Yingqiang Ge

According to our database, Yingqiang Ge authored at least 51 papers between 2019 and 2024.

Collaborative distances:

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

2024

The 1st Workshop on Human-Centered Recommender Systems.

Kaike Zhang, Yunfan Wu, Yougang lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun

CoRR, 2024

Towards LLM-RecSys Alignment with Textual ID Learning.

Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang

CoRR, 2024

AIOS: LLM Agent Operating System.

Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang

CoRR, 2024

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model.

Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang

CoRR, 2024

IDGenRec: LLM-RecSys Alignment with Textual ID Learning.

Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang

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

GenRec: Large Language Model for Generative Recommendation.

Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

Proceedings of the Advances in Information Retrieval, 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Fairness in Recommendation: Foundations, Methods, and Applications.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

ACM Trans. Intell. Syst. Technol., October, 2023

Efficient Non-Sampling Graph Neural Networks.

Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

Inf., 2023

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem.

Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang

CoRR, 2023

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars.

Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang

CoRR, 2023

UP5: Unbiased Foundation Model for Fairness-aware Recommendation.

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang

CoRR, 2023

Automated Data Denoising for Recommendation.

Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang

CoRR, 2023

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang

CoRR, 2023

Causal Inference for Recommendation: Foundations, Methods and Applications.

Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang

CoRR, 2023

Fairness-aware Differentially Private Collaborative Filtering.

Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Counterfactual Collaborative Reasoning.

Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

How to Index Item IDs for Recommendation Foundation Models.

Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

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

OpenAGI: When LLM Meets Domain Experts.

Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal Collaborative Filtering.

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.

Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Logistics Audience Expansion via Temporal Knowledge Graph.

Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang

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

2022

FAIR: Fairness-aware information retrieval evaluation.

Ruoyuan Gao, Yingqiang Ge, Chirag Shah

J. Assoc. Inf. Sci. Technol., 2022

A Survey on Trustworthy Recommender Systems.

Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang

CoRR, 2022

Fairness in Recommendation: A Survey.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang

CoRR, 2022

Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning.

Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang

CoRR, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation.

Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning.

Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AutoLossGen: Automatic Loss Function Generation for Recommender Systems.

Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Explainable Fairness in Recommendation.

Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Fairness-aware Federated Matrix Factorization.

Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Improving Personalized Explanation Generation through Visualization.

Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Counterfactual Evaluation for Explainable AI.

Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang

CoRR, 2021

Variation Control and Evaluation for Generative SlateRecommendations.

Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

CoRR, 2021

Variation Control and Evaluation for Generative Slate Recommendations.

Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Efficient Non-Sampling Knowledge Graph Embedding.

Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

User-oriented Fairness in Recommendation.

Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang

Proceedings of the WSDM '21, 2021

Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li, Yingqiang Ge, Yongfeng Zhang

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

Towards Personalized Fairness based on Causal Notion.

Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

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

Counterfactual Explainable Recommendation.

Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.

Yunqi Li, Yingqiang Ge, Yongfeng Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Understanding Echo Chambers in E-commerce Recommender Systems.

Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang

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

Learning Personalized Risk Preferences for Recommendation.

Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang

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

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo

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

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.

Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs.

Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets.

Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu, Fan Zhang, Yang Wang, Desheng Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.

Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 2019