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胡庆浩副研究员
  • 电子邮箱:

    huqinghao2014@ia.ac.cn

  • 通讯地址:

    北京市海淀区中关村东路95号

  • 研究方向:

    深度神经网络轻量化,大模型高效计算

个人简介 :

胡庆浩,博士,现为中国科学院自动化研究所副研究员,研究领域包括深度神经网络轻量化,大模型高效计算、哈希等方向,在TNNLS、TMM、CVPR、ECCV、AAAI等国际期刊和会议发表论文30余篇,相关研究成果受到了学术界广泛关注与认可,截止目前Google Scholar引用2167次。主持国家自然科学基金青年基金、科技部2030新一代人工智能重大项目子课题、国家电网企业横向委托项目等科研项目,参与中科院战略先导、国家重点研发计划等多研发项目,现为中国图象图形学会会员、CSIG视觉大数据专委会委员。曾获2019年ICCV轻量化人脸识别挑战赛 第二名、2019年Nvidia 奖学金、2015年MSR-Bing 图像识别挑战赛第一名。

发表论文 :

  • Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng. FastGL: A GPU-Efficient Framework for Accelerating Sampling-based GNN Training at Large Scale. ACM ASPLOS 2024.
  • Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng. MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization. HPCA 2024.
  • Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng. A2Q:Aggregation-Aware Quantization for Graph Neural Networks. The International Conference on Learning Representations (ICLR)
  • Zhixiang Ye*, Qinghao Hu*, Tianli Zhao, Wangping Zhou, Jian Cheng. MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM International Conference on Multimedia(ACM MM) ,2023
  • Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang. Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. IEEE Winter Conference on Applications of Computer Vision (WACV),2023
  • Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng.PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerator.European Conference on Computer Vision (ECCV), 2022
  • Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu*, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang. Mixformer: Mixing features across windows and dimension. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2022
  • 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),  2021
  • Guan’An Wang, Qinghao Hu,Yang Yang,Jian Cheng, Zeng-Guang Hou. Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing.IEEE Transactions on Neural Networks and Learning Systems (TNNLS),2021
  • Xing Lan, Qinghao Hu, Jian Cheng.ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Transactions on Multimedia (TMM),2022
  • Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng. Training Binary Weight Networks via Semi-Binary Decomposition. European Conference on Computer Vision (ECCV), 2018
  • Qinghao Hu, Peisong Wang, Jian Cheng. From Hashing to CNNs: Training Binary Weight Networks via Hashing. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 2018
  • Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng. Two-Step Quantization for Low-bit Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2018)
  • Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu. Pseudo label based unsupervised deep discriminative hashing for image retrieval. ACM International Conference on Multimedia(ACM MM) 2017
  • Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng. Fast k-means for large scale clustering. The 26th ACM International Conference on Information and Knowledge Management(CIKM), 2017

获奖情况 :

[1] 2019年ICCV轻量化人脸识别挑战赛 第二名

[2] 2019年Nvidia 奖学金

[3] 2015年MSR-Bing 图像识别挑战赛第一名



高效智能计算与学习 地址:北京市海淀区中关村东路95号 邮箱:clab.ia.ac.cn 京ICP备05002829号-1