Yang Zhang

According to our database, Yang Zhang authored at least 50 papers between 2012 and 2024.

Collaborative distances:

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

2024

Mitigating Hidden Confounding Effects for Causal Recommendation.

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

IEEE Trans. Knowl. Data Eng., September, 2024

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.

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

CoRR, 2024

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.

Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua

CoRR, 2024

Personalized Image Generation with Large Multimodal Models.

Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, Xiangnan He

CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

CoRR, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

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

CoRR, 2024

Exact and Efficient Unlearning for Large Language Model-based Recommendation.

Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

CoRR, 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

Large Language Models for Recommendation: Progresses and Future Directions.

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 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

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.

Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models are Learnable Planners for Long-Term Recommendation.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting.

Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics, 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

Multistep Multiagent Reinforcement Learning for Optimal Energy Schedule Strategy of Charging Stations in Smart Grid.

Yang Zhang, Qingyu Yang, Dou An, Donghe Li, Zongze Wu

IEEE Trans. Cybern., 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

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

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

BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market.

Yang Zhang, Bo Tang, Qingyu Yang, Dou An, Hongyin Tang, Chenyang Xi, Xueying Li, Feiyu Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Coordination Between Individual Agents in Multi-Agent Reinforcement Learning.

Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Towards Differential Privacy-Based Online Double Auction for Smart Grid.

Donghe Li, Qingyu Yang, Wei Yu, Dou An, Yang Zhang, Wei Zhao

IEEE Trans. Inf. Forensics Secur., 2020

EV charging bidding by multi-DQN reinforcement learning in electricity auction market.

Yang Zhang, Zhengfeng Zhang, Qingyu Yang, Dou An, Donghe Li, Ce Li

Neurocomputing, 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

2019

An Online Continuous Progressive Second Price Auction for Electric Vehicle Charging.

Yang Zhang, Qingyu Yang, Wei Yu, Dou An, Donghe Li, Wei Zhao

IEEE Internet Things J., 2019

Defending Against Data Integrity Attacks in Smart Grid: A Deep Reinforcement Learning-Based Approach.

Dou An, Qingyu Yang, Wenmao Liu, Yang Zhang

IEEE Access, 2019

2017

Towards truthful auction for big data trading.

Dou An, Qingyu Yang, Wei Yu, Donghe Li, Yang Zhang, Wei Zhao

Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

2012

A novel network delay based side-channel attack: Modeling and defense.

Zhen Ling, Junzhou Luo, Yang Zhang, Ming Yang, Xinwen Fu, Wei Yu

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Fingerprint attack against touch-enabled devices.

Yang Zhang, Peng Xia, Junzhou Luo, Zhen Ling, Benyuan Liu, Xinwen Fu

Proceedings of the SPSM'12, 2012