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Tong Geng

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

59

Venues

18

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

59 indexed papers, newest first.

YearVenueTitleAuthors
2026ISCADS-ISA: Instruction Set Architecture for Dynamical System Units.Chunshu Wu, Ruibing Song, Chuan Liu, Tong Geng, Ang Li
2025DACDM-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
2025EMNLPMEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper.Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025ICLRInstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems.Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng
2025ICLRDiff-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
2025ICLRDS-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
2025ICLRVisual Agents as Fast and Slow Thinkers.Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2025ICMLAn Expressive and Self-Adaptive Dynamical System for Efficient Function Learning.Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng
2025MICRODS-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
2024ICLRExtending 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
2024ICMLPrototypical Transformer As Unified Motion Learners.Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024IJCNNSemi-supervised Crowd Counting Based on Hard Pseudo-labels.Hanxiao Li, Yonghong Song, Tong Geng
2024ISCADS-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
2024ICSSmartFuse: 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
2024SCAccelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression.Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
2023AAAIIsing-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty.Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
2023CVPRTransFlow: Transformer as Flow Learner.Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023DACIsing-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning.Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng
2023DACML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs.Yixuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng
2023DACPASNet: 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
2023ICCADAccel-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
2023ICSSoftware-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
2023ICSFLASH: 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
2023MICROSupporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM.Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
2023OSDIMGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms.Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023SCFASDA: 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
2022DACA 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
2022FCCMFCsN: 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
2022FPLH-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022FPLA 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
2022FPLOptimized 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
2022HPCADRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022HPCAGCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design.Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2022ICCDTowards Real-Time Temporal Graph Learning.Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022ICCDOn the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond.Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
2022ICCDCoDG-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
2022ICCDTowards Sparsification of Graph Neural Networks.Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022ICSCEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2022ICSASAP: automatic synthesis of area-efficient and precision-aware CGRAs.Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2021AAAIComparison Lift: Bandit-based Experimentation System for Online Advertising.Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
2021FCCMUpgrade 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
2021ICCADFL-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, Caiwen Ding, Weiwen Jiang, Lei Yang
2021ICCADOptimizing 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
2021ICCADG-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency.Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021ICCDDynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021MICROI-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
2021SCAPNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores.Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2020AAAIOnline Evaluation of Audiences for Targeted Advertising via Bandit Experiments.Tong Geng, Xiliang Lin, Harikesh S. Nair
2020FCCMFP-AMG: FPGA-Based Acceleration Framework for Algebraic Multigrid Solvers.Pouya Haghi, Tong Geng, Anqi Guo, Tianqi Wang, Martin C. Herbordt
2020ICSCSB-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, Yanzhi Wang
2020MICROAWB-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
2019FCCMFP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications.Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt
2019FCCMGhostSZ: A Transparent FPGA-Accelerated Lossy Compression Framework.Qingqing Xiong, Rushi Patel, Chen Yang, Tong Geng, Anthony Skjellum, Martin C. Herbordt
2019ICSO3BNN: 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
2019SCBSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets.Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
2019SCFully 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
2018FCCMFPDeep: Acceleration and Load Balancing of CNN Training on FPGA Clusters.Tong Geng, Tianqi Wang, Ahmed Sanaullah, Chen Yang, Rui Xu, Rushi Patel, Martin C. Herbordt
2018FPLA 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, Rushi Patel, Martin C. Herbordt
2016DSDMacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture.Tong Geng, Luc Waeijen, Maurice Peemen, Henk Corporaal, Yifan He