Bo Zhang

Orcid: 0000-0003-0564-617X

Affiliations:
  • Meituan
  • Xiaomi AI Lab, Beijing, China (former)


According to our database1, Bo Zhang authored at least 38 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.
CoRR, 2024

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection.
CoRR, 2024

Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Make RepVGG Greater Again: A Quantization-Aware Approach.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.
CoRR, 2023

Lenna: Language Enhanced Reasoning Detection Assistant.
CoRR, 2023

Masked Autoencoders Are Robust Neural Architecture Search Learners.
CoRR, 2023

A Speed Odyssey for Deployable Quantization of LLMs.
CoRR, 2023

FPTQ: Fine-grained Post-Training Quantization for Large Language Models.
CoRR, 2023

FastPillars: A Deployment-friendly Pillar-based 3D Detector.
CoRR, 2023

YOLOv6 v3.0: A Full-Scale Reloading.
CoRR, 2023

Conditional Positional Encodings for Vision Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MixPath: A Unified Approach for One-shot Neural Architecture Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Make RepVGG Greater Again: A Quantization-aware Approach.
CoRR, 2022

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications.
CoRR, 2022

EAPruning: Evolutionary Pruning for Vision Transformers and CNNs.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Unified Mixture-View Framework for Unsupervised Representation Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Twins: Revisiting Spatial Attention Design in Vision Transformers.
CoRR, 2021

Do We Really Need Explicit Position Encodings for Vision Transformers?
CoRR, 2021

Twins: Revisiting the Design of Spatial Attention in Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators.
Proceedings of the 9th International Conference on Learning Representations, 2021

SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AutoKWS: Keyword Spotting with Differentiable Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Noisy Differentiable Architecture Search.
CoRR, 2020

MixPath: A Unified Approach for One-shot Neural Architecture Search.
CoRR, 2020

Neural Architecture Search on Acoustic Scene Classification.
Proceedings of the Interspeech 2020, 2020

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

MoGA: Searching Beyond Mobilenetv3.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020

Multi-objective Reinforced Evolution in Mobile Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Accurate and Efficient Single Image Super-Resolution with Matrix Channel Attention Network.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
ScarletNAS: Bridging the Gap Between Scalability and Fairness in Neural Architecture Search.
CoRR, 2019

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search.
CoRR, 2019

A Matrix-in-matrix Neural Network for Image Super Resolution.
CoRR, 2019

Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search.
CoRR, 2019

Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search.
CoRR, 2019


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