| 2025 | Continuous Data Augmentation via Condition-Tokenized Diffusion Transformer for Sequential Recommendation. | Chenglong Shi, Haosen Wang, Pan Tang |
| 2025 | SimFormer: Multilevel Transformer on Learnable Mesh Graphs for Engineering Simulation. | Jiasheng Shi, Fu Lin, Weixiong Rao, Ze Gao |
| 2025 | Company-Specific Knowledge Matters: Retrieval-Augmented Generation for Earnings Call Answer Rehearsal. | Yung-Yu Shih, Yun-Nung Chen, Chung-Chi Chen |
| 2025 | Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. | Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | Community Partition-based Source Localization with Adaptive Observers Deployment. | Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao |
| 2025 | Incremental Learning for LLM-based Tokenization and Recommendation. | Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng |
| 2025 | LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. | Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko |
| 2025 | Bridging the Gap Between Sparsity and Redundancy: A Dual-Decoding Framework with Global Context for Map Inference. | Yudong Shen, Jiali Mao, Wenyu Wu, Yixiao Tong, Guoping Liu, Chaoya Wang |
| 2025 | ROKAN: Toward Interpretable and Domain-Robust Memory Behavior Modeling. | Xiaoxuan Shen, Zhihai Hu, Di Chen, Jianwen Sun, Shengyingjie Liu |
| 2025 | Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation. | Yijun Sheng, Pui Ieng Lei, Yanyan Liu, Ximing Chen, Zhiguo Gong |
| 2025 | Local Structure-Adaptive Graph Filtering for Collaborative Filtering. | Yijun Sheng, Ximing Chen, Yanyan Liu, Pui Ieng Lei, Zhiguo Gong |
| 2025 | EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. | Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel |
| 2025 | Retrieval-Augmented Image Captioning via Synthesized Entity-Aware Knowledge Representations. | Lin Shen, Chenxu Cui, Jinchao Zhang, Haihui Fan, Haotian Jin, Bo Li |
| 2025 | Towards Few-shot Chemical Reaction Outcome Prediction. | Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang |
| 2025 | FAIR Data Assessment Using LLMs: The Fair-Way. | Anmol Sharma, Sulayman K. Sowe, Soo-Yon Kim, Sayed Hoseini, Fidan Limani, Zeyd Boukhers, Christoph Lange, Stefan Decker |
| 2025 | The Metadata Impedance Mismatch between Databases and Programming Languages. | Vishal Sharma, Curtis E. Dyreson |
| 2025 | Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting. | Chen Shao, Michael Frber, Sebastian Ptz, Benjamin Schfer, Yue Wang, Tobias Kfer, Zhanbo Huang, Zhenyi Zhu |
| 2025 | General Adaptive Memory Allocation for Learned Bloom Filters. | You Shang, Xiang He, Ruiyuan Li, Yingying Sun, Guanyao Li, Guangchao Yang, Junbo Zhang, Yu Zheng |
| 2025 | STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning. | Nasrin Shabani, Amin Beheshti, Yuankai Qi, Venus Haghighi, Jin Foo, Jia Wu |
| 2025 | Do LLMs Dream of Electric Emotions? Towards Quantifying Metacognition and Generalizing the Teacher-Student Model Using Ensembles of LLMs. | Ricky J. Sethi, Hefei Qiu, Charles Courchaine, Joshua Iacoboni |
| 2025 | Membership Inference Attack Vulnerabilities of Record Linkage Models. | Piyumi Seneviratne, Dinusha Vatsalan, Dali Kaafar |
| 2025 | cMALC-D: Contextual Multi-Agent LLM-Guided Curriculum Learning with Diversity-Based Context Blending. | Anirudh Satheesh, Keenan Powell, Hua Wei |
| 2025 | Effect of Model Merging in Domain-Specific Ad-hoc Retrieval. | Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita |
| 2025 | HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. | Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2025 | CondFairGen A Fair Conditional Generator for Tabular Data via Adaptive Sampling. | David Sanchez Jr., Anantaa Kotal |