Le Yan

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 30

Top Topics

Global Optimization

Normalized Discounted Cumulative Gain

Differential Evolution

Top Venues

Publications

Tingting Hang, Jun Feng, Yunfeng Wang, Le Yan
Graph neural networks with selective attention and path reasoning for document-level relation extraction. Appl. Intell. 54 (7) (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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 (2023)
Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky
Learning to Rank when Grades Matter. CoRR (2023)
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)
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)
Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD (2022)
Le Yan, Xiaomei Mo, Qi Li, Mengjun Gu, Weguo Sheng
Adaptive niching selection-based differential evolution for global optimization. Soft Comput. 26 (24) (2022)
Tingting Hang, Jun Feng, Le Yan, Yunfeng Wang, Jiamin Lu
Joint extraction of entities and relations using multi-label tagging and relational alignment. Neural Comput. Appl. 34 (8) (2022)
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR (2022)
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 (2022)
Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. IJCNN (2022)
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Born Again Neural Rankers. CoRR (2021)
Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
Diversification-Aware Learning to Rank using Distributed Representation. WWW (2021)
Le Yan, Jun Feng, Tingting Hang, Yuelong Zhu
Flow interval prediction based on deep residual network and lower and upper boundary estimation method. Appl. Soft Comput. 104 (2021)
Tingting Hang, Jun Feng, Yirui Wu, Le Yan, Yunfeng Wang
Joint extraction of entities and overlapping relations using source-target entity labeling. Expert Syst. Appl. 177 (2021)
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)
Le Yan, Changwei Chen, Tingting Hang, Youchuan Hu
A stream prediction model based on attention-LSTM. Earth Sci. Informatics 14 (2) (2021)
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR (2021)
Le Yan, Jianjun Chen, Qi Li, Jiafa Mao, Weiguo Sheng
Co-Evolutionary Niching Differential Evolution Algorithm for Global Optimization. IEEE Access 9 (2021)
Youchuan Hu, Le Yan, Tingting Hang, Jun Feng
Stream-Flow Forecasting of Small Rivers Based on LSTM. CoRR (2020)
Yuelong Zhu, Jun Feng, Le Yan, Tao Guo, Xiaodong Li
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access 8 (2020)
Jun Feng, Le Yan, Tingting Hang
Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention. IEEE Access 7 (2019)
Le Yan, Jun Feng, Tingting Hang
Small Watershed Stream-Flow Forecasting Based on LSTM. IMCOM (2019)
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 (2019)
Tingting Hang, Jun Feng, Xiaodong Li, Le Yan
Water Sound Recognition Based on Support Vector Machine. IMCOM (2019)
Le Yan, Sunjie Zhang, Derui Ding, Yurong Liu, Fuad E. Alsaadi
state estimation for memristive neural networks with multiple fading measurements. Neurocomputing 230 (2017)
Le Yan, Lin Zhong, Niraj K. Jha
Energy comparison and optimization of wireless body-area network technologies. BODYNETS (2007)
Le Yan, Jiong Luo, Niraj K. Jha
Joint dynamic voltage scaling and adaptive body biasing for heterogeneous distributed real-time embedded systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24 (7) (2005)
Le Yan, Lin Zhong, Niraj K. Jha
Towards a Responsive, Yet Power-ef.cient, Operating System: A Holistic Approach. MASCOTS (2005)
Le Yan, Lin Zhong, Niraj K. Jha
User-perceived latency driven voltage scaling for interactive applications. DAC (2005)
Le Yan, Jiong Luo, Niraj K. Jha
Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems. ICCAD (2003)