姜璐  讲师

   智能科学与技术系，计算机科学与技术

     毕业院校：东北师范大学

     通信地址：辽宁省大连市凌海路1号

     学位：博士

     邮箱：jiangl761@dlmu.edu.cn

     主要研究方向：数据挖掘、深度学习、智慧教育、智慧交通、生物信息学

     邮编：116026

| 教育经历

2011.09-2015.06   东北师范大学 计算机科学与技术 本科

2015.09-2023.06   东北师范大学 计算机应用技术   博士

2019.03-2019.06   密苏里科技大学 计算机科学     访问学者

2019.12-2020.12   中佛罗里达大学 计算机科学术   联培博士

| 工作经历

2023.07-至今       大连海事大学 信息科学技术学院 讲师

| 讲授课程

1.     人工智能基础

2.     计算方法

| 研究领域

1.     数据挖掘

2.     深度学习

3.     智慧教育

4.     智慧交通

5.    生物信息学

学术成果

| 期刊论文

1 [IJCAI] Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin. Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. The 33rd International Joint Conference on Artificial Intelligence, 2024.

2 [IJCAI] Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin. Hierarchical Reinforcement Learning for Point of Interest Recommendation. The 33rd International Joint Conference on Artificial Intelligence, 2024.

3 [IJCAI] Xinhao Zhang, Zaitian Wang, Lu Jiang, Wanfu Gao, Pengfei Wang, Kunpeng Liu. TFWT: Tabular Feature Weighting with Transformer. The 33rd International Joint Conference on Artificial Intelligence, 2024.

4 [AAAI] Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang. Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. The 38th AAAI Conference on Artificial Intelligence, 2024.

5 [TIST] Lu Jiang, Kunpeng Liu, Yibin Wang, Dongjie Wang, Pengyang Wang, Yanjie Fu, and Minghao Yin. Reinforced Explainable Knowledge Concept Recommendation in MOOCs. ACM Transactions on Intelligent Systems and Technology, 2023. 

6 [AAAI] Lu Jiang, Yibin Wang, Jianan, Pengyang Wang, Minghao Yin. Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. The 37th AAAI Conference on Artificial Intelligence, 2023.

7 [APIN] Lu Jiang, Yuqi Wang, Shasha Xie, Jun Wu, Minghao Yin, Jianan Wang.Which courses to choose? recommending courses to groups of students in online tutoring platforms. Applied. Intelligence, 2023.

8 [BIB] Lu Jiang, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin. Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities. Briefings in Bioinformatics, 2022.

9 [SDM] Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu. EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling.Proceedings of the 2021 SIAM International Conference on Data Mining, 2021.

10 [BIBM] Lu Jiang, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin.Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction.International Conference on Bioinformatics and Biomedicine,2021.

11 [ADMA] Lu Jiang, Wanfei Zhang, Yibin Wang, Na Luo, Lin Yue. Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform. International ConferenceAdvanced Data Mining and Applications，2021.

12 [KDD] Pengyang Wang, Kunpeng Liu, Lu Jiang, Yanjie Fu, Xiaolin Li. "Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams". The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining，2021.

| 专利成果

| 科研项目

|主要荣誉

| 招生信息