Yaochen Zhu

Orcid: 0000-0001-6266-2788

According to our database1, Yaochen Zhu authored at least 26 papers between 2019 and 2025.

Collaborative distances:

Timeline

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Links

On csauthors.net:

Bibliography

2025
Knowledge Editing for Large Language Models: A Survey.
ACM Comput. Surv., March, 2025

2024
Deep Causal Reasoning for Recommendations.
ACM Trans. Intell. Syst. Technol., August, 2024

Global Graph Counterfactual Explanation: A Subgraph Mapping Approach.
CoRR, 2024

Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models.
CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.
CoRR, 2024

DPPA: Pruning Method for Large Language Model to Model Merging.
CoRR, 2024

Collaborative Large Language Model for Recommender Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding and Modeling Job Marketplace with Pretrained Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Knowledge Graph-Enhanced Large Language Models via Path Selection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems.
IEEE Trans. Knowl. Data Eng., May, 2023

Cross-Modal Variational Auto-Encoder for Content-Based Micro-Video Background Music Recommendation.
IEEE Trans. Multim., 2023

Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck.
IEEE Trans. Multim., 2023

Personality-aware Human-centric Multimodal Reasoning: A New Task.
CoRR, 2023

Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization.
CoRR, 2023

Path-Specific Counterfactual Fairness for Recommender Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Affective Video Content Analysis via Multimodal Deep Quality Embedding Network.
IEEE Trans. Affect. Comput., 2022

Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention.
CoRR, 2022

Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
Collaborative Variational Bandwidth Auto-encoder for Recommender Systems.
CoRR, 2021

2020
Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps.
Sensors, 2020

Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework.
CoRR, 2020

A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
Multimodal Deep Denoise Framework for Affective Video Content Analysis.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


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