Zhankui He
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
10
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders. | Yupeng Hou, Jiacheng Li, Xiangjun Fu, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley |
| 2025 | ICML | 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 |
| 2025 | KDD | Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation. | Hyunsik Jeon, Satoshi Koide, Yu Wang, Zhankui He, Julian J. McAuley |
| 2025 | WSDM | Tutorial on Recommendation with Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2025 | WSDM | 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 |
| 2025 | WSDM | Your Causal Self-Attentive Recommender Hosts a Lonely Neighborhood. | Yueqi Wang, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | AAAI | Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. | Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley |
| 2024 | AAAI | 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 |
| 2024 | KDD | A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys). | Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, Ren Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano |
| 2024 | KDD | CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. | Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley |
| 2024 | NAACL | Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. | Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li |
| 2024 | NAACL | Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. | Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley |
| 2024 | RecSys | 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 |
| 2024 | SIGIR | Fair Sequential Recommendation without User Demographics. | Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang |
| 2024 | WSDM | Linear Recurrent Units for Sequential Recommendation. | Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang |
| 2023 | CIKM | The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models. | Zheng Chen, Ziyan Jiang, Fan Yang, Zhankui He, Yupeng Hou, Eunah Cho, Julian J. McAuley, Aram Galstyan, Xiaohua Hu, Jie Yang |
| 2023 | CIKM | 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 |
| 2023 | KDD | Generative Flow Network for Listwise Recommendation. | Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | KDD | UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. | Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley |
| 2023 | WWW | Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. | Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao |
| 2023 | SIGIR | Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. | An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley |
| 2022 | AAAI | Leashing the Inner Demons: Self-Detoxification for Language Models. | Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley |
| 2022 | CIKM | Query-Aware Sequential Recommendation. | Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley |
| 2022 | RecSys | Bundle MCR: Towards Conversational Bundle Recommendation. | Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2021 | CIKM | Locker: Locally Constrained Self-Attentive Sequential Recommendation. | Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley |
| 2021 | RecSys | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. | Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
| 2020 | WWW | Weakly Supervised Attention for Hashtag Recommendation using Graph Data. | Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang |
| 2019 | AAAI | MEAL: Multi-Model Ensemble via Adversarial Learning. | Zhiqiang Shen, Zhankui He, Xiangyang Xue |
| 2018 | SIGIR | Adversarial Personalized Ranking for Recommendation. | Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua |