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2025

Conference Publication

Recent advances on multi-modal dialogue systems: a survey

Cheng, Fenghua, Li, Xue, Wu, Haoyang, Sang, Jiangcheng and Zhao, Wenqi (2025). Recent advances on multi-modal dialogue systems: a survey. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-0847-8_3

Recent advances on multi-modal dialogue systems: a survey

2025

Conference Publication

Automatic summarization of life-critical situations by generative AI

Sun, Yuxuan and Li, Xue (2025). Automatic summarization of life-critical situations by generative AI. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-96-0840-9_5

Automatic summarization of life-critical situations by generative AI

2025

Conference Publication

TinyMetaFed: efficient federated meta-learning for TinyML

Ren, Haoyu, Li, Xue, Anicic, Darko and Runkler, Thomas A. (2025). TinyMetaFed: efficient federated meta-learning for TinyML. International Workshops of ECML PKDD 2023, Turin, Italy, 18 - 22 September 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-74640-6_10

TinyMetaFed: efficient federated meta-learning for TinyML

2024

Conference Publication

Evidence sentence augmented sequence-to-sequence method for document-level relation extraction

Dai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Yang, Xuejiao, Yang, Sen and Li, Xue (2024). Evidence sentence augmented sequence-to-sequence method for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822111

Evidence sentence augmented sequence-to-sequence method for document-level relation extraction

2024

Conference Publication

Contrastive learning enhanced graph relation representation for document-level relation extraction

Dai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Lv, Lebin, Chen, Wenjun and Li, Xue (2024). Contrastive learning enhanced graph relation representation for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822629

Contrastive learning enhanced graph relation representation for document-level relation extraction

2024

Conference Publication

Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task

Wang, Chen, Hu, Cong, Zhong, Jiang, Liu, Huawen, Li, Qi, Yu, Donghua and Li, Xue (2024). Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, 30 August-1September 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-7232-2_2

Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task

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

Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience

Zhang, Yanjun, Sun, Ruoxi, Shen, Liyue, Bai, Guangdong, Xue, Minhui, Meng, Mark Huasong, Li, Xue, Ko, Ryan and Nepal, Surya (2024). Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience. WWW '24: ACM Web Conference 2024, Singapore, Singapore, 13-17 May 2024. New York, NY, United States: ACM. doi: 10.1145/3589334.3645545

Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience

2024

Conference Publication

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

Jain, Khushi, Singh, Priyanka and Li, Xue (2024). Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7 - 9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MIPR62202.2024.00114

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

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). doi: 10.18653/v1/2024.naacl-long.229

Event-content-oriented dialogue generation in short video

2024

Conference Publication

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. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: 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

Conference Publication

Facilitating message passing with potential links for knowledge graph completion

Yin, Hong, Zhong, Jiang, Li, Rongzhen, Wang, Jiaqi, Wang, Chen, Qizhu, Dai and Li, Xue (2024). Facilitating message passing with potential links for knowledge graph completion. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 14-19 April 2024. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICASSP48485.2024.10446669

Facilitating message passing with potential links for knowledge graph completion

2024

Conference Publication

CDER: Collaborative evidence retrieval for document-level relation extraction

Tran, Khai Phan and Li, Xue (2024). CDER: Collaborative evidence retrieval for document-level relation extraction. 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, 15-18 April 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-4982-9_3

CDER: Collaborative evidence retrieval for document-level relation extraction

2024

Conference Publication

Enhancing continual relation extraction with concept aware dynamic memory optimization

Zhou, Tianyu, Li, Rongzhen, Zhong, Jiang, Dai, Qizhu, Liu, Yuxuan and Li, Xue (2024). Enhancing continual relation extraction with concept aware dynamic memory optimization. 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, 30 August - 1 September 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-7232-2_16

Enhancing continual relation extraction with concept aware dynamic memory optimization

2023

Conference Publication

Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking

Dai, Qizhu, Lei, Qin, Zhong, Jiang, Li, Xue, Wang, Chen, Yin, Hong and Li, Rongzhen (2023). Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 5-8 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/bibm58861.2023.10385533

Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking

2023

Conference Publication

Context-based masking for spontaneous venous pulsations detection

Sheng, Hongwei, Yu, Xin, Li, Xue and Golzan, Mojtaba (2023). Context-based masking for spontaneous venous pulsations detection. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8388-9_42

Context-based masking for spontaneous venous pulsations detection

2023

Conference Publication

Prompt-based effective input reformulation for legal case retrieval

Tang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7

Prompt-based effective input reformulation for legal case retrieval

2023

Conference Publication

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

Zhang, Bingqing, Wang, Sen, Liu, Yifan, Kusy, Brano, Li, Xue and Liu, Jiajun (2023). Object detection difficulty: suppressing over-aggregation for faster and better video object detection. 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612090

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

2023

Conference Publication

Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation

Dai, Qizhu, Zhong, Jiang, Zhu, Wei, Wang, Chen, Yin, Hong, Lei, Qin, Li, Xue and Li, Rongzhen (2023). Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation. 26th European Conference on Artificial Intelligence, Kraków, Poland, 30 September-4 October 2023. Bristol, United Kingdom: IOS Press. doi: 10.3233/FAIA230312

Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation

2023

Conference Publication

PRRD: pixel-region relation distillation for efficient semantic segmentation

Wang, Chen, Zhong, Jiang, Dai, Qizhu, Qi, Yafei, Li, Rongzhen, Lei, Qin, Fang, Bin and Li, Xue (2023). PRRD: pixel-region relation distillation for efficient semantic segmentation. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 June 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP49357.2023.10094967

PRRD: pixel-region relation distillation for efficient semantic segmentation