Chunshu Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ISCA | DS-ISA: Instruction Set Architecture for Dynamical System Units. | Chunshu Wu, Ruibing Song, Chuan Liu, Tong Geng, Ang Li |
| 2025 | ASPDAC | Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning. | Chuan Liu, Chunshu Wu, Ruibing Song, Yousu Chen, Ang Li, Michael C. Huang, Tony Tong Geng |
| 2025 | DAC | DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning. | Pouya Haghi, Ali Falahati, Zahra Azad, Chunshu Wu, Ruibing Song, Chuan Liu, Ang Li, Tong Geng |
| 2025 | ICLR | InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. | Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng |
| 2025 | ICLR | Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. | Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng |
| 2025 | ICLR | DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. | Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng |
| 2025 | ICML | An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning. | Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng |
| 2025 | ISCA | DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction. | Chunshu Wu, Ruibing Song, Chuan Liu, Pouya Haghi, Ang Li, Michael Huang, Tony Tong Geng |
| 2025 | MICRO | DS-TIDE: Harnessing Dynamical Systems for Efficient Time-Independent Differential Equation Solving. | Chuan Liu, Chunshu Wu, Ruibing Song, Guangyan Sun, Ying Nian Wu, Yousu Chen, Ang Li, Tong Geng |
| 2024 | ICLR | Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. | Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng |
| 2024 | ISCA | DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. | Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng |
| 2024 | ICS | SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. | Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt |
| 2024 | MICRO | Bridging the Gap Between LLMs and LNS with Dynamic Data Format and Architecture Codesign. | Pouya Haghi, Chunshu Wu, Zahra Azad, Yanfei Li, Andrew Gui, Yuchen Hao, Ang Li, Tony Tong Geng |
| 2023 | ICS | Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. | Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng |
| 2023 | ICS | FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. | Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt |
| 2023 | SC | FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. | Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt |
| 2022 | FCCM | FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. | Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt |
| 2022 | FPL | A Framework for Neural Network Inference on FPGA-Centric SmartNICs. | Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt |
| 2022 | FPL | Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs. | Chunshu Wu, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt |
| 2021 | FCCM | Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors. | Chunshu Wu, Tong Geng, Sahan Bandara, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt |
| 2021 | MICRO | I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. | Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li |
| 2020 | MICRO | AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. | Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt |
| 2019 | ICS | O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. | Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin C. Herbordt |
| 2019 | SC | Fully integrated FPGA molecular dynamics simulations. | Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Chunshu Wu, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt |