| 2026 | Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. | Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen |
| 2026 | MolEdit: Knowledge Editing for Multimodal Molecule Language Models. | Zhenyu Lei, Patrick Soga, Yaochen Zhu, Yinhan He, Yushun Dong, Jundong Li |
| 2026 | Mitigating the Threshold Priming Effect in Large Language Model-Based Relevance Judgments via Personality Simulation. | Nuo Chen, Hanpei Fang, Jiqun Liu, Wilson Wei, Tetsuya Sakai, Xiao-Ming Wu |
| 2026 | TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. | Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen |
| 2026 | Leveraging Retrieval-Augmented Language Models for Accurate Item/Feature Selection in Conversational Recommender Systems. | Taeho Kim, Junpyo Kim, Won-Yong Shin, Sang-Wook Kim |
| 2026 | RPE4Rec: Enhancing Dynamic Node Retrieval with Efficient Relative Position Encoding for Recommendation Systems. | Ke Cheng, Heng Chang, Pengyang Wang, Liang Gu, Jiandong Ding, Yi Cao, Junchen Ye, Bowen Du |
| 2026 | Constructing Commonsense Knowledge Graph for Persona Consistency. | Lei Xia, Yuyan Chen, Xiangqin Chen, Jixiang Fan, Weinan Dai, Xiaomei Li, Zhixu Li |
| 2026 | LookAhead Tuning: Safer Language Models via Partial Answer Previews. | Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng |
| 2026 | SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection. | Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min |
| 2026 | STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading. | Yilei Zhao, Wentao Zhang, Tingran Yang, Yong Jiang, Fei Huang, Wei Yang Bryan Lim |
| 2026 | Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders. | Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu |
| 2026 | Have We Really Understood Collaborative Information? An Empirical Investigation. | Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma |
| 2026 | Combining Structural and Textual Knowledge for Knowledge Graph Link Prediction via Large Language Models. | Shijie Luo, Xinyuan Lu, Qinpei Zhao, Weixiong Rao |
| 2026 | GNN Explainers 2.0: User-centric and Data-driven Insights. | Arijit Khan, Xiangyu Ke, Yinghui Wu, Francesco Bonchi |
| 2026 | Scholar API: Search and Recommendations for Academic Search. | Kenneth Church, Omar Alonso |
| 2026 | Continuous-time Discrete-space Diffusion Model for Recommendation. | Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan, Qing Li |
| 2025 | HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning. | Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Kaijun Liu, Cheng Long, Xiaoyang Wang |
| 2025 | Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. | Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng |
| 2025 | FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang |
| 2025 | HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection. | Anran Zhang, Xingfen Wang, Yuhan Zhao |
| 2025 | Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation. | Siqing Zhang, Yuchen Ding, Wei Tang, Wei Sun, Yong Liao, Peng Yuan Zhou |
| 2025 | DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation. | Shuai Zhang, Hua Chu, Jianan Li, Yangtao Zhou, Shirong Wang, Qiaofei Sun |
| 2025 | Robustness Verification of Deep Graph Neural Networks Tightened by Linear Approximation. | Xingyu Zeng, Han Li, Qi Qi, Jingyu Wang, Haodong Deng, Haifeng Sun, Zirui Zhuang, Jianxin Liao |
| 2025 | Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs. | Janice Anta Zebaze, Azanzi Jiomekong, Innocent Souopgui, Germaine Djuidje Kenmoe |
| 2025 | Explainable CTR Prediction via LLM Reasoning. | Xiaohan Yu, Li Zhang, Chong Chen |