Yingtao Luo

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Partial Differential Equations

Highly Nonlinear

Recommender Systems

Top Venues

Publications

Yunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training. CoRR (2024)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD (2023)
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. CoRR (2023)
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
GSLB: The Graph Structure Learning Benchmark. NeurIPS (2023)
Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Jannik Deuschel, Caleb N. Ellington, Benjamin J. Lengerich, Yingtao Luo, Pascal Friederich, Eric P. Xing
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. CoRR (2023)
Yingtao Luo, Zhaocheng Liu, Qiang Liu
Deep Stable Representation Learning on Electronic Health Records. ICDM (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. CoRR (2022)
Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR (2022)
Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen
Improving Multi-Interest Network with Stable Learning. CoRR (2022)
Yingtao Luo, Bing Xiao, Hua Jiang, Junliang Ma
Heterogeneous Graph Based Knowledge Tracing. ICEIT (2022)
Yingtao Luo, Zhaocheng Liu, Qiang Liu
Deep Stable Representation Learning on Electronic Health Records. CoRR (2022)
Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
Learning Differential Operators for Interpretable Time Series Modeling. KDD (2022)
Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR (2022)
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR (2021)
Yingtao Luo, Qiang Liu, Zhaocheng Liu
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW (2021)
Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR (2021)
Yingtao Luo, Qiang Liu, Zhaocheng Liu
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR (2021)
Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR (2021)
Yingtao Luo, Xuefeng Zhu
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures. CoRR (2020)
Ziyang Zhang, Yingtao Luo
Deep Spatial Learning with Molecular Vibration. CoRR (2020)