Shaoyi Huang - RankMe

53 papers A* 7A 6B 1C 2Journal 30Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Effective MoE-based LLM Compression by Exploiting Heterogeneous Inter-Group Experts Routing Frequency and Information Density. CoRR Zhendong Mi, Yixiao Chen, Pu Zhao, Xiaodong Yu, Hao Wang, Yanzhi Wang, Shaoyi Huang
2026	J	`jnl`	GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph. CoRR Yuebo Luo, Shiyang Li, Yifei Feng, Vishal Kancharla, Shaoyi Huang, Caiwen Ding
2026	J	`jnl`	Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing. CoRR Daniel Stein, Shaoyi Huang, Rolf Drechsler, Bing Li, Grace Li Zhang
2026	J	`jnl`	Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models. CoRR Ci Zhang, Zhaojun Ding, Chence Yang, Jun Liu, Xiaoming Zhai, Shaoyi Huang, Beiwen Li, Xiaolong Ma, Jin Lu, Geng Yuan
2025	J	`jnl`	ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning. CoRR Zhendong Mi, Zhenglun Kong, Geng Yuan, Shaoyi Huang
2025	A	`conf`	DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. ICS Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang
2025	J	`jnl`	DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. CoRR Yuebo Luo, Shiyang Li, Junran Tao, Kiran Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang
2025	A	`conf`	Efficient Context Propagating Perceiver Architectures for Auto-Regressive Language Modeling. ECAI Kaleel Mahmood, Shaoyi Huang
2025	J	`jnl`	End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost. CoRR Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan
2025	A	`conf`	GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis. ICCAD Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding
2025	J	`jnl`	GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis. CoRR Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding
2025	J	`jnl`	KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning. CoRR Zhendong Mi, Qitao Tan, Xiaodong Yu, Zining Zhu, Geng Yuan, Shaoyi Huang
2025	J	`jnl`	Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration. CoRR Jiaxun Fang, Grace Li Zhang, Shaoyi Huang
2025	J	`jnl`	Layer-wise dynamic rank for compressing large language models. CoRR Zhendong Mi, Bian Sun, Grace Li Zhang, Shaoyi Huang
2025	J	`jnl`	PEL-NAS: Search Space Partitioned Architecture Prompt Co-Evolutionary LLM-driven Hardware-Aware Neural Architecture Search. CoRR Hengyi Zhu, Grace Li Zhang, Shaoyi Huang
2025	J	`jnl`	Rethinking the Potential of Layer Freezing for Efficient DNN Training. CoRR Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan
2025	J	`jnl`	Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations. CoRR Zhendong Mi, Qitao Tan, Grace Li Zhang, Zhaozhuo Xu, Geng Yuan, Shaoyi Huang
2024	J	`jnl`	Enhanced Computationally Efficient Long LoRA Inspired Perceiver Architectures for Auto-Regressive Language Modeling. CoRR Kaleel Mahmood, Shaoyi Huang
2024	—	`conf`	MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. ASPLOS (2) Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
2024	J	`jnl`	PromptV: Leveraging LLM-powered Multi-Agent Prompting for High-quality Verilog Generation. CoRR Zhendong Mi, Renming Zheng, Haowen Zhong, Yue Sun, Shaoyi Huang
2024	A*	`conf`	PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration. HPCA Deniz Gurevin, Mohsin Shan, Shaoyi Huang, Md Amit Hasan, Caiwen Ding, Omer Khan
2024	J	`jnl`	Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. CoRR Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding
2023	A	`conf`	Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. ICCAD Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
2023	J	`jnl`	Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. CoRR Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
2023	A*	`conf`	AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	J	`jnl`	AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	A*	`conf`	Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. DAC Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding
2023	A*	`conf`	LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training. CoRR Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding
2023	A*	`conf`	Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. DAC Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. CoRR Shaoyi Huang, Haowen Fang, Kaleel Mahmood, Bowen Lei, Nuo Xu, Bin Lei, Yue Sun, Dongkuan Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	A*	`conf`	Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models. IJCAI Bingbing Li, Zigeng Wang, Shaoyi Huang, Mikhail A. Bragin, Ji Li, Caiwen Ding
2022	J	`jnl`	A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A*	`conf`	A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	—	`conf`	An Automatic and Efficient BERT Pruning for Edge AI Systems. ISQED Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding
2022	J	`jnl`	An Automatic and Efficient BERT Pruning for Edge AI Systems. CoRR Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding
2022	B	`conf`	Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. IEEE Big Data Yijue Wang, Nuo Xu, Shaoyi Huang, Kaleel Mahmood, Dan Guo, Caiwen Ding, Wujie Wen, Sanguthevar Rajasekaran
2022	C	`conf`	CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. ICCD YiXuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng
2022	J	`jnl`	Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. CoRR Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding
2022	J	`jnl`	Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach. CoRR Bin Lei, Shaoyi Huang, Caiwen Ding, Monika Filipovska
2022	—	`conf`	Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding
2022	C	`conf`	Towards Sparsification of Graph Neural Networks. ICCD Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022	J	`jnl`	Towards Sparsification of Graph Neural Networks. CoRR Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2021	A	`conf`	Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. ICCAD Panjie Qi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hongwu Peng, Shaoyi Huang, Zhenglun Kong, Yuhong Song, Bingbing Li
2021	J	`jnl`	Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. CoRR Panjie Qi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hongwu Peng, Shaoyi Huang, Zhenglun Kong, Yuhong Song, Bingbing Li
2021	—	`conf`	Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
2021	—	`conf`	Accommodating Transformer onto FPGA: Coupling the Balanced Model Compression and FPGA-Implementation Optimization. ACM Great Lakes Symposium on VLSI Panjie Qi, Yuhong Song, Hongwu Peng, Shaoyi Huang, Qingfeng Zhuge, Edwin Hsing-Mean Sha
2021	—	`conf`	Co-Exploration of Graph Neural Network and Network-on-Chip Design Using AutoML. ACM Great Lakes Symposium on VLSI Daniel Manu, Shaoyi Huang, Caiwen Ding, Lei Yang
2021	A	`conf`	E.T.: re-thinking self-attention for transformer models on GPUs. SC Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu
2021	—	`conf`	HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding
2021	J	`jnl`	Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding