高性能计算，操作系统，智能系统

083500-软件工程
081202-计算机软件与理论

操作系统，高性能系统
分布式与并行计算

2021-09--中国科学院软件研究所   副研究员
2021-01--2022-01   澳大利亚悉尼大学FSA Lab   访问学者
2018-05--2021-08   中国科学院软件研究所   助理研究员
2012-09--2018-01   中国科学院软件研究所   计算机软件与理论，工学博士

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2021-09~现在, 中国科学院软件研究所, 副研究员
2021-01~2022-01,澳大利亚悉尼大学FSA Lab, 访问学者
2018-05~2021-08,中国科学院软件研究所, 助理研究员

2019-05-26-今,TKDE、TPDS、TACO、JPDC、NeurIPS、ICLR、ICML、HPDC、ICDCS, 程序委员会委员和审稿人

[1] Peiyuan Dai, Rui Liu, Heng Zhang. NanoCSV: Enabling Efficient Parallel CSV Extraction with Hierarchical Finite-State Transducer[C]//International Conference on Database Systems for Advanced Applications (DASFAA). Singapore: Springer Nature Singapore, 2025.

[2] Xiangfei Fang, Chengying Huan, Heng Zhang, Yongchao Liu, Shaonan Ma, Yanjun Wu, Chen Zhao. OTM: Efficient K-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs[J]. IEEE Transactions on Knowledge Discovery from Data (TKDD), 2025.

[3] Xiangfei Fang, Chengying Huan, Boying Wang, Shaonan Ma, Heng Zhang, Chen Zhao. HyperSF: A Hypergraph Representation Learning Method Based on Structural Fusion. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025.

[4] Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao. HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025.

[5] Chengying Huan, Likang Chen, Yongchao Liu, Xuran Wang, Heng Zhang*, Yongchun Jiang, Shaonan Ma, Yanjun Wu. TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms. IEEE International Conference on Data Engineering (ICDE). 2025.

[6] Qinglin Pan, Ji Qi, Jiatai He, Heng Zhang, Jiageng Yu, Yanjun Wu, Beaver: A High-Performance and Crash-Consistent File System Cache via PM-DRAM Collaborative Memory Tiering. International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2025.

[7] Huan, Chengying and Liu, Yongchao and Zhang, Heng and Liu, Hang and Chen, Shiyang and Song, Shuaiwen Leon and Wu, Yanjun. TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications [J]. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2024. doi: 10.1109/TPDS.2024.3393914. 

[8] Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Leon Song, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu. TEA+: A Novel Temporal Graph Random Walk Engine With Hybrid Storage Architecture [J]. ACM Transactions on Architecture and Code Optimization (TACO), 2024.

[9] Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen. G-Sparse: compiler-driven acceleration for generalized sparse computation for graph neural networks on modern GPUs. 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2023), 2023.

[10] Heng Zhang, Lingda Li, Hang Liu, Dongling Zhuang, Rui Liu, Chengyin Huan, Charles He, Yongchao Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Song. Bring Orders into Uncertainty: Enabling Efficient Uncertain  Graph Processing via Novel Path Sampling on Multi-Accelerator System [C]. ACM International Conference on Supercomputing (ICS), 2022. ICS’22.

[11] Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu. T-GCN: A Sampling Based Streaming Graph Neural Network System With Hybrid Architecture [C]. 31st International Conference on Parallel Architectures and Compilation Techniques (PACT 2022).

[12] Heng Zhang, Lingda Li, Dongling Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Song. An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures[C]. ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 2021. PPoPP’21.

[13] 蒋筱斌, 熊轶翔, 张珩 ,武延军. ChattyGraph: 面向异构多协处理器环境的高可扩展图计算系统. 软件学报,2023, :10.13328/j.cnki.jos.006732.

[14] 侯朋朋, 张珩, 武延军, 于佳耕, 邰阳, 苗玉霞. 基于多标签的内核配置图及其应用[J]. 计算机研究与发展, 2021, 58(3): 651-667.

[15] Pengpeng Hou, Heng Zhang, Yanjun Wu, Jiageng You, Yang He, Yuxia Miao. FindCmd: A Personalized Command Retrieval Tool[J]. IET Software, 2021.

[16] 张珩, 崔强, 侯朋朋,等. 面向GPU平台的复杂网络core分解方法研究[J]. 软件学报, 2020, v.31(04):321-335.

[17] Hongjun Zhang, Heng Zhang, Libo Zhang, Yanjun Wu. FastUDP: A highly scalable user-level UDP framework in multi-core systems for fast packet I/O[J]. The Journal of Supercomputing, 2020, 11(3).

