LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism. - Tong Geng; Tianqi Wang; Chunshu Wu; Chen Yang 010; Shuaiwen Leon Song; Ang Li 006; Martin C. Herbordt (ASAP, 2019)

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 010; Wei Wu 016; Ang Li 006; Martin C. Herbordt (ICS, 2019)

Fully integrated FPGA molecular dynamics simulations. - Chen Yang 010; Tong Geng; Tianqi Wang; Rushi Patel; Qingqing Xiong; Ahmed Sanaullah; Chunshu Wu; Jiayi Sheng; Charles Lin; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (SC, 2019)

UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. - Tong Geng; Ang Li 006; Tianqi Wang; Chunshu Wu; Yanfei Li; Antonino Tumeo; Martin C. Herbordt (CoRR, 2019)

CQNN: a CGRA-based QNN Framework. - Tong Geng; Chunshu Wu; Cheng Tan 002; Bo Fang 002; Ang Li 006; Martin C. Herbordt (HPEC, 2020)

A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics. - Chunshu Wu; Tong Geng; Chen Yang 010; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (HPEC, 2020)

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. - Tong Geng; Ang Li 006; Runbin Shi; Chunshu Wu; Tianqi Wang; Yanfei Li; Pouya Haghi; Antonino Tumeo; Shuai Che; Steven K. Reinhardt; Martin C. Herbordt (MICRO, 2020)

Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors. - Chunshu Wu; Tong Geng; Sahan Bandara; Chen Yang 010; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (FCCM, 2021)

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. - Tong Geng; Chunshu Wu; Cheng Tan 002; Chenhao Xie 001; Anqi Guo; Pouya Haghi; Sarah Yuan He; Jiajia Li 001; Martin C. Herbordt; Ang Li 006 (HPEC, 2021)

System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations. - Chunshu Wu; Sahan Bandara; Tong Geng; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (HPEC, 2021)

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. - Tong Geng; Chunshu Wu; Yongan Zhang; Cheng Tan 002; Chenhao Xie 001; Haoran You; Martin C. Herbordt; Yingyan Lin; Ang Li 006 (MICRO, 2021)

O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. - Tong Geng; Ang Li 006; Tianqi Wang; Chunshu Wu; Yanfei Li; Runbin Shi; Wei Wu 016; Martin C. Herbordt (IEEE Trans. Parallel Distributed Syst., 2021)

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FCCM, 2022)

A Framework for Neural Network Inference on FPGA-Centric SmartNICs. - Anqi Guo; Tong Geng; Yongan Zhang; Pouya Haghi; Chunshu Wu; Cheng Tan 002; Yingyan Lin; Ang Li 006; Martin C. Herbordt (FPL, 2022)

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 (FPL, 2022)

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 006; Martin C. Herbordt; Tong Geng (ICS, 2023)

FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. - Pouya Haghi; William Krska; Cheng Tan 002; Tong Geng; Po Hao Chen 002; Connor Greenwood; Anqi Guo; Thomas M. Hines; Chunshu Wu; Ang Li 006; Anthony Skjellum; Martin C. Herbordt (ICS, 2023)

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 001; Ang Li 006; Martin C. Herbordt (SC, 2023)

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yunan Yang; Ang Li 006; Michael C. Huang 001; Tong Geng (ICLR, 2024)

SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. - Pouya Haghi; Cheng Tan 002; Anqi Guo; Chunshu Wu; Dongfang Liu; Ang Li 006; Anthony Skjellum; Tong Geng; Martin C. Herbordt (ICS, 2024)

DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. - Ruibing Song; Chunshu Wu; Chuan Liu 001; Ang Li 006; Michael C. Huang 001; Tong Geng (ISCA, 2024)

NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Yuqing Wang; Yousu Chen; Ang Li 006; Dongfang Liu; Ying Nian Wu; Michael Huang; Tong Geng (LoG, 2024)

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 006; Tony Tong Geng (MICRO, 2024)

Visual Fourier Prompt Tuning. - Runjia Zeng; Cheng Han 001; Qifan Wang 001; Chunshu Wu; Tong Geng; Lifu Huang; Ying Nian Wu; Dongfang Liu (NeurIPS, 2024)

Inertial Confinement Fusion Forecasting via LLMs. - Mingkai Chen; Taowen Wang; James Chenhao Liang; Chuan Liu 001; Chunshu Wu; Qifan Wang 001; Ying Nian Wu; Michael Huang; Chuang Ren; Ang Li 006; Tong Geng; Dongfang Liu (CoRR, 2024)

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Dongfang Liu; Ying Nian Wu; Tong Geng (CoRR, 2024)

FPGA-Accelerated Range-Limited Molecular Dynamics. - Chunshu Wu; Chen Yang 010; Sahan Bandara; Tong Geng; Anqi Guo; Pouya Haghi; Ang Li 006; Martin C. Herbordt (IEEE Trans. Computers, 2024)

Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning. - Chuan Liu 001; Chunshu Wu; Ruibing Song; Yousu Chen; Ang Li 006; Michael C. Huang 001; Tony Tong Geng (ASP-DAC, 2025)

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. - Chuan Liu 001; Ruibing Song; Chunshu Wu; Pouya Haghi; Tong Geng (ICLR, 2025)

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Ying Nian Wu; Dongfang Liu; Tong Geng (ICLR, 2025)

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. - Ruibing Song; Chuan Liu 001; Chunshu Wu; Ang Li 006; Dongfang Liu; Ying Nian Wu; Tong Geng (ICLR, 2025)

DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction. - Chunshu Wu; Ruibing Song; Chuan Liu 001; Pouya Haghi; Ang Li 006; Michael Huang; Tony Tong Geng (ISCA, 2025)