高性能系统，操作系统，分布式中间件，异构计算和边缘智能

   

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

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
2008-09--2012-07   东北大学   工学学士

2021.01-2022.01 澳大利亚悉尼大学FSA Lab，访问学者

2021-09~现在, 中国科学院软件研究所, 副研究员
2018-05~2021-08,中国科学院软件研究所, 助理研究员

2019-05-29-今,JPDC、JSC、TPDS、NeurIPS、ICLR、ICML、HPDC、ICDCS, 会议期刊审稿人

（1）一种多机器人编队路径规划方法, 发明专利, 2022, 第 1 作者, 专利号: 202211448122

（2）一种高性能单机多核并行模型检测方法, 发明专利, 2016, 第 3 作者, 专利号: CN105955883A

（3）StarFish Table低显存高性能GPU动态哈希表软件，计算机软件著作权，2021SR1535134

（4）混合处理器架构的云计算任务调度系统，计算机软件著作权，2022SR0454643

（5）机器人指挥控制终端系统软件，计算机软件著作权，2023SR1178365

（6）多机器人编组及调度系统，计算机软件著作权，2023SR0991495

（1） 中国科学院青年创新促进会会员, , 院级, 2023
（2） 中科院软件所优秀青年科技人才, , 研究所（学校）, 2022

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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. 

[6] 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.

[7]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.

[8] 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.

[9] 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).

[10] 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.

[11] 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.

[12] 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.

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

[14] 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.

[15] 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).

[16] 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.

[17] 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).

[18] 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.

[19] 郝春亮，沈捷，张珩, 等. 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.

[20] 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.

[21] 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.

[22] Heng Zhang, et al. 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.

[23] Heng Zhang, et al. 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.

[24] Chunliang Hao, Jie Shen, Celia Chen, Heng Zhang, et al. 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.

[25] Chunliang Hao, Jie Shen, Heng Zhang, , et al. Tiresias: low-overhead sample based scheduling with task hopping[C]. IEEE International Conference on Cluster Computing. IEEE, 2016: 251-254. IEEE Cluster 2016. 

[26] 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.

[27] 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.

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

[29] 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.

[30] 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.

   

（ 1 ） 智能机器人仿真开发, 负责人, 国家任务, 2024-11--2027-11
（ 2 ） 人形机器人端到端仿真开发平台, 参与, 国家任务, 2024-01--2025-12
（ 3 ） 量子线路可视化系统优化与扩展算法库研发, 负责人, 境内委托项目, 2023-05--2024-12
（ 4 ） 中国科学院青年促进会, 负责人, 中国科学院计划, 2022-12--2025-12
（ 5 ） RISC-V基础软件, 参与, 中国科学院计划, 2022-05--2025-12
（ 6 ） AI计算框架加速和K8S多集群调度优化技术, 负责人, 境内委托项目, 2021-11--2022-11
（ 7 ） XXX指控平台, 负责人, 国家任务, 2021-11--2024-11
（ 8 ） 大规模非确定图数据分析及其Multi-Accelerator并行系统架构研究, 负责人, 国家任务, 2021-01--2023-12
（ 9 ） 地球大数据-CASEarth DataBank系统计算及可视化引擎开发, 参与, 中国科学院计划, 2019-01--2020-12
（ 10 ） 图像可编辑性研究, 参与, 国家任务, 2018-01--2020-12

（1）Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems   Heng Zhang   2022-06-29
（2）An efficient uncertain graph processing framework for heterogeneous architectures   Heng Zhang   2021-02-21
（3）Frog: A Distributed Graph Processing Engine from Sequential Subgraph Blocks   2013-11-05

现指导学生

代培元  硕士研究生  085405-软件工程  

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