Skip to menu Skip to content Skip to footer

2022

Conference Publication

Accepted Tutorials at The Web Conference 2022

Tommasini, Riccardo, Roy, Senjuti Basu, Wang, Xuan, Wang, Hongwei, Ji, Heng, Han, Jiawei, Nakov, Preslav, Da San Martino, Giovanni, Alam, Firoj, Schedl, Markus, Lex, Elisabeth, Bharadwaj, Akash, Cormode, Graham, Dojchinovski, Milan, Forberg, Jan, Frey, Johannes, Bonte, Pieter, Balduini, Marco, Belcao, Matteo, Della Valle, Emanuele, Yu, Junliang, Yin, Hongzhi, Chen, Tong, Liu, Haochen, Wang, Yiqi, Fan, Wenqi, Liu, Xiaorui, Dacon, Jamell, Lye, Lingjuan ... He, Xiangnan (2022). Accepted Tutorials at The Web Conference 2022. The Web Conference 2022, Lyon, France, 25 – 29 April 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3487553.3547182

Accepted Tutorials at The Web Conference 2022

2022

Conference Publication

PipA!ack: poisoning federated recommender systems for manipulating item promotion

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Nguyen, Quoc Viet Hung and Cui, Lizhen (2022). PipA!ack: poisoning federated recommender systems for manipulating item promotion. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498386

PipA!ack: poisoning federated recommender systems for manipulating item promotion

2022

Conference Publication

Contrastive learning for representation degeneration problem in sequential recommendation

Qiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433

Contrastive learning for representation degeneration problem in sequential recommendation

2022

Conference Publication

Hyperbolic personalized tag recommendation

Zhao, Weibin, Zhang, Aoran, Shang, Lin, Yu, Yonghong, Zhang, Li, Wang, Can, Chen, Jiajun and Yin, Hongzhi (2022). Hyperbolic personalized tag recommendation. 27th International Conference on Database Systems for Advanced Applications (DASFAA-2022), Virtual , 11-14 April 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-00126-0_14

Hyperbolic personalized tag recommendation

2022

Conference Publication

Switchable online knowledge distillation

Qian, Biao, Wang, Yang, Yin, Hongzhi, Hong, Richang and Wang, Meng (2022). Switchable online knowledge distillation. 17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, Israel, October 23-27, 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-20083-0_27

Switchable online knowledge distillation

2021

Conference Publication

A knowledge-aware recommender with attention-enhanced dynamic convolutional network

Liu, Yi, Li, Bohan, Zang, Yalei, Li, Aoran and Yin, Hongzhi (2021). A knowledge-aware recommender with attention-enhanced dynamic convolutional network. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482406

A knowledge-aware recommender with attention-enhanced dynamic convolutional network

2021

Conference Publication

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

Zhang, Xuyun, Puthal, Deepak Kumar, Yang, Chi, Choo, Kim-Kwang Raymond, Yin, Hongzhi and Liu, Guanfeng (2021). International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482043

International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021)

2021

Conference Publication

Double-scale self-supervised hypergraph learning for group recommendation

Zhang, Junwei, Gao, Min, Yu, Junliang, Guo, Lei, Li, Jundong and Yin, Hongzhi (2021). Double-scale self-supervised hypergraph learning for group recommendation. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482426

Double-scale self-supervised hypergraph learning for group recommendation

2021

Conference Publication

Self-supervised graph co-training for session-based recommendation

Cui, Lizhen, Shao, Yingxia, Yu, Junliang, Yin, Hongzhi and Xia, Xin (2021). Self-supervised graph co-training for session-based recommendation. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482388

Self-supervised graph co-training for session-based recommendation

2021

Conference Publication

GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction

Mansha, Sameen, Khalid, Tayyab, Kamiran, Faisal, Hussain, Masroor, Hussain, Syed Fawad and Yin, Hongzhi (2021). GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482110

GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction

2021

Conference Publication

Lightweight self-attentive sequential recommendation

Li, Yang, Chen, Tong, Zhang, Peng-Fei and Yin, Hongzhi (2021). Lightweight self-attentive sequential recommendation. CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual, 1-5 November 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3459637.3482448

Lightweight self-attentive sequential recommendation

2021

Conference Publication

CausalRec: causal inference for visual debiasing in visually-aware recommendation

Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266

CausalRec: causal inference for visual debiasing in visually-aware recommendation

2021

Conference Publication

Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval

Zhang, Peng-Fei, Duan, Jiasheng, Huang, Zi and Yin, Hongzhi (2021). Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475286

Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval

2021

Conference Publication

ImGAGN: imbalanced network embedding via generative adversarial graph networks

Qu, Liang, Zhu, Huaisheng, Zheng, Ruiqi, Shi, Yuhui and Yin, Hongzhi (2021). ImGAGN: imbalanced network embedding via generative adversarial graph networks. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467334

ImGAGN: imbalanced network embedding via generative adversarial graph networks

2021

Conference Publication

Learning elastic embeddings for customizing on-device recommenders

Chen, Tong, Yin, Hongzhi, Zheng, Yujia, Huang, Zi, Wang, Yang and Wang, Meng (2021). Learning elastic embeddings for customizing on-device recommenders. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467220

Learning elastic embeddings for customizing on-device recommenders

2021

Conference Publication

Socially-aware self-supervised tri-training for recommendation

Yu, Junliang, Yin, Hongzhi, Gao, Min, Xia, Xin, Zhang, Xiangliang and Viet Hung, Nguyen Quoc (2021). Socially-aware self-supervised tri-training for recommendation. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467340

Socially-aware self-supervised tri-training for recommendation

2021

Conference Publication

Heterogeneous hypergraph embedding for graph classification

Sun, Xiangguo, Yin, Hongzhi, Liu, Bo, Chen, Hongxu, Cao, Jiuxin, Shao, Yingxia and Viet Hung, Nguyen Quoc (2021). Heterogeneous hypergraph embedding for graph classification. WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Virtual Event, 8-12 March 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3437963.3441835

Heterogeneous hypergraph embedding for graph classification

2021

Conference Publication

Temporal meta-path guided explainable recommendation

Chen, Hongxu, Li, Yicong, Sun, Xiangguo, Xu, Guandong and Yin, Hongzhi (2021). Temporal meta-path guided explainable recommendation. WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Virtual Event Israel, 8 - 12 March 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3437963.3441762

Temporal meta-path guided explainable recommendation

2021

Conference Publication

Pre-training graph neural networks for cold-start users and items representation

Hao, Bowen, Zhang, Jing, Yin, Hongzhi, Li, Cuiping and Chen, Hong (2021). Pre-training graph neural networks for cold-start users and items representation. WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Virtual Event, 8-12 March 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3437963.3441738

Pre-training graph neural networks for cold-start users and items representation

2021

Conference Publication

DA-GCN: a domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation

Guo, Lei, Tang, Li, Chen, Tong, Zhu, Lei, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2021). DA-GCN: a domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation. International Joint Conference on Artificial Intelligence, Montreal, Canada, 19-27 August 2021. San Francisco, CA, United States: International Joint Conferences on Artificial Intelligence Organization. doi: 10.24963/ijcai.2021/342

DA-GCN: a domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation