Tong Geng - RankMe

141 papers A* 28A 16B 5C 6Misc 6Journal 60Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SLAM: Extending the Reach of Ising Machine Advantage. IEEE Trans. Computers Matthew X. Burns, Zahra Azad, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
2026	J	`jnl`	Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving. CoRR Haixi Zhang, Aiyinsi Zuo, Zirui Li, Chunshu Wu, Tong Geng, Zhiyao Duan
2026	J	`jnl`	Zeros can be Informative: Masked Binary U-Net for Image Segmentation on Tensor Cores. CoRR Chunshu Wu, Ruibing Song, Sushant Kondguli, Tong Geng, Ang Li
2025	J	`jnl`	ACiS: Complex Processing in the Switch Fabric. CoRR Pouya Haghi, Anqi Guo, Tong Geng, Anthony Skjellum, Martin C. Herbordt
2025	J	`jnl`	Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything. CoRR Huawei Lin, Yunzhi Shi, Tong Geng, Weijie Zhao, Wei Wang, Ravender Pal Singh
2025	A*	`conf`	An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning. ICML Chuan Liu, Chunshu Wu, Ruibing Song, Ang Li, Ying Nian Wu, Tong Geng
2025	A*	`conf`	DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning. DAC Pouya Haghi, Ali Falahati, Zahra Azad, Chunshu Wu, Ruibing Song, Chuan Liu, Ang Li, Tong Geng
2025	A*	`conf`	DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models. ICLR Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng
2025	A*	`conf`	DS-TIDE: Harnessing Dynamical Systems for Efficient Time-Independent Differential Equation Solving. MICRO Chuan Liu, Chunshu Wu, Ruibing Song, Guangyan Sun, Ying Nian Wu, Yousu Chen, Ang Li, Tong Geng
2025	A*	`conf`	Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. ICLR 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	A*	`conf`	InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems. ICLR Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng
2025	A*	`conf`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. EMNLP Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu
2025	J	`jnl`	Probabilistic Token Alignment for Large Language Model Fusion. CoRR Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu
2025	J	`jnl`	UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models. CoRR Huawei Lin, Yingjie Lao, Tong Geng, Tan Yu, Weijie Zhao
2025	J	`jnl`	VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. CoRR Huawei Lin, Tong Geng, Zhaozhuo Xu, Weijie Zhao
2025	A*	`conf`	Visual Agents as Fast and Slow Thinkers. ICLR Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2024	J	`jnl`	A systematic evaluation of computational methods for cell segmentation. Briefings Bioinform. Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji
2024	A	`conf`	Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. SC 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
2024	J	`jnl`	Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR 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
2024	J	`jnl`	Accurate and Data-Efficient Micro X-ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids. Adv. Intell. Syst. Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
2024	J	`jnl`	Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids. CoRR Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang
2024	A*	`conf`	DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. ISCA Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng
2024	J	`jnl`	Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. CoRR Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng
2024	—	`conf`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. ICPE (Companion) Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2024	A*	`conf`	Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. ICLR Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng
2024	J	`jnl`	FPGA-Accelerated Range-Limited Molecular Dynamics. IEEE Trans. Computers Chunshu Wu, Chen Yang, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Ang Li, Martin C. Herbordt
2024	J	`jnl`	Inertial Confinement Fusion Forecasting via LLMs. CoRR Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu
2024	—	`conf`	NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting. LoG Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng
2024	A*	`conf`	Prototypical Transformer As Unified Motion Learners. ICML 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
2024	J	`jnl`	Prototypical Transformer as Unified Motion Learners. CoRR Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu
2024	B	`conf`	Semi-supervised Crowd Counting Based on Hard Pseudo-labels. IJCNN Hanxiao Li, Yonghong Song, Tong Geng
2024	A	`conf`	SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. ICS Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt
2024	A*	`conf`	Visual Fourier Prompt Tuning. NeurIPS Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2024	J	`jnl`	Visual Fourier Prompt Tuning. CoRR Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
2023	A	`conf`	Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. ICCAD Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
