Zhankui He | DeepAI

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Featured Co-authors

Tat-Seng Chua
173 publications
Xiangnan He
124 publications
Julian McAuley
120 publications
Xiangyang Xue
114 publications
Yu-Gang Jiang
101 publications
Nathan Kallus
88 publications
Wayne Xin Zhao
87 publications
Jingkuan Song
68 publications
Jingbo Shang
61 publications
Peng Jiang
59 publications
Zhiqiang Shen
54 publications

∙ 08/19/2023

Large Language Models as Zero-Shot Conversational Recommenders

In this paper, we present empirical studies on conversational recommenda...

0 Zhankui He, et al. ∙

∙ 06/04/2023

Generative Flow Network for Listwise Recommendation

Personalized recommender systems fulfill the daily demands of customers ...

0 Shuchang Liu, et al. ∙

∙ 10/22/2022

Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders

Recently, the generality of natural language text has been leveraged to ...

0 Yupeng Hou, et al. ∙

∙ 09/28/2022

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation

Personalized natural language generation for explainable recommendations...

0 Jiacheng Li, et al. ∙

∙ 07/26/2022

Bundle MCR: Towards Conversational Bundle Recommendation

Bundle recommender systems recommend sets of items (e.g., pants, shirt, ...

0 Zhankui He, et al. ∙

∙ 06/30/2022

Personalized Showcases: Generating Multi-Modal Explanations for Recommendations

Existing explanation models generate only text for recommendations but s...

0 An Yan, et al. ∙

∙ 03/06/2022

Leashing the Inner Demons: Self-Detoxification for Language Models

Language models (LMs) can reproduce (or amplify) toxic language seen dur...

0 Canwen Xu, et al. ∙

∙ 09/01/2021

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

We investigate whether model extraction can be used to "steal" the weigh...

0 Zhenrui Yue, et al. ∙

∙ 08/22/2019

Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement

Generic Image recognition is a fundamental and fairly important visual p...

24 Zhiqiang Shen, et al. ∙

∙ 12/06/2018

MEAL: Multi-Model Ensemble via Adversarial Learning

Often the best performing deep neural models are ensembles of multiple b...

0 Zhiqiang Shen, et al. ∙

∙ 09/19/2018

NAIS: Neural Attentive Item Similarity Model for Recommendation

Item-to-item collaborative filtering (aka. item-based CF) has been long ...

0 Xiangnan He, et al. ∙

∙ 08/12/2018

Adversarial Personalized Ranking for Recommendation

Item recommendation is a personalized ranking task. To this end, many re...

0 Xiangnan He, et al. ∙

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