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Peng, Hongwu

  1. Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
    2024/01/19 by Tianle Cai, Yuhong Li, Cai, Tianle +11 · 137 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  2. Towards Sparsification of Graph Neural Networks
    2022/09/11 by Peng, Hongwu, Gurevin, Deniz, Huang, Shaoyi +4 · 3 citations
    #C.4 #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG)
  3. Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning
    2025/04/14 by Can Jin, Jin, Can, Hongwu Peng +9 · 10 citations
    Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
  4. APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
    2024/06/20 by Can Jin, Hongwu Peng, Jin, Can +17 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Software System Performance and Reliability #Topic Modeling
  5. Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis
    2023/12/02 by Kiran Thorat, Jiahui Zhao, Thorat, Kiran +13 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Software Engineering Research
  6. AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
    2023/08/20 by Hongwu Peng, Peng, Hongwu, Shaoyi Huang +25 · 2 citations
    Computer Science · #B.0 #Cryptography and Data Security #Cryptography and Security (cs.CR) #E.3 #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  7. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
    2023/09/25 by Hongwu Peng, Peng, Hongwu, Ran Ran +19 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #B.0 #Cryptography and Data Security #Cryptography and Security (cs.CR) #E.3 #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  8. Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs
    2023/11/08 by Peng, Hongwu, Ding, Caiwen, Geng, Tong +3 · 2 citations
    #C.4 #Distributed #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
  9. Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
    2024/02/05 by Can Jin, Tong Che, Jin, Can +7 · 3 citations
    Mathematics · Engineering · #Mathematics Education and Programs #Engineering Education and Pedagogy
  10. An Automatic and Efficient BERT Pruning for Edge AI Systems
    2022/06/21 by Shaoyi Huang, Huang, Shaoyi, Ning Liu +13 · 1 citation
    Computer Science · #Topic Modeling #Machine Learning and Data Classification #Advanced Neural Network Applications
  11. Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off
    2022/11/30 by Huang, Shaoyi, Lei, Bowen, Xu, Dongkuan +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
    2023/12/14 by Peng, Hongwu, Xie, Xi, Shivdikar, Kaustubh +6 · 1 citation
    #Artificial Intelligence (cs.AI) #C.5 #Distributed #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  13. Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM
    2024/01/22 by Bingbing Li, Li, Bingbing, Geng Yuan +15 · 1 citation
    Engineering · Computer Science · #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing #Advanced Neural Network Applications
  14. RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs
    2024/09/01 by Xi Xie, Xie, Xi, Luo, Yuebo +4 · 1 citation
    Neuroscience · #Brain Tumor Detection and Classification #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
  15. Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS
    2025/08/19 by Jin, Can, Zhou, Yang, Zhang, Qixin +7 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
    2025/09/10 by Kiran Thorat, Jiahui Zhao, Thorat, Kiran +13 · 1 citation
    Computer Science · Engineering · #Big Data and Digital Economy #Embedded Systems Design Techniques #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Low-power high-performance VLSI design #Machine Learning (cs.LG)
  17. RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
    2025/02/02 by Jin, Can, Peng, Hongwu, Zhang, Anxiang +8 · 1 citation
    #FOS: Computer and information sciences #Information Retrieval (cs.IR)