Xingyuan Bu

According to our database, Xingyuan Bu authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels.

Cong Pan, Junran Peng, Xingyuan Bu, Zhaoxiang Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment.

Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng

CoRR, 2024

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng

CoRR, 2024

Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields.

Yixin Jin, Wenjing Zhou, Meiqi Wang, Meng Li, Xintao Li, Tianyu Hu, Xingyuan Bu

CoRR, 2024

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level.

Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang

CoRR, 2024

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

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

CoRR, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, ZhiqiBai ZhiqiBai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

GAIA-Universe: Everything is Super-Netify.

Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang

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

2022

Visual Encoding and Debiasing for CTR Prediction.

Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng

CoRR, 2022

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection.

Weixin Feng, Xingyuan Bu, Chenchen Zhang, Xubin Li

CoRR, 2022

Visual Encoding and Debiasing for CTR Prediction.

Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng

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.

Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang

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

2020

DETR for Pedestrian Detection.

Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng

CoRR, 2020

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels.

Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan

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.

Zhi Gao, Yuwei Wu, Xingyuan Bu, Tan Yu, Junsong Yuan, Yunde Jia

Pattern Recognit., 2019

Deep convolutional network with locality and sparsity constraints for texture classification.

Xingyuan Bu, Yuwei Wu, Zhi Gao, Yunde Jia

Pattern Recognit., 2019

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

Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao

CoRR, 2019

2018

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

Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen

CoRR, 2018

2017

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

Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia

CoRR, 2017

2016

Attention Estimation for Input Switch in Scalable Multi-display Environments.

Xingyuan Bu, Mingtao Pei, Yunde Jia

Proceedings of the Neural Information Processing - 23rd International Conference, 2016