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Le Yan
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2020 – today
- 2024
- [j12]Tingting Hang
, Jun Feng
Graph neural networks with selective attention and path reasoning for document-level relation extraction. Appl. Intell. 54(7): 5353-5372 (2024) - [c17]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 - [c16]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 - [c15]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 - [i9]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) - [i8]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
- [c14]Aijun Bai
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM 2023: 4502-4508 - [c13]Yunan Zhang
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD 2023: 5618-5627 - [c12]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 - [i7]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) - [i6]Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky:
Learning to Rank when Grades Matter. CoRR abs/2306.08650 (2023) - [i5]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
- [j11]Tingting Hang
Joint extraction of entities and relations using multi-label tagging and relational alignment. Neural Comput. Appl. 34(8): 6397-6412 (2022) - [j10]Le Yan, Xiaomei Mo, Qi Li, Mengjun Gu, Weguo Sheng:
Adaptive niching selection-based differential evolution for global optimization. Soft Comput. 26(24): 13509-13525 (2022) - [c11]Jun Feng
Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. IJCNN 2022: 1-8 - [c10]Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD 2022: 4300-4309 - [c9]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 - [i4]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
- [j9]Le Yan
Co-Evolutionary Niching Differential Evolution Algorithm for Global Optimization. IEEE Access 9: 128095-128105 (2021) - [j8]Le Yan, Jun Feng
Flow interval prediction based on deep residual network and lower and upper boundary estimation method. Appl. Soft Comput. 104: 107228 (2021) - [j7]Le Yan
A stream prediction model based on attention-LSTM. Earth Sci. Informatics 14(2): 723-733 (2021) - [j6]Tingting Hang, Jun Feng
Joint extraction of entities and overlapping relations using source-target entity labeling. Expert Syst. Appl. 177: 114853 (2021) - [c8]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 - [c7]Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. WWW 2021: 127-136 - [i3]Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork:
Born Again Neural Rankers. CoRR abs/2109.15285 (2021) - [i2]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) - 2020
- [j5]Yuelong Zhu
Flood Prediction Using Rainfall-Flow Pattern in Data-Sparse Watersheds. IEEE Access 8: 39713-39724 (2020) - [i1]Youchuan Hu, Le Yan, Tingting Hang, Jun Feng:
Stream-Flow Forecasting of Small Rivers Based on LSTM. CoRR abs/2001.05681 (2020)
2010 – 2019
- 2019
- [j4]Jun Feng
Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention. IEEE Access 7: 134754-134762 (2019) - [j3]Le Yan, Sunjie Zhang
Event-triggered set-membership filtering for discrete-time memristive neural networks subject to measurement saturation and fadings. Neurocomputing 346: 20-29 (2019) - [c6]Tingting Hang, Jun Feng
Water Sound Recognition Based on Support Vector Machine. IMCOM 2019: 986-995 - [c5]Le Yan, Jun Feng
Small Watershed Stream-Flow Forecasting Based on LSTM. IMCOM 2019: 1006-1014 - 2017
- [j2]Le Yan, Sunjie Zhang
H∞ state estimation for memristive neural networks with multiple fading measurements. Neurocomputing 230: 23-29 (2017)
2000 – 2009
- 2007
- [c4]Le Yan, Lin Zhong, Niraj K. Jha:
Energy comparison and optimization of wireless body-area network technologies. BODYNETS 2007: 8 - 2005
- [j1]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): 1030-1041 (2005) - [c3]Le Yan, Lin Zhong, Niraj K. Jha:
User-perceived latency driven voltage scaling for interactive applications. DAC 2005: 624-627 - [c2]Le Yan, Lin Zhong, Niraj K. Jha:
Towards a Responsive, Yet Power-ef.cient, Operating System: A Holistic Approach. MASCOTS 2005: 249-257 - 2003
- [c1]Le Yan, Jiong Luo, Niraj K. Jha:
Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems. ICCAD 2003: 30-38
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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