A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures. - Yingtao Luo; Xuefeng Zhu (CoRR, 2020)

Deep Spatial Learning with Molecular Vibration. - Ziyang Zhang; Yingtao Luo (CoRR, 2020)

STAN: Spatio-Temporal Attention Network for Next Location Recommendation. - Yingtao Luo; Qiang Liu 006; Zhaocheng Liu (WWW, 2021)

KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Jun Zhu 001 (CoRR, 2021)

Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). - Yuntian Chen; Yingtao Luo; Qiang Liu 006; Hao Xu; Dongxiao Zhang (CoRR, 2021)

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. - Juyong Jiang; Yingtao Luo; Jae Boum Kim; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2021)

Deep Stable Representation Learning on Electronic Health Records. - Yingtao Luo; Zhaocheng Liu; Qiang Liu 006 (ICDM, 2022)

Heterogeneous Graph Based Knowledge Tracing. - Yingtao Luo; Bing Xiao 003; Hua Jiang; Junliang Ma (ICEIT, 2022)

Learning Differential Operators for Interpretable Time Series Modeling. - Yingtao Luo; Chang Xu 008; Yang Liu 278; Weiqing Liu; Shun Zheng 001; Jiang Bian 002 (KDD, 2022)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Jae Boum Kim; Yingtao Luo; Kai Zhang 038; Sunghun Kim 001 (CoRR, 2022)

Improving Multi-Interest Network with Stable Learning. - Zhaocheng Liu; Yingtao Luo; Di Zeng; Qiang Liu 006; Daqing Chang; Dongying Kong; Zhi Chen (CoRR, 2022)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CIKM, 2023)

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. - Yingtao Luo; Qiang Liu 006; Yuntian Chen; Wenbo Hu 001; Tian Tian 001; Jun Zhu 001 (KDD, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (NeurIPS, 2023)

GSLB: The Graph Structure Learning Benchmark. - Zhixun Li; Liang Wang 056; Xin Sun; Yifan Luo; Yanqiao Zhu 001; Dingshuo Chen; Yingtao Luo; Xiangxin Zhou; Qiang Liu 006; Shu Wu; Liang Wang 001; Jeffrey Xu Yu (CoRR, 2023)

RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. - Qiang Liu 006; Yingtao Luo; Shu Wu; Zhen Zhang; Xiangnan Yue; Hong Jin; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. - Jannik Deuschel; Caleb Ellington; Yingtao Luo; Benjamin J. Lengerich; Pascal Friederich; Eric P. Xing (ICML, 2024)

BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. - Shikai Fang; Qingsong Wen; Yingtao Luo; Shandian Zhe; Liang Sun 001 (ICML, 2024)

Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training. - Yunshu Wu; Yingtao Luo; Xianghao Kong; Vagelis Papalexakis; Greg Ver Steeg (NeurIPS, 2024)

Fairness without Demographics through Learning Graph of Gradients. - Yingtao Luo; Zhixun Li; Qiang Liu; Jun Zhu (CoRR, 2024)

Fairness without Demographics through Learning Graph of Gradients. - Yingtao Luo; Zhixun Li; Qiang Liu 006; Jun Zhu 001 (KDD (1), 2025)

Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. - Yingtao Luo; Shikai Fang; Binqing Wu; Qingsong Wen; Liang Sun 001 (CoRR, 2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Sunghun Kim 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset. - Yingtao Luo; Reza Skandari; Carlos Martinez; Arman Kilic; Rema Padman (CoRR, 2025)