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2020 – today
- 2026
[j2]Lu Zhu
, Zhihui Gu, Kai Zhu, Xingcheng Xu, Jingzhi Wang, Yuanyuan Liu:
A Real-Time Automated Library Inventory System Based on Edge-Cloud Collaboration. Concurr. Comput. Pract. Exp. 38(3) (2026)- [i16]Zibo Zhao, Yuanting Zha, Haipeng Zhang, Xingcheng Xu:
The Two-Stage Decision-Sampling Hypothesis: Understanding the Emergence of Self-Reflection in RL-Trained LLMs. CoRR abs/2601.01580 (2026) - [i15]Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu:
KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning. CoRR abs/2601.07430 (2026) - [i14]Xiaoyu Wen, Zhida He, Han Qi, Ziyu Wan, Zhongtian Ma, Ying Wen, Tianhang Zheng, Xingcheng Xu, Chaochao Lu, Qiaosheng Zhang:
MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety. CoRR abs/2602.01539 (2026) - [i13]Zeming Wei, Qiaosheng Zhang, Xia Hu, Xingcheng Xu:
RAPO: Risk-Aware Preference Optimization for Generalizable Safe Reasoning. CoRR abs/2602.04224 (2026) - [i12]Zhao Tong, Chunlin Gong, Yiping Zhang, Haichao Shi, Qiang Liu, Xingcheng Xu, Shu Wu, Xiaoyu Zhang:
CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation. CoRR abs/2602.04856 (2026) - [i11]Xingcheng Xu, Jingjing Qu, Qiaosheng Zhang, Chaochao Lu, Yanqing Yang, Na Zou, Xia Hu:
Epistemic Traps: Rational Misalignment Driven by Model Misspecification. CoRR abs/2602.17676 (2026) - [i10]Kai Wang, Biaojie Zeng, Zeming Wei, Chang Jin, Hefeng Zhou, Xiangtian Li, Chao Yang, Jingjing Qu, Xingcheng Xu, Xia Hu:
TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems. CoRR abs/2603.15408 (2026) - 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 - [i9]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) - [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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