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ORCIDYu Huang 0013
Person information
- affiliation: Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China
Other persons with the same name
- Yu Huang — disambiguation page
- Yu Huang 0001 — Tsinghua University, Department of Computer Science and Technology, China
- Yu Huang 0002
![[0000-0001-8921-036X]](https://images.weserv.nl/?url=https%3A%2F%2Fdblp.org%2Fimg%2Forcid-mark.12x12.png&q=12&output=webp&max-age=110 "0000-0001-8921-036X")
— Nanjing University, Department of Computer Science and Technology, China - Yu Huang 0003 — University of Southern California Los Angeles
- Yu Huang 0004 — Peking University, National Engineering Research Center for Software Engineering, Beijing, China
- Yu Huang 0005 — Mentor Graphics Corporation, Wilsonville, OR, USA (and 1 more)
- Yu Huang 0006 — Sun Yat-Sen University, Department of Mathematics, Guangzhou, China
- Yu Huang 0007 — Samsung Electronics, Ridgefield Park, NJ, USA (and 2 more)
- Yu Huang 0008 — Arizona State University
- Yu Huang 0009 — University of Ulster, School of Computing and Mathematics, Jordanstown, UK (and 1 more)
- Yu Huang 0010 — Hunan University, School of Physics and Electronics, Changsha, China (and 1 more)
- Yu Huang 0011 — Southeast University, School of Electrical Engineering, Nanjing, China
- Yu Huang 0012 — Guangzhou University, China (and 1 more)
- Yu Huang 0014 — Soterix Medical Inc., New York, NY, USA (and 1 more)
- Yu Huang 0015 — Vanderbilt University, Department of Computer Science, Nashville, TN, USA (and 2 more)
- Yu Huang 0016 — Beijing University of Posts and Telecommunications, Key Laboratory of Universal Wireless Communications, Beijing, China
- Yu Huang 0017 — Seagate Technology, MN, USA (and 1 more)
- Yu Huang 0018 — University of Florida, FL, USA (and 1 more)
- Yu Huang 0019 — McMaster University, Hamilton, Ontario, Canada
- Yu Huang 0020 — Vanderbilt University, Nashville, TN, USA
- Yu Huang 0021 — Jinan University, College of Physics and Optoelectronic Engineering, Guangzhou, China (and 1 more)
- Yu Huang 0022 — North China Electric Power University, Department of Automation, Baoding, China
- Yu Huang 0023 — Tsinghua University, Institute for Interdisciplinary Information Sciences, IIIS, China
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2020 – today
- 2025
[j12]Yi Zhang, Xiaomeng Yi, Yu Huang, Jingrui Yuan, Chuangyi Gui, Dan Chen, Long Zheng, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue:
Cheetah: Accelerating Dynamic Graph Mining with Grouping Updates. ACM Trans. Archit. Code Optim. 22(2): 79:1-79:26 (2025)- [c32]Jingyi Zhou, Yu Huang, Long Zheng, Yang Wu, Huize Li, Amelie Chi Zhou, Xiaofei Liao, Hai Jin, Jingling Xue:
ATLAS: Efficient Dynamic GNN System Through Abstraction-Driven Incremental Execution. APPT 2025: 17-33 - [c31]Ruoshi Li, Long Zheng, Yu Huang, Zhiyuan Shao, Amelie Chi Zhou, Xiaofei Liao, Hai Jin, Jingling Xue:
CeDMA: Enhancing Memory Efficiency of Heterogeneous Accelerator Systems Through Central DMA Controlling. APPT 2025: 129-144 - [c30]Chaoqiang Liu, Dan Chen, Yu Huang, Wenjing Xiao, Haifeng Liu, Yi Zhang, Huize Li, Xiaofei Liao, Hai Jin:
SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search. DAC 2025: 1-7 - [c29]Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue:
MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. EuroSys 2025: 492-506 - [c28]Deting Chen, Yu Huang, Yi Huang, Binbin Lin, Yi Zhang, Long Zheng, Xiaofei Liao, Hai Jin:
Prism: Practical In-Memory Acceleration for Subgraph Matching at Scale. HPEC 2025: 1-7 - [c27]Jun Mai, Qinggang Wang, Yu Huang, Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin:
Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing. HPEC 2025: 1-7 - [c26]Chaoqiang Liu, Haifeng Liu, Dan Chen, Yu Huang, Yi Zhang, Wenjing Xiao, Xiaofei Liao, Hai Jin:
HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. ISCA 2025: 884-898 - 2024
- [j11]Xinyang Shen, Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin:
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems. CCF Trans. High Perform. Comput. 6(2): 150-163 (2024) - [j10]Xinyang Shen, Xiaofei Liao, Long Zheng, Yu Huang, Dan Chen, Hai Jin:
ARCHER: a ReRAM-based accelerator for compressed recommendation systems. Frontiers Comput. Sci. 18(5): 185607 (2024) - [j9]Xiaofei Liao, Wenju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao:
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective. J. Comput. Sci. Technol. 39(2): 245-266 (2024) - [j8]Long Zheng, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin:
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1318-1331 (2024) - [j7]Huize Li, Hai Jin, Long Zheng, Xiaofei Liao, Yu Huang, Cong Liu, Jiahong Xu, Zhuohui Duan, Dan Chen, Chuangyi Gui:
CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(6): 1741-1754 (2024) - [j6]Chaoqiang Liu, Xiaofei Liao, Long Zheng, Yu Huang, Haifeng Liu, Yi Zhang, Haiheng He, Haoyan Huang, Jingyi Zhou, Hai Jin:
L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform. ACM Trans. Reconfigurable Technol. Syst. 17(3): 46:1-46:29 (2024) - [c25]Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis. DAC 2024: 203:1-203:6 - [c24]Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin:
Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. DAC 2024: 255:1-255:6 - [c23]Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. ISCA 2024: 382-395 - [c22]Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs. MICRO 2024: 437-450 - 2023
- [j5]Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang:
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach. IEEE Trans. Computers 72(9): 2628-2640 (2023) - [c21]Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin:
MeG2: In-Memory Acceleration for Genome Graphs Analysis. DAC 2023: 1-6 - [c20]Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin:
FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. FPGA 2023: 67-77 - [c19]Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue:
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. ICDE 2023: 53-66 - [c18]Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin:
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models. IPDPS 2023: 13-24 - [c17]Dan Chen, Haiheng He, Hai Jin, Long Zheng, Yu Huang, Xinyang Shen, Xiaofei Liao:
MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing. ISCA 2023: 56:1-56:13 - [c16]Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. ISCA 2023: 66:1-66:13 - 2022
- [j4]Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao:
ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory. Frontiers Comput. Sci. 17(2): 172103 (2022) - [j3]Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue:
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3567-3578 (2022) - [j2]Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue:
A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3745-3756 (2022) - [c15]Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, Chuangyi Gui:
ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory. DAC 2022: 991-996 - [c14]Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin:
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling. HPCA 2022: 184-198 - [c13]Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue:
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing. HPCA 2022: 199-212 - [c12]Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue:
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures. HPCA 2022: 1029-1042 - [c11]Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin:
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores. HPEC 2022: 1-7 - [c10]Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng:
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures. IPDPS 2022: 246-257 - [c9]Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue:
A Data-Centric Accelerator for High-Performance Hypergraph Processing. MICRO 2022: 1326-1341 - [c8]Dan Chen, Chuangyi Gui, Yi Zhang, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao:
GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow. SC 2022: 45:1-45:14 - [i2]Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Dan Chen, Zhuohui Duan, Cong Liu, Jiahong Xu, Chuangyi Gui:
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture. CoRR abs/2210.06696 (2022) - 2021
- [c7]Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao:
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing. FPGA 2021: 149-159 - [c6]Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin:
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration. HPEC 2021: 1-7 - 2020
- [c5]Yu Huang, Long Zheng, Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing. IPDPS 2020: 684-695 - [c4]Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin:
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications. IPDPS 2020: 696-707 - [c3]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. MICRO 2020: 895-907 - [c2]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 ATC 2020: 573-588
2010 – 2019
- 2019
- [j1]Xiaofei Liao, Yu Huang, Long Zheng, Hai Jin:
Efficient Time-Evolving Stream Processing at Scale. IEEE Trans. Parallel Distributed Syst. 30(10): 2165-2178 (2019) - [c1]Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui:
RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing. DATE 2019: 1273-1276 - 2018
- [i1]Yu Huang:
Efficient Time-Evolving Stream Processing at Scale. CoRR abs/1806.00760 (2018)
Coauthor Index
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