Zhi Zheng

Orcid: 0000-0001-7758-8904

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Hefei, China


According to our database1, Zhi Zheng authored at least 21 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
A survey on large language models for recommendation.
World Wide Web (WWW), September, 2024

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.
CoRR, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR, 2024

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation.
CoRR, 2024

Make Large Language Model a Better Ranker.
CoRR, 2024

Harnessing Large Language Models for Text-Rich Sequential Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Modal Complementarity Based on Multimodal Large Language Model for Text-Based Person Retrieval.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst., January, 2023

Generative Job Recommendations with Large Language Model.
CoRR, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
Drug Package Recommendation via Interaction-aware Graph Induction.
Proceedings of the WWW '21: The Web Conference 2021, 2021


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