default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDQinghao Hu 0001
Person information
- affiliation: Institute of Automation, Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Qinghao Hu — disambiguation page
- Qinghao Hu 0003
![[0009-0001-0450-632X]](https://dblp.org/img/orcid-mark.12x12.png "0009-0001-0450-632X")
— Dalian University of Technology, Dalian, China - Qinghao Hu 0004 — MIT, Cambridge, MA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2026
[j8]Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng:
Dual Assignment of labels for end-to-end fully convolutional object detection. Pattern Recognit. 169: 111877 (2026)- 2025
- [c22]Jiayao Ling, Gang Li, Qinghao Hu, Xiaolong Lin, Cheng Gu, Jian Cheng, Xiaoyao Liang:
SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization. DATE 2025: 1-7 - [i16]Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng:
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation. CoRR abs/2506.23717 (2025) - 2024
- [j7]Xing Lan, Jiayi Lyu, Kun Dong, Hanyu Jiang, Qinghao Hu, Jian Xue:
Does Pixel Value Represent Facial Landmark Well in Heatmap? IEEE Trans. Circuits Syst. Video Technol. 34(12): 13016-13028 (2024) - [c21]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. ASPLOS (4) 2024: 94-110 - [c20]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: 124-138 - [i15]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. CoRR abs/2409.14939 (2024) - 2023
- [j6]Xing Lan, Qinghao Hu, Jian Cheng:
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Trans. Multim. 25: 1798-1809 (2023) - [j5]Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
ECBC: Efficient Convolution via Blocked Columnizing. IEEE Trans. Neural Networks Learn. Syst. 34(1): 433-445 (2023) - [c19]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks. ICLR 2023 - [c18]Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng:
MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM Multimedia 2023: 9082-9092 - [i14]Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR abs/2302.00193 (2023) - [i13]Xingting Yao, Qinghao Hu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng:
Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World. CoRR abs/2309.10987 (2023) - [i12]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. CoRR abs/2311.09775 (2023) - 2022
- [j4]Guan'an Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou:
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4110-4124 (2022) - [c17]Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang:
MixFormer: Mixing Features across Windows and Dimensions. CVPR 2022: 5239-5249 - [c16]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) 2022: 312-327 - [i11]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. CoRR abs/2204.01234 (2022) - [i10]Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang:
MixFormer: Mixing Features across Windows and Dimensions. CoRR abs/2204.02557 (2022) - [i9]Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR abs/2208.01944 (2022) - [i8]Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng:
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection. CoRR abs/2211.13859 (2022) - 2021
- [c15]Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-Shot Network Quantization. CVPR Workshops 2021: 3000-3011 - [c14]Xing Lan, Qinghao Hu, Jian Cheng:
Revisting Quantization Error in Face Alignment. ICCVW 2021: 1521-1530 - [i7]Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng:
Generative Zero-shot Network Quantization. CoRR abs/2101.08430 (2021) - [i6]Xing Lan, Qinghao Hu, Jian Cheng:
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap. CoRR abs/2104.03100 (2021) - [i5]Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng:
Architecture Aware Latency Constrained Sparse Neural Networks. CoRR abs/2109.00170 (2021) - 2020
- [c13]Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng:
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices. ECCV (3) 2020: 223-241 - [c12]Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng:
Soft Threshold Ternary Networks. IJCAI 2020: 2298-2304 - [c11]Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng:
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets. ACM Multimedia 2020: 2140-2148
2010 – 2019
- 2019
- [c10]Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng:
A System-Level Solution for Low-Power Object Detection. ICCV Workshops 2019: 2461-2468 - [i4]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. CoRR abs/1909.10964 (2019) - 2018
- [j3]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent advances in efficient computation of deep convolutional neural networks. Frontiers Inf. Technol. Electron. Eng. 19(1): 64-77 (2018) - [j2]Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu:
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4730-4743 (2018) - [j1]Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng:
DeepSearch: A Fast Image Search Framework for Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 6:1-6:22 (2018) - [c9]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI 2018: 3247-3254 - [c8]Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng:
Two-Step Quantization for Low-Bit Neural Networks. CVPR 2018: 4376-4384 - [c7]Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou:
Semi-supervised Generative Adversarial Hashing for Image Retrieval. ECCV (15) 2018: 491-507 - [c6]Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng:
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) 2018: 657-673 - [i3]Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu:
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR abs/1802.00939 (2018) - [i2]Qinghao Hu, Peisong Wang, Jian Cheng:
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR abs/1802.02733 (2018) - 2017
- [c5]Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng:
Fast K-means for Large Scale Clustering. CIKM 2017: 2099-2102 - [c4]Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu:
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Multimedia 2017: 1584-1590 - 2016
- [c3]Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng:
Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI 2016: 4399-4400 - [c2]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CVPR 2016: 4820-4828 - 2015
- [c1]Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng:
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia 2015: 169-172 - [i1]Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng:
Quantized Convolutional Neural Networks for Mobile Devices. CoRR abs/1512.06473 (2015)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-09-25 00:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
