Zheng Long Associate professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates   Phone: Email: longzh@hust.edu.cn Academic Areas: Big data system structure, Parallel computing system and tool environment, Integration of storage and computing, and near data processing

Personal Profile

Zheng Long, is an associate professor of School of Computer Science and Technology, Huazhong University of Science and Technology, supervisor of doctorate candidates, and distinguished expert of Zhijiang Laboratory. In 2014, he made an exchange visit at Nanyang University of Technology in Singapore, and obtained a doctorate degree in computer system architecture from Huazhong University of Science and Technology in September 2016. At present, he is mainly engaged in the research of big data system architecture, graph computing, integration of storage and computing, etc., and has been engaged in top international computer academic conferences such as MICRO, HPCA, SC, DAC, USENIX ATC, FPGA, PACT, CGO, HiPEAC, IPDPS, IEEE TCAD, IEEE TPDS More than 50 papers have been published in important international journals of CCF such as ACM TACO, 11 national invention patents have been approved, 4 U.S. patents have been approved, and more than 10 national key R&D programs/topics, NSFC key funds/general programs/youth programs, The National High Technology Research and Development Program of China(863 Program) topics, and postdoctoral science funds have been undertaken. He was awarded the Best Paper of the International Conference on Advanced Parallel Processing Technology APPT'21, and the Best Academic Paper of the Seventh CCF Big Data Academic Conference Nomination for the Best Paper of PACT 2018, CGO 2015 Best Report Award of the International Conference on Computer Parallel Architecture and Compiling Technology, etc. The results of the graph computing accelerator were selected were selected into Science and Technology Innovation Achievement Exhibition in the National "13th Five-Year Plan Period of China", and the key technologies of graph computing were awarded the IEEE/MIT/Amazon GraphChallenge, the most influential event in the field of graph computing (the first in China in 2021 and the second in 2022), innovation awards, honorary awards, etc. He and his works have been reported by more than 30 mainstream media, including the People's Daily WeChat official account, South China Morning Post, Reference News WeChat official account, Global Times official account, New Zhiyuan, DeepTech Shenzhen Technology, etc. Member of CCF Architecture Special Committee, member of CCF Parallel Distributed Computing Special Committee, member of CCF System Software Special Committee, member of the Artificial Intelligence Foundation Special Committee of the Chinese Association of Artificial Intelligence, member of the Power Sensing and Intelligent Analysis Special Committee of the Chinese Energy Research Association, intelligent young scientist of Zhiyuan, winner of the Youth May 4th Medal of Huazhong University of Science and Technology, guest editor of CCF Transactions on High Performance Computing, Frontiers of Computer Science (FCS) Preparatory Youth Editorial Board Member, has been a member of the Program Committee of well-known international academic conferences and a judge of international journals for a long time.

He has  been recruiting candidates of doctoral degree, master's degree and bachelor’s degree in graphic computing, big data, artificial intelligence and other fields for a long time. Your letters are warmly welcomed (longzh@hust.edu.cn).

Academic Degrees

2011.9-2016.6

Huazhong University of Science and Technology >  Engineering >  Doctoral Degree >  Postgraduate (Doctoral)

 

2010.9-2011.6

Huazhong University of Science and Technology >  Engineering With Certificate of Graduation for Study as Master's Degree Candidates

 

2006.9-2010.6

 

Huazhong University of Science and Technology >  Engineering >  Bachelor's degree >  Undergraduate

Professional Experience

2019.10-Now

Huazhong University of Science and Technology  > College of Computer Science and Technology  > associate professor

 

2016.10-2019.10

Huazhong University of Science and Technology > College of Computer Science and Technology    > post-doctoral researcher

 

2014.10-2015.4

Nanyang Technological University, Singapore > Parallel and Distributed Computing Center > Research Assistant

Courses Taught

 

Awards and Honors

[1] 2022 IEEE/MIT/Amazon International Graph Challenge 2022 World Champion

[2] 2022 China’s Youth Award of Huazhong University of Science and Technology

[3] 2022 China International Hubei Province "Internet plus" Undergraduate Innovation and Entrepreneurship Competition Industry Track Gold Award (Champion)

[4] 2021 The Best Paper of the International Conference on Parallel Processing Technology APPT'21

