| 2026 | WWW | DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs. | Mingxuan Song, Yusen Huo, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long, Zhilin Zhang, Chuan Yu |
| 2025 | AAAI | M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking. | Fang Wang, Shenglin Yin, Xiaoying Bai, Minghao Hu, Tianwei Yan, Yi Liang |
| 2025 | AAAI | MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. | Zhifei Yang, Keyang Lu, Chao Zhang, Jiaxing Qi, Hanqi Jiang, Ruifei Ma, Shenglin Yin, Yifan Xu, Mingzhe Xing, Zhen Xiao, Jieyi Long, Xiangde Liu, Guangyao Zhai |
| 2025 | EMNLP | Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization. | Jian Li, Shenglin Yin, Yujia Zhang, Alan Zhao, Xi Chen, Xiaohui Zhou, Pengfei Xu |
| 2025 | WWW | AERO: Enhancing Sharding Blockchain via Deep Reinforcement Learning for Account Migration. | Mingxuan Song, Pengze Li, Bohan Zhou, Shenglin Yin, Zhen Xiao, Jieyi Long |
| 2024 | CVPR | Adversarial Distillation Based on Slack Matching and Attribution Region Alignment. | Shenglin Yin, Zhen Xiao, Mingxuan Song, Jieyi Long |
| 2024 | SRDS | Presto: Optimizing Cross-Shard Transactions in Sharded Blockchain Architecture. | Qiuyu Ding, Rongkai Zhang, Shenglin Yin, Pengze Li, Shengjie Guan, Zhen Xiao, Jieyi Long |
| 2023 | CVPR | AGAIN: Adversarial Training with Attribution Span Enlargement and Hybrid Feature Fusion. | Shenglin Yin, Kelu Yao, Sheng Shi, Yangzhou Du, Zhen Xiao |
| 2023 | KDD | A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning. | Mingzhe Xing, Hangyu Mao, Shenglin Yin, Lichen Pan, Zhengchao Zhang, Zhen Xiao, Jieyi Long |
| 2021 | IROS | Water Surface Stability Prediction of Amphibious Bio-Inspired Undulatory Fin Robot. | Zhenhan Chen, Qiao Hu, Yingliang Chen, Chang Wei, Shenglin Yin |