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Chengying Huan
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2020 – today
- 2025
[j4]Yuhang Li, Rong Gu, Chengying Huan, Zhibin Wang, Renjie Yao, Chen Tian, Guihai Chen:
HotPrefix: Hotness-Aware KV Cache Scheduling for Efficient Prefix Sharing in LLM Inference Systems. Proc. ACM Manag. Data 3(4): 250:1-250:27 (2025)
[j3]Xiangfei Fang
, Chengying Huan
, Heng Zhang
, Yongchao Liu
, Shaonan Ma
, Yanjun Wu
, Chen Zhao
:
OTM: Efficient k-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs. ACM Trans. Knowl. Discov. Data 19(3): 79:1-79:33 (2025)
[c13]Pinhuan Wang
, Chengying Huan
, Zhibin Wang
, Chen Tian
, Yuede Ji
, Hang Liu
:
Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. EuroSys 2025: 605-620
[c12]Xiangfei Fang, Chengying Huan, Boying Wang, Shaonan Ma, Heng Zhang, Chen Zhao:
HyperSF: A Hypergraph Representation Learning Method Based on Structural Fusion. ICASSP 2025: 1-5
[c11]Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao:
HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. ICASSP 2025: 1-5
[c10]Chengying Huan, Heng Zhang, Yongchao Liu
, Likang Chen, Xuran Wang, Yongchun Jiang, Shaonan Ma, Yanjun Wu:
TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms. ICDE 2025: 1029-1042
[c9]Yanting Chen, Xu Zhang, Yuchen Yang, Chengying Huan, Shaonan Ma, Jiawei Ye, Peng Wang, Jie Wu:
UniCache: A Unified Batch-Level Learning-Based Content Caching. IWQoS 2025: 1-10
[i5]Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao:
HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. CoRR abs/2503.12365 (2025)
[i4]Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu:
Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. CoRR abs/2504.10233 (2025)
[i3]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:
FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. CoRR abs/2505.17694 (2025)
[i2]Zhibin Wang, Zhonghui Zhang, Yuhang Zhou, Zibo Wang, Mo Zhou, Peng Jiang, Weilin Cai, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian:
Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding. CoRR abs/2508.21706 (2025)- 2024
[j2]Chengying Huan
, Yongchao Liu
, Heng Zhang
, Shuaiwen Song
, Santosh Pandey
, Shiyang Chen
, Xiangfei Fang
, Yue Jin
, Baptiste Lepers
, Yanjun Wu
, Hang Liu
:
TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21(2): 37 (2024)
[j1]Chengying Huan
, Yongchao Liu
, Heng Zhang
, Hang Liu
, Shiyang Chen
, Shuaiwen Leon Song
, Yanjun Wu
:
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35(8): 1469-1487 (2024)
[c8]Rui Zhang
, Yukai Huang
, Sicheng Liang
, Shangyi Sun
, Shaonan Ma
, Chengying Huan
, Lulu Chen
, Zhihui Lu
, Yang Xu
, Ming Yan
, Jie Wu
:
Revisiting Learned Index with Byte-addressable Persistent Storage. ICPP 2024: 929-938- 2023
[c7]Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu
, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen:
G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT 2023: 137-149
[c6]Chengying Huan
, Shuaiwen Leon Song
, Santosh Pandey
, Hang Liu
, Yongchao Liu
, Baptiste Lepers
, Changhua He
, Kang Chen
, Jinlei Jiang
, Yongwei Wu
:
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys 2023: 182-198
[c5]Shiyang Chen
, Da Zheng
, Caiwen Ding
, Chengying Huan
, Yuede Ji
, Hang Liu
:
TANGO: re-thinking quantization for graph neural network training on GPUs. SC 2023: 38:1-38:14
[i1]Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu:
Tango: rethinking quantization for graph neural network training on GPUs. CoRR abs/2308.00890 (2023)- 2022
[c4]Chengying Huan, Shuaiwen Leon Song, Yongchao Liu
, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu:
T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT 2022: 69-82
[c3]Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu
, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song:
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE 2022: 578-592
[c2]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:
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS 2022: 11:1-11:14
2010 – 2019
- 2018
[c1]Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen:
Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System. ASPLOS 2018: 608-621
Coauthor Index

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last updated on 2025-11-02 22:14 CET by the dblp team
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