2023	J	`jnl`	Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks. CoRR Xi Xie, Hongwu Peng, Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding
2023	A*	`conf`	ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	ClusterFormer: Clustering As A Universal Visual Learner. CoRR James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors. IEEE Trans. Parallel Distributed Syst. Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
2023	J	`jnl`	Evaluating Emerging AI/ML Accelerators: IPU, RDU, and NVIDIA/AMD GPUs. CoRR Hongwu Peng, Caiwen Ding, Tong Geng, Sutanay Choudhury, Kevin J. Barker, Ang Li
2023	A	`conf`	FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. SC Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt
2023	A	`conf`	FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS 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	A*	`conf`	Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning. DAC Zhuo Liu, Yunan Yang, Zhenyu Pan, Anshujit Sharma, Amit Hasan, Caiwen Ding, Ang Li, Michael C. Huang, Tong Geng
2023	A*	`conf`	Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty. AAAI Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael C. Huang, Tong Geng
2023	A*	`conf`	LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023	J	`jnl`	LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
2023	A*	`conf`	MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023	A*	`conf`	ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs. DAC YiXuan Luo, Cheng Tan, Nicolas Bohm Agostini, Ang Li, Antonino Tumeo, Nirav Dave, Tong Geng
2023	J	`jnl`	Machine Learning Automated Approach for Enormous Synchrotron X-Ray Diffraction Data Interpretation. CoRR Xiaodong Zhao, YiXuan Luo, Juejing Liu, Wenjun Liu, Kevin M. Rosso, Xiaofeng Guo, Tong Geng, Ang Li, Xin Zhang
2023	A*	`conf`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC 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	J	`jnl`	PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR 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	J	`jnl`	RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
2023	A	`conf`	Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. ICS Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
2023	J	`jnl`	Supporting Energy-Based Learning With An Ising Machine Substrate: A Case Study on RBM. CoRR Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
2023	A*	`conf`	Supporting Energy-based Learning with an Ising Machine substrate: a Case Study on RBM. MICRO Uday Kumar Reddy Vengalam, Yongchao Liu, Tong Geng, Hui Wu, Michael C. Huang
2023	A*	`conf`	TransFlow: Transformer as Flow Learner. CVPR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2023	J	`jnl`	TransFlow: Transformer as Flow Learner. CoRR Yawen Lu, Qifan Wang, Siqi Ma, Tong Geng, Yingjie Victor Chen, Huaijin G. Chen, Dongfang Liu
2022	B	`conf`	A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022	J	`jnl`	A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A*	`conf`	A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A	`conf`	ASAP: automatic synthesis of area-efficient and precision-aware CGRAs. ICS Cheng Tan, Thierry Tambe, Jeff Jun Zhang, Bo Fang, Tong Geng, Gu-Yeon Wei, David Brooks, Antonino Tumeo, Ganesh Gopalakrishnan, Ang Li
2022	J	`jnl`	An improved algorithm for extracting crossovers of satellite ground tracks. Comput. Geosci. Xiao Li, Shengkai Zhang, Tong Geng, Jiaxing Li, Benxin Zhu, Laixing Liu, Feng Xiao
2022	J	`jnl`	Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge. IEEE Trans. Geosci. Remote. Sens. Shengkai Zhang, Tong Geng, Chaohui Zhu, Jiaxing Li, Xiao Li, Benxin Zhu, Laixing Liu, Feng Xiao
2022	A	`conf`	CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. ICS Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2022	C	`conf`	CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM. ICCD YiXuan Luo, Payman Behnam, Kiran Thorat, Zhuo Liu, Hongwu Peng, Shaoyi Huang, Shu Zhou, Omer Khan, Alexey Tumanov, Caiwen Ding, Tong Geng
2022	A*	`conf`	DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs. HPCA Cheng Tan, Nicolas Bohm Agostini, Tong Geng, Chenhao Xie, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2022	J	`jnl`	Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numerical Behaviors. CoRR Wei Sun, Ang Li, Tong Geng, Sander Stuijk, Henk Corporaal
2022	J	`jnl`	Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022	Misc	`conf`	FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt
2022	J	`jnl`	GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm. CoRR Yanfei Li, Tong Geng, Samuel A. Stein, Ang Li, Huimin Yu
2022	A*	`conf`	GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. HPCA Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2022	J	`jnl`	GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
2022	B	`conf`	H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. FPL Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022	J	`jnl`	H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. CoRR Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022	J	`jnl`	I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2022	C	`conf`	On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
2022	B	`conf`	Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs. FPL Chunshu Wu, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2022	J	`jnl`	Reconfigurable switches for high performance and flexible MPI collectives. Concurr. Comput. Pract. Exp. Pouya Haghi, Anqi Guo, Qingqing Xiong, Chen Yang, Tong Geng, Justin T. Broaddus, Ryan J. Marshall, Derek Schafer, Anthony Skjellum, Martin C. Herbordt
2022	—	`conf`	The Viability of Using Online Prediction to Perform Extra Work while Executing BSP Applications. HPEC Po Hao Chen, Pouya Haghi, Jae Yoon Chung, Tong Geng, Richard West, Anthony Skjellum, Martin C. Herbordt
2022	C	`conf`	Towards Real-Time Temporal Graph Learning. ICCD Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022	J	`jnl`	Towards Real-Time Temporal Graph Learning. CoRR Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022	C	`conf`	Towards Sparsification of Graph Neural Networks. ICCD Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022	J	`jnl`	Towards Sparsification of Graph Neural Networks. CoRR Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2021	—	`conf`	A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. HPEC Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li
2021	J	`jnl`	APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	A	`conf`	APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	J	`jnl`	ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing. IEEE Trans. Parallel Distributed Syst. Cheng Tan, Chenhao Xie, Tong Geng, Andres Marquez, Antonino Tumeo, Kevin J. Barker, Ang Li
2021	—	`conf`	Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
2021	J	`jnl`	Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data. Remote. Sens. Shengkai Zhang, Yue Xuan, Jiaxing Li, Tong Geng, Xiao Li, Feng Xiao
2021	J	`jnl`	BCNN: Binary Complex Neural Network. CoRR Yanfei Li, Tong Geng, Ang Li, Huimin Yu
2021	J	`jnl`	BCNN: Binary complex neural network. Microprocess. Microsystems Yanfei Li, Tong Geng, Ang Li, Huimin Yu
2021	—	`conf`	Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	J	`jnl`	Binary Complex Neural Network Acceleration on FPGA. CoRR Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
2021	J	`jnl`	CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. CoRR Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2021	A*	`conf`	Comparison Lift: Bandit-based Experimentation System for Online Advertising. AAAI Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
2021	J	`jnl`	DEM Generation with ICESat-2 Altimetry Data for the Three Antarctic Ice Shelves: Ross, Filchner-Ronne and Amery. Remote. Sens. Tong Geng, Shengkai Zhang, Feng Xiao, Jiaxing Li, Yue Xuan, Xiao Li, Fei Li
2021	C	`conf`	DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications. ICCD Cheng Tan, Tong Geng, Chenhao Xie, Nicolas Bohm Agostini, Jiajia Li, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	A	`conf`	FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
2021	—	`—`	FPGA-based high-performance neural network acceleration Tong Geng
2021	A	`conf`	G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. ICCAD Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021	J	`jnl`	G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency. CoRR Yongan Zhang, Haoran You, Yonggan Fu, Tong Geng, Ang Li, Yingyan Lin
2021	J	`jnl`	GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design. CoRR Haoran You, Tong Geng, Yongan Zhang, Ang Li, Yingyan Lin
2021	A*	`conf`	I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li
2021	J	`jnl`	O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. IEEE Trans. Parallel Distributed Syst. Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt
2021	—	`conf`	OpenCGRA: Democratizing Coarse-Grained Reconfigurable Arrays. ASAP Cheng Tan, Nicolas Bohm Agostini, Jeff Zhang, Marco Minutoli, Vito Giovanni Castellana, Chenhao Xie, Tong Geng, Ang Li, Kevin J. Barker, Antonino Tumeo
2021	A	`conf`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 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	J	`jnl`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR 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	—	`conf`	System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations. HPEC Chunshu Wu, Sahan Bandara, Tong Geng, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2021	Misc	`conf`	Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors. FCCM Chunshu Wu, Tong Geng, Sahan Bandara, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2021	—	`conf`	Workload Imbalance in HPC Applications: Effect on Performance of In-Network Processing. HPEC Pouya Haghi, Anqi Guo, Tong Geng, Anthony Skjellum, Martin C. Herbordt
2020	—	`conf`	A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics. HPEC Chunshu Wu, Tong Geng, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2020	—	`conf`	A Reconfigurable Compute-in-the-Network FPGA Assistant for High-Level Collective Support with Distributed Matrix Multiply Case Study. FPT Pouya Haghi, Anqi Guo, Tong Geng, Justin T. Broaddus, Derek Schafer, Anthony Skjellum, Martin C. Herbordt
2020	A*	`conf`	AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. MICRO Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt
2020	—	`conf`	CQNN: a CGRA-based QNN Framework. HPEC Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt
2020	J	`jnl`	CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks. CoRR Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
2020	A	`conf`	CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. ICS Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang
2020	J	`jnl`	Comparison Lift: Bandit-based Experimentation System for Online Advertising. CoRR Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan
2020	J	`jnl`	Estimating Arctic Sea Ice Thickness with CryoSat-2 Altimetry Data Using the Least Squares Adjustment Method. Sensors Feng Xiao, Fei Li, Shengkai Zhang, Jiaxing Li, Tong Geng, Yue Xuan
2020	Misc	`conf`	FP-AMG: FPGA-Based Acceleration Framework for Algebraic Multigrid Solvers. FCCM Pouya Haghi, Tong Geng, Anqi Guo, Tianqi Wang, Martin C. Herbordt
2020	J	`jnl`	FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters. IEEE Trans. Computers Tianqi Wang, Tong Geng, Ang Li, Xi Jin, Martin C. Herbordt
2020	—	`conf`	FPGAs in the Network and Novel Communicator Support Accelerate MPI Collectives. HPEC Pouya Haghi, Anqi Guo, Qingqing Xiong, Rushi Patel, Chen Yang, Tong Geng, Justin T. Broaddus, Ryan J. Marshall, Anthony Skjellum, Martin C. Herbordt
2020	A*	`conf`	Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. AAAI Tong Geng, Xiliang Lin, Harikesh S. Nair
2019	J	`jnl`	A Scalable Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Weight and Workload Balancing. CoRR Tong Geng, Tianqi Wang, Ang Li, Xi Jin, Martin C. Herbordt
2019	—	`conf`	Accelerating AP3M-Based Computational Astrophysics Simulations with Reconfigurable Clusters. ASAP Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt
2019	A	`conf`	BSTC: a novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. SC Ang Li, Tong Geng, Tianqi Wang, Martin C. Herbordt, Shuaiwen Leon Song, Kevin J. Barker
2019	Misc	`conf`	FP-AMR: A Reconfigurable Fabric Framework for Adaptive Mesh Refinement Applications. FCCM Tianqi Wang, Tong Geng, Xi Jin, Martin C. Herbordt
2019	J	`jnl`	Fully Integrated On-FPGA Molecular Dynamics Simulations. CoRR Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2019	A	`conf`	Fully integrated FPGA molecular dynamics simulations. SC 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
2019	Misc	`conf`	GhostSZ: A Transparent FPGA-Accelerated Lossy Compression Framework. FCCM Qingqing Xiong, Rushi Patel, Chen Yang, Tong Geng, Anthony Skjellum, Martin C. Herbordt
2019	—	`conf`	LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism. ASAP Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt
2019	—	`conf`	Molecular Dynamics Range-Limited Force Evaluation Optimized for FPGAs. ASAP Chen Yang, Tong Geng, Tianqi Wang, Charles Lin, Jiayi Sheng, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
2019	A	`conf`	O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. ICS Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin C. Herbordt
2019	J	`jnl`	Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments. CoRR Tong Geng, Xiliang Lin, Harikesh S. Nair
2019	J	`jnl`	UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. CoRR Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt
2018	B	`conf`	A Framework for Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters with Work and Weight Load Balancing. FPL Tong Geng, Tianqi Wang, Ahmed Sanaullah, Chen Yang, Rushi Patel, Martin C. Herbordt
2018	—	`conf`	An Access-Pattern-Aware On-Chip Vector Memory System with Automatic Loading for SIMD Architectures. HPEC Tong Geng, Erkan Diken, Tianqi Wang, Lech Józwiak, Martin C. Herbordt
2018	Misc	`conf`	FPDeep: Acceleration and Load Balancing of CNN Training on FPGA Clusters. FCCM Tong Geng, Tianqi Wang, Ahmed Sanaullah, Chen Yang, Rui Xu, Rushi Patel, Martin C. Herbordt
2018	—	`conf`	Soft-Core. Multiple-Lane, FPGA-based ADCs for a Liquid Helium Environment. HPEC Zikun Xiang, Tianqi Wang, Tong Geng, Tian Xiang, Xi Jin, Martin C. Herbordt
2016	—	`conf`	A configurable SIMD architecture with explicit datapath for intelligent learning. SAMOS Yifan He, Maurice Peemen, Luc Waeijen, Erkan Diken, Mattia Fiumara, Gerard K. Rauwerda, Henk Corporaal, Tong Geng
2016	C	`conf`	MacSim: A MAC-Enabled High-Performance Low-Power SIMD Architecture. DSD Tong Geng, Luc Waeijen, Maurice Peemen, Henk Corporaal, Yifan He