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2024

Journal Article

In Search of Lost Online Test-Time Adaptation: A Survey

Wang, Zixin, Luo, Yadan, Zheng, Liang, Chen, Zhuoxiao, Wang, Sen and Huang, Zi (2024). In Search of Lost Online Test-Time Adaptation: A Survey. International Journal of Computer Vision, 1-34. doi: 10.1007/s11263-024-02213-5

In Search of Lost Online Test-Time Adaptation: A Survey

2024

Journal Article

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Zhang, Chenming, Huang, Zi and Yuan, Zhiguo (2024). A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring. Water Research, 261 122002, 122002. doi: 10.1016/j.watres.2024.122002

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

2024

Journal Article

Explicit knowledge graph reasoning for conversational recommendation

Ren, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216

Explicit knowledge graph reasoning for conversational recommendation

2024

Conference Publication

CaseLink: inductive graph learning for legal case retrieval

Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693

CaseLink: inductive graph learning for legal case retrieval

2024

Conference Publication

Universal adversarial perturbations for vision-language pre-trained models

Zhang, Peng-Fei, Huang, Zi and Bai, Guangdong (2024). Universal adversarial perturbations for vision-language pre-trained models. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657781

Universal adversarial perturbations for vision-language pre-trained models

2024

Journal Article

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

Chbeir, Richard, Huang, Helen, Manolopoulos, Yannis and Silvestri, Fabrizio (2024). Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE). World Wide Web, 27 (4) 45. doi: 10.1007/s11280-024-01284-1

Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)

2024

Conference Publication

Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning

Zhu, Anjie, Zhang, Peng-Fei, Qiu, Ruihong, Zheng, Zetao, Huang, Zi and Shao, Jie (2024). Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning. 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i15.29660

Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning

2024

Journal Article

Filter-based Stance Network for Rumor Verification

Li, Jun, Bin, Yi, Ma, Yunshan, Yang, Yang, Huang, Zi and Chua, Tat-Seng (2024). Filter-based Stance Network for Rumor Verification. ACM Transactions on Information Systems, 42 (4) ARTN ART108, 1-28. doi: 10.1145/3649462

Filter-based Stance Network for Rumor Verification

2024

Book Chapter

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs

Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs. Lecture Notes in Computer Science. (pp. 80-95) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs

2024

Journal Article

Self-supervised learning for recommender systems: a survey

Yu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907

Self-supervised learning for recommender systems: a survey

2024

Journal Article

Focusing on Relevant Responses for Multi-modal Rumor Detection

Li, Jun, Bin, Yi, Peng, Liang, Yang, Yang, Li, Yangyang, Jin, Hao and Huang, Zi (2024). Focusing on Relevant Responses for Multi-modal Rumor Detection. IEEE Transactions on Knowledge and Data Engineering, 1-12. doi: 10.1109/tkde.2024.3389694

Focusing on Relevant Responses for Multi-modal Rumor Detection

2024

Conference Publication

Event-content-oriented dialogue generation in short video

Cheng, Fenghua, Li, Xue, Huang, Zi, Wang, Jinxiang and Wang, Sen (2024). Event-content-oriented dialogue generation in short video. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, 16-21 June 2024. Kerrville, TX, United States: Association for Computational Linguistics (ACL).

Event-content-oriented dialogue generation in short video

2024

Journal Article

Effective and Robust Adversarial Training Against Data and Label Corruptions

Zhang, Peng-Fei, Huang, Zi, Xu, Xin-Shun and Bai, Guangdong (2024). Effective and Robust Adversarial Training Against Data and Label Corruptions. IEEE Transactions on Multimedia, 26, 1-12. doi: 10.1109/tmm.2024.3394677

Effective and Robust Adversarial Training Against Data and Label Corruptions

2024

Journal Article

TextAdapter: Self-Supervised Domain Adaptation for Cross-Domain Text Recognition

Liu, Xiao-Qian, Zhang, Peng-Fei, Luo, Xin, Huang, Zi and Xu, Xin-Shun (2024). TextAdapter: Self-Supervised Domain Adaptation for Cross-Domain Text Recognition. IEEE Transactions on Multimedia, 26, 9854-9865. doi: 10.1109/tmm.2024.3400669

TextAdapter: Self-Supervised Domain Adaptation for Cross-Domain Text Recognition

2023

Journal Article

Calligraphy Font generation via explicitly modeling location-aware glyph component deformations

Zhao, Minda, Qi, Xingqun, Hu, Zhipeng, Li, Lincheng, Zhang, Yongqiang, Huang, Zi and Yu, Xin (2023). Calligraphy Font generation via explicitly modeling location-aware glyph component deformations. IEEE Transactions on Multimedia, 26, 5939-5950. doi: 10.1109/tmm.2023.3342690

Calligraphy Font generation via explicitly modeling location-aware glyph component deformations

2023

Conference Publication

Multi-head Siamese prototype learning against both data and label corruption

Zhang, Peng-Fei and Huang, Zi Helen (2023). Multi-head Siamese prototype learning against both data and label corruption. MMAsia '23: 5th ACM International Conference on Multimedia in Asia, Tainan, Taiwan, 6-8 December 2023. New York, NY, United States: ACM. doi: 10.1145/3595916.3626435

Multi-head Siamese prototype learning against both data and label corruption

2023

Conference Publication

CaT: balanced continual graph learning with graph condensation

Liu, Yilun, Qiu, Ruihong and Huang, Zi (2023). CaT: balanced continual graph learning with graph condensation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00141

CaT: balanced continual graph learning with graph condensation

2023

Conference Publication

Learning efficient unsupervised satellite image-based building damage detection

Zhang, Yiyun, Wang, Zijian, Luo, Yadan, Yu, Xin and Huang, Zi (2023). Learning efficient unsupervised satellite image-based building damage detection. 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm58522.2023.00206

Learning efficient unsupervised satellite image-based building damage detection

2023

Conference Publication

Toward a unified framework for RGB and RGB-D visual navigation

Du, Heming, Huang, Zi, Chapman, Scott and Yu, Xin (2023). Toward a unified framework for RGB and RGB-D visual navigation. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8391-9_29

Toward a unified framework for RGB and RGB-D visual navigation

2023

Journal Article

Semantic enhanced video captioning with multi-feature fusion

Niu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Guo, Shanqing, Huang, Zi and Xu, Xin-Shun (2023). Semantic enhanced video captioning with multi-feature fusion. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (6) 182, 1-21. doi: 10.1145/3588572

Semantic enhanced video captioning with multi-feature fusion