GE-SpMM: general-purpose sparse matrix-matrix multiplication on GPUs for graph neural networks. - Guyue Huang; Guohao Dai; Yu Wang 002; Huazhong Yang (SC, 2020)

Exploiting Online Locality and Reduction Parallelism for Sampled Dense Matrix Multiplication on GPUs. - Zhongming Yu; Guohao Dai; Guyue Huang; Yu Wang 002; Huazhong Yang (ICCD, 2021)

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. - Guyue Huang; Guohao Dai; Yu Wang 002; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

Machine Learning for Electronic Design Automation: A Survey. - Guyue Huang; Jingbo Hu; Yifan He 003; Jialong Liu; Mingyuan Ma; Zhaoyang Shen; Juejian Wu; Yuanfan Xu; Hengrui Zhang; Kai Zhong; Xuefei Ning; Yuzhe Ma; et al. (ACM Trans. Design Autom. Electr. Syst., 2021)

Heuristic adaptability to input dynamics for SpMM on CPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (DAC, 2022)

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. - Guyue Huang; Haoran Li; Minghai Qin; Fei Sun; Yufei Ding 001; Yuan Xie 001 (DAC, 2022)

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. - Hengrui Zhang; Zhongming Yu; Guohao Dai; Guyue Huang; Yufei Ding 001; Yuan Xie 001; Yu Wang 002 (MLSys, 2022)

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. - Xiaohui Wang; Yang Wei; Ying Xiong; Guyue Huang; Xian Qian; Yufei Ding 001; Mingxuan Wang; Lei Li 005 (SC, 2022)

Heuristic Adaptability to Input Dynamics for SpMM on GPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (CoRR, 2022)

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. - Guyue Huang; Yang Bai; Liu Liu 017; Yuke Wang; Bei Yu 001; Yufei Ding 001; Yuan Xie 001 (CoRR, 2022)

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. - Guyue Huang; Zhengyang Wang; Po-An Tsai; Chen Zhang 001; Yufei Ding 001; Yuan Xie 001 (MICRO, 2023)

ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. - Guyue Huang; Yang Bai; Liu Liu 017; Yuke Wang; Bei Yu 001; Yufei Ding 001; Yuan Xie 001 (MLSys, 2023)

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Guyue Huang; Yufei Ding 001 (USENIX ATC, 2023)

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. - Tianchen Zhao; Xuefei Ning; Tongcheng Fang; Enshu Liu; Guyue Huang; Zinan Lin 001; Shengen Yan; Guohao Dai; Yu Wang 002 (ECCV (14), 2024)

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Guyue Huang; Dheevatsa Mudigere; Bharath Muthiah; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2024)

High-Performance Deep Learning Systems via DL Sparsity and DL Compiler - Guyue Huang (2024)

TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. - Guyue Huang; Hao Li; Le Qin; Jiayi Huang 001; Yangwook Kang; Yufei Ding 001; Yuan Xie 001 (ISCA, 2025)

GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Guyue Huang; Tony Tong Geng; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

Enabling Efficient Sparse Multiplications on GPUs With Heuristic Adaptability. - Jiaming Xu; Shan Huang 010; Jinhao Li 006; Guyue Huang; Yuan Xie 001; Yu Wang 002; Guohao Dai (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)