[5] 2021 IEEE/MIT/Amazon International Graph Challenge 2021 World Champion

[6] 2021 IEEE/MIT/Amazon International Graph Challenge 2021 Innovation Award

[7] 2019 IEEE/MIT/Amazon International Graph Challenge 2019 Honorary Award

[8] 2019 The 7th Chinese Computer Federation Big Data Academic Conference CCF BigData 2019 Best Academic Paper Award

[9] 2018 Nomination for the Best Paper of PACT 2018 at the 27th International Conference on Computer Parallel Architecture and Compilation Technology

[10] 2015 CGO 2015 Best Report Award of the 13th International Conference on Code Generation and Optimization

Selected Projects Funded

 

Selected Publications

[1] Qinggang Wang, Long Zheng*, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, and Jingling Xue, A data-centric accelerator for high- performance hypergraph processing.in Proceedings of the 55th ACM/IEEE Interna- tional Symposium on Microarchitecture (MICRO'22), accepted,

[2] Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, and Jingling Xue, A flexible yet efficient dnn pruning approach for crossbar-based processing-in-memory architectures.IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems, 2022, accepted,

[3] Yu Huang, Long Zheng*, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, and Jingling Xue, Ready: A reram-based processing-in-memory accelerator for dynamic graph convolutional networ.s, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022, accepted,

[4] Qinggang Wang, Long Zheng*, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, and Hai Jin, Hardware-accelerated hypergraph processing with chain-driven scheduling.in Proceedings of IEEE International Symposium on High- Performance Computer Architecture (HPCA'22), 184-198,

[5] Yu Huang, Long Zheng*, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, and Jingling Xue, Accelerating graph convolutional networks using crossbar-based processing-in-memory architectures.in Proceedings of IEEE International Symposium on High-Performance Computer Architecture (HPCA'22), 1029-1042,

[6] Pengcheng Yao, Long Zheng*, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, and Jingling Xue, Scalagraph: A scalable accelerator for massively parallel graph processing.in Proceedings of IEEE International Symposium on High-Performance Computer Architecture (HPCA'22), 199-212,

[7] Huize Li, Hai Jin, Long Zheng*, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, and Chuangyi Gui, Resma: Accelerating approximate string matching using reram- based content addressable memory.in Proceedings of the Design Automation Confer- ence (DAC'22), 991-996,

[8] Dan Chen, Chuangyi Gui, Yi Zhang, Hai Jin, Long Zheng*, Yu Huang, and Xiaofei Liao, Graphfly: Efficient asynchronous streaming graph processing via dependency-flow.in Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'22) accepted,

[9] Yufei Sun, Long Zheng*, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, and Hai Jin, Accelerating sparse deep neural network inference using gpu tensor cores.in Proceedings of IEEE High Performance Extreme Computing Conference (GraphChallenge'22 Champion),

[10] Shaoxian Xu, Minkang Wu, Long Zheng, Zhiyuan Shao, Xiangyu Ye, Xiaofei Liao, and Hai Jin, Towards fast gpu-based sparse DNN inference: A hybrid compute mode.in Proceedings of IEEE High Performance Extreme Computing Conference (GraphChallenge'22 Champion),

[11] Dan Chen, Hai Jin, Long Zheng*, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, and Ran Zheng. A general offload- ing approach for near-dram processing-in-memory architectures.in Proceedings of the IEEE International Symposium on Parallel and Distributed Processing (IPDPS'22), 246-257,

[12] Yuwei Wu,Qinggang Wang,Long Zheng*,Xiaofei Liao,Hai Jin,Wenbin Jiang,Ran Zheng,Kan Hu.FDGLib: A Communication Library for Efficient Large-Scale GraphProcessing in FPGA-Accelerated Data Centers.Journal of Computer Science and Technology, 2021, 36(5): 1051-1070 (APPT'21 Best Paper Award),

[13] Jie Xin, Xianqi Ye, Long Zheng*, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin. Fast Sparse Deep Neural Network Inference withFlexible SpMM Optimization Space Exploration. In Proceedings of IEEE High Performance Extreme Computing Conference, HPEC 2021, 1-7 (GraphChallenge 2021 Champion).

[14] Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng*. Productive High-Performancek-TrussDecomposition on GPU Using Linear Algebra. In Proceedings of IEEE High Performance Extreme Computing Conference, HPEC 2021, 1-7 (GraphChallenge 2021 Innovation Award).

