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ORCIDXiangyang Li 0004
Person information
- affiliation: Huawei, Noah's Ark Lab
- affiliation (former): Peking University, Department of Computer Science, MOE Key Laboratory of Computational Linguistics, Beijing, China
Other persons with the same name
- Xiangyang Li (aka: Xiang-Yang Li) — disambiguation page
- Xiang-Yang Li 0001
![[0000-0002-6070-6625]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6070-6625")
(aka: Xiangyang Li 0001) — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (and 1 more) - Xiangyang Li 0002 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China (and 1 more)
- Xiangyang Li 0003 (aka: Xiang-Yang Li 0003) — China University of Petroleum-Beijing, College of Geophysics, Beijing, China (and 2 more)
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2020 – today
- 2026
[j4]Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
A Survey of Personalization: From RAG to Agent. ACM Trans. Inf. Syst. 44(4): 93:1-93:39 (2026)- [j3]Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang:
CTRL: Connect Collaborative and Language Model for CTR Prediction. Trans. Recomm. Syst. 4(2): 20:1-20:23 (2026) - [c17]Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing. KDD (1) 2026: 2878-2889 - [i23]Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing. CoRR abs/2601.04554 (2026) - 2025
- [j2]Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang:
How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Trans. Inf. Syst. 43(2): 28:1-28:47 (2025) - [j1]Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. ACM Trans. Inf. Syst. 43(5): 117:1-117:33 (2025) - [c16]Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. ACL (Findings) 2025: 4242-4256 - [c15]Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu:
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. ACL (Findings) 2025: 8169-8182 - [c14]Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang:
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. ACL (1) 2025: 22074-22091 - [c13]Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao:
Prompt Tuning as User Inherent Profile Inference Machine. CIKM 2025: 5898-5906 - [c12]Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. COLING 2025: 886-896 - [c11]Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Yasheng Wang, Ruiming Tang:
Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? EMNLP (Findings) 2025: 21122-21137 - [c10]Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. NeurIPS 2025 - [c9]Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai:
MTRec: Learning to Align with User Preferences via Mental Reward Models. NeurIPS 2025 - [c8]Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. WWW (Companion Volume) 2025: 211-220 - [c7]Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang:
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. WWW 2025: 228-239 - [i22]Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. CoRR abs/2501.16125 (2025) - [i21]Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
A Survey of Personalization: From RAG to Agent. CoRR abs/2504.10147 (2025) - [i20]Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao:
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. CoRR abs/2505.14069 (2025) - [i19]Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang:
Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? CoRR abs/2506.12713 (2025) - [i18]Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai:
MTRec: Learning to Align with User Preferences via Mental Reward Models. CoRR abs/2509.22807 (2025) - [i17]Qingyao Li, Xinyi Dai, Weiwen Liu, Xiangyang Li, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang:
ATGen: Adversarial Reinforcement Learning for Test Case Generation. CoRR abs/2510.14635 (2025) - 2024
- [c6]Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CIKM 2024: 2472-2481 - [c5]Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu:
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. RecSys 2024: 94-104 - [i16]Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR abs/2404.00702 (2024) - [i15]Kuicai Dong, Derrick-Goh-Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu:
Multi-view Content-aware Indexing for Long Document Retrieval. CoRR abs/2404.15103 (2024) - [i14]Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang:
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR abs/2405.10596 (2024) - [i13]Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu:
CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control. CoRR abs/2405.18727 (2024) - [i12]Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang:
LLM-enhanced Reranking in Recommender Systems. CoRR abs/2406.12433 (2024) - [i11]Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR abs/2406.12529 (2024) - [i10]Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang:
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. CoRR abs/2407.02883 (2024) - [i9]Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan:
Prompt Tuning as User Inherent Profile Inference Machine. CoRR abs/2408.06577 (2024) - [i8]Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang:
LIBER: Lifelong User Behavior Modeling Based on Large Language Models. CoRR abs/2411.14713 (2024) - [i7]Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang:
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. CoRR abs/2412.08519 (2024) - [i6]Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang:
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. CoRR abs/2412.17250 (2024) - 2023
- [c4]Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang:
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM 2023: 598-606 - [i5]Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang:
CTRL: Connect Tabular and Language Model for CTR Prediction. CoRR abs/2306.02841 (2023) - [i4]Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang:
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR abs/2306.05817 (2023) - [i3]Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu:
ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. CoRR abs/2310.19453 (2023) - [i2]Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR abs/2312.10743 (2023) - 2022
- [c3]Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM 2022: 3292-3301 - [i1]Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang:
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR abs/2210.09890 (2022) - 2021
- [c2]Xiangyang Li, Yu Xia, Xiang Long, Zheng Li, Sujian Li:
Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English. CONSTRAINT@AAAI 2021: 106-115 - [c1]Xiangyang Li, Zheng Li, Sujian Li, Zhimin Li, Shimin Yang:
Knowledge Enhanced Transformers System for Claim Stance Classification. NLPCC (2) 2021: 614-623
Coauthor Index
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