Biography :

Dr. Qinghao Hu is currently an associate professor at the Institute of Automation, Chinese Academy of Sciences. His research areas include lightweight deep neural networks, efficient large model computing, hashing, etc. He has published over 30 papers in international journals and conferences such as TNNLS, TMM, CVPR, ECCV, AAAI, etc. His research achievements have received extensive attention and recognition from the academic community. As of now, he has over 2,100 citations on Google Scholar. He has presided over several scientific research projects, including the National Natural Science Foundation of China (Grant No..62106267), sub-project of National Key R&D Program of China (2022ZD0116406), the State Grid Corporation Scientific  Project, etc. Currently he is a member of the China Society for Image and Graphics and a committee member of the Big Visual Data of CSIG. He was awarded second place in the ICCV 2019 Lightweight Face Recognition Challenge, the 2019 Nvidia Scholarship, and first place in the 2015 MSR-Bing Image Recognition Challenge.

Publications :

• 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

Awards :

[1] Second place in the 2019 ICCV Lightweight Face Recognition Challenge
[2] 2019 Nvidia Scholarship
[3] First place in the 2015 MSR Bing Image Recognition Challenge