Zhankui He - RankMe

61 papers A* 14A 11Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticTagger: Structured Item Representation for Recommendation with LLM Agents. CoRR Zhouhang Xie, Bo Peng, Zhankui He, Ziqi Chen, Alice Han, Isabella Ye, Benjamin Coleman, Noveen Sachdeva, Fernando Pereira, Julian J. McAuley, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang, Randolph Brown
2026	J	`jnl`	PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution. CoRR Minghao Yan, Bo Peng, Benjamin Coleman, Ziqi Chen, Zhouhang Xie, Shuo Chen, Zhankui He, Noveen Sachdeva, Isabella Ye, Weili Wang, Chi Wang, Ed H. Chi, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	—	`conf`	Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. KDD (2) Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley
2025	J	`jnl`	Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025	J	`jnl`	LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. CoRR Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley
2025	A	`conf`	Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. WSDM Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2025	A	`conf`	Tutorial on Recommendation with Generative Models (Gen-RecSys). WSDM Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2025	A	`conf`	Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. WSDM Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024	A*	`conf`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	J	`jnl`	A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024	—	`—`	Accuracy, Explainability and Interactivity: Towards Conversational Recommender Systems Zhankui He
2024	—	`conf`	Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
2024	J	`jnl`	Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. CoRR Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024	J	`jnl`	Bridging Language and Items for Retrieval and Recommendation. CoRR Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
2024	A*	`conf`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	A*	`conf`	Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2024	—	`conf`	Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. NAACL-HLT Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024	J	`jnl`	Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. CoRR Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
2024	A*	`conf`	Fair Sequential Recommendation without User Demographics. SIGIR Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
2024	J	`jnl`	Large Language Model Driven Recommendation. CoRR Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci
2024	A	`conf`	Linear Recurrent Units for Sequential Recommendation. WSDM Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2024	J	`jnl`	Multi-modal Generative Models in Recommendation System. CoRR Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024	A	`conf`	Neighborhood-Based Collaborative Filtering for Conversational Recommendation. RecSys Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley
2024	A*	`conf`	RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. AAAI Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
2024	J	`jnl`	RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. CoRR Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
2024	J	`jnl`	Recommendation with Generative Models. CoRR Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024	J	`jnl`	Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. CoRR Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
2023	—	`conf`	Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
2023	J	`jnl`	Automatic Feature Fairness in Recommendation via Adversaries. CoRR Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
2023	J	`jnl`	Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
2023	A*	`conf`	Generative Flow Network for Listwise Recommendation. KDD Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
2023	J	`jnl`	Generative Flow Network for Listwise Recommendation. CoRR Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
2023	A	`conf`	Large Language Models as Zero-Shot Conversational Recommenders. CIKM Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2023	J	`jnl`	Large Language Models as Zero-Shot Conversational Recommenders. CoRR Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
2023	A*	`conf`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2023	J	`jnl`	Linear Recurrent Units for Sequential Recommendation. CoRR Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
2023	A*	`conf`	Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. SIGIR An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley
2023	A	`conf`	The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
2023	A*	`conf`	UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2022	A	`conf`	Bundle MCR: Towards Conversational Bundle Recommendation. RecSys Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022	J	`jnl`	Bundle MCR: Towards Conversational Bundle Recommendation. CoRR Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
2022	J	`jnl`	Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
2022	A*	`conf`	Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	J	`jnl`	Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	J	`jnl`	Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. CoRR An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley
2022	A	`conf`	Query-Aware Sequential Recommendation. CIKM Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley
2022	J	`jnl`	UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
2021	A	`conf`	Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021	J	`jnl`	Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
2021	A	`conf`	Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
2020	A*	`conf`	Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang
2019	J	`jnl`	Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. CoRR Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides
2019	A*	`conf`	MEAL: Multi-Model Ensemble via Adversarial Learning. AAAI Zhiqiang Shen, Zhankui He, Xiangyang Xue
2018	A*	`conf`	Adversarial Personalized Ranking for Recommendation. SIGIR Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua
2018	J	`jnl`	Adversarial Personalized Ranking for Recommendation. CoRR Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua
2018	J	`jnl`	MEAL: Multi-Model Ensemble via Adversarial Learning. CoRR Zhiqiang Shen, Zhankui He, Xiangyang Xue
2018	J	`jnl`	NAIS: Neural Attentive Item Similarity Model for Recommendation. CoRR Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua
2018	J	`jnl`	NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Trans. Knowl. Data Eng. Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua