Adversarial Personalized Ranking for Recommendation. - Xiangnan He 001; Zhankui He; Xiaoyu Du 002; Tat-Seng Chua (SIGIR, 2018)

NAIS: Neural Attentive Item Similarity Model for Recommendation. - Xiangnan He 001; Zhankui He; Jingkuan Song; Zhenguang Liu; Yu-Gang Jiang 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2018)

MEAL: Multi-Model Ensemble via Adversarial Learning. - Zhiqiang Shen; Zhankui He; Xiangyang Xue 001 (AAAI, 2019)

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. - Zhiqiang Shen; Zhankui He; Wanyun Cui; Jiahui Yu; Yutong Zheng; Chenchen Zhu; Marios Savvides (CoRR, 2019)

Weakly Supervised Attention for Hashtag Recommendation using Graph Data. - Amin Javari; Zhankui He; Zijie Huang 002; Jeetu Raj; Kevin Chen-Chuan Chang (WWW, 2020)

Locker: Locally Constrained Self-Attentive Sequential Recommendation. - Zhankui He; Handong Zhao; Zhe Lin 001; Zhaowen Wang; Ajinkya Kale; Julian J. McAuley (CIKM, 2021)

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. - Zhenrui Yue; Zhankui He; Huimin Zeng 001; Julian J. McAuley (RecSys, 2021)

Leashing the Inner Demons: Self-Detoxification for Language Models. - Canwen Xu; Zexue He; Zhankui He; Julian J. McAuley (AAAI, 2022)

Query-Aware Sequential Recommendation. - Zhankui He; Handong Zhao; Zhaowen Wang; Zhe Lin 001; Ajinkya Kale; Julian J. McAuley (CIKM, 2022)

Bundle MCR: Towards Conversational Bundle Recommendation. - Zhankui He; Handong Zhao; Tong Yu 001; Sungchul Kim; Fan Du; Julian J. McAuley (RecSys, 2022)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (CoRR, 2022)

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. - Zheng Chen 010; Ziyan Jiang; Fan Yang; Zhankui He; Yupeng Hou; Eunah Cho; Julian J. McAuley; Aram Galstyan; Xiaohua Hu 001; Jie Yang 028 (CIKM, 2023)

Large Language Models as Zero-Shot Conversational Recommenders. - Zhankui He; Zhouhang Xie; Rahul Jha; Harald Steck; Dawen Liang; Yesu Feng; Bodhisattwa Prasad Majumder; Nathan Kallus; Julian J. McAuley (CIKM, 2023)

Generative Flow Network for Listwise Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Zhankui He; Bowen Sun; Julian J. McAuley; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2023)

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. - Jiacheng Li 003; Zhankui He; Jingbo Shang; Julian J. McAuley (KDD, 2023)

Automatic Feature Fairness in Recommendation via Adversaries. - Hengchang Hu; Yiming Cao; Zhankui He; Samson Tan; Min-Yen Kan (SIGIR-AP, 2023)

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. - An Yan 003; Zhankui He; Jiacheng Li 003; Tianyang Zhang; Julian John McAuley (SIGIR, 2023)

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. - Yupeng Hou; Zhankui He; Julian J. McAuley; Wayne Xin Zhao (WWW, 2023)

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. - Yu Wang 170; Zexue He; Zhankui He; Hao Xu; Julian J. McAuley (AAAI, 2024)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. - Zeyuan Zhang; Tanmay Laud; Zihang He; Xiaojie Chen; Xinshuang Liu; Zhouhang Xie; Julian J. McAuley; Zhankui He (AAAI, 2024)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (KDD, 2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. - Junda Wu; Cheng-Chun Chang; Tong Yu 001; Zhankui He; Jianing Wang 002; Yupeng Hou; Julian J. McAuley (KDD, 2024)

Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. - Yu Xia 007; Tong Yu 001; Zhankui He; Handong Zhao; Julian J. McAuley; Shuai Li 010 (NAACL-HLT, 2024)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. - Se-eun Yoon; Zhankui He; Jessica Maria Echterhoff; Julian J. McAuley (NAACL-HLT, 2024)

Neighborhood-Based Collaborative Filtering for Conversational Recommendation. - Zhouhang Xie; Junda Wu; Hyunsik Jeon; Zhankui He; Harald Steck; Rahul Jha; Dawen Liang; Nathan Kallus; Julian J. McAuley (RecSys, 2024)

Fair Sequential Recommendation without User Demographics. - Huimin Zeng 001; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (SIGIR, 2024)

Linear Recurrent Units for Sequential Recommendation. - Zhenrui Yue; Yueqi Wang; Zhankui He; Huimin Zeng 001; Julian J. McAuley; Dong Wang 002 (WSDM, 2024)

Bridging Language and Items for Retrieval and Recommendation. - Yupeng Hou; Jiacheng Li 003; Zhankui He; An Yan 003; Xiusi Chen; Julian J. McAuley (CoRR, 2024)

Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. - Yueqi Wang; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (CoRR, 2024)

Large Language Model Driven Recommendation. - Anton Korikov; Scott Sanner; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Arnau Ramisa; René Vidal; Mahesh Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Multi-modal Generative Models in Recommendation System. - Arnau Ramisa; René Vidal; Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Mahesh Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Recommendation with Generative Models. - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasrizadeh; Silvia Milano; Francesco Ricci (CoRR, 2024)

Accuracy, Explainability and Interactivity: Towards Conversational Recommender Systems - Zhankui He (2024)

Tutorial on Recommendation with Generative Models (Gen-RecSys). - Yashar Deldjoo; Zhankui He; Julian J. McAuley; Anton Korikov; Scott Sanner; Arnau Ramisa; René Vidal; Maheswaran Sathiamoorthy; Atoosa Kasirzadeh; Silvia Milano (WSDM, 2025)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. - Zhankui He; Zhouhang Xie; Harald Steck; Dawen Liang; Rahul Jha; Nathan Kallus; Julian J. McAuley (WSDM, 2025)

Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. - Yueqi Wang; Zhankui He; Zhenrui Yue; Julian J. McAuley; Dong Wang 002 (WSDM, 2025)

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. - Yupeng Hou; Jianmo Ni; Zhankui He; Noveen Sachdeva; Wang-Cheng Kang; Ed H. Chi; Julian J. McAuley; Derek Zhiyuan Cheng (CoRR, 2025)

LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. - Hyunsik Jeon; Satoshi Koide; Yu Wang 170; Zhankui He; Julian J. McAuley (CoRR, 2025)