Yingtao Luo - RankMe

32 papers A* 8A 1Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset. CoRR Yingtao Luo, Reza Skandari, Carlos Martinez, Arman Kilic, Rema Padman
2025	—	`conf`	Fairness without Demographics through Learning Graph of Gradients. KDD (1) Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu
2025	J	`jnl`	Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025	—	`conf`	LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. IJCNLP-AACL (Findings) Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong
2025	—	`conf`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. KDD (2) Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2025	J	`jnl`	Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting. CoRR Yingtao Luo, Shikai Fang, Binqing Wu, Qingsong Wen, Liang Sun
2024	A*	`conf`	BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun
2024	A*	`conf`	Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. ICML Jannik Deuschel, Caleb Ellington, Yingtao Luo, Benjamin J. Lengerich, Pascal Friederich, Eric P. Xing
2024	J	`jnl`	Fairness without Demographics through Learning Graph of Gradients. CoRR Yingtao Luo, Zhixun Li, Qiang Liu, Jun Zhu
2024	A*	`conf`	Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training. NeurIPS Yunshu Wu, Yingtao Luo, Xianghao Kong, Vagelis Papalexakis, Greg Ver Steeg
2024	J	`jnl`	Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training. CoRR Yunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg
2023	A	`conf`	AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023	J	`jnl`	Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. CoRR Jannik Deuschel, Caleb N. Ellington, Benjamin J. Lengerich, Yingtao Luo, Pascal Friederich, Eric P. Xing
2023	A*	`conf`	GSLB: The Graph Structure Learning Benchmark. NeurIPS Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023	J	`jnl`	GSLB: The Graph Structure Learning Benchmark. CoRR 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
2023	A*	`conf`	Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu
2023	J	`jnl`	RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
2022	J	`jnl`	AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim
2022	A*	`conf`	Deep Stable Representation Learning on Electronic Health Records. ICDM Yingtao Luo, Zhaocheng Liu, Qiang Liu
2022	J	`jnl`	Deep Stable Representation Learning on Electronic Health Records. CoRR Yingtao Luo, Zhaocheng Liu, Qiang Liu
2022	—	`conf`	Heterogeneous Graph Based Knowledge Tracing. ICEIT Yingtao Luo, Bing Xiao, Hua Jiang, Junliang Ma
2022	J	`jnl`	Improving Multi-Interest Network with Stable Learning. CoRR Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen
2022	A*	`conf`	Learning Differential Operators for Interpretable Time Series Modeling. KDD Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022	J	`jnl`	Learning Differential Operators for Interpretable Time Series Modeling. CoRR Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
2022	J	`jnl`	RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang
2021	J	`jnl`	Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE). CoRR Yuntian Chen, Yingtao Luo, Qiang Liu, Hao Xu, Dongxiao Zhang
2021	J	`jnl`	KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
2021	A*	`conf`	STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW Yingtao Luo, Qiang Liu, Zhaocheng Liu
2021	J	`jnl`	STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR Yingtao Luo, Qiang Liu, Zhaocheng Liu
2021	J	`jnl`	Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim
2020	J	`jnl`	A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures. CoRR Yingtao Luo, Xuefeng Zhu
2020	J	`jnl`	Deep Spatial Learning with Molecular Vibration. CoRR Ziyang Zhang, Yingtao Luo