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2026 Journal Article Decoding age-stratified mutational landscapes in CNS lymphoma via genomic and survival profiling for precision oncologyChen, Jiawen, Liu, Hongwei, Tang, Qisheng, Chai, Huihui, Wang, Peng, Zhu, Ruize, Chen, Tong, Li, Tianwen and Shi, Zhifeng (2026). Decoding age-stratified mutational landscapes in CNS lymphoma via genomic and survival profiling for precision oncology. Genes and Diseases, 13 (5) 101934, 101934. doi: 10.1016/j.gendis.2025.101934 |
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2026 Conference Publication Relational Database Distillation: From Structured Tables to Condensed Graph DataGao, Xinyi, Zhang, Jingxi, Chen, Lijian, Chen, Tong, Cui, Lizhen and Yin, Hongzhi (2026). Relational Database Distillation: From Structured Tables to Condensed Graph Data. New York, NY, USA: ACM. doi: 10.1145/3774904.3792734 |
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2026 Conference Publication PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation DetectionWang, Zongwei, Gao, Min, Yu, Junliang, Chen, Tong and Lin, Chenghua (2026). PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection. New York, NY, USA: ACM. doi: 10.1145/3774904.3792166 |
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2026 Journal Article Sparse gradient training for recommender systemsQu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Li, Jianxin and Yin, Hongzhi (2026). Sparse gradient training for recommender systems. Data Science and Engineering, 11 (1), 230-247. doi: 10.1007/s41019-025-00327-5 |
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2026 Journal Article Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language modelZhong, Zhaofeng, Yuan, Wei, Qu, Liang, Chen, Tong, Wang, Hao, Zhao, Xiangyu and Yin, Hongzhi (2026). Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language model. ACM Transactions on Intelligent Systems and Technology, 17 (1) 3779452, 1-1. doi: 10.1145/3779452 |
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2026 Journal Article Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative FilteringLiang, Xurong, Chen, Tong, Yuan, Wei and Yin, Hongzhi (2026). Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering. ACM Transactions on Information Systems, 44 (1) C1, 1-1. doi: 10.1145/3785705 |
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2026 Journal Article EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiomeLuo, Hao, Bai, Defeng, Zhu, Zhihao, Yousuf, Salsabeel, Yang, Haifei, Xun, Jiani, Zeng, Meiyin, Wang, Yao, Gao, Yunyun, Peng, Kai, Xu, Shanshan, Zhou, Yuanping, Zhang, Tianyuan, Ma, Chuang, Hou, Huiyu, Wan, Xiulin, Zhou, Yang, Jia, Baolei, Huang, Shi, Gan, Renyou, Wen, Tao, Chen, Tong, Chen, Xia, Li, Xiaofang and Liu, Yong-Xin (2026). EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome. Advanced Science, 13 (1) e12447, 1-13. doi: 10.1002/advs.202512447 |
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2026 Conference Publication Memory-enhanced invariant prompt learning for urban flow prediction under distribution shiftsJiang, Haiyang, Chen, Tong, Zhang, Wentao, Nguyen, Quoc Viet Hung, Yuan, Yuan, Li, Yong and Yin, Hongzhi (2026). Memory-enhanced invariant prompt learning for urban flow prediction under distribution shifts. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2025, Porto, Portugal, 15-19 September 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-032-06066-2_9 |
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2026 Journal Article DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph CondensationGao, Xinyi, Li, Wenjie, Chen, Tong, Zhao, Xiangyu, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2026). DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-14. doi: 10.1109/tkde.2026.3655841 |
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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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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 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, 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 |
