Guyue Huang

24 papers A* 4A 2C 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jiaming Xu, Shan Huang, Jinhao Li, Guyue Huang, Yuan Xie, Yu Wang, Guohao Dai
2025 — conf
GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism.
USENIX ATC
Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding
2025 A* conf
TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model.
ISCA
Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang, Yufei Ding, Yuan Xie
2024 — —
High-Performance Deep Learning Systems via DL Sparsity and DL Compiler
Guyue Huang
2024 — conf
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.
ECCV (14)
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024 J jnl
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.
CoRR
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
2024 — conf
OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model.
USENIX ATC
Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
2023 — conf
ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs.
MLSys
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2023 A* conf
RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration.
MICRO
Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
2023 — conf
TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs.
USENIX ATC
Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding
2022 J jnl
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler.
CoRR
Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2022 J jnl
Heuristic Adaptability to Input Dynamics for SpMM on GPUs.
CoRR
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022 A* conf
Heuristic adaptability to input dynamics for SpMM on CPUs.
DAC
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022 A conf
LightSeq2: Accelerated Training for Transformer-Based Models on GPUs.
SC
Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li
2022 J jnl
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning.
CoRR
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2022 A* conf
Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning.
DAC
Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2022 — conf
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.
MLSys
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2021 J jnl
Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction.
CoRR
Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie
2021 C conf
Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs.
ICCD
Zhongming Yu, Guohao Dai, Guyue Huang, Yu Wang, Huazhong Yang
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
CoRR
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
2021 J jnl
Machine Learning for Electronic Design Automation: A Survey.
ACM Trans. Design Autom. Electr. Syst.
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
2021 J jnl
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.
CoRR
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2020 J jnl
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks.
CoRR
Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang
2020 A conf
GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks.
SC
Guyue Huang, Guohao Dai, Yu Wang, Huazhong Yang