Qinghao Hu

Orcid: 0000-0001-9458-0760

According to our database¹, Qinghao Hu authored at least 57 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Does Pixel Value Represent Facial Landmark Well in Heatmap?

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Deep Learning Workload Scheduling in GPU Datacenters: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., June, 2024

Multi-Sentence Complementarily Generation for Text-to-Image Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Multimodal Fusion Generative Adversarial Network for Image Synthesis.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale.

[BibT_eX]

[DOI]

CoRR, 2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism.

[BibT_eX]

[DOI]

CoRR, 2024

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding.

[BibT_eX]

[DOI]

CoRR, 2024

FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

TorchGT: A Holistic System for Large-Scale Graph Transformer Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2024

Characterization of Large Language Model Development in the Datacenter.

[BibT_eX]

[DOI]

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

ECBC: Efficient Convolution via Blocked Columnizing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2023

ATF: An Alternating Training Framework for Weakly Supervised Face Alignment.

[BibT_eX]

[DOI]

Xing Lan

Qinghao Hu

Jian Cheng

IEEE Trans. Multim., 2023

AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning.

[BibT_eX]

[DOI]

CoRR, 2023

Spiking NeRF: Making Bio-inspired Neural Networks See through the Real World.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication.

[BibT_eX]

[DOI]

CoRR, 2023

A<sup>2</sup>Q: Aggregation-Aware Quantization for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters.

[BibT_eX]

[DOI]

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

MCUNeRF: Packing NeRF into an MCU with 1MB Memory.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Master-Slave Control Strategy Applied in Microsurgical Robot.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision.

[BibT_eX]

[DOI]

CoRR, 2022

Primo: Practical Learning-Augmented Systems with Interpretable Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

MixFormer: Mixing Features across Windows and Dimensions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Architecture Aware Latency Constrained Sparse Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap.

[BibT_eX]

[DOI]

Xing Lan

Qinghao Hu

Jian Cheng

CoRR, 2021

Generative Zero-shot Network Quantization.

[BibT_eX]

[DOI]

CoRR, 2021

Characterization and prediction of deep learning workloads in large-scale GPU datacenters.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Revisting Quantization Error in Face Alignment.

[BibT_eX]

[DOI]

Xing Lan

Qinghao Hu

Jian Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Generative Zero-Shot Network Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

ATF: Towards Robust Face Alignment via Leveraging Similarity and Diversity across Different Datasets.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Soft Threshold Ternary Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A System-Level Solution for Low-Power Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AirFace: Lightweight and Efficient Model for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

DeepSearch: A Fast Image Search Framework for Mobile Devices.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2018

Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Recent advances in efficient computation of deep convolutional neural networks.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2018

From Hashing to CNNs: Training BinaryWeight Networks via Hashing.

[BibT_eX]

[DOI]

Qinghao Hu

Peisong Wang

Jian Cheng

CoRR, 2018

Semi-supervised Generative Adversarial Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Training Binary Weight Networks via Semi-Binary Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Two-Step Quantization for Low-Bit Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

From Hashing to CNNs: Training Binary Weight Networks via Hashing.

[BibT_eX]

[DOI]

Qinghao Hu

Peisong Wang

Jian Cheng

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Pseudo Label based Unsupervised Deep Discriminative Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Fast K-means for Large Scale Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Quantized Convolutional Neural Networks for Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Shoot to Know What: An Application of Deep Networks on Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Deep Features For MSR-bing Information Retrieval Challenge.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Qinghao Hu

Timeline

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