Hongwu Peng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
11
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety. | 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 | ICCAD | GROOT: Graph Edge Re-growth and Partitioning for the Verification of Large Designs in Logic Synthesis. | Kiran Thorat, Hongwu Peng, Yuebo Luo, Xi Xie, Shaoyi Huang, Amit Hasan, Jiahui Zhao, Yingjie Li, Zhijie Shi, Cunxi Yu, Caiwen Ding |
| 2025 | ICLR | RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs. | Xi Xie, Yuebo Luo, Hongwu Peng, Caiwen Ding |
| 2025 | ICS | Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Hongwu Peng, Xuan Shen, Masoud Zabihi, Xi Xie, Geng Yuan, Yanzhi Wang, Olivia Chen, Caiwen Ding |
| 2025 | ICS | DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs. | Yuebo Luo, Shiyang Li, Junran Tao, Kiran Gautam Thorat, Xi Xie, Hongwu Peng, Nuo Xu, Caiwen Ding, Shaoyi Huang |
| 2025 | WWW | RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. | Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas |
| 2025 | WWW | APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. | Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas |
| 2024 | ASPLOS | MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training. | Hongwu Peng, Xi Xie, Kaustubh Shivdikar, Md Amit Hasan, Jiahui Zhao, Shaoyi Huang, Omer Khan, David R. Kaeli, Caiwen Ding |
| 2024 | ICML | Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. | Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao |
| 2023 | DAC | Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. | Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding |
| 2023 | DAC | PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. | 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 | ICCAD | Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. | Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding |
| 2023 | ICCV | AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. | 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 | MICRO | AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. | Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu |
| 2022 | DAC | A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. | Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding |
| 2022 | ICCD | CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. | Yixuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng |
| 2022 | ICCD | Towards Sparsification of Graph Neural Networks. | Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding |
| 2021 | ICCAD | Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). | 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 | ICCAD | Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. | Panjie Qi, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hongwu Peng, Shaoyi Huang, Zhenglun Kong, Yuhong Song, Bingbing Li |