Yu Huang

49 papers A* 16A 10Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture.
CoRR
Huize Li, Qinggang Wang, Bing Gao, Dan Chen, Yu Huang, Xin Xin
2026 J jnl
FR
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaonan Wang, Hengshan Yue, Nan Jiang, Zongdian Li, Jiaguo Deng, Yu Huang, Meikang Qiu, Xiaohui Wei
2026 A conf
Gopher: Efficient Dynamic Graph Pattern Mining via DAG-Driven Execution.
EuroSys
Yi Zhang, Yu Huang, Chaoqiang Liu, Haifeng Liu, Juntao Chen, Jingrui Yuan, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue
2025 — conf
ATLAS: Efficient Dynamic GNN System Through Abstraction-Driven Incremental Execution.
APPT
Jingyi Zhou, Yu Huang, Long Zheng, Yang Wu, Huize Li, Amelie Chi Zhou, Xiaofei Liao, Hai Jin, Jingling Xue
2025 — conf
CeDMA: Enhancing Memory Efficiency of Heterogeneous Accelerator Systems Through Central DMA Controlling.
APPT
Ruoshi Li, Long Zheng, Yu Huang, Zhiyuan Shao, Amelie Chi Zhou, Xiaofei Liao, Hai Jin, Jingling Xue
2025 J jnl
Cheetah: Accelerating Dynamic Graph Mining with Grouping Updates.
ACM Trans. Archit. Code Optim.
Yi Zhang, Xiaomeng Yi, Yu Huang, Jingrui Yuan, Chuangyi Gui, Dan Chen, Long Zheng, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue
2025 — conf
Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing.
HPEC
Jun Mai, Qinggang Wang, Yu Huang, Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin
2025 A* conf
HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation.
ISCA
Chaoqiang Liu, Haifeng Liu, Dan Chen, Yu Huang, Yi Zhang, Wenjing Xiao, Xiaofei Liao, Hai Jin
2025 A conf
MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction.
EuroSys
Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue
2025 — conf
Prism: Practical In-Memory Acceleration for Subgraph Matching at Scale.
HPEC
Deting Chen, Yu Huang, Yi Huang, Binbin Lin, Yi Zhang, Long Zheng, Xiaofei Liao, Hai Jin
2025 A* conf
SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search.
DAC
Chaoqiang Liu, Dan Chen, Yu Huang, Wenjing Xiao, Haifeng Liu, Yi Zhang, Huize Li, Xiaofei Liao, Hai Jin
2024 A* conf
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs.
MICRO
Qinggang Wang, Long Zheng, Zhaozeng An, Shuyi Xiong, Runze Wang, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
2024 J jnl
A heterogeneous 3-D stacked PIM accelerator for GCN-based recommender systems.
CCF Trans. High Perform. Comput.
Xinyang Shen, Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin
2024 J jnl
ARCHER: a ReRAM-based accelerator for compressed recommendation systems.
Frontiers Comput. Sci.
Xinyang Shen, Xiaofei Liao, Long Zheng, Yu Huang, Dan Chen, Hai Jin
2024 J jnl
CPSAA: Accelerating Sparse Attention Using Crossbar-Based Processing-In-Memory Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Huize Li, Hai Jin, Long Zheng, Xiaofei Liao, Yu Huang, Cong Liu, Jiahong Xu, Zhuohui Duan, Dan Chen, Chuangyi Gui
2024 A* conf
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing.
ISCA
Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue
2024 A* conf
High-Performance and Resource-Efficient Dynamic Memory Management in High-Level Synthesis.
DAC
Qinggang Wang, Long Zheng, Zhaozeng An, Haoqin Huang, Haoran Zhu, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
2024 J jnl
L-FNNG: Accelerating Large-Scale KNN Graph Construction on CPU-FPGA Heterogeneous Platform.
ACM Trans. Reconfigurable Technol. Syst.
Chaoqiang Liu, Xiaofei Liao, Long Zheng, Yu Huang, Haifeng Liu, Yi Zhang, Haiheng He, Haoyan Huang, Jingyi Zhou, Hai Jin
2024 J jnl
PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Long Zheng, Ao Hu, Qinggang Wang, Yu Huang, Haoqin Huang, Pengcheng Yao, Shuyi Xiong, Xiaofei Liao, Hai Jin
2024 J jnl
Towards High-Performance Graph Processing: From a Hardware/Software Co-Design Perspective.
J. Comput. Sci. Technol.
Xiaofei Liao, Wenju Zhao, Hai Jin, Pengcheng Yao, Yu Huang, Qinggang Wang, Jin Zhao, Long Zheng, Yu Zhang, Zhiyuan Shao
2024 A* conf
Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing.
