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2020 – today
- 2025
[j1]Xingcheng Xu, Yuanyuan Liu, Lu Zhu, Qian Xiao, Jingzhi Wang, Zhihui Gu:
SCM-YOLO-P: lightweight feature re-focusing pavement defect detection model. J. Electronic Imaging 34(5) (2025)- [c2]Xingcheng Xu, Zibo Zhao, Haipeng Zhang, Yanqing Yang:
Principled Understanding of Generalization for Generative Transformer Models in Arithmetic Reasoning Tasks. ACL (1) 2025: 4721-4747 - [i10]Haixing Gong, Zou Hui, Liang Xingzhou, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu:
DeepInnovation AI: A Global Dataset Mapping the AI innovation from Academic Research to Industrial Patents. CoRR abs/2503.09257 (2025) - [i9]Yicheng Bao, Guanxu Chen, Mingkang Chen, Yunhao Chen, Chiyu Chen, Lingjie Chen, Sirui Chen, Xinquan Chen, Jie Cheng, Yu Cheng, Dengke Deng, Yizhuo Ding, Dan Ding, Xiaoshan Ding, Yi Ding, Zhichen Dong, Lingxiao Du, Yuyu Fan, Xinshun Feng, Yanwei Fu, Yuxuan Gao, Ruijun Ge, Tianle Gu, Lujun Gui, Jiaxuan Guo, Qianxi He, Yuenan Hou, Xuhao Hu, Hong Huang, Kaichen Huang, Shiyang Huang, Yuxian Jiang, Shanzhe Lei, Jie Li, Lijun Li, Hao Li, Juncheng Li, Xiangtian Li, Yafu Li, Lingyu Li, Xueyan Li, Haotian Liang, Dongrui Liu, Qihua Liu, Zhixuan Liu, Bangwei Liu, Huacan Liu, Yuexiao Liu, Zongkai Liu, Chaochao Lu, Yudong Lu, Xiaoya Lu, Zhenghao Lu, Qitan Lv, Caoyuan Ma, Jiachen Ma, Xiaoya Ma, Zhongtian Ma, Lingyu Meng, Ziqi Miao, Yazhe Niu, Yuezhang Peng, Yuan Pu, Han Qi, Chen Qian, Xingge Qiao, Jingjing Qu, Jiashu Qu, Wanying Qu, Wenwen Qu, Xiaoye Qu, Qihan Ren, Qingnan Ren, Qingyu Ren, Jing Shao, Wenqi Shao, Shuai Shao, Dongxing Shi, Xin Song, Xinhao Song, Yan Teng, Xuan Tong, Yingchun Wang, Xuhong Wang, Shujie Wang, Xin Wang, Yige Wang, Yixu Wang, Yuanfu Wang, Futing Wang, Ruofan Wang, Wenjie Wang, Yajie Wang, Muhao Wei, Xiaoyu Wen
, Fenghua Weng, Yuqi Wu, Yingtong Xiong, Xingcheng Xu:
SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. CoRR abs/2507.18576 (2025) - [i8]Xingcheng Xu:
The Policy Cliff: A Theoretical Analysis of Reward-Policy Maps in Large Language Models. CoRR abs/2507.20150 (2025) - 2024
- [c1]Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang:
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models. IJCAI 2024: 6578-6586 - [i7]Yanqing Yang, Xingcheng Xu, Jinfeng Ge, Yan Xu:
Machine Learning for Economic Forecasting: An Application to China's GDP Growth. CoRR abs/2407.03595 (2024) - [i6]Zi Wang, Xingcheng Xu, Yanqing Yang, Xiaodong Zhu:
Optimal Trade and Industrial Policies in the Global Economy: A Deep Learning Framework. CoRR abs/2407.17731 (2024) - [i5]Xingcheng Xu, Zibo Zhao, Haipeng Zhang, Yanqing Yang:
Relating the Seemingly Unrelated: Principled Understanding of Generalization for Generative Models in Arithmetic Reasoning Tasks. CoRR abs/2407.17963 (2024) - 2023
- [i4]Xingcheng Xu:
Deep Generative Modeling with Backward Stochastic Differential Equations. CoRR abs/2304.04049 (2023) - [i3]Xingcheng Xu, Zihao Pan, Haipeng Zhang, Yanqing Yang:
It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models. CoRR abs/2308.08268 (2023) - [i2]Qin Chen, Jinfeng Ge, Huaqing Xie, Xingcheng Xu, Yanqing Yang:
Large Language Models at Work in China's Labor Market. CoRR abs/2308.08776 (2023) - 2022
- [i1]Xingcheng Xu:
GAMMT: Generative Ambiguity Modeling Using Multiple Transformers. CoRR abs/2211.09812 (2022)
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