Resource Aware Person Re-Identification Across Multiple Resolutions. - Yan Wang 051; Lequn Wang; Yurong You; Xu Zou 001; Vincent Chen; Serena Li; Gao Huang 001; Bharath Hariharan; Kilian Q. Weinberger (CVPR, 2018)

CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning. - Yi Su; Lequn Wang; Michele Santacatterina; Thorsten Joachims (CoRR, 2018)

CAB: Continuous Adaptive Blending for Policy Evaluation and Learning. - Yi Su; Lequn Wang; Michele Santacatterina; Thorsten Joachims (ICML, 2019)

CropCircDB: a comprehensive circular RNA resource for crops in response to abiotic stress. - Kai Wang; Chong Wang; Baohuan Guo; Kun Song; Chuanhong Shi; Xin Jiang; Keyi Wang; Yacong Tan; Lequn Wang; Lin Wang 032; Jiangjiao Li; Ying Li; et al. (Database J. Biol. Databases Curation, 2019)

FastFusionNet: New State-of-the-Art for DAWNBench SQuAD. - Felix Wu; Boyi Li; Lequn Wang; Ni Lao; John Blitzer; Kilian Q. Weinberger (CoRR, 2019)

Integrated Triaging for Fast Reading Comprehension. - Felix Wu; Boyi Li; Lequn Wang; Ni Lao; John Blitzer; Kilian Q. Weinberger (CoRR, 2019)

Fairness and Diversity for Rankings in Two-Sided Markets. - Lequn Wang; Thorsten Joachims (CoRR, 2020)

Fairness of Exposure in Stochastic Bandits. - Lequn Wang; Yiwei Bai; Wen Sun 002; Thorsten Joachims (ICML, 2021)

User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets. - Lequn Wang; Thorsten Joachims (ICTIR, 2021)

Recommendations as Treatments. - Thorsten Joachims; Ben London 001; Yi Su; Adith Swaminathan; Lequn Wang (AI Mag., 2021)

Improving Screening Processes via Calibrated Subset Selection. - Lequn Wang; Thorsten Joachims; Manuel Gomez Rodriguez (ICML, 2022)

Provably Improving Expert Predictions with Conformal Prediction. - Eleni Straitouri; Lequn Wang; Nastaran Okati; Manuel Gomez Rodriguez (CoRR, 2022)

Fairness in the First Stage of Two-Stage Recommender Systems. - Lequn Wang; Thorsten Joachims (CoRR, 2022)

Improving Expert Predictions with Conformal Prediction. - Eleni Straitouri; Lequn Wang; Nastaran Okati; Manuel Gomez Rodriguez (ICML, 2023)

Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. - Lequn Wang; Thorsten Joachims (WSDM, 2023)

Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification. - Chuanchao Zhang; Xinxing Li; Wendong Huang; Lequn Wang; Qianqian Shi (Briefings Bioinform., 2023)

Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits. - Lequn Wang; Akshay Krishnamurthy; Alex Slivkins (AISTATS, 2024)

Off-Policy Evaluation for Large Action Spaces via Policy Convolution. - Noveen Sachdeva; Lequn Wang; Dawen Liang; Nathan Kallus; Julian J. McAuley (WWW, 2024)

Spatially aligned graph transfer learning for characterizing spatial regulatory heterogeneity. - Wendong Huang; Yaofeng Hu; Lequn Wang; Guangsheng Wu; Chuanchao Zhang; Qianqian Shi (Briefings Bioinform., 2024)

Multi-modal domain adaptation for revealing spatial functional landscape from spatially resolved transcriptomics. - Lequn Wang; Yaofeng Hu; Kai Xiao; Chuanchao Zhang; Qianqian Shi; Luonan Chen (Briefings Bioinform., 2024)