|
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 |
|
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 |
|
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 |
|
2026 Journal Article Prognostic Assessment of Surgical Strategies and Extent of Resection in Methotrexate-Based Treatment for Primary Central Nervous System Lymphoma: A Propensity-Matched AnalysisZhong, Haoshu, Wu, Hao, Dai, Bo, Yao, Zhenwei, Ren, Yan and Chen, Tong (2026). Prognostic Assessment of Surgical Strategies and Extent of Resection in Methotrexate-Based Treatment for Primary Central Nervous System Lymphoma: A Propensity-Matched Analysis. World Neurosurgery, 208 124865, 124865-208. doi: 10.1016/j.wneu.2026.124865 |
|
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 |
|
2026 Journal Article DeepCGC: unveiling the deep clustering mechanism of fast graph condensationGao, Xinyi, Li, Wenjie, Zhao, Xiangyu, Chen, Tong, 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, 38 (3), 1575-1588. doi: 10.1109/tkde.2026.3655841 |
|
2026 Conference Publication Multi-Scale Geographical Identification of Synchrophasor Sources for Enhancing Cyber-Physical Resilience in Distribution NetworksCui, Yi, Ko, Ryan K L and Chen, Tong (2026). Multi-Scale Geographical Identification of Synchrophasor Sources for Enhancing Cyber-Physical Resilience in Distribution Networks. IEEE. doi: 10.1109/pesim67009.2026.11438932 |
|
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 |
|
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 |
|
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 |
|
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 |
|
2026 Book Chapter LogicGate: Adaptive Rule-Based Modeling of Exogenous Effects for Time Series ForecastingZhong, Jie, Chen, Tong, Yuan, Wei, Cui, Lizhen and Yin, Hongzhi (2026). LogicGate: Adaptive Rule-Based Modeling of Exogenous Effects for Time Series Forecasting. Lecture Notes in Computer Science. (pp. 239-255) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-92-0375-8_15 |
|
2026 Journal Article Overconsumption of fructose aggravates acute GVHD by inducing gut dysbiosis and promoting macrophage-mediated inflammatory responseWu, Kunpeng, Yu, Huihui, Cao, Kankan, Dai, Bo, Yuan, Yan, Qian, Xiaohan, Zhong, Haoshu, Qu, Ying, Jiang, Hua and Chen, Tong (2026). Overconsumption of fructose aggravates acute GVHD by inducing gut dysbiosis and promoting macrophage-mediated inflammatory response. Gut Microbes, 18 (1) 2642459, 1. doi: 10.1080/19490976.2026.2642459 |
|
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 |
|
2026 Book Chapter 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. Lecture Notes in Computer Science. (pp. 3-18) Singapore: Springer Nature Singapore. doi: 10.1007/978-981-95-7394-3_1 |
|
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 |
|
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 |
|
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. |
|
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 |
|
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 |
