Chengying Huan

24 papers A* 3A 4B 4Misc 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative Decoding. CoRR Zhibin Wang, Zhonghui Zhang, Yuhang Zhou, Zibo Wang, Mo Zhou, Peng Jiang, Weilin Cai, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian
2025	J	`jnl`	Adaptive Rescheduling in Prefill-Decode Disaggregated LLM Inference. CoRR Zhibin Wang, Zetao Hong, Xue Li, Zibo Wang, Shipeng Li, Qingkai Meng, Qing Wang, Chengying Huan, Rong Gu, Sheng Zhong, Chen Tian
2025	A	`conf`	Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. EuroSys Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu
2025	J	`jnl`	Bingo: Radix-based Bias Factorization for Random Walk on Dynamic Graphs. CoRR Pinhuan Wang, Chengying Huan, Zhibin Wang, Chen Tian, Yuede Ji, Hang Liu
2025	J	`jnl`	FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. CoRR 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
2025	J	`jnl`	Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine. Proc. ACM Manag. Data Chengying Huan, Zhengyi Yang, Haoshen Yang, Shaonan Ma, Rong Gu, Fang Xi, Yongchao Liu, Guihai Chen, Chen Tian
2025	J	`jnl`	HotPrefix: Hotness-Aware KV Cache Scheduling for Efficient Prefix Sharing in LLM Inference Systems. Proc. ACM Manag. Data Yuhang Li, Rong Gu, Chengying Huan, Zhibin Wang, Renjie Yao, Chen Tian, Guihai Chen
2025	Misc	`conf`	HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. ICASSP Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao
2025	J	`jnl`	HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks. CoRR Xiangfei Fang, Boying Wang, Chengying Huan, Shaonan Ma, Heng Zhang, Chen Zhao
2025	Misc	`conf`	HyperSF: A Hypergraph Representation Learning Method Based on Structural Fusion. ICASSP Xiangfei Fang, Chengying Huan, Boying Wang, Shaonan Ma, Heng Zhang, Chen Zhao
2025	J	`jnl`	OrchANN: A Unified I/O Orchestration Framework for Skewed Out-of-Core Vector Search. CoRR Chengying Huan, Lizheng Chen, Zhengyi Yang, Shaonan Ma, Rong Gu, Renjie Yao, Zhibin Wang, Mingxing Zhang, Fang Xi, Jie Tao, Gang Zhang, Guihai Chen, Chen Tian
2025	J	`jnl`	Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving. CoRR Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian
2025	A*	`conf`	TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms. ICDE Chengying Huan, Heng Zhang, Yongchao Liu, Likang Chen, Xuran Wang, Yongchun Jiang, Shaonan Ma, Yanjun Wu
2025	B	`conf`	UniCache: A Unified Batch-Level Learning-Based Content Caching. IWQoS Yanting Chen, Xu Zhang, Yuchen Yang, Chengying Huan, Shaonan Ma, Jiawei Ye, Peng Wang, Jie Wu
2024	B	`conf`	Revisiting Learned Index with Byte-addressable Persistent Storage. ICPP Rui Zhang, Yukai Huang, Sicheng Liang, Shangyi Sun, Shaonan Ma, Chengying Huan, Lulu Chen, Zhihui Lu, Yang Xu, Ming Yan, Jie Wu
2024	J	`jnl`	TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu
2023	B	`conf`	G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen
2023	A	`conf`	TANGO: re-thinking quantization for graph neural network training on GPUs. SC Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
2023	A	`conf`	TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu
2023	J	`jnl`	Tango: rethinking quantization for graph neural network training on GPUs. CoRR Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
2022	A	`conf`	Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS 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
2022	B	`conf`	T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu
2022	A*	`conf`	TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song
2018	A*	`conf`	Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System. ASPLOS Mingxing Zhang, Yongwei Wu, Youwei Zhuo, Xuehai Qian, Chengying Huan, Kang Chen