Chen Wang

Orcid: 0000-0001-5264-3305

Affiliations:
  • University of Illinois at Chicago, Department of Computer Science, IL, USA


According to our database1, Chen Wang authored at least 16 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
0
1
2
3
4
5
6
7
8
1
5
6
2
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Unified Pretraining for Recommendation via Task Hypergraphs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Knowledge Graph Context-Enhanced Diversified Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Instruction-based Hypergraph Pretraining.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Collaborative Alignment for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model.
CoRR, 2023

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph-based Alignment and Uniformity for Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-View Graph Convolution for Participant Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Pre-training Graph Neural Network for Cross Domain Recommendation.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Deep Fraud Detection on Non-attributed Graph.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021


  Loading...