Information Retrieval Challenge. ACM Multimedia 2015. (Ranked the 1st place on Visual Recognition task and 3rd place on Image Retrieval task)
[4] J Wu, C Leng, Y Wang, Q Hu, J Cheng. Quantized convolutional neural networks for mobile devices. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
[5] Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng. Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI 2016 (Demo track).
[6] Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu. Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol.29, No.10, pp.4730-4743, 2018.
[7] C Leng, Z Dou, H Li, S Zhu, R Jin. Extremely low bit neural network: Squeeze the last bit out with admm Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2018
[8] Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng. A System-Level Solution for Low-Power Object Detection. ICCV 2019 Workshop on Low-Power Computer Vision.
[9] Gang Li, Peisong Wang, Zejian Liu, Cong Leng, Jian Cheng. Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations. DATE 2020.
[10] Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng. ECBC: Efficient Convolution via Blocked Columnizing. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), in press,2022.

2023年 国家电网力科学技术进步奖一等奖
2023年 中国电子学会科学技术奖二等奖

压缩图像超分方法、图像压缩方法及系统，CN202211276433.0
一种基于图像去噪思想的图像压缩及滤镜去除方法及系统，CN202211270285.1
Deep Convolutional Neural Network Acceleration and Compression method based on parameter Quantization, US15/753520