个人信息
Personal information
教授 博士生导师 硕士生导师
性别：男
在职信息：在职
所在单位：计算机科学与技术学院
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：华中科技大学
学科：计算机系统结构曾获荣誉：
2023 IEEE/MIT/Amazon国际“图挑战”赛GraphChallenge 2023全球冠军
2023 国家优秀青年科学基金获得者
2023 “英特尔中国学术英才计划”荣誉学者
2023 湖北省杰出青年基金获得者
2022 华中科技大学“学术新人奖”
2022 IEEE/MIT/Amazon国际“图挑战”赛GraphChallenge 2022全球冠军
2022 华中科技大学青年五四奖章
2022 中国国际“互联网 +”大学生创新创业大赛产业赛道金奖
2021 先进并行处理技术国际会议APPT'21最佳论文
2021 IEEE/MIT/Amazon国际“图挑战”赛GraphChallenge 2021全球冠军
2021 IEEE/MIT/Amazon国际“图挑战”赛GraphChallenge 2021创新奖
2019 IEEE/MIT/Amazon国际“图挑战”赛GraphChallenge 2019荣誉奖
2019 第七届中国计算机学会大数据学术会议CCF BigData 2019最佳学术论文奖
2018 第27届计算机并行体系结构和编译技术国际学术会议PACT 2018最佳论文提名
2015 第13届代码生成与优化国际学术会议CGO 2015最佳报告奖
- [1] Chuangyi Gui, Xiaofei Liao, Long Zheng*, Hai Jin. Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow. In Proceedings of the 2023 USENIX Annual Technical Conference (USENIX ATC '23), Accepted.
- [2] Haifeng Liu, Long Zheng*, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, and Jingling Xue, Accelerating personalized recommendation with cross-level near-memory processing, in Proceedings of the 50th International Symposium on Computer Architecture (ISCA'23), accepted..
- [3] Dan Chen, Haiheng He, Hai Jin, Long Zheng*, Yu Huang, Xinyang Shen, and Xiaofei Liao, Metanmp: Leveraging cartesian-like products to accelerate HGNNs with near-memory processing, in Proceedings of the 50th International Symposium on Computer Architecture (ISCA'23) (2023), accepted..
- [4] Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, and Jingling Xue, Afavs: Accurate yet fast version switching for graph processing systems, in Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE'23), accepted..
- [5] Yu Huang, Long Zheng*, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, and Hai Jin, Meg2: In-memory acceleration for genome graphs analysis, in Proceedings of the Design Automation Conference (DAC'23), accepted..
- [6] Chaoqiang Liu, Haifeng Liu, Long Zheng*, Yu Huang, Xiaofei Liao, and Hai Jin, FNNG: A high-performance FPGA-based accelerator for k-nearest neighbor graph construction, in Proceedings of the 31st ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA,23), pp. 67–77.
- [7] Haiheng He, Dan Chen, Long Zheng*, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, and Hai Jin, Efficient metapath generation for dynamic heterogeneous graph models, in Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS'23), accepted..
- [8] Huize Li, Hai Jin, Long Zheng, Xiaofei Liao, Yu Huang, Cong Liu, Zhuohui Duan. CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, Accepted..
- [9] Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, and Wenbin Jiang, Accelerating graph convolutional networks through a PIM-accelerated approach, IEEE Transactions on Computers, accepted (2023)..
- [10] Fubing Mao, Yapu Guo, Xiaofei Liao, Hai Jin, Wei Zhang, Haikun Liu, Long Zheng, Xu Liu, Zihan Jiang, Xiaohua Zheng. Accelerating Loop-oriented RTL Simulation with Code Instrumentation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023, accepted.