[18] 张鸿骏, 武延军, 张珩, 张立波.一种适应GPU的混合访问缓存索引框架[J].软件学报,2020,31(10):3038-3055.

[19] Hongjun Zhang, Yanjun Wu, Heng Zhang, Libo Zhang. Hybrid access cache indexing framework adapted to GPU. International Journal of Software and Informatics, 2021, 11(2).

[20] 张珩, 张立波, 武延军. 基于Multi-GPU平台的大规模图数据处理[J]. 计算机研究与发展, 2018, 55(2): 273-288.

[21] 郝春亮，沈捷，张珩，武延军，王青，李明树. 大数据背景下集群调度结构与研究进展[J]. 计算机研究与发展, 2018, 55(1): 53-70.

[22] Heng Zhang, Libo Zhang, Da Cheng, Yanjun Wu, Chen Zhao. EpCom: A parallel community detection approach for epidemic diffusion over social networks[C]. 2017 IEEE International Conference on Bioinformatics and Biomedicine. IEEE, 2017: 1607-1614. BIBM 2017.

[23] Heng Zhang, Haibo Hou, Libo Zhang, Hongjun Zhang, Yanjun Wu. Accelerating Core Decomposition in Large Temporal Networks Using GPUs[C]. International Conference on Neural Information Processing. Springer, Cham, 2017: 893-903. ICONIP’17.

[24] Heng Zhang, Chunliang Hao, Yanjun Wu, Mingshu Li. Towards a scalable and energy-efficient resource manager for coupling cluster computing with distributed embedded computing[J]. Cluster Computing, 2017, 20(4): 3707-3720. Cluster Computing, 2017.

[25] Heng Zhang, Chunliang Hao, Yanjun Wu, Mingshu Li. Macaca: a scalable and energy-efficient platform for coupling cloud computing with distributed embedded computing[C]. IEEE Parallel and Distributed Processing Symposium Workshops. IEEE, 2016: 1785-1788. IPDRM’16, IPDPS 2016 Workshop.

[26] Chunliang Hao, Jie Shen, Celia Chen, Heng Zhang, Yanjun Wu, Mingshu Li. PCSsampler: Sample-based, Private-state Cluster Scheduling[C]. Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. IEEE Press, 2017: 599-608. CCGrid 2017.

[27] Chunliang Hao, Jie Shen, Heng Zhang, Xiao Zhang, Yanjun Wu and Mingshu Li. Tiresias: low-overhead sample based scheduling with task hopping[C]. IEEE International Conference on Cluster Computing. IEEE, 2016: 251-254. IEEE Cluster 2016. 

[28] Chunliang Hao, Jie Shen, Heng Zhang, Xiao Zhang, Yanjun Wu and Mingshu Li. Sparkle: adaptive sample based scheduling for cluster computing[C]. Proceedings of the 5th International Workshop on Cloud Data and Platforms. ACM, 2015: 5. CloudDP 2015, Eurosys 2015.

[29] Kai Wang, Heng Zhang, Yanjun Wu, Chen Zhao, Mingshu Li. Frog: A Distributed Graph Processing Engine from Sequential Subgraph Blocks. Work-in-Progress, ACM SOSP 2013.

[30] Yanjun Wu, Mingshu Li, Heng Zhang, Chunliang Hao. DataOS: A Data-centric Operating System for Future Data Center. Poster in EuroSys 2016.

[31] 蒋筱斌,熊轶翔, 张珩 ,侯朋朋,武延军,赵琛.基于 Kubernetes 的 RISC-V 异构集群云任务调度系统. 计算机系统应用,2022,31(9):3-14.

[32] 熊轶翔,蒋筱斌,张珩,武延军. Starfish：一种支持分页显存的高性能哈希表索引系统. 计算机系统应用,2022.

已指导学生

代培元  硕士研究生  085405-软件工程  

现指导学生

董岩松  硕士研究生  085405-软件工程  

王上  硕士研究生  085405-软件工程  

姜永春  硕士研究生  085405-软件工程  

包冉  硕士研究生  083500-软件工程  

凌志豪  硕士研究生  083500-软件工程  

邹浩南  硕士研究生  085410-人工智能  

朱小懋  硕士研究生  083500-软件工程  

王旭然  硕士研究生  083500-软件工程  

夏宇航  硕士研究生  085405-软件工程  

张明辉  硕士研究生  085410-人工智能