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ORCIDFeng Zhang 0007
张峰
Person information
- unicode name: 张峰
- affiliation: Renmin University of China, Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China
- affiliation (former): Tsinghua University, Department of Computer Science and Technology, Beijing, China
Other persons with the same name
- Feng Zhang — disambiguation page
- Feng Zhang 0001
![[0000-0001-9805-395X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9805-395X")
— Queen's University, Kingston, ON, Canada - Feng Zhang 0002 — Shandong University, Jinan, China
- Feng Zhang 0003 — Nanjing University of Science and Technology, China
- Feng Zhang 0004 — North University of China, Taiyuan, China
- Feng Zhang 0005 — Yulin University, School of Information Engineering, China (and 1 more)
- Feng Zhang 0006 — Chinese Academy of Sciences, State Key Laboratory of Management and Control for Complex Systems, Beijing, China
- Feng Zhang 0008 — Fudan University, School of Life Sciences, China
- Feng Zhang 0009 — Zhejiang University, Institute of Geographic Information Science, School of Earth Sciences, Hangzhou, China
- Feng Zhang 0010 — Shandong Agricultural University, China (and 1 more)
- Feng Zhang 0011 — Beijing Institute of Technology, Department of Electronic Engineering, China
- Feng Zhang 0012 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Feng Zhang 0013 — Tongji University, College of Electronics and Information Engineering, Shanghai, China
- Feng Zhang 0014 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China (and 2 more)
- Feng Zhang 0015 — University of Connecticut, Department of Computer Science and Engineering, Storrs, CT
- Feng Zhang 0016 — University of Maryland, Electrical and Computer Engineering, College Park, MD, USA
- Feng Zhang 0017 — University of South China, Department of Environmental and Safety Engineering, Hengyang, China (and 1 more)
- Feng Zhang 0018 — Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Feng Zhang 0019 — Fairchild Semiconductor, South Portland, MN, USA (and 1 more)
- Feng Zhang 0020 — Royal Institute of Technology, School of Information and Communication Technology, Stockholm, Sweden
- Feng Zhang 0021 — Hebei University, College of Mathematics and Information Science, China
- Feng Zhang 0022 — Northwestern Polytechnical University, School of Mechanics, Civil Engineering and Architecture, Xi'an, China
- Feng Zhang 0023 — Southwest University, School of Mathematics and Statistics, Chongqing, China
- Feng Zhang 0024 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
- Feng Zhang 0025 — Southwest Jiaotong University, School of Mathematics, Chengdu, China
- Feng Zhang 0026 — University of New South Wales, Sydney, Australia
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Journal Articles
- 2024
[j35]Yani Liu, Feng Zhang, Zaifeng Pan, Xiaoguang Guo, Yihua Hu, Xiao Zhang, Xiaoyong Du:
Compressed data direct computing for Chinese dataset on DCU. CCF Trans. High Perform. Comput. 6(2): 206-220 (2024)- [j34]Weitao Wan, Feng Zhang, Chenyang Zhang, Mingde Zhang, Jidong Zhai, Yunpeng Chai, Huanchen Zhang, Wei Lu, Yuxing Chen, Haixiang Li, Anqun Pan, Xiaoyong Du:
