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Publication search results
found 27 matches
- 2024
- Jannik Deuschel, Caleb Ellington, Yingtao Luo, Benjamin J. Lengerich, Pascal Friederich, Eric P. Xing:
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning. ICML 2024 - Shikai Fang, Qingsong Wen, Yingtao Luo, Shandian Zhe, Liang Sun:
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition. ICML 2024 - 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 abs/2407.08946 (2024) - 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): 7427-7439 (2023) - Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. IEEE Trans. Parallel Distributed Syst. 34(8): 2311-2324 (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: 976-986 - Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Tian Tian, Jun Zhu:
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations. KDD 2023: 1595-1607 - 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 - Hongjing Huang, Yingtao Li, Jie Sun, Xueying Zhu, Jie Zhang, Liang Luo, Jialin Li, Zeke Wang:
P4SGD: Programmable Switch Enhanced Model-Parallel Training on Generalized Linear Models on Distributed FPGAs. CoRR abs/2305.05885 (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 abs/2310.05174 (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 abs/2310.07918 (2023) - 2022
- Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. ICDM 2022: 1077-1082 - Yingtao Luo, Bing Xiao, Hua Jiang, Junliang Ma:
Heterogeneous Graph Based Knowledge Tracing. ICEIT 2022: 226-231 - Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. KDD 2022: 1192-1201 - Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CoRR abs/2205.08776 (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 abs/2206.00568 (2022) - Zhaocheng Liu, Yingtao Luo, Di Zeng, Qiang Liu, Daqing Chang, Dongying Kong, Zhi Chen:
Improving Multi-Interest Network with Stable Learning. CoRR abs/2207.07910 (2022) - Yingtao Luo, Zhaocheng Liu, Qiang Liu:
Deep Stable Representation Learning on Electronic Health Records. CoRR abs/2209.01321 (2022) - Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. CoRR abs/2209.01491 (2022) - 2021
- Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. WWW 2021: 2177-2185 - Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. CoRR abs/2102.04095 (2021) - Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu:
KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients. CoRR abs/2106.01078 (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 abs/2106.11927 (2021) - Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim:
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer. CoRR abs/2112.06460 (2021) - 2020
- Yingtao Luo, Xuefeng Zhu:
A Quantum-Inspired Probabilistic Model for the Inverse Design of Meta-Structures. CoRR abs/2011.05511 (2020) - Ying-Tao Luo, Peng-Qi Li, Dong-Ting Li, Yu-Gui Peng, Zhi-Guo Geng, Shu-Huan Xie, Yong Li, Andrea Alù, Jie Zhu, Xue Feng Zhu:
Probability-Density-Based Deep Learning Paradigm for the Fuzzy Design of Functional Metastructures. CoRR abs/2011.05516 (2020) - Ziyang Zhang, Yingtao Luo:
Deep Spatial Learning with Molecular Vibration. CoRR abs/2011.07200 (2020)
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