Chengying Huan

According to our database, Chengying Huan authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding.

Zhibin Wang, Rui Ning, Chao Fang, Zhonghui Zhang, Xi Lin, Shaobo Ma, Mo Zhou, Xue Li, Zhongfeng Wang, Chengying Huan, Rong Gu, Kun Yang, Guihai Chen, Sheng Zhong, Chen Tian

CoRR, May, 2025

<i>OTM</i>: Efficient <i>k</i>-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs.

Xiangfei Fang, Chengying Huan, Heng Zhang, Yongchao Liu, Shaonan Ma, Yanjun Wu, Chen Zhao

ACM Trans. Knowl. Discov. Data, April, 2025

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks.

Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao

CoRR, March, 2025

TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms.

Chengying Huan, Heng Zhang, Yongchao Liu, Likang Chen, Xuran Wang, Yongchun Jiang, Shaonan Ma, Yanjun Wu

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks.

Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

HyperSF: A Hypergraph Representation Learning Method Based on Structural Fusion.

Xiangfei Fang, Chengying Huan, Boying Wang, Shaonan Ma, Heng Zhang, Chen Zhao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs.

Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu

Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024

TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications.

Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu

IEEE Trans. Parallel Distributed Syst., August, 2024

<i>TEA+</i>: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture.

Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu

ACM Trans. Archit. Code Optim., June, 2024

Revisiting Learned Index with Byte-addressable Persistent Storage.

Rui Zhang, Yukai Huang, Sicheng Liang, Shangyi Sun, Shaonan Ma, Chengying Huan, Lulu Chen, Zhihui Lu, Yang Xu, Ming Yan, Jie Wu

Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023

Tango: rethinking quantization for graph neural network training on GPUs.

Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu

CoRR, 2023

TANGO: re-thinking quantization for graph neural network training on GPUs.

Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2023

TEA: A General-Purpose Temporal Graph Random Walk Engine.

Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs.

Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen

Proceedings of the 32nd International Conference on Parallel Architectures and Compilation Techniques, 2023

2022

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.

Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

TeGraph: A Novel General-Purpose Temporal Graph Computing Engine.

Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture.

Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2018

Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System.

Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018