SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. - Bo Wu 002; Guoyang Chen; Dong Li 001; Xipeng Shen; Jeffrey S. Vetter (PACT, 2014)

PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. - Guoyang Chen; Bo Wu 002; Dong Li 001; Xipeng Shen (MICRO, 2014)

Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. - Bo Wu 002; Guoyang Chen; Dong Li 001; Xipeng Shen; Jeffrey S. Vetter (ICS, 2015)

Free launch: optimizing GPU dynamic kernel launches through thread reuse. - Guoyang Chen; Xipeng Shen (MICRO, 2015)

Enabling Portable Optimizations of Data Placement on GPU. - Guoyang Chen; Bo Wu 002; Dong Li 001; Xipeng Shen (IEEE Micro, 2015)

OpenCL-based erasure coding on heterogeneous architectures. - Guoyang Chen; Huiyang Zhou; Xipeng Shen; Joshua Gahm; Narayan Venkat; Skip Booth; John Marshall (ASAP, 2016)

Towards Ontology-Based Program Analysis. - Yue Zhao 011; Guoyang Chen; Chunhua Liao; Xipeng Shen (ECOOP, 2016)

Coherence-Free Multiview: Enabling Reference-Discerning Data Placement on GPU. - Guoyang Chen; Xipeng Shen (ICS, 2016)

Data-centric combinatorial optimization of parallel code. - Hao Luo 007; Guoyang Chen; Pengcheng Li 001; Chen Ding 001; Xipeng Shen (PPoPP, 2016)

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. - Guoyang Chen; Yufei Ding 001; Xipeng Shen (ICDE, 2017)

Efficient support of position independence on non-volatile memory. - Guoyang Chen; Lei Zhang; Richa Budhiraja; Xipeng Shen; Youfeng Wu (MICRO, 2017)

EffiSha: A Software Framework for Enabling Effficient Preemptive Scheduling of GPU. - Guoyang Chen; Yue Zhao 011; Xipeng Shen; Huiyang Zhou (PPoPP, 2017)

Optimizing Data Placement on GPU Memory: A Portable Approach. - Guoyang Chen; Xipeng Shen; Bo Wu 002; Dong Li 001 (IEEE Trans. Computers, 2017)

Footprint modeling of cache associativity and granularity. - Hao Luo 007; Guoyang Chen; Fangzhou Liu; Pengcheng Li 001; Chen Ding 001; Xipeng Shen (MEMSYS, 2018)

Parallel Training via Computation Graph Transformation. - Fei Wang 046; Guoyang Chen; Weifeng Zhang 003; Tiark Rompf (IEEE BigData, 2019)

Hardware-Guided Symbiotic Training for Compact, Accurate, yet Execution-Efficient LSTM. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (CoRR, 2019)

Sionnx: Automatic Unit Test Generator for ONNX Conformance. - Xinli Cai; Peng Zhou; Shuhan Ding; Guoyang Chen; Weifeng Zhang 003 (CoRR, 2019)

Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. - Huijie Feng; Chunpeng Wu; Guoyang Chen; Weifeng Zhang 003; Yang Ning (AAAI, 2020)

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. - Peng Gu; Xinfeng Xie; Yufei Ding 001; Guoyang Chen; Weifeng Zhang 003; Dimin Niu; Yuan Xie 001 (ISCA, 2020)

PIM-DL: Boosting DNN Inference on Digital Processing In-Memory Architectures via Data Layout Optimizations. - Minxuan Zhou; Guoyang Chen; Mohsen Imani; Saransh Gupta; Weifeng Zhang 003; Tajana Rosing (PACT, 2021)

Simple Augmentation Goes a Long Way: ADRL for DNN Quantization. - Lin Ning 001; Guoyang Chen; Weifeng Zhang 003; Xipeng Shen (ICLR, 2021)

Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. - Xin He; Jiawen Liu; Zhen Xie; Hao Chen 002; Guoyang Chen; Weifeng Zhang 003; Dong Li 001 (ICS, 2021)

EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. - Boyuan Feng; Yuke Wang; Guoyang Chen; Weifeng Zhang 003; Yuan Xie 001; Yufei Ding 001 (PPoPP, 2021)

Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm. - Hongxu Yin; Guoyang Chen; Yingmin Li; Shuai Che; Weifeng Zhang 003; Niraj K. Jha (IEEE Trans. Emerg. Top. Comput., 2022)

GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. - Chen Nie; Guoyang Chen; Weifeng Zhang 003; Zhezhi He (ICCD, 2023)

A Classical Architecture For Digital Quantum Computers. - Fang Zhang; Xing Zhu; Rui Chao; Cupjin Huang; Linghang Kong; Guoyang Chen; Dawei Ding 002; Haishan Feng; Yihuai Gao; Xiaotong Ni; Liwei Qiu; Zhe Wei; et al. (CoRR, 2023)