[15] Chuangyi Gui, Xiaofei Liao, Long Zheng*, Pengcheng Yao, Qinggang Wang, Hai Jin. SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction. In Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021), 318-330..

[16] Qinggang Wang, Long Zheng(*), Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubin Mao. GraSU: A Fast Graph Update Library for FPGA-Based Dynamic Graph Processing. In Processing of the 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA 2021: 149-159.

[17] Long Zheng(#), Xianliang Li, Xi Ge, Xiaofei Liao(*), Hai Jin, Zhiyuan Shao, Qiang-Sheng Hua. Efficient Graph Processing with Invalid Update Fiteration. IEEE Transactions on Big Data (TBD 2021), 7(3): 590-602.

[18] Minyi Guo, Guihai Chen, Xiaofei Liao, Long Zheng: Editorial for the special issue on high performance distributed computing. CCF Transactions on High Performance Computing, 2021, 3(2): 127-128.

[19] Fan Zhang, Long Zheng(*), Xiaofei Liao, Hai Jin, Xinqiao Lv, Jiang Xiao. An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs. IEEE Transactions on Big Data (TBD) (accepted).

[20] Pengcheng Yao, Long Zheng(*), Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue. A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. In Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2020: 895-907.

[21] Long Zheng, Xianliang Li, Yaohui Zheng, Yu Huang, Xiaofei Liao, Hai Jin, Jingling Xue, Zhiyuan Shao, Qiang-Sheng Hua: Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling. USENIX Annual Technical Conference, USENIX ATC 2020: 573-588.

[22] Huize Li, Hai Jin, Long Zheng(*), Xiaofei Liao, ReSQM: Accelerating Database Operations Using ReRAM-Based Content Addressable Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD 2020), 39(11): 4030-4041.

[23] Qinggang Wang(#), Long Zheng(*), Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue. A Conflict-Free Scheduler for High Performance Graph Processing on Multi-Pipeline FPGAs. ACM Transactions on Architecture and Code Optimization (TACO 2020),17(2), 14:1-14:26 .

[24] Long Zheng(#), Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao(*) and Hai Jin. Spara: An Energy-Efficient ReRAM-based Accelerator for Sparse Graph Analytics Applications. In Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), 696-707.

[25] Yu Huang(#), Long Zheng(*), Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin and Jingling Xue. A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. In Proceedings of the 34th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2020), 684-695.

[26] Qingxiang Chen, Long Zheng, Xiaofei Liao, Hai Jin, Qinggang Wang: Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture. CCF Transactions on High Performance Computing, 2020, 2(4): 362-375.

[27] Chengbo Yang, Long Zheng*, Chuangyi Gui, Hai Jin: Efficient FPGA-based graph processing with hybrid pull-push computational model. Frontiers of Computer Science, 14(4): 144102 (2020).

[28] Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng: ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost. IEEE Access 8: 116605-116616 (2020).

[29] Xiaofei Liao, Long Zheng*, Binsheng Zhang, Yu Zhang, Hai Jin, Xuanhua Shi, Yi Lin: Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications. Concurrency and Computation: Practice and Experience, 2020, 32(3).

[30] Yu Huang(#), Long Zheng(*), Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui. RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. In Proccedings of Design, Automation and Test in Europe (DATE 2019), 1273-1276.

[31] Xiaofei Liao(#), Yu Huang, Long Zheng(*), Hai Jin. Efficient Time-Evolving StreamProcessing at Scale. IEEE Transactions on Parallel and Distributed Systems (TPDS 2019), 30(10): 2165-2178.

[32] Chuangyi Gui(#), Long Zheng(*), Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin. A Survey on Graph Processing Accelerators: Challenges and Opportunities. Journal of Computer Science and Technology (JCST 2019), 34(2): 339-371.

[33] Chuangyi Gui(#), Long Zheng(*), Pengcheng Yao, Xiaofei Liao, Hai Jin. Fast Triangle Counting on GPU. In Proceedings of IEEE High Performance Extreme Computing Conference (HPEC 2019), 1-7 (GraphChallenge 2019 Honorable Mention).

[34] Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, Song Jiang: Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems. ACM Transactions on Architecture and Code Optimization, 2019, 16(2): 11:1-11:26.

[35] Long Zheng(#), Xiaofei Liao(*), Hai Jin. Efficient and Scalable Graph Parallel Processing with Symbolic Execution. ACM Transactions on Architecture and Code Optimization (ACM TACO). 2018, 15(1): 3:1-3:25.

