Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System. - Mingxing Zhang; Yongwei Wu 001; Youwei Zhuo; Xuehai Qian; Chengying Huan; Kang Chen (ASPLOS, 2018)

T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. - Chengying Huan; Shuaiwen Leon Song; Yongchao Liu; Heng Zhang 005; Hang Liu 001; Charles He; Kang Chen; Jinlei Jiang; Yongwei Wu 001 (PACT, 2022)

TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. - Chengying Huan; Hang Liu 001; Mengxing Liu; Yongchao Liu; Changhua He; Kang Chen; Jinlei Jiang; Yongwei Wu 001; Shuaiwen Leon Song (ICDE, 2022)

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. - Heng Zhang 005; Lingda Li; Hang Liu 001; Donglin Zhuang; Rui Liu 002; Chengying Huan; Shuang Song; Dingwen Tao; Yongchao Liu; Charles He; Yanjun Wu; Shuaiwen Leon Song (ICS, 2022)

G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. - Yue Jin; Chengying Huan; Heng Zhang 005; Yongchao Liu; Shuaiwen Leon Song; Rui Zhao; Yao Zhang; Changhua He; Wenguang Chen (PACT, 2023)

TEA: A General-Purpose Temporal Graph Random Walk Engine. - Chengying Huan; Shuaiwen Leon Song; Santosh Pandey; Hang Liu 001; Yongchao Liu; Baptiste Lepers; Changhua He; Kang Chen; Jinlei Jiang; Yongwei Wu 001 (EuroSys, 2023)

TANGO: re-thinking quantization for graph neural network training on GPUs. - Shiyang Chen 004; Da Zheng; Caiwen Ding; Chengying Huan; Yuede Ji; Hang Liu 001 (SC, 2023)

Tango: rethinking quantization for graph neural network training on GPUs. - Shiyang Chen 004; Da Zheng; Caiwen Ding; Chengying Huan; Yuede Ji; Hang Liu 001 (CoRR, 2023)

Revisiting Learned Index with Byte-addressable Persistent Storage. - Rui Zhang 112; Yukai Huang; Sicheng Liang; Shangyi Sun; Shaonan Ma; Chengying Huan; Lulu Chen; Zhihui Lu 002; Yang Xu 010; Ming Yan 009; Jie Wu 003 (ICPP, 2024)

TEA+: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. - Chengying Huan; Yongchao Liu; Heng Zhang 005; Shuaiwen Song; Santosh Pandey; Shiyang Chen 004; Xiangfei Fang; Yue Jin; Baptiste Lepers; Yanjun Wu; Hang Liu 001 (ACM Trans. Archit. Code Optim., 2024)

TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. - Chengying Huan; Yongchao Liu; Heng Zhang 005; Hang Liu 001; Shiyang Chen 004; Shuaiwen Leon Song; Yanjun Wu (IEEE Trans. Parallel Distributed Syst., 2024)

Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. - Pinhuan Wang; Chengying Huan; Zhibin Wang 002; Chen Tian 001; Yuede Ji; Hang Liu 001 (EuroSys, 2025)

HyperSF: A Hypergraph Representation Learning Method Based on Structural Fusion. - Xiangfei Fang; Chengying Huan; Boying Wang; Shaonan Ma; Heng Zhang; Chen Zhao (ICASSP, 2025)

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. - Xiangfei Fang; Boying Wang; Chengying Huan; Shaonan Ma; Heng Zhang; Chen Zhao (ICASSP, 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 (ICDE, 2025)

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. - Xiangfei Fang; Boying Wang; Chengying Huan; Shaonan Ma; Heng Zhang 005; Chen Zhao (CoRR, 2025)

OTM: Efficient k-Order-Based Core Maintenance in Large-Scale Dynamic Hypergraphs. - Xiangfei Fang; Chengying Huan; Heng Zhang 005; Yongchao Liu; Shaonan Ma; Yanjun Wu; Chen Zhao (ACM Trans. Knowl. Discov. Data, 2025)

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. - Zhibin Wang 002; Rui Ning; Chao Fang; Zhonghui Zhang; Xi Lin; Shaobo Ma; Mo Zhou; Xue Li 024; Zhongfeng Wang; Chengying Huan; Rong Gu; Kun Yang; et al. (CoRR, 2025)