Sparkle: adaptive sample based scheduling for cluster computing. - Chunliang Hao; Jie Shen 008; Heng Zhang 005; Xiao Zhang; Yanjun Wu; Mingshu Li 001 (CloudDP@EuroSys, 2015)

Tiresias: Low-Overhead Sample Based Scheduling with Task Hopping. - Chunliang Hao; Jie Shen 008; Heng Zhang 005; Yanjun Wu; Mingshu Li 001 (CLUSTER, 2016)

Macaca: A Scalable and Energy-Efficient Platform for Coupling Cloud Computing with Distributed Embedded Computing. - Heng Zhang 005; Chunliang Hao; Yanjun Wu; Mingshu Li 001 (IPDPS Workshops, 2016)

EpCom: A parallel community detection approach for epidemic diffusion over social networks. - Heng Zhang 005; Libo Zhang 001; Da Cheng; Yanjun Wu; Chen Zhao (BIBM, 2017)

PCSsampler: Sample-based, Private-state Cluster Scheduling. - Chunliang Hao; Jie Shen 008; Celia Chen; Heng Zhang 005; Yanjun Wu; Mingshu Li 001 (CCGrid, 2017)

Accelerating Core Decomposition in Large Temporal Networks Using GPUs. - Heng Zhang 005; Haibo Hou; Libo Zhang 001; Hongjun Zhang; Yanjun Wu (ICONIP (1), 2017)

Towards a scalable and energy-efficient resource manager for coupling cluster computing with distributed embedded computing. - Heng Zhang 005; Chunliang Hao; Yanjun Wu; Mingshu Li 001 (Clust. Comput., 2017)

An efficient uncertain graph processing framework for heterogeneous architectures. - Heng Zhang 005; Lingda Li; Donglin Zhuang; Rui Liu 002; Shuang Song; Dingwen Tao; Yanjun Wu; Shuaiwen Leon Song (PPoPP, 2021)

FindCmd: A personalised command retrieval tool. - Pengpeng Hou; Heng Zhang 005; Yanjun Wu; Jiageng Yu; Yuxia Miao; Yang Tai (IET Softw., 2021)

Hybrid Access Cache Indexing Framework Adapted to GPU. - Hongjun Zhang; Yanjun Wu; Heng Zhang 005; Libo Zhang 001 (Int. J. Softw. Informatics, 2021)

FastUDP: a highly scalable user-level UDP framework in multi-core systems for fast packet I/O. - Hongjun Zhang; Heng Zhang 005; Libo Zhang 001; Yanjun Wu (J. Supercomput., 2021)

T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. - Chengying Huan; Shuaiwen Leon Song; Yongchao Liu; Heng Zhang 005; Hang Liu 001; Charles He; Kang Chen; Jinlei Jiang; Yongwei Wu 001 (PACT, 2022)

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. - Heng Zhang 005; Lingda Li; Hang Liu 001; Donglin Zhuang; Rui Liu 002; Chengying Huan; Shuang Song; Dingwen Tao; Yongchao Liu; Charles He; Yanjun Wu; Shuaiwen Leon Song (ICS, 2022)

G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. - Yue Jin; Chengying Huan; Heng Zhang 005; Yongchao Liu; Shuaiwen Leon Song; Rui Zhao; Yao Zhang; Changhua He; Wenguang Chen (PACT, 2023)

TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. - Chengying Huan; Yongchao Liu; Heng Zhang 005; Shuaiwen Song; Santosh Pandey; Shiyang Chen 004; Xiangfei Fang; Yue Jin; Baptiste Lepers; Yanjun Wu; Hang Liu 001 (ACM Trans. Archit. Code Optim., 2024)

TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. - Chengying Huan; Yongchao Liu; Heng Zhang 005; Hang Liu 001; Shiyang Chen 004; Shuaiwen Leon Song; Yanjun Wu (IEEE Trans. Parallel Distributed Syst., 2024)

Beaver: A High-Performance and Crash-Consistent File System Cache via PM-DRAM Collaborative Memory Tiering. - Qinglin Pan; Ji Qi 002; Jiatai He; Heng Zhang 005; Jiageng Yu; Yanjun Wu (Proc. ACM Meas. Anal. Comput. Syst., 2024)

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. - Xiangfei Fang; Boying Wang; Chengying Huan; Shaonan Ma; Heng Zhang 005; Chen Zhao (CoRR, 2025)

OTM: Efficient k-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs. - Xiangfei Fang; Chengying Huan; Heng Zhang 005; Yongchao Liu; Shaonan Ma; Yanjun Wu; Chen Zhao (ACM Trans. Knowl. Discov. Data, 2025)