SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. - Boyuan Feng; Kun Wan 001; Shu Yang; Yufei Ding 001 (CoRR, 2018)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Boyuan Feng; Lingwei Xie; Yufei Ding 001 (CoRR, 2018)

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Lingwei Xie; Song He; Shu Yang; Boyuan Feng; Kun Wan 001; Zhongnan Zhang; Xiaochen Bo; Yufei Ding 001 (CoRR, 2018)

Penetrating the Fog: the Path to Efficient CNN Models. - Kun Wan 001; Boyuan Feng; Shu Yang; Yufei Ding 001 (CoRR, 2018)

KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. - Yuke Wang; Zhaorui Zeng; Boyuan Feng; Lei Deng 003; Yufei Ding 001 (FCCM, 2019)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Shu Yang; Boyuan Feng; Yufei Ding 001; Lingwei Xie (ICTAI, 2019)

AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. - Yuke Wang; Boyuan Feng; Gushu Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CoRR, 2019)

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. - Boyuan Feng; Yuke Wang; Xu Li; Shu Yang; Xueqiao Peng; Yufei Ding 001 (ICTAI, 2020)

A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. - Yitong Huang; Yu Zhang 086; Boyuan Feng; Xing Guo; Yanyong Zhang; Yufei Ding 001 (NPC, 2020)

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. - Lingwei Xie; Song He; Zhongnan Zhang; Kunhui Lin; Xiaochen Bo; Shu Yang; Boyuan Feng; Kun Wan 001; Kang Yang; Jie Yang; Yufei Ding 001 (Bioinform., 2020)

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. - Yuke Wang; Boyuan Feng; Gushu Li; Shuangchen Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CoRR, 2020)

Optimizing Convolutional Neural Network Architecture via Information Field. - Yuke Wang; Boyuan Feng; Xueqiao Peng; Yufei Ding 001 (CoRR, 2020)

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. - Boyuan Feng; Yuke Wang; Xu Li; Yufei Ding 001 (CoRR, 2020)

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. - Boyuan Feng; Yuke Wang; Zheng Wang 075; Yufei Ding 001 (CoRR, 2020)

UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. - Boyuan Feng; Yuke Wang; Yufei Ding 001 (AAAI, 2021)

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. - Yuke Wang; Boyuan Feng; Gushu Li; Georgios Tzimpragos; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CCGRID, 2021)

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. - Yuke Wang; Boyuan Feng; Xueqiao Peng; Yufei Ding 001 (CIKM, 2021)

Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. - Boyuan Feng; Yuke Wang; Yufei Ding 001 (ICASSP, 2021)

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (IPDPS, 2021)

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. - Yuke Wang; Boyuan Feng; Gushu Li; Shuangchen Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (OSDI, 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)

APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. - Boyuan Feng; Yuke Wang; Tong Geng; Ang Li 006; Yufei Ding 001 (SC, 2021)

Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. - Boyuan Feng; Yuke Wang; Gushu Li; Yuan Xie 001; Yufei Ding 001 (USENIX ATC, 2021)

QGTC: Accelerating Quantized GNN via GPU Tensor Core. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (CoRR, 2021)

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. - Anbang Wu; Gushu Li; Yuke Wang; Boyuan Feng; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (CoRR, 2021)

Attacking Point Cloud Segmentation with Color-only Perturbation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (CoRR, 2021)

ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. - Boyuan Feng; Lianke Qin; Zhenfei Zhang; Yufei Ding 001; Shumo Chu (IACR Cryptol. ePrint Arch., 2021)

QGTC: accelerating quantized graph neural networks via GPU tensor core. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (PPoPP, 2022)

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Dheevatsa Mudigere; Bharath Muthiah; Yufei Ding 001 (SC, 2022)

Faith: An Efficient Framework for Transformer Verification on GPUs. - Boyuan Feng; Tianqi Tang 001; Yuke Wang; Zhaodong Chen; Zheng Wang 075; Shu Yang; Yuan Xie 001; Yufei Ding 001 (USENIX ATC, 2022)

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. - Yuke Wang; Boyuan Feng; Gushu Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

System for Efficient Big Data Analytics. - Boyuan Feng (2022)

On Adversarial Robustness of Point Cloud Semantic Segmentation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (DSN, 2023)

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (OSDI, 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)

ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. - Hanjing Jiang; Yabing Huang; Qianpeng Li; Boyuan Feng (BMC Bioinform., 2023)

ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. - Boyuan Feng; Zheng Wang 075; Yuke Wang; Shu Yang; Yufei Ding 001 (ASPLOS (1), 2024)

Predicting Nonalcoholic Fatty Liver Disease in Obese Populations with 3D Body Scans. - Yijiang Zheng; Zhuoxin Long; Ruting Cheng; Boyuan Feng; Khashayar Vaziri; Xiaoke Zhang; James K. Hahn (EMBC, 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)

Flex Attention: A Programming Model for Generating Optimized Attention Kernels. - Juechu Dong; Boyuan Feng; Driss Guessous; Yanbo Liang; Horace He (CoRR, 2024)

Enhanced Body Composition Estimation from 3D Body Scans. - Boyuan Feng; Yijiang Zheng; Ruting Cheng; Shuya Feng; Khashayar Vaziri; James K. Hahn (BIOSTEC (1), 2025)

Accelerating neural network training: An analysis of the AlgoPerf competition. - Priya Kasimbeg; Frank Schneider 001; Runa Eschenhagen; Juhan Bae; Chandramouli Shama Sastry; Mark Saroufim; Boyuan Feng; Less Wright; Edward Z. Yang; Zachary Nado; Sourabh Medapati; Philipp Hennig; et al. (ICLR, 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)

Effect of Cognitive Distractors on Neonatal Endotracheal Intubation Performance: Insights from a Dual-Task Simulator. - Yan Meng; Shang Zhao 001; Xiaoke Zhang; John Philbeck; Prachi Mahableshwarkar; Boyuan Feng; Lamia Soghier; James K. Hahn (Virtual Worlds, 2025)

D3BT: Dynamic 3D Body Transformer for Body Fat Percentage Assessment. - Yijiang Zheng; Zhuoxin Long; Boyuan Feng; Ruting Cheng; Khashayar Vaziri; James K. Hahn (IEEE J. Biomed. Health Informatics, 2025)

Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans. - Ruting Cheng; Yijiang Zheng; Boyuan Feng; Chuhui Qiu; Zhuoxin Long; Joaquin A. Calderon; Xiaoke Zhang; Jaclyn M. Phillips; James K. Hahn (CoRR, 2025)