Yang Zhang

According to our database, Yang Zhang authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua

CoRR, 2024

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.

Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.

Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He

IEEE Trans. Big Data, December, 2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xin-Yu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 2023

Addressing Confounding Feature Issue for Causal Recommendation.

Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang

ACM Trans. Inf. Syst., 2023

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.

Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.

Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He

CoRR, 2023

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

Recommendation Unlearning via Influence Function.

Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He

CoRR, 2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Recommendation: Progresses and Future Directions.

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.

Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Trustworthy Recommender System: A Faithful and Responsible Recommendation Perspective.

Yang Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Large Language Models for Recommendation: Progresses and Future Directions.

Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.

Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework.

Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The 1st Workshop on Recommendation with Generative Models.

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Mitigating Hidden Confounding Effects for Causal Recommendation.

Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He

CoRR, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Causal Intervention for Leveraging Popularity Bias in Recommendation.

Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

How to Retrain Recommender System?: A Sequential Meta-Learning Method.

Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020