MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture. - Tong Geng; Luc Waeijen; Maurice Peemen; Henk Corporaal; Yifan He 002 (DSD, 2016)

A configurable SIMD architecture with explicit datapath for intelligent learning. - Yifan He 002; Maurice Peemen; Luc Waeijen; Erkan Diken; Mattia Fiumara; Gerard K. Rauwerda; Henk Corporaal; Tong Geng (SAMOS, 2016)

FPDeep: Acceleration and Load Balancing of CNN Training on FPGA Clusters. - Tong Geng; Tianqi Wang; Ahmed Sanaullah; Chen Yang 010; Rui Xu; Rushi Patel; Martin C. Herbordt (FCCM, 2018)

A Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Work and Weight Load Balancing. - Tong Geng; Tianqi Wang; Ahmed Sanaullah; Chen Yang 010; Rushi Patel; Martin C. Herbordt (FPL, 2018)

An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures. - Tong Geng; Erkan Diken; Tianqi Wang; Lech Józwiak; Martin C. Herbordt (HPEC, 2018)

Soft-Core. Multiple-Lane, FPGA-based ADCs for a Liquid Helium Environment. - Zikun Xiang; Tianqi Wang; Tong Geng; Tian Xiang; Xi Jin 002; Martin C. Herbordt (HPEC, 2018)

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)

Accelerating AP3M-Based Computational Astrophysics Simulations with Reconfigurable Clusters. - Tianqi Wang; Tong Geng; Xi Jin 002; Martin C. Herbordt (ASAP, 2019)

Molecular Dynamics Range-Limited Force Evaluation Optimized for FPGAs. - Chen Yang 010; Tong Geng; Tianqi Wang; Charles Lin; Jiayi Sheng; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (ASAP, 2019)

FP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications. - Tianqi Wang; Tong Geng; Xi Jin 002; Martin C. Herbordt (FCCM, 2019)

GhostSZ: A Transparent FPGA-Accelerated Lossy Compression Framework. - Qingqing Xiong; Rushi Patel; Chen Yang 010; Tong Geng; Anthony Skjellum; Martin C. Herbordt (FCCM, 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)

BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. - Ang Li 006; Tong Geng; Tianqi Wang; Martin C. Herbordt; Shuaiwen Leon Song; Kevin J. Barker (SC, 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)

A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing. - Tong Geng; Tianqi Wang; Ang Li 006; Xi Jin 002; Martin C. Herbordt (CoRR, 2019)

Fully Integrated On-FPGA Molecular Dynamics Simulations. - Chen Yang 010; Tong Geng; Tianqi Wang; Rushi Patel; Qingqing Xiong; Ahmed Sanaullah; Jiayi Sheng; Charles Lin; Vipin Sachdeva; Woody Sherman; Martin C. Herbordt (CoRR, 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)

Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. - Tong Geng; Xiliang Lin; Harikesh S. Nair (AAAI, 2020)

FP-AMG: FPGA-Based Acceleration Framework for Algebraic Multigrid Solvers. - Pouya Haghi; Tong Geng; Anqi Guo; Tianqi Wang; Martin C. Herbordt (FCCM, 2020)

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

FPGAs in the Network and Novel Communicator Support Accelerate MPI Collectives. - Pouya Haghi; Anqi Guo; Qingqing Xiong; Rushi Patel; Chen Yang 010; Tong Geng; Justin T. Broaddus; Ryan J. Marshall; Anthony Skjellum; 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)

A Reconfigurable Compute-in-the-Network FPGA Assistant for High-Level Collective Support with Distributed Matrix Multiply Case Study. - Pouya Haghi; Anqi Guo; Tong Geng; Justin T. Broaddus; Derek Schafer; Anthony Skjellum; Martin C. Herbordt (FPT, 2020)

CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. - Runbin Shi; Peiyan Dong; Tong Geng; Yuhao Ding; Xiaolong Ma; Hayden Kwok-Hay So; Martin C. Herbordt; Ang Li 006; Yanzhi Wang (ICS, 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)

Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method. - Feng Xiao; Fei Li; Shengkai Zhang; Jiaxing Li; Tong Geng; Yue Xuan (Sensors, 2020)

FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters. - Tianqi Wang; Tong Geng; Ang Li 006; Xi Jin 002; Martin C. Herbordt (IEEE Trans. Computers, 2020)

Comparison Lift: Bandit-based Experimentation System for Online Advertising. - Tong Geng; Xiliang Lin; Harikesh S. Nair; Jun Hao; Bin Xiang; Shurui Fan (AAAI, 2021)

OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. - Cheng Tan 002; Nicolas Bohm Agostini; Jeff Zhang 001; Marco Minutoli; Vito Giovanni Castellana; Chenhao Xie 001; Tong Geng; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ASAP, 2021)

Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). - Hongwu Peng; Shanglin Zhou; Scott Weitze; Jiaxin Li; Sahidul Islam; Tong Geng; Ang Li 006; Wei Zhang; Minghu Song; Mimi Xie; Hang Liu 001; Caiwen Ding (ASAP, 2021)

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)

Workload Imbalance in HPC Applications: Effect on Performance of In-Network Processing. - Pouya Haghi; Anqi Guo; Tong Geng; Anthony Skjellum; Martin C. Herbordt (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)

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. - Daniel Manu; Yi Sheng; Junhuan Yang; Jieren Deng; Tong Geng; Ang Li 006; Caiwen Ding; Weiwen Jiang; Lei Yang 018 (ICCAD, 2021)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (ICCAD, 2021)

G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. - Yongan Zhang; Haoran You; Yonggan Fu; Tong Geng; Ang Li 006; Yingyan Lin (ICCAD, 2021)

DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. - Cheng Tan 002; Tong Geng; Chenhao Xie 001; Nicolas Bohm Agostini; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (ICCD, 2021)

Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. - Hongwu Peng; Shaoyi Huang; Tong Geng; Ang Li 006; Weiwen Jiang; Hang Liu 001; Shusen Wang; Caiwen Ding (ISQED, 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)

APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. - Boyuan Feng; Yuke Wang; Tong Geng; Ang Li 006; Yufei Ding 001 (SC, 2021)

CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (CoRR, 2021)

Binary Complex Neural Network Acceleration on FPGA. - Hongwu Peng; Shanglin Zhou; Scott Weitze; Jiaxin Li; Sahidul Islam; Tong Geng; Ang Li 006; Wei Zhang; Minghu Song; Mimi Xie; Hang Liu 001; Caiwen Ding (CoRR, 2021)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (CoRR, 2021)

DEM Generation with ICESat-2 Altimetry Data for the Three Antarctic Ice Shelves: Ross, Filchner-Ronne and Amery. - Tong Geng; Shengkai Zhang; Feng Xiao; Jiaxing Li; Yue Xuan; Xiao Li; Fei Li (Remote. Sens., 2021)

Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data. - Shengkai Zhang; Yue Xuan; Jiaxing Li; Tong Geng; Xiao Li; Feng Xiao (Remote. Sens., 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)

ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. - Cheng Tan 002; Chenhao Xie 001; Tong Geng; Andres Marquez 001; Antonino Tumeo; Kevin J. Barker; Ang Li 006 (IEEE Trans. Parallel Distributed Syst., 2021)

FPGA-based high-performance neural network acceleration - Tong Geng (2021)

BCNN: Binary complex neural network. - Yanfei Li; Tong Geng; Ang Li 006; Huimin Yu (Microprocess. Microsystems, 2021)

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. - Hongwu Peng; Shaoyi Huang; Shiyang Chen 004; Bingbing Li; Tong Geng; Ang Li 006; Weiwen Jiang; Wujie Wen; Jinbo Bi; Hang Liu 001; Caiwen Ding (DAC, 2022)

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)

