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2020 – today
- 2024
[j4]Cong Pan
, Junran Peng, Xingyuan Bu, Zhaoxiang Zhang:
Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9255-9271 (2024)- [c7]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:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. ACL (Findings) 2024: 6815-6839 - [c6]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) 2024: 7421-7454 - [c5]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. EMNLP (Findings) 2024: 12758-12786 - [i15]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:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. CoRR abs/2402.14660 (2024) - [i14]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR abs/2402.14762 (2024) - [i13]Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang:
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level. CoRR abs/2406.11817 (2024) - [i12]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i11]Yixin Jin, Wenjing Zhou, Meiqi Wang, Meng Li, Xintao Li, Tianyu Hu, Xingyuan Bu:
Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fields. CoRR abs/2406.18311 (2024) - [i10]Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng:
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. CoRR abs/2410.19720 (2024) - [i9]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:
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. CoRR abs/2411.00809 (2024) - 2023
- [j3]Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang:
GAIA-Universe: Everything is Super-Netify. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11856-11868 (2023) - 2022
- [c4]Guipeng Xv, Si Chen, Chen Lin, Wanxian Guan, Xingyuan Bu, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CIKM 2022: 4615-4619 - [i8]Weixin Feng, Xingyuan Bu, Chenchen Zhang, Xubin Li:
Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection. CoRR abs/2205.04072 (2022) - [i7]Si Chen, Chen Lin, Wanxian Guan, Jiayi Wei, Xingyuan Bu, He Guo, Hui Li, Xubin Li, Jian Xu, Bo Zheng:
Visual Encoding and Debiasing for CTR Prediction. CoRR abs/2205.04168 (2022) - 2021
- [c3]Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang:
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. CVPR 2021: 274-283 - [i6]Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang:
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs. CoRR abs/2106.11346 (2021) - 2020
- [c2]Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels. CVPR 2020: 9706-9715 - [i5]Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan, Junjie Yan:
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels. CoRR abs/2005.08455 (2020) - [i4]Matthieu Lin, Chuming Li, Xingyuan Bu, Ming Sun, Chen Lin, Junjie Yan, Wanli Ouyang, Zhidong Deng:
DETR for Pedestrian Detection. CoRR abs/2012.06785 (2020)
2010 – 2019
- 2019
- [j2]Xingyuan Bu, Yuwei Wu, Zhi Gao, Yunde Jia:
Deep convolutional network with locality and sparsity constraints for texture classification. Pattern Recognit. 91: 34-46 (2019) - [j1]Zhi Gao, Yuwei Wu, Xingyuan Bu, Tan Yu, Junsong Yuan, Yunde Jia:
Learning a robust representation via a deep network on symmetric positive definite manifolds. Pattern Recognit. 92: 1-12 (2019) - [i3]Xingyuan Bu, Junran Peng, Changbao Wang, Cunjun Yu, Guoliang Cao:
Learning an Efficient Network for Large-Scale Hierarchical Object Detection with Data Imbalance: 3rd Place Solution to Open Images Challenge 2019. CoRR abs/1910.12044 (2019) - 2018
- [i2]Yuan Gao, Xingyuan Bu, Yang Hu, Hui Shen, Ti Bai, Xubin Li, Shilei Wen:
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance. CoRR abs/1810.06208 (2018) - 2017
- [i1]Zhi Gao, Yuwei Wu, Xingyuan Bu, Yunde Jia:
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds. CoRR abs/1711.06540 (2017) - 2016
- [c1]Xingyuan Bu, Mingtao Pei, Yunde Jia:
Attention Estimation for Input Switch in Scalable Multi-display Environments. ICONIP (4) 2016: 329-336
Coauthor Index
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