Xingyuan Bu

Orcid: 0000-0002-6445-4306

According to our database1, Xingyuan Bu authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.
CoRR, 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.
CoRR, 2024

2023
GAIA-Universe: Everything is Super-Netify.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

2022
Visual Encoding and Debiasing for CTR Prediction.
CoRR, 2022

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection.
CoRR, 2022

Visual Encoding and Debiasing for CTR Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
DETR for Pedestrian Detection.
CoRR, 2020

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning a robust representation via a deep network on symmetric positive definite manifolds.
Pattern Recognit., 2019

Deep convolutional network with locality and sparsity constraints for texture classification.
Pattern Recognit., 2019

Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019.
CoRR, 2019

2018
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance.
CoRR, 2018

2017
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds.
CoRR, 2017

2016
Attention Estimation for Input Switch in Scalable Multi-display Environments.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016


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