| 2025 | CEC | A Dynamic Multi-Method Evolutionary Algorithm for Multi-Objective Optimization with Learning Strategy. | Cong Li, Le Yan, Haoyu Zhang, Weiguo Sheng, Haibo Gao, Chang-Duo Liang |
| 2025 | WSDM | MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. | Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2023 | CIKM | 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 |
| 2023 | KDD | 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 |
| 2022 | IJCNN | Graph Convolution Based Spatial-Temporal Attention LSTM Model for Flood Forecasting. | Jun Feng, Haichao Sha, Yukai Ding, Le Yan, Zhangheng Yu |
| 2022 | KDD | Scale Calibration of Deep Ranking Models. | Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | Revisiting Two-tower Models for Unbiased Learning to Rank. | Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | ICLR | 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 |
| 2021 | WWW | Diversification-Aware Learning to Rank using Distributed Representation. | Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky |
| 2005 | DAC | User-perceived latency driven voltage scaling for interactive applications. | Le Yan, Lin Zhong, Niraj K. Jha |
| 2005 | MASCOTS | Towards a Responsive, Yet Power-ef.cient, Operating System: A Holistic Approach. | Le Yan, Lin Zhong, Niraj K. Jha |
| 2003 | ICCAD | Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems. | Le Yan, Jiong Luo, Niraj K. Jha |