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Learning to Ask Appropriate Questions in Conversational Recommendation


May 11, 2021
Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng

* to be published in SIGIR'2021 

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Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning


Apr 11, 2021
Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang

* Manuscript is under review 

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Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling


Apr 11, 2021
Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang

* Manuscript is under review 

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Enhanced Modality Transition for Image Captioning


Feb 23, 2021
Ziwei Wang, Yadan Luo, Zi Huang


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Graph Embedding for Recommendation against Attribute Inference Attacks


Jan 29, 2021
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang


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Semantic Disentangling Generalized Zero-Shot Learning


Jan 27, 2021
Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

* This is not the final version of this paper 

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Semantic Disentangling Generalized Zero-ShotLearning


Jan 20, 2021
Zhi Chen, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

* This is not the final version of this paper 

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Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning


Jan 09, 2021
Zhi Chen, Zi Huang, Jingjing Li, Zheng Zhang


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Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph


Nov 25, 2020
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh


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Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches


Aug 07, 2020
Zhi Chen, Sen Wang, Jingjing Li, Zi Huang

* ACM MM 2020 

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Adversarial Bipartite Graph Learning for Video Domain Adaptation


Jul 31, 2020
Yadan Luo, Zi Huang, Zijian Wang, Zheng Zhang, Mahsa Baktashmotlagh

* Proceedings of the 28th ACM International Conference on Multimedia (MM '20) 

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Progressive Graph Learning for Open-Set Domain Adaptation


Jun 30, 2020
Yadan Luo, Zijian Wang, Zi Huang, Mahsa Baktashmotlagh

* International Conference on Machine Learning (ICML 2020) 

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ORD: Object Relationship Discovery for Visual Dialogue Generation


Jun 15, 2020
Ziwei Wang, Zi Huang, Yadan Luo, Huimin Lu


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Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks


Apr 16, 2020
Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria


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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling


Nov 12, 2019
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang


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Deep Collaborative Discrete Hashing with Semantic-Invariant Structure


Nov 05, 2019
Zijian Wang, Zheng Zhang, Yadan Luo, Zi Huang

* SIGIR 2019 

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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications


Oct 23, 2019
Shaoxiong Ji, Shirui Pan, Xue Li, Erik Cambria, Guodong Long, Zi Huang


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CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language


Sep 21, 2019
Zhi Chen, Jingjing Li, Yadan Luo, Zi Huang, Yang Yang

* WACV 2020 

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Cycle-consistent Conditional Adversarial Transfer Networks


Sep 17, 2019
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang

* ACM Multimedia 2019 
* Codes at github.com/lijin118/3CATN 

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Alleviating Feature Confusion for Generative Zero-shot Learning


Sep 17, 2019
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

* ACM Multimedia 2019 
* Our codes can be found at github.com/lijin118/AFC-GAN 

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Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation


Aug 29, 2019
Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Jingjing Li, Yang Yang


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Agile Domain Adaptation


Jul 11, 2019
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang


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From Zero-Shot Learning to Cold-Start Recommendation


Jun 21, 2019
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang

* Accepted to AAAI 2019. Codes are available at https://github.com/lijin118/LLAE 

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