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Yankai Lin

Active 2013–2026

193
Papers
18,364
Citations
55
h-index
111
i10-index

Citations

Citations per year for Yankai Lin1967: 1 citations1969: 1 citations1984: 2 citations1994: 1 citations1998: 1 citations2008: 2 citations2012: 3 citations2013: 1 citations2015: 23 citations2016: 84 citations2017: 239 citations2018: 477 citations2019: 759 citations2020: 824 citations2021: 1,044 citations2022: 852 citations2023: 1,133 citations2024: 2,003 citations2025: 2,930 citations2026: 1,751 citations1968: no citations, so this year is not shown1970–1983: no citations, so these years are not shown1985–1993: no citations, so these years are not shown1995–1997: no citations, so these years are not shown1999–2007: no citations, so these years are not shown2009–2011: no citations, so these years are not shown2014: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 3,929 citing papers, 45.2% of this breakdownUnited States: 1,379 citing papers, 15.9% of this breakdownUnited Kingdom: 354 citing papers, 4.1% of this breakdownAustralia: 304 citing papers, 3.5% of this breakdownGermany: 301 citing papers, 3.5% of this breakdownHong Kong: 243 citing papers, 2.8% of this breakdownSingapore: 241 citing papers, 2.8% of this breakdownCanada: 203 citing papers, 2.3% of this breakdownJapan: 144 citing papers, 1.6% of this breakdownIndia: 138 citing papers, 1.6% of this breakdownSouth Korea: 131 citing papers, 1.5% of this breakdownFrance: 115 citing papers, 1.3% of this breakdown
0%45.2%Other 13.9%

Institutions

Fields

  • Computer Science85.3%
  • Social Sciences2.7%
  • Engineering2.5%
  • Decision Sciences2.1%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Medicine1.3%
  • Other4.6%

Topics

  • Topic Modeling19.1%
  • Advanced Graph Neural Networks10.2%
  • Natural Language Processing Techniques8.4%
  • Multimodal Machine Learning Applications4.3%
  • Recommender Systems and Techniques2.7%
  • Domain Adaptation and Few-Shot Learning2.5%
  • Other52.8%

Coauthors

All papers

Open in search
  1. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

    Authors: Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun - ICLR 2024 cited by 1,957

  2. Learning Entity and Relation Embeddings for Knowledge Graph Completion

    Authors: Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu - AAAI Conference on Artificial Intelligence 2015 cited by 3,669

  3. Large Language Diffusion Models

    Authors: Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li - NeurIPS 2025 cited by 592

  4. A Survey on Large Language Model based Autonomous Agents

    Authors: Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen - Frontiers of Computer Science, Frontiers Comput. Sci. 2024 cited by 1,156

  5. UltraFeedback: Boosting Language Models with High-quality Feedback

    Authors: Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun - ICML 2024 cited by 465

  6. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

    Authors: Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li - ACL (1) 2026 cited by 233

  7. Tool Learning with Foundation Models

    Authors: Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun - arXiv (Cornell University), CoRR 2023 cited by 238

  8. Don't Make Your LLM an Evaluation Benchmark Cheater

    Authors: Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, Jiawei Han - arXiv (Cornell University), CoRR 2023 cited by 200

  9. Advancing LLM Reasoning Generalists with Preference Trees

    Authors: Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun - ICLR 2025 cited by 208

  10. RecAgent: A Novel Simulation Paradigm for Recommender Systems

    Authors: Lei Wang, Jingsen Zhang, Yang, Hao, Chen, Zhiyuan, Tang, Jiakai, Zhang, Zeyu, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Xu, Jun, Dou, Zhicheng, Wang, Jun, Ji-Rong Wen - arXiv (Cornell University), CoRR 2023 cited by 132

  11. GUICourse: From General Vision Language Models to Versatile GUI Agents

    Authors: Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun - arXiv (Cornell University), CoRR 2024 cited by 89

  12. Tool Learning with Foundation Models

    Authors: Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun - ACM Computing Surveys, ACM Comput. Surv. 2024 cited by 113

  13. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning

    Authors: Wenkai Yang, Shuming Ma, Yankai Lin, Furu Wei - NeurIPS 2025 cited by 84

  14. InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory

    Authors: Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Song Han, Maosong Sun - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 183

  15. DebugBench: Evaluating Debugging Capability of Large Language Models

    Authors: Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 77

  16. Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment

    Authors: Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun - Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 cited by 76

  17. Fully Hyperbolic Neural Networks

    Authors: Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2022 cited by 91

  18. Modeling Relation Paths for Representation Learning of Knowledge Bases

    Authors: Yankai Lin, Zhiyuan Liu, Huan-Bo Luan, Maosong Sun, Siwei Rao, Song Liu - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 cited by 588

  19. ReLU2 Wins: Discovering Efficient Activation Functions for Sparse LLMs

    Authors: Zhengyan Zhang, Yixin Song, Guanghui Yu, Xu Han, Yankai Lin, Chaojun Xiao, Chenyang Song, Zhiyuan Liu, Z. Mi, Maosong Sun - arXiv (Cornell University), CoRR 2024 cited by 62

  20. RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

    Authors: Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP (System Demonstrations) 2024 cited by 57

  21. Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

    Authors: Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 176

  22. OpenKE: An Open Toolkit for Knowledge Embedding

    Authors: Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li - Conference on Empirical Methods in Natural Language Processing: System Demonstrations, EMNLP (Demonstration) 2018 cited by 346

  23. RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

    Authors: Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun - Conference on Empirical Methods in Natural Language Processing, EMNLP (1) 2021 cited by 79

  24. Neural Relation Extraction with Selective Attention over Instances

    Authors: Yankai Lin, Shiqi Shen, Zhiyuan Liu, Huanbo Luan, Maosong Sun - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2016 cited by 1,097