Yingqiang Ge - RankMe

80 papers A* 16A 10Misc 1Journal 46Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook. CoRR Yunbei Zhang, Kai Mei, Ming Liu, Janet Wang, Dimitris N. Metaxas, Xiao Wang, Jihun Hamm, Yingqiang Ge
2026	J	`jnl`	SafeCRS: Personalized Safety Alignment for LLM-Based Conversational Recommender Systems. CoRR Haochang Hao, Yifan Xu, Xinzhuo Li, Yingqiang Ge, Lu Cheng
2026	J	`jnl`	Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning. CoRR Yunbei Zhang, Yingqiang Ge, Weijie Xu, Yuhui Xu, Jihun Hamm, Chandan K. Reddy
2025	J	`jnl`	A Survey on Trustworthy Recommender Systems. Trans. Recomm. Syst. Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
2025	J	`jnl`	Causal Inference for Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2025	J	`jnl`	Report on the 1st Workshop on Human-Centered Recommender Systems (HCRS 2025) at TheWebConf 2025. SIGIR Forum Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2025	—	`conf`	The 1st Workshop on Human-Centered Recommender Systems. WWW (Companion Volume) Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2024	J	`jnl`	AIOS: LLM Agent Operating System. CoRR Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang
2024	—	`conf`	GenRec: Large Language Model for Generative Recommendation. ECIR (3) Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2024	A*	`conf`	IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024	J	`jnl`	PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. CoRR Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang
2024	J	`jnl`	The 1st Workshop on Human-Centered Recommender Systems. CoRR Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun
2024	J	`jnl`	Towards LLM-RecSys Alignment with Textual ID Learning. CoRR Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024	—	`conf`	UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
2023	J	`jnl`	Automated Data Denoising for Recommendation. CoRR Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang
2023	Misc	`conf`	Causal Collaborative Filtering. ICTIR Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
2023	J	`jnl`	Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	A	`conf`	Counterfactual Collaborative Reasoning. WSDM Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
2023	J	`jnl`	Counterfactual Collaborative Reasoning. CoRR Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
2023	J	`jnl`	Efficient Non-Sampling Graph Neural Networks. Inf. Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	J	`jnl`	Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
2023	—	`conf`	Fairness-aware Differentially Private Collaborative Filtering. WWW (Companion Volume) Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
2023	J	`jnl`	Fairness-aware Differentially Private Collaborative Filtering. CoRR Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying
2023	J	`jnl`	GenRec: Large Language Model for Generative Recommendation. CoRR Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2023	—	`conf`	How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2023	J	`jnl`	How to Index Item IDs for Recommendation Foundation Models. CoRR Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2023	J	`jnl`	LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang
2023	A	`conf`	Logistics Audience Expansion via Temporal Knowledge Graph. CIKM Hua Yan, Yingqiang Ge, Haotian Wang, Desheng Zhang, Yu Yang
2023	A*	`conf`	OpenAGI: When LLM Meets Domain Experts. NeurIPS Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
2023	J	`jnl`	OpenAGI: When LLM Meets Domain Experts. CoRR Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
2023	J	`jnl`	UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang
2023	A	`conf`	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
2023	J	`jnl`	User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
2023	J	`jnl`	War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. CoRR Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang
2022	J	`jnl`	A Survey on Trustworthy Recommender Systems. CoRR Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
2022	A*	`conf`	AutoLossGen: Automatic Loss Function Generation for Recommender Systems. SIGIR Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
2022	J	`jnl`	AutoLossGen: Automatic Loss Function Generation for Recommender Systems. CoRR Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
2022	A*	`conf`	Explainable Fairness in Recommendation. SIGIR Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
2022	J	`jnl`	Explainable Fairness in Recommendation. CoRR Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
2022	J	`jnl`	FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. Ruoyuan Gao, Yingqiang Ge, Chirag Shah
2022	J	`jnl`	Fairness in Recommendation: A Survey. CoRR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
2022	A	`conf`	Fairness-aware Federated Matrix Factorization. RecSys Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
2022	—	`conf`	Improving Personalized Explanation Generation through Visualization. ACL (1) Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang
2022	A*	`conf`	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
2022	J	`jnl`	Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
2022	A*	`conf`	Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. WWW Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang
2022	A	`conf`	Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2022	J	`jnl`	Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2022	A	`conf`	Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
2022	J	`jnl`	Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
2021	A	`conf`	CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. CIKM Yunqi Li, Yingqiang Ge, Yongfeng Zhang
2021	J	`jnl`	Causal Collaborative Filtering. CoRR Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
2021	J	`jnl`	Counterfactual Evaluation for Explainable AI. CoRR Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
2021	A	`conf`	Counterfactual Explainable Recommendation. CIKM Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
2021	J	`jnl`	Counterfactual Explainable Recommendation. CoRR Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
2021	A*	`conf`	Efficient Non-Sampling Knowledge Graph Embedding. WWW Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
2021	J	`jnl`	Efficient Non-Sampling Knowledge Graph Embedding. CoRR Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
2021	J	`jnl`	FAIR: Fairness-Aware Information Retrieval Evaluation. CoRR Ruoyuan Gao, Yingqiang Ge, Chirag Shah
2021	—	`conf`	Learning Causal Explanations for Recommendation. CSR-Sim4IR@SIGIR Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang
2021	A	`conf`	Towards Long-term Fairness in Recommendation. WSDM Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2021	J	`jnl`	Towards Long-term Fairness in Recommendation. CoRR Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2021	A*	`conf`	Towards Personalized Fairness based on Causal Notion. SIGIR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2021	J	`jnl`	Towards Personalized Fairness based on Causal Notion. CoRR Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2021	A*	`conf`	Tutorial on Fairness of Machine Learning in Recommender Systems. SIGIR Yunqi Li, Yingqiang Ge, Yongfeng Zhang
2021	A*	`conf`	User-oriented Fairness in Recommendation. WWW Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2021	J	`jnl`	User-oriented Fairness in Recommendation. CoRR Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2021	A*	`conf`	Variation Control and Evaluation for Generative Slate Recommendations. WWW Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
2021	J	`jnl`	Variation Control and Evaluation for Generative SlateRecommendations. CoRR Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
2020	A*	`conf`	ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. AAAI Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo
2020	J	`jnl`	ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. CoRR Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo
2020	A	`conf`	CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CIKM Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
2020	J	`jnl`	CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. CoRR Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
2020	A*	`conf`	Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
2020	J	`jnl`	Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
2020	A*	`conf`	Learning Personalized Risk Preferences for Recommendation. SIGIR Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020	J	`jnl`	Learning Personalized Risk Preferences for Recommendation. CoRR Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020	A*	`conf`	Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
2020	J	`jnl`	Understanding Echo Chambers in E-commerce Recommender Systems. CoRR Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
2019	A*	`conf`	Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
2019	J	`jnl`	sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Guang Wang, Wenzhong Li, Jun Zhang, Yingqiang Ge, Zuohui Fu, Fan Zhang, Yang Wang, Desheng Zhang