Compressed Data Direct Computing for Databases. IEEE Trans. Knowl. Data Eng. 36(5): 1902-1918 (2024) - [j33]Jiesong Liu, Feng Zhang, Lv Lu, Chang Qi, Xiaoguang Guo, Dong Deng, Guoliang Li, Huanchen Zhang, Jidong Zhai, Hechen Zhang, Yuxing Chen, Anqun Pan, Xiaoyong Du:
G-Learned Index: Enabling Efficient Learned Index on GPU. IEEE Trans. Parallel Distributed Syst. 35(6): 795-812 (2024) - 2023
- [j32]Zheng Chen, Feng Zhang, Jiawei Guan, Jidong Zhai, Xipeng Shen, Huanchen Zhang, Wentong Shu, Xiaoyong Du:
CompressGraph: Efficient Parallel Graph Analytics with Rule-Based Compression. Proc. ACM Manag. Data 1(1): 4:1-4:31 (2023) - [j31]Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, Wei Lin:
BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach. Proc. ACM Manag. Data 1(3): 206:1-206:29 (2023) - [j30]Jiawei Guan, Feng Zhang, Siqi Ma, Kuangyu Chen, Yihua Hu, Yuxing Chen, Anqun Pan, Xiaoyong Du:
Homomorphic Compression: Making Text Processing on Compression Unlimited. Proc. ACM Manag. Data 1(4): 271:1-271:28 (2023) - [j29]Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia:
Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections. IEEE Trans. Computers 72(12): 3546-3560 (2023) - [j28]Feng Zhang, Ruofan Wu, Jiawei Guan, Zhen Zheng, Xiaoguang Guo, Xiao Zhang, Xiaoyong Du, Xipeng Shen:
Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. IEEE Trans. Knowl. Data Eng. 35(10): 10181-10196 (2023) - [j27]Yihua Hu, Feng Zhang, Yifei Xia, Zhiming Yao, Letian Zeng, Haipeng Ding, Zhewei Wei, Xiao Zhang, Jidong Zhai, Xiaoyong Du, Siqi Ma:
Enabling Efficient Random Access to Hierarchically Compressed Text Data on Diverse GPU Platforms. IEEE Trans. Parallel Distributed Syst. 34(10): 2699-2717 (2023) - 2022
- [j26]Qiang Yin, Jianhua Wang, Sheng Du, Jianquan Leng, Jintao Li, Yinhao Hong, Feng Zhang, Yunpeng Chai, Xiao Zhang, Xiaonan Zhao, Mengyu Li, Song Xiao, Wei Lu:
An Adaptive Elastic Multi-model Big Data Analysis and Information Extraction System. Data Sci. Eng. 7(4): 328-338 (2022) - [j25]Qingyu Xu, Feng Zhang, Zhiming Yao, Lv Lu, Xiaoyong Du, Dong Deng, Bingsheng He:
Efficient Load-Balanced Butterfly Counting on GPU. Proc. VLDB Endow. 15(11): 2450-2462 (2022) - [j24]Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiao Zhang, Xiaoyong Du:
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. IEEE Trans. Knowl. Data Eng. 34(12): 5896-5909 (2022) - [j23]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
POCLib: A High-Performance Framework for Enabling Near Orthogonal Processing on Compression. IEEE Trans. Parallel Distributed Syst. 33(2): 459-475 (2022) - [j22]Zaifeng Pan, Feng Zhang, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Exploring Data Analytics Without Decompression on Embedded GPU Systems. IEEE Trans. Parallel Distributed Syst. 33(7): 1553-1568 (2022) - [j21]Jiesong Liu, Feng Zhang, Hourun Li, Dalin Wang, Weitao Wan, Xiaokun Fang, Jidong Zhai, Xiaoyong Du:
Exploring Query Processing on CPU-GPU Integrated Edge Device. IEEE Trans. Parallel Distributed Syst. 33(10): 4057-4070 (2022) - [j20]Jidong Zhai, Liyan Zheng, Feng Zhang, Xiongchao Tang, Haojie Wang, Teng Yu, Yuyang Jin, Shuaiwen Leon Song, Wenguang Chen:
Detecting Performance Variance for Parallel Applications Without Source Code. IEEE Trans. Parallel Distributed Syst. 33(10): 4239-4255 (2022) - [j19]Zaifeng Pan, Feng Zhang, Hourun Li, Chenyang Zhang, Xiaoyong Du, Dong Deng:
G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification. IEEE Trans. Parallel Distributed Syst. 33(11): 3015-3027 (2022) - [j18]Jidong Zhai, Liyan Zheng, Jinghan Sun, Feng Zhang, Xiongchao Tang, Xuehai Qian, Bingsheng He, Wei Xue, Wenguang Chen, Weimin Zheng:
Leveraging Code Snippets to Detect Variations in the Performance of HPC Systems. IEEE Trans. Parallel Distributed Syst. 33(12): 3558-3574 (2022) - [j17]Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du:
Payment behavior prediction on shared parking lots with TR-GCN. VLDB J. 31(5): 1035-1058 (2022) - 2021
- [j16]Xian-He Sun, Dong Li, Wen-Guang Chen, Tao Li, Jiwu Shu, Bo Wu, Jin Xiong, Jinging Xue, Feng Zhang, Jidong Zhai, Zhiia Zhao:
Preface. J. Comput. Sci. Technol. 36(1): 1-3 (2021) - [j15]Feng Zhang, Jidong Zhai, Bo Wu, Bingsheng He, Wenguang Chen, Xiaoyong Du:
Automatic Irregularity-Aware Fine-Grained Workload Partitioning on Integrated Architectures. IEEE Trans. Knowl. Data Eng. 33(3): 867-881 (2021) - [j14]Chenyang Zhang, Feng Zhang, Xiaoguang Guo, Bingsheng He, Xiao Zhang, Xiaoyong Du:
iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures. IEEE Trans. Parallel Distributed Syst. 32(7): 1740-1752 (2021) - [j13]Feng Zhang, Zheng Chen, Chenyang Zhang, Amelie Chi Zhou, Jidong Zhai, Xiaoyong Du:
An Efficient Parallel Secure Machine Learning Framework on GPUs. IEEE Trans. Parallel Distributed Syst. 32(9): 2262-2276 (2021) - [j12]Feng Zhang, Chenyang Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du:
Fine-Grained Multi-Query Stream Processing on Integrated Architectures. IEEE Trans. Parallel Distributed Syst. 32(9): 2303-2320 (2021) - [j11]Feng Zhang, Jiya Su, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
YuenyeungSpTRSV: A Thread-Level and Warp-Level Fusion Synchronization-Free Sparse Triangular Solve. IEEE Trans. Parallel Distributed Syst. 32(9): 2321-2337 (2021) - [j10]Dandan Song, Feng Zhang, Meiyan Lu, Sicheng Yang, Heyan Huang:
DTransE: Distributed Translating Embedding for Knowledge Graph. IEEE Trans. Parallel Distributed Syst. 32(10): 2509-2523 (2021) - [j9]Feng Zhang, Jidong Zhai, Xipeng Shen, Dalin Wang, Zheng Chen, Onur Mutlu, Wenguang Chen, Xiaoyong Du:
TADOC: Text analytics directly on compression. VLDB J. 30(2): 163-188 (2021) - 2020
- [j8]Bo Wan, Jiale Dang, Zhetao Li, Hongfang Gong, Feng Zhang, Sangyoon Oh:
Modeling Analysis and Cost-Performance Ratio Optimization of Virtual Machine Scheduling in Cloud Computing. IEEE Trans. Parallel Distributed Syst. 31(7): 1518-1532 (2020) - 2019
- [j7]Feng Zhang, Weifeng Liu, Ningxuan Feng, Jidong Zhai, Xiaoyong Du:
Performance evaluation and analysis of sparse matrix and graph kernels on heterogeneous processors. CCF Trans. High Perform. Comput. 1(2): 131-143 (2019) - [j6]Feng Zhang, Jidong Zhai, Marc Snir, Hai Jin, Hironori Kasahara, Mateo Valero:
Guest Editorial: Special Issue on Network and Parallel Computing for Emerging Architectures and Applications. Int. J. Parallel Program. 47(3): 343-344 (2019) - [j5]Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns:
Hardware-Conscious Stream Processing: A Survey. SIGMOD Rec. 48(4): 18-29 (2019) - 2018
- [j4]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Wenguang Chen:
Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights. Proc. VLDB Endow. 11(11): 1522-1535 (2018) - [j3]Feng Zhang, Heng Lin, Jidong Zhai, Jie Cheng, Dingyi Xiang, Jizhong Li, Yunpeng Chai, Xiaoyong Du:
An adaptive breadth-first search algorithm on integrated architectures. J. Supercomput. 74(11): 6135-6155 (2018) - 2017
- [j2]Feng Zhang, Jidong Zhai, Bingsheng He, Shuhao Zhang, Wenguang Chen:
Understanding Co-Running Behaviors on Integrated CPU/GPU Architectures. IEEE Trans. Parallel Distributed Syst. 28(3): 905-918 (2017) - 2016
- [j1]Jidong Zhai, Feng Zhang, Qingwen Li, Wenguang Chen, Weimin Zheng:
Characterizing and optimizing TPC-C workloads on large-scale systems using SSD arrays. Sci. China Inf. Sci. 59(9): 92104 (2016)
Conference and Workshop Papers
- 2023
- [c27]Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du:
RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. ASPLOS (4) 2023: 268-286 - [c26]Jiesong Liu, Feng Zhang, Jiawei Guan, Hsin-Hsuan Sung, Xiaoguang Guo, Xiaoyong Du, Xipeng Shen:
Space-Efficient TREC for Enabling Deep Learning on Microcontrollers. ASPLOS (3) 2023: 644-659 - [c25]Jiamin Hou, Yuhong Lei, Zhe Peng, Wei Lu, Feng Zhang, Xiaoyong Du:
Efficient Anomaly Detection in Property Graphs. DASFAA (3) 2023: 120-136 - [c24]Yu Zhang, Feng Zhang, Hourun Li, Shuhao Zhang, Xiaoyong Du:
CompressStreamDB: Fine-Grained Adaptive Stream Processing without Decompression. ICDE 2023: 408-422 - [c23]Chenyang Zhang, Feng Zhang, Kuangyu Chen, Mingjun Chen, Bingsheng He, Xiaoyong Du:
EdgeNN: Efficient Neural Network Inference for CPU-GPU Integrated Edge Devices. ICDE 2023: 1193-1207 - 2022
- [c22]Yang Chen, Feng Zhang, Yinhao Hong, Yunpeng Chai, Wei Lu, Hong Chen, Xiaoyong Du, Peipei Wang, Le Mi, Jintao Li, Xilin Tang, Yanliang Zhou, Wei Zhou, Peng Zhang, Fengyi Chen, Pengfei Li, Yu Li:
Taming the Big Data Monster: Managing Petabytes of Data with Multi-Model Databases. SBAC-PAD 2022: 283-292 - [c21]Feng Zhang, Yihua Hu, Haipeng Ding, Zhiming Yao, Zhewei Wei, Xiao Zhang, Xiaoyong Du:
Optimizing Random Access to Hierarchically-Compressed Data on GPU. SC 2022: 18:1-18:15 - [c20]Feng Zhang, Weitao Wan, Chenyang Zhang, Jidong Zhai, Yunpeng Chai, Haixiang Li, Xiaoyong Du:
CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases. SIGMOD Conference 2022: 1655-1669 - [c19]Tong Li, Li Li, Xiangxiang Wang, Xu Zhang, Feng Zhang, Kao Wan:
An In-depth Analysis of Subflow Degradation for Multi-path TCP on High Speed Rails. WoWMoM 2022: 231-240 - [c18]Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
DREW: Efficient Winograd CNN Inference with Deep Reuse. WWW 2022: 1807-1816 - 2021
- [c17]Dalin Wang, Feng Zhang, Weitao Wan, Hourun Li, Xiaoyong Du:
FineQuery: Fine-Grained Query Processing on CPU-GPU Integrated Architectures. CLUSTER 2021: 355-365 - [c16]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. ICDE 2021: 1679-1690 - [c15]Ruofan Wu, Feng Zhang, Zhen Zheng, Xiaoyong Du, Xipeng Shen:
Exploring deep reuse in winograd CNN inference. PPoPP 2021: 483-484 - 2020
- [c14]Meiyan Lu, Lejian Liao, Feng Zhang, Dandan Song:
Exploration of TransE in a Distributed Environment. ICDCS 2020: 1173-1174 - [c13]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
Enabling Efficient Random Access to Hierarchically-Compressed Data. ICDE 2020: 1069-1080 - [c12]Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He:
