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2026 Conference Publication Towards Cost-Effective Model Update in Online Feature-Incremental LearningTan, Zirui, Wen, Hechuan, Sadiq, Shazia and Chen, Tong (2026). Towards Cost-Effective Model Update in Online Feature-Incremental Learning. Singapore: Springer Nature Singapore. doi: 10.1007/978-981-95-7394-3_1 |
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2026 Journal Article ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge GraphsZheng, Shangfei, Gao, Yunjun, Liu, An, Li, Wenhao, Chen, Tong and Yin, Hongzhi (2026). ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge Graphs. IEEE Transactions on Knowledge and Data Engineering, 38 (5), 1-14. doi: 10.1109/tkde.2026.3666242 |
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2026 Journal Article Self-Gating Attention for Efficient Time Series ForecastingWang, Dezheng, Chen, Tong, Yuan, Wei, Chen, Congyan, Li, Shihua and Yin, Hongzhi (2026). Self-Gating Attention for Efficient Time Series Forecasting. IEEE Transactions on Industrial Informatics, PP (99), 1-12. doi: 10.1109/tii.2026.3710167 |
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2025 Journal Article Neural compression system for point cloud video streamingZhang, Junteng, Chen, Tong, Ding, Dandan and Ma, Zhan (2025). Neural compression system for point cloud video streaming. IEEE Transactions on Image Processing, 34, 8032-8045. doi: 10.1109/tip.2025.3638126 |
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2025 Journal Article DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendationZheng, Ruiqi, Qu, Liang, Ye, Guanhua, Chen, Tong, Shi, Yuhui and Yin, Hongzhi (2025). DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation. Information Sciences, 721 122570, 122570-721. doi: 10.1016/j.ins.2025.122570 |
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2025 Journal Article GISDD: A comprehensive global integrated sequence and genotyping database platform for dengue virus, facilitating a stratified coordinated surveillance strategyGuo, Xiang, Teng, Pingying, Li, Ziyao, Li, Liqiang, Liu, Xiaohua, Zhang, Xiaoqing, Wang, Yuji, Hu, Minling, Ren, Wenwen, Zeng, Shu, Chen, Haiyang, Ge, Liu, Liu, Shihan, Peng, Zhiqiang, Sun, Jiufeng, Zhang, Xin, Luo, Lei, Peng, Jie, Shi, Benyun, Wu, Rangke, Liu, Jiming, Zhang, Fuchun, Chen, Xiao-Guang, Chen, Tong and Zhou, Xiaohong (2025). GISDD: A comprehensive global integrated sequence and genotyping database platform for dengue virus, facilitating a stratified coordinated surveillance strategy. iMetaOmics, 2 (4) e70048. doi: 10.1002/imo2.70048 |
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2025 Journal Article iMeta Conference 2025: creating high‐impact international journalsZhu, Zhihao, Zhang, Lin, Yao, Xiaofang, Zeng, Meiyin, Wang, Yao, Luo, Hao, Zhou, Yuanping, Zhang, Tianyuan, Xun, Jiani, Bai, Defeng, Yang, Haifei, Xu, Shanshan, Zhou, Yang, Gao, Yunyun, Xu, Jinbo, Han, Wei, Shen, ZiAng, Zhang, Bangzhou, Ma, Tengfei, Wan, Xiu‐Lin, Ma, Chuang, Hui, Fengjiao, Bai, Hao, Bai, Lijing, Bai, Qing, Bao, Qiangguo, Cao, Guodong, Cao, Peng, Cao, Qiqi ... Liu, Yong‐Xin (2025). iMeta Conference 2025: creating high‐impact international journals. iMeta, 4 (6) e70086, 1-14. doi: 10.1002/imt2.70086 |
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2025 Journal Article Denoising pretrained black-box models via amplitude-guided phase realignmentNi, Hongliang, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2025). Denoising pretrained black-box models via amplitude-guided phase realignment. Transactions on Machine Learning Research, December-2025, 1-16. |
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2025 Journal Article On-device recommender systems: a comprehensive surveyYin, Hongzhi, Qu, Liang, Chen, Tong, Yuan, Wei, Zheng, Ruiqi, Long, Jing, Xia, Xin, Shi, Yuhui and Zhang, Chengqi (2025). On-device recommender systems: a comprehensive survey. Data Science and Engineering, 10 (4), 591-620. doi: 10.1007/s41019-025-00308-8 |
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2025 Conference Publication Harnessing large language models for Group POI recommendationsLong, Jing, Qu, Liang, Yu, Junliang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Harnessing large language models for Group POI recommendations. 34th ACM International Conference on Information and Knowledge Management CIKM 2025, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761018 |
