Bo Zhang

Orcid: 0000-0003-0564-617X

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


According to our database1, Bo Zhang authored at least 39 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:

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Bibliography

2024
Integer Scale: A Free Lunch for Faster Fine-grained Quantization of LLMs.
CoRR, 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

Norm Tweaking: High-performance Low-bit Quantization of Large Language Models.
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
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 21st Annual Conference of the International Speech Communication Association, 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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