Yingqiang Ge

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 71

Top Topics

Information Retrieval Evaluation

Symbolic Reasoning

Recommender Systems

Top Venues

Publications

Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) (2024)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. ECIR (3) (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR (2024)
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang
AIOS: LLM Agent Operating System. CoRR (2024)
Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. CoRR (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
Towards LLM-RecSys Alignment with Textual ID Learning. CoRR (2024)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR (2023)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI (2023)
Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
Fairness-aware Differentially Private Collaborative Filtering. CoRR (2023)
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. CoRR (2023)
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR (2023)
Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. WSDM (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. CoRR (2023)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang
LLM as OS (llmao), Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR (2023)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. ICTIR (2023)
Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang
Logistics Audience Expansion via Temporal Knowledge Graph. CIKM (2023)
Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
Fairness-aware Differentially Private Collaborative Filtering. WWW (Companion Volume) (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Efficient Non-Sampling Graph Neural Networks. Inf. 14 (8) (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. CoRR (2023)
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR (2023)
Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, Fei Wang, James Caverlee, Yongfeng Zhang
Automated Data Denoising for Recommendation. CoRR (2023)
Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. NeurIPS (2023)
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR (2022)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys (2022)
Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang
Improving Personalized Explanation Generation through Visualization. ACL (1) (2022)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR (2022)
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. SIGIR (2022)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: A Survey. CoRR (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. CoRR (2022)
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. CoRR (2022)
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
Fairness-aware Federated Matrix Factorization. RecSys (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW (2022)
Ruoyuan Gao, Yingqiang Ge, Chirag Shah
FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 73 (10) (2022)
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM (2022)
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
A Survey on Trustworthy Recommender Systems. CoRR (2022)
Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. WWW (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. SIGIR (2022)
Yunqi Li, Yingqiang Ge, Yongfeng Zhang
Tutorial on Fairness of Machine Learning in Recommender Systems. SIGIR (2021)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. CoRR (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CoRR (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. CoRR (2021)
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
Counterfactual Evaluation for Explainable AI. CoRR (2021)
Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
Counterfactual Explainable Recommendation. CIKM (2021)
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
Efficient Non-Sampling Knowledge Graph Embedding. CoRR (2021)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. CoRR (2021)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. WSDM (2021)
Yunqi Li, Yingqiang Ge, Yongfeng Zhang
CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. CIKM (2021)
Ruoyuan Gao, Yingqiang Ge, Chirag Shah
FAIR: Fairness-Aware Information Retrieval Evaluation. CoRR (2021)
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
Variation Control and Evaluation for Generative Slate Recommendations. WWW (2021)
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
User-oriented Fairness in Recommendation. WWW (2021)
Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
User-oriented Fairness in Recommendation. CoRR (2021)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
Towards Personalized Fairness based on Causal Notion. SIGIR (2021)
Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
Efficient Non-Sampling Knowledge Graph Embedding. WWW (2021)
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
Variation Control and Evaluation for Generative SlateRecommendations. CoRR (2021)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM (2020)
Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. CoRR (2020)
Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. CoRR (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR (2020)
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. SIGIR (2020)
Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. AAAI (2020)
Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR (2020)
Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
Understanding Echo Chambers in E-commerce Recommender Systems. CoRR (2020)
Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu, Fan Zhang, Yang Wang, Desheng Zhang
sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (3) (2019)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW (2019)