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Hongzhi Yin
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Publications
- 2024
- [j116]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. IEEE Trans. Knowl. Data Eng. 36(1): 335-355 (2024) - [c173]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR 2024: 2199-2209 - [i152]Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang:
CaseLink: Inductive Graph Learning for Legal Case Retrieval. CoRR abs/2403.17780 (2024) - [i137]Hung Vinh Tran, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui, Hongzhi Yin:
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems. CoRR abs/2406.17335 (2024) - [i135]Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin:
Physics-guided Active Sample Reweighting for Urban Flow Prediction. CoRR abs/2407.13605 (2024) - 2023
- [j98]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 2103-2117 (2023) - [j96]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3645-3657 (2023) - [j95]Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. 35(4): 3991-4002 (2023) - [j89]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4345-4358 (2023) - [j87]Peng-Fei Zhang, Guangdong Bai, Hongzhi Yin, Zi Huang:
Proactive Privacy-preserving Learning for Cross-modal Retrieval. ACM Trans. Inf. Syst. 41(2): 35:1-35:23 (2023) - [c144]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. WWW 2023: 339-348 - [i128]Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin:
Semi-decentralized Federated Ego Graph Learning for Recommendation. CoRR abs/2302.10900 (2023) - [i118]Xuhui Ren, Tong Chen, Quoc Viet Hung Nguyen, Lizhen Cui, Zi Huang, Hongzhi Yin:
Explicit Knowledge Graph Reasoning for Conversational Recommendation. CoRR abs/2305.00783 (2023) - [i94]Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning with Graph Condensation. CoRR abs/2312.14439 (2023) - 2022
- [j65]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3727-3739 (2022) - [j59]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-Based Recommendation. ACM Trans. Inf. Syst. 40(2): 35:1-35:24 (2022) - [c138]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE 2022: 1533-1534 - [c135]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. ICDM 2022: 428-437 - [c129]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. WSDM 2022: 813-823 - [c128]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion. WSDM 2022: 1415-1423 - [i92]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks. CoRR abs/2201.02757 (2022) - [i86]Junliang Yu, Hongzhi Yin, Xin Xia, Tong Chen, Jundong Li, Zi Huang:
Self-Supervised Learning for Recommender Systems: A Survey. CoRR abs/2203.15876 (2022) - [i67]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation. CoRR abs/2209.03735 (2022) - [i63]Yang Li, Tong Chen, Peng-Fei Zhang, Zi Huang, Hongzhi Yin:
Self-supervised Graph-based Point-of-interest Recommendation. CoRR abs/2210.12506 (2022) - 2021
- [c115]Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Xiangliang Zhang, Kai Zheng:
DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. ICDE 2021: 2033-2038 - [c112]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. ICDM 2021: 519-528 - [c111]Yang Li, Tong Chen, Yadan Luo, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. IJCAI 2021: 1491-1497 - [c109]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. KDD 2021: 138-147 - [c105]Peng-Fei Zhang, Jiasheng Duan, Zi Huang, Hongzhi Yin:
Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval. ACM Multimedia 2021: 1517-1525 - [c104]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. ACM Multimedia 2021: 3844-3852 - [c103]Peng-Fei Zhang, Yang Li, Zi Huang, Hongzhi Yin:
Privacy Protection in Deep Multi-modal Retrieval. SIGIR 2021: 634-643 - [c101]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021: 808-817 - [c93]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. WWW 2021: 3002-3014 - [i55]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. CoRR abs/2101.12549 (2021) - [i52]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i51]Tong Chen, Hongzhi Yin, Xiangliang Zhang, Zi Huang, Yang Wang, Meng Wang:
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling. CoRR abs/2104.01716 (2021) - [i49]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR abs/2105.04774 (2021) - [i47]Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang:
Learning Elastic Embeddings for Customizing On-Device Recommenders. CoRR abs/2106.02223 (2021) - [i44]Yang Li, Tong Chen, Hongzhi Yin, Zi Huang:
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation. CoRR abs/2106.15814 (2021) - [i43]Ruihong Qiu, Zi Huang, Tong Chen, Hongzhi Yin:
