Zhankui He

According to our database, Zhankui He authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation.

Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley

CoRR, 2024

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

CoRR, 2024

Bridging Language and Items for Retrieval and Recommendation.

Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley

CoRR, 2024

Linear Recurrent Units for Sequential Recommendation.

Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.

Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders.

Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao

Proceedings of the ACM Web Conference 2023, 2023

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations.

An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Automatic Feature Fairness in Recommendation via Adversaries.

Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation.

Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generative Flow Network for Listwise Recommendation.

Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation.

Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley

CoRR, 2022

Bundle MCR: Towards Conversational Bundle Recommendation.

Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Query-Aware Sequential Recommendation.

Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Leashing the Inner Demons: Self-Detoxification for Language Models.

Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.

Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Locker: Locally Constrained Self-Attentive Sequential Recommendation.

Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Weakly Supervised Attention for Hashtag Recommendation using Graph Data.

Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

MEAL: Multi-Model Ensemble via Adversarial Learning.

Zhiqiang Shen, Zhankui He, Xiangyang Xue

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

NAIS: Neural Attentive Item Similarity Model for Recommendation.

Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2018

Adversarial Personalized Ranking for Recommendation.

Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018