| 2026 | AAAI | LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit. | Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang |
| 2026 | AAAI | Causality Matters: How Temporal Information Emerges in Video Language Models. | Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang |
| 2026 | ASPDAC | REDM: Regression-Guided Diffusion Modeling for Universal Soft Sensor Enhancement in Semiconductor Process Control. | Weiping Xie, Yumeng Shi, Pang Guo, Yining Chen |
| 2025 | EMNLP | Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering. | Yumeng Shi, Quanyu Long, Wenya Wang |
| 2025 | IJCNN | CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration. | Yumeng Shi, Zhongliang Yang, DiYang Lu, Yisi Wang, Yiting Zhou, Linna Zhou |
| 2024 | PPoPP | POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters. | Shunde Li, Junyu Gu, Jue Wang, Tiechui Yao, Zhiqiang Liang, Yumeng Shi, Shigang Li, Weiting Xi, Shushen Li, Chunbao Zhou, Yangang Wang, Xuebin Chi |
| 2023 | DAC | Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms. | Ao Zhou, Jianlei Yang, Yingjie Qi, Yumeng Shi, Tong Qiao, Weisheng Zhao, Chunming Hu |
| 2023 | ICCV | Lossy and Lossless (L | Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang |
| 2023 | KSEM | A Sparse Matrix Optimization Method for Graph Neural Networks Training. | Tiechui Yao, Jue Wang, Junyu Gu, Yumeng Shi, Fang Liu, Xiaoguang Wang, Yangang Wang, Xuebin Chi |
| 2023 | SC | Large-Scale Simulation of Structural Dynamics Computing on GPU Clusters. | Yumeng Shi, Ningming Nie, Jue Wang, Kehao Lin, Chunbao Zhou, Shigang Li, Kehan Yao, Shunde Li, Yangde Feng, Yan Zeng, Fang Liu, Yangang Wang, Yue Gao |
| 2020 | SMC | The Evaluation Model of Traditional Media Transformation Competency Based on the Grey System Theory. | Yumeng Shi, Yuming Zhu |