H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. - Chengming Zhang 006; Tong Geng; Anqi Guo; Jiannan Tian; Martin C. Herbordt; Ang Li 006; Dingwen Tao (FPL, 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)

DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. - Cheng Tan 002; Nicolas Bohm Agostini; Tong Geng; Chenhao Xie 001; Jiajia Li 001; Ang Li 006; Kevin J. Barker; Antonino Tumeo (HPCA, 2022)

GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. - Haoran You; Tong Geng; Yongan Zhang; Ang Li 006; Yingyan Lin (HPCA, 2022)

The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications. - Po Hao Chen 002; Pouya Haghi; Jae Yoon Chung; Tong Geng; Richard West; Anthony Skjellum; Martin C. Herbordt (HPEC, 2022)

Towards Real-Time Temporal Graph Learning. - Deniz Gurevin; Mohsin Shan; Tong Geng; Weiwen Jiang; Caiwen Ding; Omer Khan (ICCD, 2022)

On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. - Zhirui Hu; Jinyang Li 001; Zhenyu Pan; Shanglin Zhou; Lei Yang 018; Caiwen Ding; Omer Khan; Tong Geng; Weiwen Jiang (ICCD, 2022)

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 (ICCD, 2022)

Towards Sparsification of Graph Neural Networks. - Hongwu Peng; Deniz Gurevin; Shaoyi Huang; Tong Geng; Weiwen Jiang; Omer Khan; Caiwen Ding (ICCD, 2022)

CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (ICS, 2022)

ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. - Cheng Tan 002; Thierry Tambe; Jeff Jun Zhang; Bo Fang 002; Tong Geng; Gu-Yeon Wei; David Brooks 001; Antonino Tumeo; Ganesh Gopalakrishnan; Ang Li 006 (ICS, 2022)

Reconfigurable switches for high performance and flexible MPI collectives. - Pouya Haghi; Anqi Guo; Qingqing Xiong; Chen Yang 010; Tong Geng; Justin T. Broaddus; Ryan J. Marshall; Derek Schafer; Anthony Skjellum; Martin C. Herbordt (Concurr. Comput. Pract. Exp., 2022)

Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors. - Wei Sun; Ang Li 006; Tong Geng; Sander Stuijk; Henk Corporaal (CoRR, 2022)

GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm. - Yanfei Li; Tong Geng; Samuel Alexander Stein; Ang Li 006; Huimin Yu (CoRR, 2022)

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

An improved algorithm for extracting crossovers of satellite ground tracks. - Xiao Li; Shengkai Zhang; Tong Geng; Jiaxing Li; Benxin Zhu; Laixing Liu; Feng Xiao (Comput. Geosci., 2022)

Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge. - Shengkai Zhang; Tong Geng; Chaohui Zhu; Jiaxing Li; Xiao Li; Benxin Zhu; Laixing Liu; Feng Xiao (IEEE Trans. Geosci. Remote. Sens., 2022)

Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. - Zhenyu Pan; Anshujit Sharma; Jerry Yao-Chieh Hu; Zhuo Liu; Ang Li 006; Han Liu 001; Michael C. Huang 001; Tong Geng (AAAI, 2023)

TransFlow: Transformer as Flow Learner. - Yawen Lu; Qifan Wang 001; Siqi Ma; Tong Geng; Yingjie Victor Chen; Huaijin G. Chen; Dongfang Liu (CVPR, 2023)

Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. - Zhuo Liu; Yunan Yang; Zhenyu Pan; Anshujit Sharma; Amit Hasan 001; Caiwen Ding; Ang Li 006; Michael C. Huang 001; Tong Geng (DAC, 2023)

ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. - Yixuan Luo; Cheng Tan 002; Nicolas Bohm Agostini; Ang Li 006; Antonino Tumeo; Nirav Dave; Tong Geng (DAC, 2023)

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 001; Caiwen Ding (DAC, 2023)

Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. - Xi Xie; Hongwu Peng; Amit Hasan 001; Shaoyi Huang; Jiahui Zhao; Haowen Fang; Wei Zhang; Tong Geng; Omer Khan; Caiwen Ding (ICCAD, 2023)

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)

Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. - Uday Kumar Reddy Vengalam; Yongchao Liu; Tong Geng; Hui Wu 007; Michael C. Huang 001 (MICRO, 2023)

ClusterFomer: Clustering As A Universal Visual Learner. - James Liang; Yiming Cui 002; Qifan Wang 001; Tong Geng; Wenguan Wang; Dongfang Liu (NeurIPS, 2023)

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. - Hongwu Peng; Ran Ran; Yukui Luo; Jiahui Zhao; Shaoyi Huang; Kiran Thorat; Tong Geng; Chenghong Wang; Xiaolin Xu 001; Wujie Wen; Caiwen Ding (NeurIPS, 2023)

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (OSDI, 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)

RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. - Hongwu Peng; Shanglin Zhou; Yukui Luo; Nuo Xu; Shijin Duan; Ran Ran; Jiahui Zhao; Shaoyi Huang; Xi Xie; Chenghong Wang; Tong Geng; Wujie Wen; et al. (CoRR, 2023)

Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation. - Xiaodong Zhao; YiXuan Luo; Juejing Liu; Wenjun Liu; Kevin M. Rosso; Xiaofeng Guo; Tong Geng; Ang Li 006; Xin Zhang (CoRR, 2023)

ClusterFormer: Clustering As A Universal Visual Learner. - James Chenhao Liang; Yiming Cui 002; Qifan Wang 001; Tong Geng; Wenguan Wang; Dongfang Liu (CoRR, 2023)

Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors. - Wei Sun; Ang Li 006; Tong Geng; Sander Stuijk; Henk Corporaal (IEEE Trans. Parallel Distributed Syst., 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)

Prototypical Transformer As Unified Motion Learners. - Cheng Han 001; Yawen Lu; Guohao Sun; James Chenhao Liang; Zhiwen Cao; Qifan Wang 001; Qiang Guan; Sohail A. Dianat; Raghuveer Rao; Tong Geng; Zhiqiang Tao; Dongfang Liu (ICML, 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)

Semi-supervised Crowd Counting Based on Hard Pseudo-labels. - Hanxiao Li; Yonghong Song; Tong Geng (IJCNN, 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)

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 2024)

Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. - Hongwu Peng; Caiwen Ding; Tong Geng; Sutanay Choudhury; Kevin J. Barker; Ang Li 006 (ICPE (Companion), 2024)

A systematic evaluation of computational methods for cell segmentation. - Yuxing Wang; Junhan Zhao; Hongye Xu; Cheng Han 001; Zhiqiang Tao; Dawei Zhou; Tong Geng; Dongfang Liu; Zhicheng Ji (Briefings Bioinform., 2024)

Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids. - Yanfei Li; Juejing Liu; Xiaodong Zhao; Wenjun Liu; Tong Geng; Ang Li 006; Xin Zhang (CoRR, 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)

Accurate and Data-Efficient Micro X-ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids. - Yanfei Li; Juejing Liu; Xiaodong Zhao; Wenjun Liu; Tong Geng; Ang Li 006; Xin Zhang (Adv. Intell. Syst., 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)

Visual Agents as Fast and Slow Thinkers. - Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang 001; Tong Geng; Ying Nian Wu; Yongfeng Zhang; Dongfang Liu (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)

GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Guyue Huang; Tony Tong Geng; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2025)

ACiS: Complex Processing in the Switch Fabric. - Pouya Haghi; Anqi Guo; Tong Geng; Anthony Skjellum; Martin C. Herbordt (CoRR, 2025)

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models. - Huawei Lin 001; Yingjie Lao; Tong Geng; Tan Yu; Weijie Zhao 001 (CoRR, 2025)

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. - Huawei Lin 001; Tong Geng; Zhaozhuo Xu; Weijie Zhao 001 (CoRR, 2025)