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 28 papers between 2021 and 2025.

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

Timeline

2021
2022
2023
2024
2025
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5
10
15
20
6
2
1
12
3
3
1

Legend:

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Article 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024

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

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.
CoRR, 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

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

Enhancing Complex Question Answering via LLM Pseudo-Document and Adaptive Retrieval.
Proceedings of the Web Information Systems Engineering - WISE 2024, 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

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Make Large Language Model a Better Ranker.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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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