Qinghao Hu

50 papers A* 13A 2Journal 26Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual Assignment of labels for end-to-end fully convolutional object detection.
Pattern Recognit.
Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng
2026 J jnl
IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs.
CoRR
Meng Li, Peisong Wang, Yuantian Shao, Qinghao Hu, Hongjian Fang, Yifan Zhang, Zhihui Wei, Jian Cheng
2026 A* conf
MemeBQ: Memory Efficient Binary Quantization of LLMs.
AAAI
Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu
2026 J jnl
Towards efficient and accurate spiking neural networks via adaptive bit allocation.
Neural Networks
Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2025 — conf
LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning.
EMNLP (Findings)
Zhangming Li, Qinghao Hu, Yiqun Chen, Peisong Wang, Yifan Zhang, Jian Cheng
2025 A conf
SBQ: Exploiting Significant Bits for Efficient and Accurate Post-Training DNN Quantization.
DATE
Jiayao Ling, Gang Li, Qinghao Hu, Xiaolong Lin, Cheng Gu, Jian Cheng, Xiaoyao Liang
2025 J jnl
Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation.
CoRR
Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Gang Li, Peisong Wang, Jian Cheng
2024 J jnl
Does Pixel Value Represent Facial Landmark Well in Heatmap?
IEEE Trans. Circuits Syst. Video Technol.
Xing Lan, Jiayi Lyu, Kun Dong, Hanyu Jiang, Qinghao Hu, Jian Xue
2024 — conf
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.
ASPLOS (4)
Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024 J jnl
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.
CoRR
Zeyu Zhu, Peisong Wang, Qinghao Hu, Gang Li, Xiaoyao Liang, Jian Cheng
2024 A* conf
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.
HPCA
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2023 A* conf
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.
ICLR
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023 J jnl
A
CoRR
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
2023 J jnl
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment.
IEEE Trans. Multim.
Xing Lan, Qinghao Hu, Jian Cheng
2023 J jnl
ECBC: Efficient Convolution via Blocked Columnizing.
IEEE Trans. Neural Networks Learn. Syst.
Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng
2023 A* conf
MCUNeRF: Packing NeRF into an MCU with 1MB Memory.
ACM Multimedia
Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng
2023 J jnl
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.
CoRR
Zeyu Zhu, Fanrong Li, Gang Li, Zejian Liu, Zitao Mo, Qinghao Hu, Xiaoyao Liang, Jian Cheng
2023 J jnl
Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World.
CoRR
Xingting Yao, Qinghao Hu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng
2022 J jnl
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing.
IEEE Trans. Neural Networks Learn. Syst.
Guan'an Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou
2022 J jnl
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection.
CoRR
Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng
2022 A* conf
MixFormer: Mixing Features across Windows and Dimensions.
CVPR
Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang
2022 J jnl
MixFormer: Mixing Features across Windows and Dimensions.
CoRR
Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang
2022 — conf
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators.
ECCV (11)
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
2022 J jnl
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators.
CoRR
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
2022 J jnl
Soft Threshold Ternary Networks.
CoRR
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
2021 J jnl
Architecture Aware Latency Constrained Sparse Neural Networks.
CoRR
Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng
2021 — conf
Generative Zero-Shot Network Quantization.
CVPR Workshops
Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng
2021 J jnl
Generative Zero-shot Network Quantization.
CoRR
Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng
2021 J jnl
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap.
CoRR
Xing Lan, Qinghao Hu, Jian Cheng
2021 — conf
Revisting Quantization Error in Face Alignment.
ICCVW
Xing Lan, Qinghao Hu, Jian Cheng
2020 A* conf
ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets.
ACM Multimedia
Xing Lan, Qinghao Hu, Fangzhou Xiong, Cong Leng, Jian Cheng
2020 — conf
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.
ECCV (3)
Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng
2020 A* conf
Soft Threshold Ternary Networks.
IJCAI
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
2019 — conf
A System-Level Solution for Low-Power Object Detection.
ICCV Workshops
Fanrong Li, Yang Zhang, Jian Cheng, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng
2019 J jnl
A System-Level Solution for Low-Power Object Detection.
CoRR
Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng
2018 J jnl
DeepSearch: A Fast Image Search Framework for Mobile Devices.
ACM Trans. Multim. Comput. Commun. Appl.
Peisong Wang, Qinghao Hu, Zhiwei Fang, Chaoyang Zhao, Jian Cheng
2018 A* conf
From Hashing to CNNs: Training Binary Weight Networks via Hashing.
AAAI
Qinghao Hu, Peisong Wang, Jian Cheng
2018 J jnl
From Hashing to CNNs: Training BinaryWeight Networks via Hashing.
CoRR
Qinghao Hu, Peisong Wang, Jian Cheng
2018 J jnl
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst.
Jian Cheng, Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu
2018 J jnl
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks.
CoRR
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018 J jnl
Recent advances in efficient computation of deep convolutional neural networks.
Frontiers Inf. Technol. Electron. Eng.
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
2018 — conf
Semi-supervised Generative Adversarial Hashing for Image Retrieval.
ECCV (15)
Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou
2018 — conf
Training Binary Weight Networks via Semi-Binary Decomposition.
ECCV (13)
Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
2018 A* conf
Two-Step Quantization for Low-Bit Neural Networks.
CVPR
Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng
2017 A conf
Fast K-means for Large Scale Clustering.
CIKM
Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
2017 A* conf
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval.
ACM Multimedia
Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu
2016 A* conf
Quantized Convolutional Neural Networks for Mobile Devices.
CVPR
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
2016 A* conf
Shoot to Know What: An Application of Deep Networks on Mobile Devices.
AAAI
Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng
2015 A* conf
Learning Deep Features For MSR-bing Information Retrieval Challenge.
ACM Multimedia
Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng
2015 J jnl
Quantized Convolutional Neural Networks for Mobile Devices.
CoRR
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng