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Le Yan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Le Yan 0001
— Hubei Normal University, College of Electrical Engineering and Automation, Huangshi, China (and 1 more) - Le Yan 0002
— Nanjing Xiaozhuang University, College of Information Engineering, China (and 1 more) - Le Yan 0003 — Princeton University, Department of Electrical Engineering, NJ, USA
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2020 – today
- 2025
[j4]Le Yan
, Wei Li
, Jiawen Hou, Shizheng Tan
:
Impact of fit between knowledge potential and organizational routine updating on subsidiaries' new product development performance. J. Knowl. Manag. 29(2): 565-587 (2025)
[j3]Shizheng Tan
, Wei Li
, Xiaoguang Liu
, Pengfei Li
, Le Yan
, Chen Liang
:
Synergistic Systems of Digitalization and Urbanization in Driving Urban Green Development: A Configurational Analysis of China's Yellow River Basin. Syst. 13(6): 426 (2025)
[c11]Fang Guo
, Wenyu Li
, Honglei Zhuang
, Yun Luo
, Yafu Li
, Le Yan
, Qi Zhu
, Yue Zhang
:
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. WSDM 2025: 944-953
[i10]Paul Suganthan, Fedor Moiseev, Le Yan, Junru Wu, Jianmo Ni, Jay Han, Imed Zitouni, Enrique Alfonseca, Xuanhui Wang, Zhe Dong:
Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks. CoRR abs/2503.02656 (2025)
[i9]Junru Wu, Le Yan, Zhen Qin, Honglei Zhuang, Paul Suganthan G. C., Tianqi Liu, Zhe Dong, Xuanhui Wang, Harrie Oosterhuis:
Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation. CoRR abs/2507.04820 (2025)- 2024
[c10]Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP 2024: 410-423
[c9]Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky:
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) 2024: 358-370
[c8]Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky:
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 2024: 1504-1518
[i8]Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman
, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR abs/2404.11791 (2024)
[i7]Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang:
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers. CoRR abs/2404.11960 (2024)- 2023
[c7]Aijun Bai
, Rolf Jagerman
, Zhen Qin
, Le Yan
, Pratyush Kar
, Bing-Rong Lin
, Xuanhui Wang
, Michael Bendersky
, Marc Najork
:
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM 2023: 4502-4508
[c6]Yunan Zhang
, Le Yan
, Zhen Qin
, Honglei Zhuang
, Jiaming Shen
, Xuanhui Wang
, Michael Bendersky
, Marc Najork
:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD 2023: 5618-5627
[c5]Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang:
RD-Suite: A Benchmark for Ranking Distillation. NeurIPS 2023
[i6]Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang:
RD-Suite: A Benchmark for Ranking Distillation. CoRR abs/2306.04455 (2023)
[i5]Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky:
Learning to Rank when Grades Matter. CoRR abs/2306.08650 (2023)
[i4]Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky:
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR abs/2310.14122 (2023)- 2022
[c4]Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
:
Scale Calibration of Deep Ranking Models. KDD 2022: 4300-4309
[c3]Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
:
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR 2022: 2410-2414
[i3]Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
:
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR abs/2212.13937 (2022)- 2021
[c2]Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork:
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR 2021
[c1]Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. WWW 2021: 127-136
[i2]Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. CoRR abs/2109.15285 (2021)
[i1]Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR abs/2112.09727 (2021)
2010 – 2019
- 2019
[j2]Le Yan, Sunjie Zhang
, Guoliang Wei, Shuai Liu:
Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings. Neurocomputing 346: 20-29 (2019)- 2017
[j1]Le Yan, Sunjie Zhang
, Derui Ding
, Yurong Liu, Fuad E. Alsaadi:
H∞ state estimation for memristive neural networks with multiple fading measurements. Neurocomputing 230: 23-29 (2017)
Coauthor Index

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last updated on 2026-02-08 23:20 CET by the dblp team
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