Youru Li (李有儒)

Recent Projects

1. Alibaba Innovative Research Foundation (talent plan for Ph.D student). With the continuous popularization and development of intelligent devices and information collection technologies, more and more structured data become more accessible and play an unprecedented application value in different fields, such as Internet finance, smart transportation, smart agriculture, recommendation marketing, and so on. To address the challenges of complex structured data in information pattern mining and representation learning, such as the low quality of data due to data sparsity, how to self-adaptively utilize or eliminate bias in biased data modeling, how to fully learn the complementary information among different structured data elements in multi-data representation learning, and how to improve interpretability in structured data representation modeling through knowledge-aware approach, this project proposes a knowledge-aware approach to improve interpretability in structured data representation modeling. This project proposes a framework for knowledge-enhanced structured data representation learning and attempts to systematically give a solution to the challenges.

Knowledge-enhanced Representation Learning for Structured Data

Around the above condensed several key research problems, the proposed solutions of this project include 1) homogeneous knowledge mining and abstract semantic sharing among samples based on prototype learning; 2) environmental semantic enhancement and adaptive biased sample modeling based on knowledge graph; 3) unified representation of common knowledge and collaborative learning of personality information among multivariate heterogeneous data; 4) automatic acquisition of interpretable rules in decision making and sample specificity-based data analysis framework. The flow organization of the whole program from the research background to the scientific problem condensation to the overview of the proposed key technologies to the overall research objectives is shown in Figure above.

2. Fundamental Research Fund Project of Central Universities of China. With the continuous upgrading of national intelligent construction strategy and the fast development of techniques such as real-time positioning, intelligent mobile terminals and portable sensors, spatial-temporal data has become increasingly available nowadays and shows practical application value. Mining valuable knowledge from spatial-temporal data can contribute to effectively solve the problems in real world applications. Accordingly, how to better learn the representation of pattern in spatial-temporal data, and establish accurate prediction model for different tasks, so as to realize discovering of high-value knowledge automatically can be a very valuable research problem.

Spatio-temporal Data Mining and Prediction Modeling

In this project, spatial-temporal data is taken as the research object, focusing on the key research task of representation learning and prediction modeling in spatial-temporal data mining, aiming at the important research issues such as taking importance-based sampling for time series prediction, heterogeneous spatial-temporal representation learning for demand prediction, learning embedding from order-dependently semantic cross-field categorical attributes and dynamic interest sequence learning via knowledge graph.

Research

He interested in sequence data mining, knowledge graph and their applications in Healthcare Informatics, RecSys and finTech, etc.

Conference Papers:

1. FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
   Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Yawei Zhao, Kunlun He, Yao Zhao
   KDD 2024 | paper | code

2. Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph for SMEs Supply Chain Prediction
   Youru Li, Zhenfeng Zhu, Xiaobo Guo, Linxun Chen, Zhouyin Wang, Yinmeng Wang, Bing Han, Yao Zhao
   KDD 2023 | paper | code | video

3. SGT: Scene Graph-Guided Transformer for Surgical Report Generation
   Chen Lin, Shuai Zheng, Zhizhe Liu, Youru Li, Zhenfeng Zhu, Yao Zhao
   MICCAI 2022 | paper | code

4. Learning heterogeneous spatial-temporal representation for bike-sharing demand prediction
   Youru Li, Zhenfeng Zhu, Deqiang Kong, Meixiang Xu, Yao Zhao
   AAAI 2019 | paper

5. The study on human action recognition with depth video for intelligent monitoring
   Xueping Liu, Yibo Li, Youru Li, Shi Yu, Can Tian
   IEEE CCDC 2019 | paper

6. Study on system modeling and optimization of static evaluation based on the computer game of draughts
   Li Youru, Liu Xueping, Zhang Hekai, Xi Yuting
   IEEE CCDC 2016 | paper

7. A systematic research about the computer game of checkers based on the decision-making of AI
   Youru Li, Liu Xueping, Wang Yajie, Xi Yuting
   IEEE CCDC 2015 | paper

Journal Papers:

1. Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay
   Youru Li, Zhenfeng Zhu, Shaohu Chen, Kaiming Shen, Xingxing Zhang Wenliang Zhong and Yao Zhao
   ACM Transactions on Recommender Systems 2024 | paper

2. HKA: A Hierarchical Knowledge Alignment Framework for Multimodal Knowledge Graph Completion
   Yunhui Xu, Youru Li, Muhao Xu, Zhenfeng Zhu and Yao Zhao
   ACM Transactions on Multimedia Computing, Communications, and Applications 2024 | paper

3. Multi-Task Learning with Sequential Dependence Towards Industrial Applications: A Systematic Formulation
   Huaxin Pang, Shikui Wei, Youru Li, Ting Liu, Huaqi Zhang, Ying Qin and Yao Zhao
   IEEE Transactions on Instrumentation and Measurement 2024 | paper

