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2022

Journal Article

Long short-term enhanced memory for sequential recommendation

Duan, Jiasheng, Zhang, Peng-Fei, Qiu, Ruihong and Huang, Zi (2022). Long short-term enhanced memory for sequential recommendation. World Wide Web, 26 (2), 1-23. doi: 10.1007/s11280-022-01056-9

Long short-term enhanced memory for sequential recommendation

2022

Conference Publication

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2022). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icde53745.2022.00143

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)

2022

Journal Article

Exploiting positional information for session-based recommendation

Qiu, Ruihong, Huang, Zi, Chen, Tong and Yin, Hongzhi (2022). Exploiting positional information for session-based recommendation. ACM Transactions on Information Systems, 40 (2) 3473339, 1-24. doi: 10.1145/3473339

Exploiting positional information for session-based recommendation

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

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

Edited Outputs

Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun eds. (2022). Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings. WISE 2022 : 23rd International Conference, Biarritz, France, 1–3 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20891-1

Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings

2022

Journal Article

Preface

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13724 LNCS, v-vi.

Preface

2022

Journal Article

MRA-Net: improving VQA via multi-modal relation attention network

Peng, Liang, Yang, Yang, Wang, Zheng, Huang, Zi and Shen, Heng Tao (2022). MRA-Net: improving VQA via multi-modal relation attention network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (1), 318-329. doi: 10.1109/tpami.2020.3004830

MRA-Net: improving VQA via multi-modal relation attention network

2022

Conference Publication

Improved feature distillation via projector ensemble

Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation.

Improved feature distillation via projector ensemble

2021

Journal Article

Preface

Chen, Chang-Wen, Huang, Helen, Zhou, Jun, Harada, Tatsuya, Cai, Jianfei, Liu, Wu and Xu, Dong (2021). Preface. ACM International Conference Proceeding Series.

Preface

2021

Journal Article

Collaborative learning for extremely low bit asymmetric hashing

Luo, Yadan, Huang, Zi, Li, Yang, Shen, Fumin, Yang, Yang and Cui, Peng (2021). Collaborative learning for extremely low bit asymmetric hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3675-3685. doi: 10.1109/tkde.2020.2977633

Collaborative learning for extremely low bit asymmetric hashing

2021

Journal Article

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

Chen, Tong, Yin, Hongzhi, Zhang, Xiangliang, Huang, Zi, Wang, Yang and Wang, Meng (2021). Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling. IEEE Transactions on Neural Networks and Learning Systems, PP (99), 1-14. doi: 10.1109/TNNLS.2021.3118706

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

2021

Conference Publication

Semantics disentangling for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859

Semantics disentangling for generalized zero-shot learning

2021

Conference Publication

Learning Transferrable and Interpretable Representations for Domain Generalization

Du, Zhekai, Li, Jingjing, Lu, Ke, Zhu, Lei and Huang, Zi (2021). Learning Transferrable and Interpretable Representations for Domain Generalization. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475488

Learning Transferrable and Interpretable Representations for Domain Generalization

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

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258

Mitigating Generation Shifts for Generalized Zero-Shot Learning

2021

Conference Publication

Local graph convolutional networks for cross-modal hashing

Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346

Local graph convolutional networks for cross-modal hashing

2021

Conference Publication

Imbalanced Source-free Domain Adaptation

Li, Xinhao, Li, Jingjing, Zhu, Lei, Wang, Guoqing and Huang, Zi (2021). Imbalanced Source-free Domain Adaptation. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475487

Imbalanced Source-free Domain Adaptation

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

Domain adaptive semantic segmentation without source data

You, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482

Domain adaptive semantic segmentation without source data