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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 Analysis

Zhong, 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. doi: 10.1016/j.wneu.2026.124865

Prognostic Assessment of Surgical Strategies and Extent of Resection in Methotrexate-Based Treatment for Primary Central Nervous System Lymphoma: A Propensity-Matched Analysis

2026

Journal Article

Sparse gradient training for recommender systems

Qu, Yunke, Qu, Liang, Chen, Tong, Zhao, Xiangyu, Li, Jianxin and Yin, Hongzhi (2026). Sparse gradient training for recommender systems. Data Science and Engineering, 1-18. doi: 10.1007/s41019-025-00327-5

Sparse gradient training for recommender systems

2026

Journal Article

Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language model

Zhong, 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

Towards on-device personalization: cloud-device collaborative data augmentation for efficient on-device language model

2026

Journal Article

Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

Liang, 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

Erratum: Lightweight Embeddings with Graph Rewiring for Collaborative Filtering

2026

Journal Article

EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome

Luo, 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

EasyAmplicon 2: expanding pacbio and nanopore long amplicon sequencing analysis pipeline for microbiome

2026

Journal Article

DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation

Gao, 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

DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation

2026

Journal Article

ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge Graphs

Zheng, 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, 1-14. doi: 10.1109/tkde.2026.3666242

ARLIE: Adaptive Reinforcement Learning with Inductive Embeddings for Fully-inductive Multi-hop Reasoning over Temporal Knowledge Graphs

2026

Conference Publication

Memory-enhanced invariant prompt learning for urban flow prediction under distribution shifts

Jiang, 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

Memory-enhanced invariant prompt learning for urban flow prediction under distribution shifts

2025

Journal Article

DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation

Zheng, 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

DecKG: decentralized collaborative learning with knowledge graph enhancement for POI recommendation

2025

Journal Article

iMeta Conference 2025: creating high‐impact international journals

Zhu, 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

iMeta Conference 2025: creating high‐impact international journals

2025

Journal Article

On-device recommender systems: a comprehensive survey

Yin, 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

On-device recommender systems: a comprehensive survey

2025

Conference Publication

Efficient multimodal streaming recommendation via Expandable Side Mixture-of-Experts

Qu, 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

Efficient multimodal streaming recommendation via Expandable Side Mixture-of-Experts

2025

Conference Publication

Harnessing large language models for Group POI recommendations

Long, 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

Harnessing large language models for Group POI recommendations

2025

Conference Publication

Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos

Zhao, 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, Oct 27-31, 2025. New York, NY, USA: ACM. doi: 10.1145/3746027.3758257

Are Synthetic Videos Useful? A Benchmark for Retrieval-Centric Evaluation of Synthetic Videos

2025

Conference Publication

MAXplain: A multi-agent system for interactive multimodal hate speech detection

Riekers, 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

MAXplain: A multi-agent system for interactive multimodal hate speech detection

2025

Conference Publication

Learning a universal crime predictor with knowledge-guided hypernetworks

Karimova, 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

Learning a universal crime predictor with knowledge-guided hypernetworks

2025

Journal Article

iMeta: boosting academic sharing and collaboration via social media

Yao, 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

iMeta: boosting academic sharing and collaboration via social media

2025

Journal Article

Enhancing language models with commonsense knowledge for multi-turn response selection

Wang, 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

Enhancing language models with commonsense knowledge for multi-turn response selection

2025

Journal Article

FELLAS: enhancing federated sequential recommendation with LLM as external services

Yuan, 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

FELLAS: enhancing federated sequential recommendation with LLM as external services

2025

Conference Publication

Contrastive graph condensation: advancing data versatility through self-supervised learning

Gao, 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 USA: Association for Computing Machinery. doi: 10.1145/3711896.3736892

Contrastive graph condensation: advancing data versatility through self-supervised learning