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2020 – today
- 2024
[j6]Yaochen Zhu
, Jing Yi, Jiayi Xie, Zhenzhong Chen:
Deep Causal Reasoning for Recommendations. ACM Trans. Intell. Syst. Technol. 15(4): 68:1-68:25 (2024)- [c8]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c7]Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen:
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. KDD 2024: 944-955 - [c6]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD 2024: 6677-6687 - [c5]Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. WWW 2024: 3162-3172 - [i18]Yaochen Zhu, Rui Xia, Jiajun Zhang:
DPPA: Pruning Method for Large Language Model to Model Merging. CoRR abs/2403.02799 (2024) - [i17]Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu:
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR abs/2403.08946 (2024) - [i16]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i15]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR abs/2406.13966 (2024) - [i14]Linxin Guo, Yaochen Zhu, Min Gao, Yinghui Tao, Junliang Yu, Chen Chen:
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations. CoRR abs/2407.05126 (2024) - [i13]Jinliang Lu, Ziliang Pang, Min Xiao, Yaochen Zhu, Rui Xia, Jiajun Zhang:
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models. CoRR abs/2407.06089 (2024) - [i12]Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li:
Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR abs/2408.04381 (2024) - 2023
- [j5]Yaochen Zhu, Zhenzhong Chen:
Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems. IEEE Trans. Knowl. Data Eng. 35(5): 5371-5385 (2023) - [j4]Jiayi Xie, Yaochen Zhu, Zhenzhong Chen:
Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck. IEEE Trans. Multim. 25: 24-37 (2023) - [j3]Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen:
Cross-Modal Variational Auto-Encoder for Content-Based Micro-Video Background Music Recommendation. IEEE Trans. Multim. 25: 515-528 (2023) - [c4]Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Path-Specific Counterfactual Fairness for Recommender Systems. KDD 2023: 3638-3649 - [i11]Yaochen Zhu, Jing Ma, Jundong Li:
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization. CoRR abs/2301.00910 (2023) - [i10]Yaochen Zhu, Xiangqing Shen, Rui Xia:
Personality-aware Human-centric Multimodal Reasoning: A New Task. CoRR abs/2304.02313 (2023) - [i9]Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Path-Specific Counterfactual Fairness for Recommender Systems. CoRR abs/2306.02615 (2023) - [i8]Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li:
Knowledge Editing for Large Language Models: A Survey. CoRR abs/2310.16218 (2023) - [i7]Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. CoRR abs/2311.01343 (2023) - 2022
- [j2]Yaochen Zhu, Zhenzhong Chen, Feng Wu:
Affective Video Content Analysis via Multimodal Deep Quality Embedding Network. IEEE Trans. Affect. Comput. 13(3): 1401-1415 (2022) - [c3]Yaochen Zhu, Zhenzhong Chen:
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. WWW 2022: 2379-2387 - [i6]Yaochen Zhu, Jing Yi, Jiayi Xie, Zhenzhong Chen:
Deep Causal Reasoning for Recommendations. CoRR abs/2201.02088 (2022) - [i5]Yaochen Zhu, Xubin Ren, Jing Yi, Zhenzhong Chen:
Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. CoRR abs/2205.14380 (2022) - [i4]Yaochen Zhu, Zhenzhong Chen:
Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. CoRR abs/2211.11662 (2022) - 2021
- [i3]Yaochen Zhu, Zhenzhong Chen:
Collaborative Variational Bandwidth Auto-encoder for Recommender Systems. CoRR abs/2105.07597 (2021) - [i2]Jing Yi, Yaochen Zhu, Jiayi Xie, Zhenzhong Chen:
Cross-modal Variational Auto-encoder for Content-based Micro-video Background Music Recommendation. CoRR abs/2107.07268 (2021) - 2020
- [j1]Yunsheng Zhang, Yaochen Zhu, Haifeng Li, Siyang Chen, Jian Peng, Ling Zhao:
Automatic Changes Detection between Outdated Building Maps and New VHR Images Based on Pre-Trained Fully Convolutional Feature Maps. Sensors 20(19): 5538 (2020) - [c2]Jiayi Xie, Yaochen Zhu, Zhibin Zhang, Jian Peng, Jing Yi, Yaosi Hu, Hongyi Liu, Zhenzhong Chen:
A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction. WWW 2020: 2542-2548 - [i1]Yaochen Zhu, Jiayi Xie, Zhenzhong Chen:
Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework. CoRR abs/2003.12724 (2020)
2010 – 2019
- 2019
- [c1]Yaochen Zhu, Zhenzhong Chen, Feng Wu:
Multimodal Deep Denoise Framework for Affective Video Content Analysis. ACM Multimedia 2019: 130-138
Coauthor Index
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