DAC
Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin
2023 A* conf
AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems.
ICDE
Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue
2023 J jnl
Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach.
IEEE Trans. Computers
Hai Jin, Dan Chen, Long Zheng, Yu Huang, Pengcheng Yao, Jin Zhao, Xiaofei Liao, Wenbin Jiang
2023 A* conf
Accelerating Personalized Recommendation with Cross-level Near-Memory Processing.
ISCA
Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue
2023 A conf
FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction.
FPGA
Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin
2023 A conf
GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models.
IPDPS
Haiheng He, Dan Chen, Long Zheng, Yu Huang, Haifeng Liu, Chaoqiang Liu, Xiaofei Liao, Hai Jin
2023 A* conf
MeG
DAC
Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin
2023 A* conf
MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing.
ISCA
Dan Chen, Haiheng He, Hai Jin, Long Zheng, Yu Huang, Xinyang Shen, Xiaofei Liao
2022 A* conf
A Data-Centric Accelerator for High-Performance Hypergraph Processing.
MICRO
Qinggang Wang, Long Zheng, Ao Hu, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue
2022 J jnl
A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Long Zheng, Haifeng Liu, Yu Huang, Dan Chen, Chaoqiang Liu, Haiheng He, Xiaofei Liao, Hai Jin, Jingling Xue
2022 A conf
A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures.
IPDPS
Dan Chen, Hai Jin, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Qinggang Wang, Haifeng Liu, Haiheng He, Xiaofei Liao, Ran Zheng
2022 A* conf
Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures.
HPCA
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue
2022 — conf
Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores.
HPEC
Yufei Sun, Long Zheng, Qinggang Wang, Xiangyu Ye, Yu Huang, Pengcheng Yao, Xiaofei Liao, Hai Jin
2022 J jnl
CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture.
CoRR
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Dan Chen, Zhuohui Duan, Cong Liu, Jiahong Xu, Chuangyi Gui
2022 A conf
GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow.
SC
Dan Chen, Chuangyi Gui, Yi Zhang, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao
2022 A* conf
Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling.
HPCA
Qinggang Wang, Long Zheng, Jingrui Yuan, Yu Huang, Pengcheng Yao, Chuangyi Gui, Ao Hu, Xiaofei Liao, Hai Jin
2022 J jnl
ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory.
Frontiers Comput. Sci.
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao
2022 A* conf
ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory.
DAC
Huize Li, Hai Jin, Long Zheng, Yu Huang, Xiaofei Liao, Zhuohui Duan, Dan Chen, Chuangyi Gui
2022 J jnl
ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Haifeng Liu, Xiaofei Liao, Hai Jin, Jingling Xue
2022 A* conf
ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing.
HPCA
Pengcheng Yao, Long Zheng, Yu Huang, Qinggang Wang, Chuangyi Gui, Zhen Zeng, Xiaofei Liao, Hai Jin, Jingling Xue
2021 — conf
Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration.
HPEC
Jie Xin, Xianqi Ye, Long Zheng, Qinggang Wang, Yu Huang, Pengcheng Yao, Linchen Yu, Xiaofei Liao, Hai Jin
2021 A conf
GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing.
FPGA
Qinggang Wang, Long Zheng, Yu Huang, Pengcheng Yao, Chuangyi Gui, Xiaofei Liao, Hai Jin, Wenbin Jiang, Fubing Mao
2020 A conf
A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing.
IPDPS
Yu Huang, Long Zheng, Pengcheng Yao, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
2020 A* conf
A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications.
MICRO
Pengcheng Yao, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue
2020 — conf
Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling.
USENIX ATC
Long Zheng, Xianliang Li, Yaohui Zheng, Yu Huang, Xiaofei Liao, Hai Jin, Jingling Xue, Zhiyuan Shao, Qiang-Sheng Hua
2020 A conf
Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications.
IPDPS
Long Zheng, Jieshan Zhao, Yu Huang, Qinggang Wang, Zhen Zeng, Jingling Xue, Xiaofei Liao, Hai Jin
2019 J jnl
Efficient Time-Evolving Stream Processing at Scale.
IEEE Trans. Parallel Distributed Syst.
Xiaofei Liao, Yu Huang, Long Zheng, Hai Jin
2019 A conf
RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing.
DATE
Yu Huang, Long Zheng, Xiaofei Liao, Hai Jin, Pengcheng Yao, Chuangyi Gui
2018 J jnl
Efficient Time-Evolving Stream Processing at Scale.
CoRR
Yu Huang