Le Yan

According to our database, Le Yan authored at least 34 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph neural networks with selective attention and path reasoning for document-level relation extraction.

Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan

Appl. Intell., April, 2024

Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers.

Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Yue Zhang

CoRR, 2024

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.

Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.

Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing.

Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Learning to Rank when Grades Matter.

Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky

CoRR, 2023

RD-Suite: A Benchmark for Ranking Distillation.

Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.

Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.

Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Adaptive niching selection-based differential evolution for global optimization.

Le Yan, Xiaomei Mo, Qi Li, Mengjun Gu, Weguo Sheng

Soft Comput., December, 2022

Joint extraction of entities and relations using multi-label tagging and relational alignment.

Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu

Neural Comput. Appl., 2022

Revisiting Two-tower Models for Unbiased Learning to Rank.

Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Scale Calibration of Deep Ranking Models.

Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting.

Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Joint extraction of entities and overlapping relations using source-target entity labeling.

Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang

Expert Syst. Appl., 2021

A stream prediction model based on attention-LSTM.

Le Yan, Changwei Chen, Tingting Hang, Youchuan Hu

Earth Sci. Informatics, 2021

Rank4Class: A Ranking Formulation for Multiclass Classification.

Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

CoRR, 2021

Born Again Neural Rankers.

Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork

CoRR, 2021

Flow interval prediction based on deep residual network and lower and upper boundary estimation method.

Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu

Appl. Soft Comput., 2021

Co-Evolutionary Niching Differential Evolution Algorithm for Global Optimization.

Le Yan, Jianjun Chen, Qi Li, Jiafa Mao, Weiguo Sheng

IEEE Access, 2021

Diversification-Aware Learning to Rank using Distributed Representation.

Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky

Proceedings of the WWW '21: The Web Conference 2021, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?

Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Stream-Flow Forecasting of Small Rivers Based on LSTM.

Youchuan Hu, Le Yan, Tingting Hang, Jun Feng

CoRR, 2020

Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds.

Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li

IEEE Access, 2020

2019

Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings.

Le Yan, Sunjie Zhang, Guoliang Wei, Shuai Liu

Neurocomputing, 2019

Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention.

Jun Feng, Le Yan, Tingting Hang

IEEE Access, 2019

Small Watershed Stream-Flow Forecasting Based on LSTM.

Le Yan, Jun Feng, Tingting Hang

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Water Sound Recognition Based on Support Vector Machine.

Tingting Hang, Jun Feng, Xiaodong Li, Le Yan

Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

2017

H_∞ state estimation for memristive neural networks with multiple fading measurements.

Le Yan, Sunjie Zhang, Derui Ding, Yurong Liu, Fuad E. Alsaadi

Neurocomputing, 2017

2007

Energy comparison and optimization of wireless body-area network technologies.

Le Yan, Lin Zhong, Niraj K. Jha

Proceedings of the 2nd International ICST Conference on Body Area Networks, 2007

2005

Joint dynamic voltage scaling and adaptive body biasing for heterogeneous distributed real-time embedded systems.

Le Yan, Jiong Luo, Niraj K. Jha

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2005

Towards a Responsive, Yet Power-ef.cient, Operating System: A Holistic Approach.

Le Yan, Lin Zhong, Niraj K. Jha

Proceedings of the 13th International Symposium on Modeling, 2005

User-perceived latency driven voltage scaling for interactive applications.

Le Yan, Lin Zhong, Niraj K. Jha

Proceedings of the 42nd Design Automation Conference, 2005

2003

Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems.

Le Yan, Jiong Luo, Niraj K. Jha

Proceedings of the 2003 International Conference on Computer-Aided Design, 2003