MPICH-G-DM: An Enhanced MPICH-G with Supporting Dynamic Job Migration. - Xiaohui Wei 002; Hongliang Li 003; Dexiong Li (ChinaGrid, 2009)

MapReduce delay scheduling with deadline constraint. - Hongliang Li 003; Xiaohui Wei 002; Qingwu Fu; Yuan Luo (Concurr. Comput. Pract. Exp., 2014)

Topology-Aware Partial Virtual Cluster Mapping Algorithm on Shared Distributed Infrastructures. - Xiaohui Wei 002; Hongliang Li 003; Kun Yang 001; Lei Zou 001 (IEEE Trans. Parallel Distributed Syst., 2014)

THC-MP: High performance numerical simulation of reactive transport and multiphase flow in porous media. - Xiaohui Wei 002; Weishan Li; Hailong Tian; Hongliang Li 003; Haixiao Xu; Tianfu Xu (Comput. Geosci., 2015)

Task Allocation for Stream Processing with Recovery Latency Guarantee. - Hongliang Li 003; Jie Wu 001; Zhen Jiang; Xiang Li; Xiaohui Wei 002 (CLUSTER, 2017)

Integrated recovery and task allocation for stream processing. - Hongliang Li 003; Jie Wu 001; Zhen Jiang; Xiang Li; Xiaohui Wei 002; Yuan Zhuang 003 (IPCCC, 2017)

Minimum Backups for Stream Processing With Recovery Latency Guarantees. - Hongliang Li 003; Jie Wu 001; Zhen Jiang; Xiang Li; Xiaohui Wei 002 (IEEE Trans. Reliab., 2017)

Topology-Aware Task Allocation for Distributed Stream Processing with Latency Guarantee. - Xiaohui Wei 002; Xun Wei; Hongliang Li 003; Yuan Zhuang 003; Hengshan Yue (ICAIP, 2018)

A Task Allocation Method for Stream Processing with Recovery Latency Constraint. - Hongliang Li 003; Jie Wu 001; Zhen Jiang; Xiang Li; Xiaohui Wei 002 (J. Comput. Sci. Technol., 2018)

An optimal checkpointing model with online OCI adjustment for stream processing applications. - Yuan Zhuang 003; Xiaohui Wei 002; Hongliang Li 003; Yongfang Wang; Xubin He (Concurr. Comput. Pract. Exp., 2019)

Reducing the synchronizing communication overhead for distributed graph-parallel computing. - Yue Zhao 014; Kenji Yoshigoe; Hongliang Li 003; Ke Xiong 001 (Intell. Data Anal., 2019)

Pec: Proactive Elastic Collaborative Resource Scheduling in Data Stream Processing. - Xiaohui Wei 002; Lina Li; Xiang Li; Xingwang Wang; Shang Gao 005; Hongliang Li 003 (IEEE Trans. Parallel Distributed Syst., 2019)

Job Placement Strategy with Opportunistic Resource Sharing for Distributed Deep Learning Clusters. - Hongliang Li 003; Ting Sun; Xiang Li; Haixiao Xu (HPCC/DSS/SmartCity, 2020)

CPSA: A Coordinated Process Scheduling Algorithm for Coupled Earth System Model. - Hongliang Li 003; Zhewen Xu; Fangyu Tang; Xiaohui Wei 002; Zhaohui Ding (ICCCN, 2020)

Reducing Fault-tolerant Overhead for Distributed Stream Processing with Approximate Backup. - Yuan Zhuang 003; Xiaohui Wei 002; Hongliang Li 003; Mingkai Hou; Yundi Wang (ICCCN, 2020)

Reliable stream data processing for elastic distributed stream processing systems. - Xiaohui Wei 002; Yuan Zhuang 003; Hongliang Li 003; Zhiliang Liu (Clust. Comput., 2020)

Coordinated process scheduling algorithms for coupled earth system models. - Xiaohui Wei 002; Zhewen Xu; Hongliang Li 003; Zhaohui Ding (Concurr. Comput. Pract. Exp., 2021)

Hybrid Parameter Update: Alleviating Imbalance Impacts for Distributed Deep Learning. - Hongliang Li 003; Dong Xu; Zhewen Xu; Xiang Li (HPCC/DSS/SmartCity/DependSys, 2022)

ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs. - Hongliang Li 003; Hairui Zhao; Zhewen Xu; Xiang Li; Haixiao Xu (CLUSTER, 2023)

Visage: Visual-Aware Generation of Adversarial Examples in Black-Box for Text Classification. - Hairui Zhao; Xinyu Li; Hongliang Li 003 (NLPCC (4), 2024)

Interference-aware opportunistic job placement for shared distributed deep learning clusters. - Hongliang Li 003; Hairui Zhao; Ting Sun; Xiang Li; Haixiao Xu; Keqin Li (J. Parallel Distributed Comput., 2024)

DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network. - Zhewen Xu; Xiaohui Wei 002; Jieyun Hao; Junze Han; Hongliang Li 003; Changzheng Liu; Zijian Li 007; Dongyuan Tian; Nong Zhang (GeoInformatica, 2024)

HiRM: Hierarchical resource management for earth system models on many-core clusters. - Zhewen Xu; Xiaohui Wei 002; Jieyun Hao; Jiale Li; Hongliang Li 003; Zhaohui Ding; Sicong Li (CCF Trans. High Perform. Comput., 2024)

ArrayPipe: Introducing Job-Array Pipeline Parallelism for High Throughput Model Exploration. - Hairui Zhao; Hongliang Li 003; Qi Tian; Jie Wu 001; Meng Zhang; Zhewen Xu; Xiang Li; Haixiao Xu (INFOCOM, 2025)

FlexPipe: Maximizing Training Efficiency for Transformer-based Models with Variable-Length Inputs. - Hairui Zhao; Qi Tian; Hongliang Li 003; Zizhong Chen (USENIX ATC, 2025)

Alleviating straggler impacts for data parallel deep learning with hybrid parameter update. - Hongliang Li 003; Qi Tian; Dong Xu; Hairui Zhao; Zhewen Xu (Future Gener. Comput. Syst., 2025)

Convergence-aware optimal checkpointing for exploratory deep learning training jobs. - Hongliang Li 003; Zichen Wang; Hairui Zhao; Meng Zhang; Xiang Li; Haixiao Xu (Future Gener. Comput. Syst., 2025)

Harnessing dynamic graph differential operators for efficient data-driven wind prediction. - Xiaohui Wei 002; Zhewen Xu; Hongliang Li 003; Jieyun Hao; Hengshan Yue; Changzheng Liu (GeoInformatica, 2025)