Shuchang Liu

Affiliations:
  • Rutgers University, Piscataway, NJ, USA


According to our database1, Shuchang Liu authored at least 16 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
VIP5: Towards Multimodal Foundation Models for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Survey on Trustworthy Recommender Systems.
CoRR, 2022

Fairness in Recommendation: A Survey.
CoRR, 2022

Graph Collaborative Reasoning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Explainable Fairness in Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Fairness-aware Federated Matrix Factorization.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
Counterfactual Evaluation for Explainable AI.
CoRR, 2021

Variation Control and Evaluation for Generative SlateRecommendations.
CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.
CoRR, 2021

Variation Control and Evaluation for Generative Slate Recommendations.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.
Proceedings of the WSDM '21, 2021

FedCT: Federated Collaborative Transfer for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020
Learning Post-Hoc Causal Explanations for Recommendation.
CoRR, 2020

Learning Personalized Risk Preferences for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
Maximizing Marginal Utility per Dollar for Economic Recommendation.
Proceedings of the World Wide Web Conference, 2019


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