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Books and Theses
- 2024
[b1]Zhankui He:
Accuracy, Explainability and Interactivity: Towards Conversational Recommender Systems. University of California, San Diego, USA, 2024
Journal Articles
- 2018
- [j1]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): 2354-2366 (2018)
Conference and Workshop Papers
- 2024
- [c24]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. AAAI 2024: 9133-9141 - [c23]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: 23856-23858 - [c22]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: 3391-3401 - [c21]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: 6448-6458 - [c20]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: 1490-1504 - [c19]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: 4684-4695 - [c18]Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Neighborhood-Based Collaborative Filtering for Conversational Recommendation. RecSys 2024: 1045-1050 - [c17]Huimin Zeng, Zhankui He, Zhenrui Yue, Julian J. McAuley, Dong Wang:
Fair Sequential Recommendation without User Demographics. SIGIR 2024: 395-404 - [c16]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. WSDM 2024: 930-938 - 2023
- [c15]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: 720-730 - [c14]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: 5267-5270 - [c13]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD 2023: 1248-1257 - [c12]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: 1524-1534 - [c11]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian John McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. SIGIR 2023: 2251-2255 - [c10]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. SIGIR-AP 2023: 245-252 - [c9]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - 2022
- [c8]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI 2022: 11530-11537 - [c7]Zhankui He, Handong Zhao, Zhaowen Wang, Zhe Lin, Ajinkya Kale, Julian J. McAuley:
Query-Aware Sequential Recommendation. CIKM 2022: 4019-4023 - [c6]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298 - 2021
- [c5]Zhankui He, Handong Zhao, Zhe Lin, Zhaowen Wang, Ajinkya Kale, Julian J. McAuley:
Locker: Locally Constrained Self-Attentive Sequential Recommendation. CIKM 2021: 3088-3092 - [c4]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. RecSys 2021: 44-54 - 2020
- [c3]Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang:
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW 2020: 1038-1048 - 2019
- [c2]Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. AAAI 2019: 4886-4893 - 2018
- [c1]Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua:
Adversarial Personalized Ranking for Recommendation. SIGIR 2018: 355-364
Informal and Other Publications
- 2024
- [i25]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 abs/2402.15591 (2024) - [i24]Yupeng Hou, Jiacheng Li, Zhankui He, An Yan, Xiusi Chen, Julian J. McAuley:
Bridging Language and Items for Retrieval and Recommendation. CoRR abs/2403.03952 (2024) - [i23]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 abs/2403.06447 (2024) - [i22]Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley:
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. CoRR abs/2403.09738 (2024) - [i21]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 abs/2404.00579 (2024) - [i20]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 abs/2405.12119 (2024) - [i19]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 abs/2406.02048 (2024) - [i18]Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci:
Large Language Model Driven Recommendation. CoRR abs/2408.10946 (2024) - [i17]Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci:
Multi-modal Generative Models in Recommendation System. CoRR abs/2409.10993 (2024) - [i16]Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci:
Recommendation with Generative Models. CoRR abs/2409.15173 (2024) - 2023
- [i15]Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai:
Generative Flow Network for Listwise Recommendation. CoRR abs/2306.02239 (2023) - [i14]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 abs/2308.10053 (2023) - [i13]Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. CoRR abs/2309.15418 (2023) - [i12]Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang:
Linear Recurrent Units for Sequential Recommendation. CoRR abs/2310.02367 (2023) - [i11]Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley:
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation. CoRR abs/2312.11554 (2023) - 2022
- [i10]Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley:
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR abs/2203.03072 (2022) - [i9]An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang, Julian J. McAuley:
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations. CoRR abs/2207.00422 (2022) - [i8]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022) - [i7]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR abs/2209.13885 (2022) - [i6]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. CoRR abs/2210.12316 (2022) - 2021
- [i5]Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley:
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. CoRR abs/2109.01165 (2021) - 2019
- [i4]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 abs/1908.08520 (2019) - 2018
- [i3]Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua:
Adversarial Personalized Ranking for Recommendation. CoRR abs/1808.03908 (2018) - [i2]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. CoRR abs/1809.07053 (2018) - [i1]Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. CoRR abs/1812.02425 (2018)
Coauthor Index
aka: Julian John McAuley
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