[36] Long Zheng(#), Xiaofei Liao(*), Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu. Towards Concurrency Race Debugging: An Integrated Approach for Constraint Solving and Dynamic Slicing. In Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT 2018), 26:1-26:13 (Best Paper Candidate).

[37] Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang. Scalable Concurrency Debugging with Distributed Graph Processing. In Proceedings of the 16th International Symposium on Code Generation and Optimization (CGO 2018), 188-199.

[38] Pengcheng Yao, Long Zheng*, Xiaofei Liao, Hai Jin, Bingsheng He. An Efficient Graph Accelerator with Parallel Data Conflict Management. In Proceedings of 27th International Conference on Parallel Architectures and Compilation Techniques (PACT 2018), 8:1-8:12.

[39] Xiaofei Liao, Minhao Lin, Long Zheng(*), Hai Jin, Zhiyuan Shao. Scalable Data Race Detection for Lock-Intensive Programs with Pending Period Representation. IEEE Transactions on Parallel and Distributed Systems (TPDS 2018), 29(11): 2599-2612.

[40] Peng Luo, Deqing Zou, Hai Jin, Yajuan Du, Long Zheng, Jinan Shen: DigHR: precise dynamic detection of hidden races with weak causal relation analysis. The Journal of Supercomputing, 2018, 74(6): 2684-2704.

[41] Long Zheng(#), Xiaofei Liao(*), Hai Jin, Haikun Liu. Exploiting the Parallelism Between Conflicting Critical Sections with Partial Reversion. IEEE Transactions on Parallel and Distributed Systems (TPDS 2017), 28(12): 3443-3457.

[42] Hai Jin, Pengcheng Yao, Xiaofei Liao, Long Zheng, Xianliang Li. Towards Dataflow Based Graph Accelerator. In Proceedings of the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), 1981-1992.

[43] Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo: Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures. In Proceedings of Proceedings of the International Conference on Supercomputing, ICS 2017, 26:1-26:10.

[44] Xiaofei Liao(#), Long Zheng(*), Bingsheng He, Song Wu, Hai Jin. A Performance Debugging Framework for Unnecessary Lock Contentions with Record/Replay Techniques. IEEE Transactions on Parallel and Distributed Systems (TPDS 2016), 27(7): 1889-901.

[45] Tie Du, Long Zheng*, Shaopeng Chen, Hai Jin: Automatic Security Bug Classification: A Compile-Time Approach. In Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016: 398-405.

[46] Long Zheng(#), Xiaofei Liao(*), Bingsheng He, Song Wu, Hai Jin. On Performance Debugging of Unnecessary Lock Contentions On Multicore Processors: A Replay-Based Approach. In Proceedings of the 13th International Symposium on Code Generation and Optimization (CGO 2015), 56-67 (Best Presentation Award).

[47] Long Zheng, Xiaofei Liao, Song Wu, Xuepeng Fan, Hai Jin: Understanding and identifying latent data races cross-thread interleaving. Frontiers of Computer Science, 2015, 9(4): 524-539.

[48] Jie Sun, Xiaofei Liao, Long Zheng, Hai Jin, Yu Zhang: esDMT: Efficient and scalable deterministic multithreading through memory isolation. In Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2014: 79-86.

[49] Jiawu Tang  ( # ), Long Zheng ( * ),Xiaofei Liao ,  Hai Jin.A high-level synthesis method for graph computing.Journal of computer research and development, 2020 ( Best academic paper of the seventh CCF big data academic conference ).

[50] Long Zheng  (#), Pengcheng Yao ,  Chuangyi Gui, Hai Jin . Accelerators for Graph Computing, Communications of the CCF, 7 (2018), 1-9.

[51] Long Zheng, Xiaofei Liao, Song Wu , Hai Jin . A replay system for performance analysis of multithreaded programs. Journal of Computer Research and Development, 2015,25 (1):45-55.

Professional Affiliations

 

Research Group

 

Enrollment Information

We have been recruiting candidates of doctoral degree, master's degree and bachelor’s degree in graphic computing, big data, artificial intelligence and other fields for a long time. We warmly welcome your letters (longzh@hust.edu.cn).

Personal Homepage

Web: http://faculty.hust.edu.cn/ZhengLong/en/more/2289197/jsjjgd/index.htm