| 2026 | EuroPar | DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning. | Chenke Yi, Zhiquan Lai, Shengwei Li, Wei Wang, Yu Tang, Weijie Liu, Dongsheng Li |
| 2026 | FAST | AdaCheck: An Adaptive Checkpointing System for Efficient LLM Training with Redundancy Utilization. | Weijie Liu, Shengwei Li, Zhiquan Lai, Keshi Ge, Qiaoling Chen, Peng Sun, Dongsheng Li, Kai Lu |
| 2026 | NSDI | Di-PS: System-Algorithm Co-Design for Asynchronous and Heterogeneous Cross-cluster LLM Training at Scale. | Shengwei Li, Qiaoling Chen, Zhiquan Lai, Penglong Jiao, Wenwen Qu, Kun Cai, Jiaxing Li, Peng Sun, Xingcheng Zhang, Xiaoge Deng, Dongsheng Li, Kai Lu, Tianwei Zhang |
| 2025 | CLUSTER | Capricorn: Efficient In-Memory Checkpointing for MoE Model Training with Dynamicity Awareness. | Wenqian Xie, Zhiquan Lai, Shengwei Li, Weijie Liu, Wei Wang, Yanqi Hao, Dongsheng Li |
| 2025 | IECON | Acoustic Feature-Driven Cross-Domain Fault Diagnosis of Industrial Equipment: An Adaptive Feature Fusion Approach. | Shengwei Li, Zhaoquan Ye, Lin Zhang, Hao Yang, Xiang Wu, Fanghong Guo |
| 2024 | ICA3PP | Coordinated Multi-regional Logistics Path Planning: A Broad Reinforcement Learning Framework. | Shengwei Li, Congcong Zhu, Zeping Tong |
| 2024 | ISPA | HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism. | Yanqi Hao, Zhiquan Lai, Wei Wang, Shengwei Li, Weijie Liu, Keshi Ge, Dongsheng Li |
| 2023 | AAAI | Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. | Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li |
| 2023 | CLUSTER | Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. | Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li |
| 2023 | HPCC | Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models. | Zhiquan Lai, Yanqi Hao, Shengwei Li, Dongsheng Li |
| 2023 | IGARSS | Improved Accuracy of XCO2 Retrieval Based on OCO-2 Rtretrieval Framework Model. | Tao Yuan, Yong Xue, Liang Zhao, Chunlin Jin, Shengwei Li, Pei Li |
| 2023 | IGARSS | Monitoring of Xch4 Changes and Anomaly in Hebei Province, China Based on Tropomi. | Botao He, Yong Xue, Xi Lu, Chunlin Jin, Shengwei Li, Wenhao Liu, Peng Wang, Xiangkai Wang, Pei Li |
| 2023 | IGARSS | Observing Anthropogenic CO2 Emissions with TanSat in Northeast China. | Chunlin Jin, Yong Xue, Tao Yuan, Shengwei Li, Botao He, Liang Zhao |
| 2022 | CLUSTER | HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. | Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li |
| 2022 | CLUSTER | AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. | Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li |
| 2022 | ICPP | EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. | Shengwei Li, Zhiquan Lai, Dongsheng Li, Yiming Zhang, Xiangyu Ye, Yabo Duan |
| 2021 | CLUSTER | 2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters. | Lizhi Zhang, Zhiquan Lai, Shengwei Li, Yu Tang, Feng Liu, Dongsheng Li |
| 2021 | ICPP | Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. | Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li |
| 2009 | GRC | Mining closed frequent itemset based on FP-Tree. | Shengwei Li, Lingsheng Li, Chong Han |