Qihao Shi

According to our database, Qihao Shi authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation.

Siyi Lin, Sheng Zhou, Jiawei Chen, Yan Feng, Qihao Shi, Chun Chen, Ying Li, Can Wang

ACM Trans. Inf. Syst., November, 2024

Complementary influence maximization under comparative linear threshold model.

Wujian Yang, Qihao Shi, Jiangzhe Yan, Can Wang, Mingli Song, Minghui Wu

Expert Syst. Appl., March, 2024

Robust misinformation prevention with uncertainty on suspicious nodes.

Qihao Shi, Wujian Yang, Can Wang, Mingli Song

Neurocomputing, 2024

Distributionally Robust Graph-based Recommendation System.

Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang

Proceedings of the ACM on Web Conference 2024, 2024

Fast Query Answering by Labeling Index on Uncertain Graphs.

Zeyu Wang, Qihao Shi, Jiawei Chen, Can Wang, Mingli Song, Xinyu Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Adversarial gradient-based meta learning with metric-based test.

Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen

Knowl. Based Syst., March, 2023

SamWalker++: Recommendation With Informative Sampling Strategy.

Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

IEEE Trans. Knowl. Data Eng., 2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation.

Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Sequence Networked Submodular Maximization.

Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptive Seed Minimization for Diversified Influence Maximization.

Yangguang Zhang, Qi Chen, Ji Shen, Qihao Shi, Can Wang

Proceedings of the 5th International Conference on Data Science and Information Technology, 2022

2021

Profit maximization for competitive social advertising.

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang

Theor. Comput. Sci., 2021

Efficient diversified influence maximization with adaptive policies.

Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen

Knowl. Based Syst., 2021

Efficient influence spread management via budget allocation at community scale.

Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen

Expert Syst. Appl., 2021

2020

DGE: Deep Generative Network Embedding Based on Commonality and Individuality.

Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Location driven influence maximization: Online spread via offline deployment.

Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen

Knowl. Based Syst., 2019

Post and repost: A holistic view of budgeted influence maximization.

Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen

Neurocomputing, 2019

Social recommendation based on users' attention and preference.

Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen

Neurocomputing, 2019

SamWalker: Social Recommendation with Informative Sampling Strategy.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

Proceedings of the World Wide Web Conference, 2019

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies.

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Social Recommendation with Missing Not at Random Data.

Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen

Proceedings of the IEEE International Conference on Data Mining, 2018