4. Multi-Task Learning with Sequential Dependence Towards Industrial Applications: A Systematic Formulation
   Xiaobo Guo, Mingming Ha, Xuewen Tao, Shaoshuai Li, Youru Li, Zhenfeng Zhu, Zhiyong Shen, Li Ma
   ACM Transactions on Knowledge Discovery from Data 2024 | paper

5. Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting
   Changxia Gao, Ning Zhang, Youru Li, Yan Lin and Huaiyu Wan
   Applied Intelligence 2023 | paper | code

6. Node-oriented Spectral Filtering for Graph Neural Networks
   Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, Youru Li and Yao Zhao
   IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 | paper

7. Exploring Large-scale Financial Knowledge Graph for SMEs Supply Chain Mining
   Youru Li, Zhenfeng Zhu, Linxun Chen, Bin Yang, Yaxi Wu, Xiaobo Guo, Bing Han and Yao Zhao
   IEEE Transactions on Knowledge and Data Engineering 2023 | paper | code

8. HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
   Youru Li, Zhenfeng Zhu, Xiaobo Guo, Shaoshuai Li, Yuchen Yang and Yao Zhao
   ACM Transactions on Knowledge Discovery from Data 2023 | paper | code

9. Adversarial self-attentive time-variant neural networks for multi-step time series forecasting
   Changxia Gao, Ning Zhang, Youru Li, Yan Lin and Huaiyu Wan
   Expert Systems with Applications 2023 | paper | code

10. Cooperative dual medical ontology representation learning for clinical assisted decision-making
    Muhao Xu, Zhenfeng Zhu, Youru Li, Shuai Zheng, Linfeng Li, Haiyan Wu and Yao Zhao
    Computers in Biology and Medicine 2023 | paper | code

11. CED: A case-level explainable paramedical diagnosis via AdaGBDT
    Zhenyu Guo, Muhao Xu, Yuchen Yang, Youru Li, Haiyan Wu, Zhenfeng Zhu and Yao Zhao
    Computers in Biology and Medicine 2022 | paper

12. Sylvester Equation Induced Collaborative Representation Learning for Recommendation
    Xingyuan Li, Zhenfeng Zhu, Shuai Zheng, Zhizhe Liu, Youru Li, Xiaobo Guo, Deqiang Kong and Yao Zhao
    IEEE Transactions on Knowledge and Data Engineering 2022 | paper

13. Self-attention-based time-variant neural networks for multi-step time series forecasting
    Changxia Gao, Ning Zhang, Youru Li, Feng Bian and Huaiyu Wan
    Neural Computing and Applications 2022 | paper | code

14. Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis
    Wanlu Zhang, Haiyan Wu, Yang Liu, Shuai Zheng, Zhizhe Liu, Youru Li, Yao Zhao and Zhenfeng Zhu
    Biomedical Signal Processing and Control 2021 | paper

15. Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction
    Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu
    IEEE Transactions on Knowledge and Data Engineering 2021 | paper

16. DKEN: Deep knowledge-enhanced network for recommender systems
    Xiaobo Guo, Wenfang Lin, Youru Li, Zhongyi Liu, Lin Yang, Shuliang Zhao, Zhenfeng Zhu
    Information Sciences 2020 | paper

17. CCAE: Cross-field categorical attributes embedding for cancer clinical endpoint prediction
    Youru Li, Zhenfeng Zhu, Haiyan Wu, Silu Ding, Yao Zhao
    Artificial Intelligence in Medicine 2020 | paper

18. EA-LSTM: Evolutionary attention-based LSTM for time series prediction
    Youru Li, Zhenfeng Zhu, Deqiang Kong, Hua Han, Yao Zhao
    Knowledge-Based Systems 2019 | paper | code (ESI Highly Cited Paper)

19. GBDT based railway accident type prediction and cause analysis (in Chinese)
    Minhui Zhong, Wanlu Zhang, Youru Li, Zhenfeng Zhu, Yao Zhao
    Acta Autom. Sin 2022 | paper (CNKI 2011-2022 High Impact Papers)

20. Fault Diagnosis Technology of Inter-shaft Bearing Based on EMD Fuzzy Entropy and Consultative Decision Fusion Model (in Chinese)
    Wang Zhi, Youru Li, Tian Jing, Liu Lili, Li Jikai
    Aeroengine 2019 | paper

21. Fault diagnosis of aero-engine inter-shaft bearing based on Deep-GBM (in Chinese)
    Tian Jing, Youru Li, Yanting Ai
    Journal of Aerospace Power 2019 | paper

22. The Application Study on Improved Distributed Genetic Algorithm in Computer Games (in Chinese)
    Xueping Liu, Youru Li
    Transactions of Beijing Institute of Technology 2017 | paper

Awards