Towards Concurrent Stateful Stream Processing on Multicore Processors. ICDE 2020: 1537-1548 - [c11]Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang:
CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. ICPP 2020: 2:1-2:11 - [c10]Zheng Chen, Feng Zhang, Amelie Chi Zhou, Jidong Zhai, Chenyang Zhang, Xiaoyong Du:
ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs. ICPP 2020: 22:1-22:11 - [c9]Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du:
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. IJCAI 2020: 4424-4430 - [c8]Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Jiazao Lin, Haidi Liu, Xiaoyong Du:
Payment Behavior Prediction and Statistical Analysis for Shared Parking Lots. NPC 2020: 288-293 - [c7]Feng Zhang, Lin Yang, Shuhao Zhang, Bingsheng He, Wei Lu, Xiaoyong Du:
FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures. USENIX Annual Technical Conference 2020: 633-647 - 2019
- [c6]Chengxin Guo, Hong Chen, Feng Zhang, Cuiping Li:
Parallel Hybrid Join Algorithm on GPU. HPCC/SmartCity/DSS 2019: 1572-1579 - [c5]Chengxin Guo, Hong Chen, Feng Zhang, Cuiping Li:
Distributed Join Algorithms on Multi-CPU Clusters with GPUDirect RDMA. ICPP 2019: 65:1-65:10 - [c4]Ningxuan Feng, Feng Zhang, Jiazao Lin, Jidong Zhai, Xiaoyong Du:
Statistical Analysis and Prediction of Parking Behavior. NPC 2019: 93-104 - 2018
- [c3]Feng Zhang, Jidong Zhai, Xipeng Shen, Onur Mutlu, Wenguang Chen:
Zwift: A Programming Framework for High Performance Text Analytics on Compressed Data. ICS 2018: 195-206 - 2017
- [c2]Feng Zhang, Bo Wu, Jidong Zhai, Bingsheng He, Wenguang Chen:
FinePar: irregularity-aware fine-grained workload partitioning on integrated architectures. CGO 2017: 27-38 - 2015
- [c1]Feng Zhang, Jidong Zhai, Wenguang Chen, Bingsheng He, Shuhao Zhang:
To Co-run, or Not to Co-run: A Performance Study on Integrated Architectures. MASCOTS 2015: 89-92
Editorship
- 2018
- [e1]Feng Zhang, Jidong Zhai, Marc Snir, Hai Jin, Hironori Kasahara, Mateo Valero:
Network and Parallel Computing - 15th IFIP WG 10.3 International Conference, NPC 2018, Muroran, Japan, November 29 - December 1, 2018, Proceedings. Lecture Notes in Computer Science 11276, Springer 2018, ISBN 978-3-030-05676-6 [contents]
Data and Artifacts
- 2022
- [d1]Feng Zhang:
YuenyeungSpTRSV. IEEE DataPort, 2022
Informal and Other Publications
- 2023
- [i5]Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu:
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy. CoRR abs/2304.12866 (2023) - 2021
- [i4]Feng Zhang, Zaifeng Pan, Yanliang Zhou, Jidong Zhai, Xipeng Shen, Onur Mutlu, Xiaoyong Du:
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression. CoRR abs/2106.06889 (2021) - 2020
- [i3]Shuhao Zhang, Feng Zhang, Yingjun Wu, Bingsheng He, Paul Johns:
Hardware-Conscious Stream Processing: A Survey. CoRR abs/2001.05667 (2020) - [i2]Feng Zhang, Jidong Zhai, Xipeng Shen, Dalin Wang, Zheng Chen, Onur Mutlu, Wenguang Chen, Xiaoyong Du:
TADOC: Text Analytics Directly on Compression. CoRR abs/2009.09442 (2020) - 2019
- [i1]Shuhao Zhang, Yingjun Wu, Feng Zhang, Bingsheng He:
Scaling Stream Processing with Transactional State Management on Multicores. CoRR abs/1904.03800 (2019)
Coauthor Index
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