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2025 Conference Publication Efficient multimodal streaming recommendation via Expandable Side Mixture-of-ExpertsQu, Yunke, Qu, Liang, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2025). Efficient multimodal streaming recommendation via Expandable Side Mixture-of-Experts. CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul, South Korea, 10-14 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3746252.3761390 |
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2025 Conference Publication Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videosZhao, Zecheng, Song, Selena, Chen, Tong, Chen, Zhi, Sadiq, Shazia and Luo, Yadan (2025). Are synthetic videos useful? A benchmark for retrieval-centric evaluation of synthetic videos. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758257 |
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2025 Conference Publication MAXplain: A multi-agent system for interactive multimodal hate speech detectionRiekers, Nils, Risius, Marten and Chen, Tong (2025). MAXplain: A multi-agent system for interactive multimodal hate speech detection. 2025 Conference on Multimedia-MM, Dublin, Ireland, 27-31 October 2025. New York, NY United States: ACM. doi: 10.1145/3746027.3754474 |
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2025 Conference Publication Learning a universal crime predictor with knowledge-guided hypernetworksKarimova, Fidan, Chen, Tong, Yang, Yu and Sadiq, Shazia (2025). Learning a universal crime predictor with knowledge-guided hypernetworks. 28th European Conference on Artificial Intelligence, Bologna, Italy, 25-30 October 2025. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA251027 |
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2025 Journal Article iMeta: boosting academic sharing and collaboration via social mediaYao, Xiaofang, Wu, Jiqiu, Ma, Tengfei, Shi, Chun‐Lin, Lan, Canhui, Li, Danyi, Fu, Jingyuan, Shen, Ziang, Chen, Tong and Liu, Yong‐Xin (2025). iMeta: boosting academic sharing and collaboration via social media. iMeta, 4 (5) e70085, 1-6. doi: 10.1002/imt2.70085 |
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2025 Journal Article Enhancing language models with commonsense knowledge for multi-turn response selectionWang, Yuandong, Ren, Xuhui, Chen, Tong, Yin, Hongzhi and Hung, Nguyen Quoc Viet (2025). Enhancing language models with commonsense knowledge for multi-turn response selection. International Journal of Machine Learning and Cybernetics, 16 (12), 10421-10441. doi: 10.1007/s13042-025-02804-9 |
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2025 Journal Article FELLAS: enhancing federated sequential recommendation with LLM as external servicesYuan, Wei, Yang, Chaoqun, Ye, Guanhua, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2025). FELLAS: enhancing federated sequential recommendation with LLM as external services. ACM Transactions on Information Systems, 43 (6) 144, 1-24. doi: 10.1145/3709138 |
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2025 Conference Publication Contrastive graph condensation: advancing data versatility through self-supervised learningGao, Xinyi, Li, Yayong, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Yin, Hongzhi (2025). Contrastive graph condensation: advancing data versatility through self-supervised learning. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3-7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3711896.3736892 |
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2025 Journal Article RobGC: towards robust graph condensationGao, Xinyi, Yin, Hongzhi, Chen, Tong, Ye, Guanhua, Zhang, Wentao and Cui, Bin (2025). RobGC: towards robust graph condensation. IEEE Transactions on Knowledge and Data Engineering, 37 (8), 4791-4804. doi: 10.1109/tkde.2025.3569629 |
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2025 Conference Publication Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationWen, Hechuan, Chen, Tong, Ye, Guanhua, Chai, Li Kheng, Sadiq, Shazia and Yin, Hongzhi (2025). Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation. KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Canada, 3 - 7 August 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3690624.3709305 |
