Wei Wei

Orcid: 0000-0002-6653-3788

Affiliations:
  • Tianjin University, School of Electrical and Information Engineering, MOE Key Laboratory of Smart Grid, China (PhD 2004)


According to our database1, Wei Wei authored at least 19 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Comprehensive Survey on Self-Supervised Learning for Recommendation.
CoRR, 2024

GraphEdit: Large Language Models for Graph Structure Learning.
CoRR, 2024

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.
Proceedings of the ACM on Web Conference 2024, 2024

Representation Learning with Large Language Models for Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

LLMRec: Large Language Models with Graph Augmentation for Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SSLRec: A Self-Supervised Learning Framework for Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

GraphGPT: Graph Instruction Tuning for Large Language Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DiffMM: Multi-Modal Diffusion Model for Recommendation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

HiGPT: Heterogeneous Graph Language Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

EasyST: A Simple Framework for Spatio-Temporal Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Reliability Assessment of Hybrid AC/DC Distribution Systems Using Independent Contingency States Reduction Technique.
IEEE Trans. Smart Grid, September, 2023

SSLRec: A Self-Supervised Learning Library for Recommendation.
CoRR, 2023

Multi-Modal Self-Supervised Learning for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Graph Contrastive Learning for Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Multi-Relational Contrastive Learning for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Optimal configuration of cooperative stationary and mobile energy storage considering ambient temperature: A case for Winter Olympic Game.
CoRR, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2019
Reliability Assessment for AC/DC Hybrid Distribution Network With High Penetration of Renewable Energy.
IEEE Access, 2019

2017
Active distribution network sustainability assessment: A system dynamic approach.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017


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