Exploiting Positional Information for Session-based Recommendation. CoRR abs/2107.00846 (2021) - [i42]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks. CoRR abs/2107.00852 (2021) - [i41]Ruihong Qiu, Sen Wang, Zhi Chen, Hongzhi Yin, Zi Huang:
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation. CoRR abs/2107.02390 (2021) - [i38]Ruihong Qiu, Zi Huang, Hongzhi Yin:
Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation. CoRR abs/2109.00368 (2021) - [i35]Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang:
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. CoRR abs/2110.05730 (2021) - [i34]Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, Lizhen Cui:
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion. CoRR abs/2110.10926 (2021) - 2020
- [j37]Ruihong Qiu, Zi Huang, Jingjing Li, Hongzhi Yin:
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks. ACM Trans. Inf. Syst. 38(3): 22:1-22:23 (2020) - [j36]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [c87]Lei Guo, Hongzhi Yin, Qinyong Wang, Bin Cui, Zi Huang, Lizhen Cui:
Group Recommendation with Latent Voting Mechanism. ICDE 2020: 121-132 - [c81]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. SIGIR 2020: 669-678 - [c80]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. SIGIR 2020: 689-698 - [c79]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. SIGIR 2020: 891-900 - [c77]Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW 2020: 906-916 - [i27]Junliang Yu, Hongzhi Yin, Jundong Li, Min Gao, Zi Huang, Lizhen Cui:
Enhance Social Recommendation with Adversarial Graph Convolutional Networks. CoRR abs/2004.02340 (2020) - [i26]Tong Chen, Hongzhi Yin, Guanhua Ye, Zi Huang, Yang Wang, Meng Wang:
Try This Instead: Personalized and Interpretable Substitute Recommendation. CoRR abs/2005.09344 (2020) - [i25]Shijie Zhang, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection. CoRR abs/2005.10150 (2020) - [i22]Ruihong Qiu, Hongzhi Yin, Zi Huang, Tong Chen:
GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation. CoRR abs/2007.02747 (2020) - 2019
- [c75]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CIKM 2019: 579-588 - [c71]Qinyong Wang, Hongzhi Yin, Weiqing Wang, Zi Huang, Guibing Guo, Quoc Viet Hung Nguyen:
Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks. DASFAA (1) 2019: 777-794 - [c65]Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556 - [i10]Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin:
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. CoRR abs/1911.11942 (2019) - 2018
- [j17]Hongzhi Yin, Weiqing Wang, Liang Chen, Xingzhong Du, Quoc Viet Hung Nguyen, Zi Huang:
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowl. Based Syst. 157: 68-80 (2018) - [j14]Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou:
Exploiting detected visual objects for frame-level video filtering. World Wide Web 21(5): 1259-1284 (2018) - [c61]Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang:
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC 2018: 211-223 - [c57]Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung:
Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation. DASFAA (1) 2018: 100-115 - [c53]Hongzhi Yin, Lei Zou, Quoc Viet Hung Nguyen, Zi Huang, Xiaofang Zhou:
Joint Event-Partner Recommendation in Event-Based Social Networks. ICDE 2018: 929-940 - [c46]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c42]Ziwei Wang, Yadan Luo, Yang Li, Zi Huang, Hongzhi Yin:
Look Deeper See Richer: Depth-aware Image Paragraph Captioning. ACM Multimedia 2018: 672-680 - [c40]Weiqing Wang, Hongzhi Yin, Zi Huang, Qinyong Wang, Xingzhong Du, Quoc Viet Hung Nguyen:
Streaming Ranking Based Recommender Systems. SIGIR 2018: 525-534 - [c36]Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian:
Discrete Deep Learning for Fast Content-Aware Recommendation. WSDM 2018: 717-726 - 2017
- [c35]Xiaoshuai Sun, Zi Huang, Hongzhi Yin, Heng Tao Shen:
An Integrated Model for Effective Saliency Prediction. AAAI 2017: 274-281 - 2016
- [j7]Hongzhi Yin, Bin Cui, Xiaofang Zhou, Weiqing Wang, Zi Huang, Shazia W. Sadiq:
Joint Modeling of User Check-in Behaviors for Real-time Point-of-Interest Recommendation. ACM Trans. Inf. Syst. 35(2): 11:1-11:44 (2016) - [c21]Xingzhong Du, Hongzhi Yin, Zi Huang, Yi Yang, Xiaofang Zhou:
Using Detected Visual Objects to Index Video Database. ADC 2016: 333-345 - 2015
- [c7]Hongzhi Yin, Bin Cui, Zi Huang, Weiqing Wang, Xian Wu, Xiaofang Zhou:
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation. ACM Multimedia 2015: 819-822 - 2014
- [c4]Hongzhi Yin, Bin Cui, Ling Chen, Zhiting Hu, Zi Huang:
A temporal context-aware model for user behavior modeling in social media systems. SIGMOD Conference 2014: 1543-1554
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