Zhankui He

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Recommender Systems

Weakly Supervised

Top Venues

Publications

Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
Fair Sequential Recommendation without User Demographics. SIGIR (2024)
Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley
Bridging Language and Items for Retrieval and Recommendation. CoRR (2024)
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. NAACL-HLT (2024)
Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. CoRR (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR (2024)
Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT (2024)
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. AAAI (2024)
Zeyuan Zhang, Tanmay Laud, Zihang He, Xiaojie Chen, Xinshuang Liu, Zhouhang Xie, Julian J. McAuley, Zhankui He
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface. CoRR (2024)
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). KDD (2024)
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). CoRR (2024)
Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang
Auto-Encoding or Auto-Regression? A Reality Check on Causality of Self-Attention-Based Sequential Recommenders. CoRR (2024)
Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. CoRR (2024)
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
Linear Recurrent Units for Sequential Recommendation. WSDM (2024)
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD (2024)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. KDD (2023)
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. SIGIR (2023)
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
Large Language Models as Zero-Shot Conversational Recommenders. CoRR (2023)
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW (2023)
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD (2023)
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP (2023)
Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang
The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. CIKM (2023)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. CoRR (2023)
Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley
Large Language Models as Zero-Shot Conversational Recommenders. CIKM (2023)
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
Automatic Feature Fairness in Recommendation via Adversaries. CoRR (2023)
Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang
Linear Recurrent Units for Sequential Recommendation. CoRR (2023)
Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR (2023)
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR (2022)
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. CoRR (2022)
Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley
Query-Aware Sequential Recommendation. CIKM (2022)
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR (2022)
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR (2022)
Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR (2022)
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys (2022)
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR (2021)
Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM (2021)
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys (2021)
Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW (2020)
Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. CoRR (2019)
Zhiqiang Shen, Zhankui He, Xiangyang Xue
MEAL: Multi-Model Ensemble via Adversarial Learning. AAAI (2019)
Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua
Adversarial Personalized Ranking for Recommendation. CoRR (2018)
Zhiqiang Shen, Zhankui He, Xiangyang Xue
MEAL: Multi-Model Ensemble via Adversarial Learning. CoRR (2018)
Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua
NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua
NAIS: Neural Attentive Item Similarity Model for Recommendation. CoRR (2018)
Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua
Adversarial Personalized Ranking for Recommendation. SIGIR (2018)