Long Zheng

87 papers A* 17A 14B 5C 1Journal 38Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Adaptive Draft Sequence Length: Enhancing Speculative Decoding Throughput on PIM-Enabled Systems.
HPCA
Runze Wang, Qinggang Wang, Haifeng Liu, Long Zheng, 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 A conf
Diff-MoE: Efficient Batched MoE Inference with Priority-Driven Differential Expert Caching.
SC
Kexin Li, Wenkan Huang, Qinggang Wang, Long Zheng, 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
MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows.
HPCA
Wenju Zhao, Pengcheng Yao, Dan Chen, Long Zheng, Xiaofei Liao, Qinggang Wang, Shaobo Ma, Yu Li, Haifeng Liu, Wenjing Xiao, Yufei Sun, Bing Zhu, Hai Jin, Jingling Xue
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 J jnl
PRAGA: A Priority-Aware Hardware/Software Co-design for High-Throughput Graph Processing Acceleration.
ACM Trans. Archit. Code Optim.
Long Zheng, Bing Zhu, Pengcheng Yao, Yuhang Zhou, Chengao Pan, Wenju Zhao, 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
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
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Runze Wang, Ao Hu, Long Zheng, Qinggang Wang, Jingrui Yuan, Haifeng Liu, Linchen Yu, Xiaofei Liao, 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
Minimal Context-Switching Data Race Detection with Dataflow Tracking.
J. Comput. Sci. Technol.
Long Zheng, Yang Li, Jie Xin, Haifeng Liu, Ran Zheng, Xiaofei Liao, 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 A* conf
SpaHet: A Software/Hardware Co-design for Accelerating Heterogeneous-Sparsity based Sparse Matrix Multiplication.
DAC
Haoqin Huang, Pengcheng Yao, Zhaozeng An, Yufei Sun, Ao Hu, Peng Xu, Long Zheng, 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 J jnl
Accelerating Loop-Oriented RTL Simulation With Code Instrumentation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fubing Mao, Yapu Guo, Xiaofei Liao, Hai Jin, Wei Zhang, Haikun Liu, Long Zheng, Xu Liu, Zihan Jiang, XiaoHua Zheng
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 — conf
Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflow.
USENIX ATC
Chuangyi Gui, Xiaofei Liao, Long Zheng, Hai Jin
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
2023 J jnl
PDAS: Improving network pruning based on Progressive Differentiable Architecture Search for DNNs.
Future Gener. Comput. Syst.
Wenbin Jiang, Yuhao Chen, Suyang Wen, Long Zheng, Hai Jin
2023 — conf
SMOG: Accelerating Subgraph Matching on GPUs.
HPEC
Zhibin Wang, Ziheng Meng, Xue Li, Xi Lin, Long Zheng, Chen Tian, Sheng Zhong
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
An Effective 2-Dimension Graph Partitioning for Work Stealing Assisted Graph Processing on Multi-FPGAs.
IEEE Trans. Big Data
Fan Zhang, Long Zheng, Xiaofei Liao, Xinqiao Lv, Hai Jin, Jiang Xiao
2022 C conf
An Efficient Graph Accelerator with Distributed On-Chip Memory Hierarchy.
ICA3PP
Ran Zheng, Yingxin Jiang, Yibo Wang, Yongbo Su, Long Zheng, 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
2022 — conf
Towards Fast GPU-based Sparse DNN Inference: A Hybrid Compute Model.
HPEC
Shaoxian Xu, Minkang Wu, Long Zheng, Zhiyuan Shao, Xiangyu Ye, Xiaofei Liao, Hai Jin
2021 J jnl
Editorial for the special issue on high performance distributed computing.
CCF Trans. High Perform. Comput.
Minyi Guo, Guihai Chen, Xiaofei Liao, Long Zheng
2021 J jnl
Efficient Graph Processing with Invalid Update Filtration.
IEEE Trans. Big Data
Long Zheng, Xianliang Li, Xi Ge, Xiaofei Liao, Zhiyuan Shao, Hai Jin, Qiang-Sheng Hua
2021 J jnl
FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers.
J. Comput. Sci. Technol.
Yu-Wei Wu, Qinggang Wang, Long Zheng, Xiaofei Liao, Hai Jin, Wenbin Jiang, Ran Zheng, Kan Hu
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
2021 — conf
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra.
HPEC
Runze Wang, Linchen Yu, Qinggang Wang, Jie Xin, Long Zheng
2021 B conf
SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction.
PACT
Chuangyi Gui, Xiaofei Liao, Long Zheng, Pengcheng Yao, Qinggang Wang, Hai Jin
2020 J jnl
A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs.
ACM Trans. Archit. Code Optim.
Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue
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 J jnl
Dynamic cluster strategy for hierarchical rollback-recovery protocols in MPI HPC applications.
Concurr. Comput. Pract. Exp.
Xiaofei Liao, Long Zheng, Binsheng Zhang, Yu Zhang, Hai Jin, Xuanhua Shi, Yi Lin
2020 J jnl
Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture.
CCF Trans. High Perform. Comput.
Qingxiang Chen, Long Zheng, Xiaofei Liao, Hai Jin, Qinggang Wang
2020 J jnl
Efficient FPGA-based graph processing with hybrid pull-push computational model.
Frontiers Comput. Sci.
Chengbo Yang, Long Zheng, Chuangyi Gui, Hai Jin
2020 J jnl
ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost.
IEEE Access
Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng
2020 J jnl
ReSQM: Accelerating Database Operations Using ReRAM-Based Content Addressable Memory.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Huize Li, Hai Jin, Long Zheng, Xiaofei Liao
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
A Survey on Graph Processing Accelerators: Challenges and Opportunities.
CoRR
Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, Xiaofei Liao, Hai Jin
2019 J jnl
A Survey on Graph Processing Accelerators: Challenges and Opportunities.
J. Comput. Sci. Technol.
Chuangyi Gui, Long Zheng, Bingsheng He, Cheng Liu, Xinyu Chen, 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 — conf
Fast Triangle Counting on GPU.
HPEC
Chuangyi Gui, Long Zheng, Pengcheng Yao, Xiaofei Liao, 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
2019 J jnl
Supporting Superpages and Lightweight Page Migration in Hybrid Memory Systems.
ACM Trans. Archit. Code Optim.
Xiaoyuan Wang, Haikun Liu, Xiaofei Liao, Ji Chen, Hai Jin, Yu Zhang, Long Zheng, Bingsheng He, Song Jiang
2018 B conf
An efficient graph accelerator with parallel data conflict management.
PACT
Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He
2018 J jnl
DigHR: precise dynamic detection of hidden races with weak causal relation analysis.
J. Supercomput.
Peng Luo, Deqing Zou, Hai Jin, Yajuan Du, Long Zheng, Jinan Shen
2018 J jnl
Efficient and Scalable Graph Parallel Processing With Symbolic Execution.
ACM Trans. Archit. Code Optim.
Long Zheng, Xiaofei Liao, Hai Jin
2018 J jnl
Scalable Data Race Detection for Lock-Intensive Programs with Pending Period Representation.
IEEE Trans. Parallel Distributed Syst.
Xiaofei Liao, Minhao Lin, Long Zheng, Hai Jin, Zhiyuan Shao
2018 A conf
Scalable concurrency debugging with distributed graph processing.
CGO
Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang
2018 B conf
Towards concurrency race debugging: an integrated approach for constraint solving and dynamic slicing.
PACT
Long Zheng, Xiaofei Liao, Hai Jin, Bingsheng He, Jingling Xue, Haikun Liu
2017 J jnl
Exploiting the Parallelism Between Conflicting Critical Sections with Partial Reversion.
IEEE Trans. Parallel Distributed Syst.
Long Zheng, Xiaofei Liao, Hai Jin, Haikun Liu
2017 A conf
Hardware/software cooperative caching for hybrid DRAM/NVM memory architectures.
ICS
Haikun Liu, Yujie Chen, Xiaofei Liao, Hai Jin, Bingsheng He, Long Zheng, Rentong Guo
2017 A conf
Towards Dataflow-Based Graph Accelerator.
ICDCS
Hai Jin, Pengcheng Yao, Xiaofei Liao, Long Zheng, Xianliang Li
2016 J jnl
A Performance Debugging Framework for Unnecessary Lock Contentions with Record/Replay Techniques.
IEEE Trans. Parallel Distributed Syst.
Xiaofei Liao, Long Zheng, Bingsheng He, Song Wu, Hai Jin
2016 B conf
Automatic Security Bug Classification: A Compile-Time Approach.
ICPADS
Tie Du, Long Zheng, Shaopeng Chen, Hai Jin
2015 A conf
On performance debugging of unnecessary lock contentions on multicore processors: a replay-based approach.
CGO
Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
2015 J jnl
Understanding and identifying latent data races cross-thread interleaving.
Frontiers Comput. Sci.
Long Zheng, Xiaofei Liao, Song Wu, Xuepeng Fan, Hai Jin
2014 J jnl
On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach.
CoRR
Long Zheng, Xiaofei Liao, Bingsheng He, Song Wu, Hai Jin
2014 B conf
esDMT: Efficient and scalable deterministic multithreading through memory isolation.
ICPADS
Jie Sun, Xiaofei Liao, Long Zheng, Hai Jin, Yu Zhang