Qinghao Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 61

Top Topics

Quantization Error

Weakly Supervised

Image Synthesis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. 56 (6) (2024)
Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, YingTong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun
InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR (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)
Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. CoRR (2024)
Liang Zhao, Qinghao Hu, Xiaoyuan Li, Jingyuan Zhao
Multimodal Fusion Generative Adversarial Network for Image Synthesis. IEEE Signal Process. Lett. 31 (2024)
Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW (2024)
Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. NSDI (2024)
Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR (2024)
Liang Zhao, Pingda Huang, Tengtuo Chen, Chunjiang Fu, Qinghao Hu, Yangqianhui Zhang
Multi-Sentence Complementarily Generation for Text-to-Image Synthesis. IEEE Trans. Multim. 26 (2024)
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 (2023)
Xing Lan, Qinghao Hu, Jian Cheng
ATF: An Alternating Training Framework for Weakly Supervised Face Alignment. IEEE Trans. Multim. 25 (2023)
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)
Xinbo Chen, Sibo Hao, Yue Wang, Boyi Zhang, Haoshuang Su, Yong Cao, Di Cui, Qinghao Hu, Haoyu Wang, Mingchuan Zhou
Master-Slave Control Strategy Applied in Microsurgical Robot. ICARM (2023)
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) (2023)
Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) (2023)
Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR (2023)
Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. WACV (2023)
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 (2023)
Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng
Q: Aggregation-Aware Quantization for Graph Neural Networks. CoRR (2023)
Zhixiang Ye, Qinghao Hu, Tianli Zhao, Wangping Zhou, Jian Cheng
MCUNeRF: Packing NeRF into an MCU with 1MB Memory. ACM Multimedia (2023)
Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI (2023)
Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR (2023)
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators. ECCV (11) (2022)
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)
Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR (2022)
Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang
MixFormer: Mixing Features across Windows and Dimensions. CoRR (2022)
Yiqun Chen, Qiang Chen, Qinghao Hu, Jian Cheng
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection. CoRR (2022)
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) (2022)
Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. CoRR (2022)
Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. CoRR (2022)
Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang
Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX Annual Technical Conference (2022)
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
Soft Threshold Ternary Networks. CoRR (2022)
Xiangyu He, Qinghao Hu, Peisong Wang, Jian Cheng
Generative Zero-shot Network Quantization. CoRR (2021)
Xing Lan, Qinghao Hu, Jian Cheng
Revisting Quantization Error in Face Alignment. ICCVW (2021)
Xing Lan, Qinghao Hu, Jian Cheng
HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap. CoRR (2021)
Xiangyu He, Jiahao Lu, Weixiang Xu, Qinghao Hu, Peisong Wang, Jian Cheng
Generative Zero-Shot Network Quantization. CVPR Workshops (2021)
Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR (2021)
Tianli Zhao, Qinghao Hu, Xiangyu He, Weixiang Xu, Jiaxing Wang, Cong Leng, Jian Cheng
Architecture Aware Latency Constrained Sparse Neural Networks. CoRR (2021)
Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC (2021)
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
Soft Threshold Ternary Networks. IJCAI (2020)
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)
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)
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 (2019)
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)
Xianyang Li, Feng Wang, Qinghao Hu, Cong Leng
AirFace: Lightweight and Efficient Model for Face Recognition. ICCV Workshops (2019)
Qinghao Hu, Gang Li, Peisong Wang, Yifan Zhang, Jian Cheng
Training Binary Weight Networks via Semi-Binary Decomposition. ECCV (13) (2018)
Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu
Recent Advances in Efficient Computation of Deep Convolutional Neural Networks. CoRR (2018)
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) (2018)
Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou
Semi-supervised Generative Adversarial Hashing for Image Retrieval. ECCV (15) (2018)
Qinghao Hu, Peisong Wang, Jian Cheng
From Hashing to CNNs: Training BinaryWeight Networks via Hashing. CoRR (2018)
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) (2018)
Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng
Two-Step Quantization for Low-Bit Neural Networks. CVPR (2018)
Qinghao Hu, Peisong Wang, Jian Cheng
From Hashing to CNNs: Training Binary Weight Networks via Hashing. AAAI (2018)
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) (2018)
Qinghao Hu, Jiaxiang Wu, Jian Cheng, Lifang Wu, Hanqing Lu
Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval. ACM Multimedia (2017)
Qinghao Hu, Jiaxiang Wu, Lu Bai, Yifan Zhang, Jian Cheng
Fast K-means for Large Scale Clustering. CIKM (2017)
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
Quantized Convolutional Neural Networks for Mobile Devices. CVPR (2016)
Jiaxiang Wu, Qinghao Hu, Cong Leng, Jian Cheng
Shoot to Know What: An Application of Deep Networks on Mobile Devices. AAAI (2016)
Qiang Song, Sixie Yu, Cong Leng, Jiaxiang Wu, Qinghao Hu, Jian Cheng
Learning Deep Features For MSR-bing Information Retrieval Challenge. ACM Multimedia (2015)
Jiaxiang Wu, Cong Leng, Yuhang Wang, Qinghao Hu, Jian Cheng
Quantized Convolutional Neural Networks for Mobile Devices. CoRR (2015)