Fengwei Yu

Orcid: 0000-0003-0352-8700

According to our database¹, Fengwei Yu authored at least 32 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Towards Frame Rate Agnostic Multi-object Tracking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2024

2023

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Exploiting Input Tensor Dynamics in Activation Checkpointing for Efficient Training on GPU.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Exploiting Subgraph Similarities for Efficient Auto-tuning of Tensor Programs.

[BibT_eX]

[DOI]

Proceedings of the 52nd International Conference on Parallel Processing, 2023

UniHCP: A Unified Model for Human-Centric Perceptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU.

[BibT_eX]

[DOI]

CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NNLQP: A Multi-Platform Neural Network Latency Query and Prediction System with An Evolving Database.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

[BibT_eX]

[DOI]

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

2021

INTERN: A New Learning Paradigm Towards General Vision.

[BibT_eX]

[DOI]

CoRR, 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

[BibT_eX]

[DOI]

CoRR, 2021

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Real World Robustness from Systematic Noise.

[BibT_eX]

[DOI]

Proceedings of the ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Differentiable Dynamic Wirings for Neural Networks.

[BibT_eX]

[DOI]

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

Incorporating Convolution Designs into Visual Transformers.

[BibT_eX]

[DOI]

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

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search.

[BibT_eX]

[DOI]

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

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing.

[BibT_eX]

[DOI]

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

Diversifying Sample Generation for Accurate Data-Free Quantization.

[BibT_eX]

[DOI]

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

2020

Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

Extremely Low-bit Convolution Optimization for Quantized Neural Network on Modern Computer Architectures.

[BibT_eX]

[DOI]

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

Towards Unified INT8 Training for Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Forward and Backward Information Retention for Accurate Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks.

[BibT_eX]

[DOI]

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

2016

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Fengwei Yu

Timeline

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