Boyuan Feng - RankMe

59 papers A* 4A 5B 5C 1Misc 2Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Maternal and fetal health status assessment by using machine learning on optical 3D body scans. Medical Biol. Eng. Comput. Ruting Cheng, Yijiang Zheng, Boyuan Feng, Chuhui Qiu, Zhuoxin Long, Joaquin A. Calderon, Xiaoke Zhang, Jaclyn M. Phillips, James K. Hahn
2026	J	`jnl`	Voxel-based Deep Regression for Enhanced Body Composition Estimation from 3D Body Scans. SN Comput. Sci. Boyuan Feng, Ruting Cheng, Yijiang Zheng, Shuya Feng, Ningshuo Bai, Khashayar Vaziri, James K. Hahn
2025	J	`jnl`	Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition. CoRR Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl
2025	A*	`conf`	Accelerating neural network training: An analysis of the AlgoPerf competition. ICLR Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl
2025	J	`jnl`	D3BT: Dynamic 3D Body Transformer for Body Fat Percentage Assessment. IEEE J. Biomed. Health Informatics Yijiang Zheng, Zhuoxin Long, Boyuan Feng, Ruting Cheng, Khashayar Vaziri, James K. Hahn
2025	J	`jnl`	Effect of Cognitive Distractors on Neonatal Endotracheal Intubation Performance: Insights from a Dual-Task Simulator. Virtual Worlds Yan Meng, Shang Zhao, Xiaoke Zhang, John Philbeck, Prachi Mahableshwarkar, Boyuan Feng, Lamia Soghier, James K. Hahn
2025	—	`conf`	Enhanced Body Composition Estimation from 3D Body Scans. BIOSTEC (1) Boyuan Feng, Yijiang Zheng, Ruting Cheng, Shuya Feng, Khashayar Vaziri, James K. Hahn
2025	—	`conf`	FlexAttention: A Programming Model for Generating Fused Attention Variants. MLSys Juechu Dong, Boyuan Feng, Driss Guessous, Yanbo Liang, Horace He
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	J	`jnl`	Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans. CoRR Ruting Cheng, Yijiang Zheng, Boyuan Feng, Chuhui Qiu, Zhuoxin Long, Joaquin A. Calderon, Xiaoke Zhang, Jaclyn M. Phillips, James K. Hahn
2025	J	`jnl`	MvBody: Multi-View-Based Hybrid Transformer Using Optical 3D Body Scan for Explainable Cesarean Section Prediction. CoRR Ruting Cheng, Boyuan Feng, Yijiang Zheng, Chuhui Qiu, Aizierjiang Aiersilan, Joaquin A. Calderon, Wentao Zhao, Qing Pan, James K. Hahn
2024	J	`jnl`	Flex Attention: A Programming Model for Generating Optimized Attention Kernels. CoRR Juechu Dong, Boyuan Feng, Driss Guessous, Yanbo Liang, Horace He
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
2024	—	`conf`	Predicting Nonalcoholic Fatty Liver Disease in Obese Populations with 3D Body Scans. EMBC Yijiang Zheng, Zhuoxin Long, Ruting Cheng, Boyuan Feng, Khashayar Vaziri, Xiaoke Zhang, James K. Hahn
2024	—	`conf`	ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding
2023	A*	`conf`	MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023	A	`conf`	On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
2023	J	`jnl`	ScLSTM: single-cell type detection by siamese recurrent network and hierarchical clustering. BMC Bioinform. Hanjing Jiang, Yabing Huang, Qianpeng Li, Boyuan Feng
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	A	`conf`	EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. SC Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding
2022	J	`jnl`	Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022	—	`conf`	Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX ATC Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
2022	B	`conf`	QGTC: accelerating quantized graph neural networks via GPU tensor core. PPoPP Yuke Wang, Boyuan Feng, Yufei Ding
2022	J	`jnl`	STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
2022	—	`—`	System for Efficient Big Data Analytics. Boyuan Feng
2021	J	`jnl`	APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	A	`conf`	APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	A	`conf`	An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. CIKM Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
2021	J	`jnl`	Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
2021	A	`conf`	DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. IPDPS Yuke Wang, Boyuan Feng, Yufei Ding
2021	J	`jnl`	DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	B	`conf`	EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
2021	A*	`conf`	GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2021	—	`conf`	Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX ATC Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding
2021	J	`jnl`	QGTC: Accelerating Quantized GNN via GPU Tensor Core. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	Misc	`conf`	Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP Boyuan Feng, Yuke Wang, Yufei Ding
2021	J	`jnl`	TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	B	`conf`	TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding
2021	J	`jnl`	Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. CoRR Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie
2021	A*	`conf`	UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. AAAI Boyuan Feng, Yuke Wang, Yufei Ding
2021	J	`jnl`	ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu
2020	C	`conf`	A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. NPC Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding
2020	J	`jnl`	Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinform. Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding
2020	J	`jnl`	GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2020	J	`jnl`	Optimizing Convolutional Neural Network Architecture via Information Field. CoRR Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
2020	B	`conf`	SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. ICTAI Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
2020	J	`jnl`	SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. CoRR Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
2020	J	`jnl`	Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. CoRR Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding
2020	J	`jnl`	Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding
2019	J	`jnl`	AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
2019	Misc	`conf`	KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
2019	J	`jnl`	KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
2019	B	`conf`	Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ICTAI Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie
2018	J	`jnl`	Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. CoRR Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding
2018	J	`jnl`	Penetrating the Fog: the Path to Efficient CNN Models. CoRR Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding
2018	J	`jnl`	Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. CoRR Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding
2018	J	`jnl`	SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. CoRR Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding