Hongwu Peng - RankMe

60 papers A* 9A 6C 2Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-Head Low-Rank Attention. CoRR Songtao Liu, Hongwu Peng, Zhiwei Zhang, Zhengyu Chen, Yue Guo
2026	J	`jnl`	Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. CoRR Can Jin, Rui Wu, Tong Che, Qixin Zhang, Hongwu Peng, Jiahui Zhao, Zhenting Wang, Wenqi Wei, Ligong Han, Zhao Zhang, Yuan Cao, Ruixiang Tang, Dimitris N. Metaxas
2025	—	`conf`	APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. WWW (Companion Volume) Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
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`	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	A	`conf`	Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. ICS Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding
2025	—	`conf`	LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models. MLCAD Kiran Thorat, Jiahui Zhao, Yaotian Liu, Amit Hasan, Hongwu Peng, Xi Xie, Bin Lei, Caiwen Ding
2025	J	`jnl`	LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models. CoRR Kiran Thorat, Jiahui Zhao, Yaotian Liu, Amit Hasan, Hongwu Peng, Xi Xie, Bin Lei, Caiwen Ding
2025	A*	`conf`	RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs. ICLR Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding
2025	—	`conf`	RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. WWW (Companion Volume) Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas
2025	J	`jnl`	RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. CoRR Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas
2025	J	`jnl`	Sparsity-Controllable Dynamic Top-p MoE for Large Foundation Model Pre-training. CoRR Can Jin, Hongwu Peng, Mingcan Xiang, Qixin Zhang, Xiangchi Yuan, Amit Hasan, Ohiremen Dibua, Yifan Gong, Yan Kang, Dimitris N. Metaxas
2025	J	`jnl`	Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning. CoRR Can Jin, Hongwu Peng, Qixin Zhang, Yujin Tang, Dimitris N. Metaxas, Tong Che
2025	J	`jnl`	Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. CoRR Can Jin, Yang Zhou, Qixin Zhang, Hongwu Peng, Di Zhang, Marco Pavone, Ligong Han, Zhang-Wei Hong, Tong Che, Dimitris N. Metaxas
2024	J	`jnl`	APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas
2024	—	`conf`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2024	A*	`conf`	Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. NeurIPS Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone
2024	J	`jnl`	Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone
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	A*	`conf`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. ICML Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	J	`jnl`	Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. CoRR Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
2024	J	`jnl`	SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. CoRR Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu
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`	AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
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	J	`jnl`	Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis. CoRR Kiran Thorat, Jiahui Zhao, Yaotian Liu, Hongwu Peng, Xi Xie, Bin Lei, Jeff Zhang, 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	J	`jnl`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
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`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	J	`jnl`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, 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
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	J	`jnl`	Aerial Manipulation Using a Novel Unmanned Aerial Vehicle Cyber-Physical System. CoRR Caiwu Ding, Hongwu Peng, Lu Lu, 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	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	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`	Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	J	`jnl`	Binary Complex Neural Network Acceleration on FPGA. CoRR Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	J	`jnl`	Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
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	—	`conf`	Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. ISQED Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang
2021	J	`jnl`	Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. CoRR Geng Yuan, Zhiheng Liao, Xiaolong Ma, Yuxuan Cai, Zhenglun Kong, Xuan Shen, Jingyan Fu, Zhengang Li, Chengming Zhang, Hongwu Peng, Ning Liu, Ao Ren, Jinhui Wang, Yanzhi Wang
2021	A	`conf`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021	J	`jnl`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding