RK
Rajgopal Kannan
cs.LGcs.DCcs.CVcs.ARcs.AIcs.GTcs.CReess.IVcs.ITcs.PF
On Valency
published · living versionsW_7qkdycta·v1 · currentpublished
Topology Survives Shuffling: Robust Long-Context Memory Access Prediction for Graph Analytics
with Dongyan Sun, Neelesh Gupta, Viktor K. Prasanna
1 version
Preprints & journals
67 papers in the corpus · 2007–2026FPGA Acceleration of Fully Homomorphic Encryption with Adaptive Key Switching2609.09423v1 · Zhihan Xu, Jayashree Adivarahan, Rajgopal Kannan et al.2026 · 0 citationsarXiv
TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks2604.27356v1 · Ta-Yang Wang, Rajgopal Kannan, Viktor Prasanna2026 · 0 citationsarXiv
Do LLM-derived graph priors improve multi-agent coordination?2604.17191v1 · Nikunj Gupta, Rajgopal Kannan, Viktor Prasanna2026 · 0 citationsarXiv
FAME: FPGA Acceleration of Secure Matrix Multiplication with Homomorphic Encryption2512.15515v1 · Zhihan Xu, Rajgopal Kannan, Viktor K. Prasanna2025 · 0 citationsarXiv
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning2512.05325v1 · Omer Faruk Akgul, Yusuf Hakan Kalaycı, Rajgopal Kannan et al.2025 · 0 citationsarXiv
HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning2511.09873v1 · Nikunj Gupta, Bill Guo, Rajgopal Kannan et al.2025 · 0 citationsarXiv
TIGER-MARL: Enhancing Multi-Agent Reinforcement Learning with Temporal Information through Graph-based Embeddings and Representations2511.08832v1 · Nikunj Gupta, Ludwika Twardecka, James Zachary Hare et al.2025 · 0 citationsarXiv
Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study2510.18370v1 · Gangda Deng, Yuxin Yang, Omer Faruk Akgul et al.2025 · 0 citationsarXiv
Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say2509.21164v1 · Jacob Fein-Ashley, Dhruv Parikh, Rajgopal Kannan et al.2025 · 0 citationsarXiv
AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs2507.15121v2 · Sasindu Wijeratne, Rajgopal Kannan, Viktor Prasanna2025 · 1 citationarXiv
Adversarial Knapsack for Sequential Competitive Resource Allocation2504.16752v1 · Omkar Thakoor, Rajgopal Kannan, Victor Prasanna2025 · 1 citationarXiv
SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts2502.18394v7 · Jacob Fein-Ashley, Neelesh Gupta, Rajgopal Kannan et al.2025 · 1 citationarXiv
Deep Meta Coordination Graphs for Multi-agent Reinforcement Learning2502.04028v3 · Nikunj Gupta, James Zachary Hare, Jesse Milzman et al.2025 · 1 citationarXiv
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning2501.10640v2 · Dhruv Parikh, Jacob Fein-Ashley, Tian Ye et al.2025 · 8 citationsarXiv
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours2412.20256v1 · Yuxin Yang, Hongkuan Zhou, Rajgopal Kannan et al.2024 · 0 citationsarXiv
Adversarial Training in Low-Label Regimes with Margin-Based Interpolation2411.17959v1 · Tian Ye, Rajgopal Kannan, Viktor Prasanna2024 · 0 citationsarXiv
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information2410.14010v1 · Omer Faruk Akgul, Rajgopal Kannan, Viktor Prasanna2024 · 0 citationsarXiv
Mixture of Scope Experts at Test: Generalizing Deeper Graph Neural Networks with Shallow Variants2409.06998v4 · Gangda Deng, Hongkuan Zhou, Rajgopal Kannan et al.2024 · 0 citationsarXiv
Studying the Effects of Self-Attention on SAR Automatic Target Recognition2409.00473v1 · Jacob Fein-Ashley, Rajgopal Kannan, Viktor Prasanna2024 · 1 citationarXiv
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU2405.08470v1 · Sasindu Wijeratne, Rajgopal Kannan, Viktor Prasanna2024 · 6 citationsarXiv
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA2404.07188v1 · Bingyi Zhang, Rajgopal Kannan, Carl Busart et al.2024 · 5 citationsarXiv
VTR: An Optimized Vision Transformer for SAR ATR Acceleration on FPGA2404.04527v1 · Sachini Wickramasinghe, Dhruv Parikh, Bingyi Zhang et al.2024 · 8 citationsarXiv
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification2404.03225v1 · Xu Wang, Tian Ye, Rajgopal Kannan et al.2024 · 4 citationsarXiv
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks2403.18318v1 · Tian Ye, Rajgopal Kannan, Viktor Prasanna et al.2024 · 3 citationsarXiv
Accelerating ViT Inference on FPGA through Static and Dynamic Pruning2403.14047v2 · Dhruv Parikh, Shouyi Li, Bingyi Zhang et al.2024 · 14 citationsarXiv
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models2402.13441v1 · Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan et al.2024 · 4 citations2023 IEEE High Performance Extreme Computing Conference (HPEC), 2023, pp. 1-7
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning2402.05396v3 · Gangda Deng, Hongkuan Zhou, Hanqing Zeng et al.2024 · 6 citationsarXiv
A Single Graph Convolution Is All You Need: Efficient Grayscale Image Classification2402.00564v6 · Jacob Fein-Ashley, Sachini Wickramasinghe, Bingyi Zhang et al.2024 · 8 citationsarXiv
PAHD: Perception-Action based Human Decision Making using Explainable Graph Neural Networks on SAR Images2401.02687v1 · Sasindu Wijeratne, Bingyi Zhang, Rajgopal Kannan et al.2024 · 4 citationsarXiv
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching2401.06362v3 · Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan et al.2023 · 7 citationsarXiv
Benchmarking Deep Learning Classifiers for SAR Automatic Target Recognition2312.06940v1 · Jacob Fein-Ashley, Tian Ye, Rajgopal Kannan et al.2023 · 11 citationsarXiv
Realistic Scatterer Based Adversarial Attacks on SAR Image Classifiers2312.02912v1 · Tian Ye, Rajgopal Kannan, Viktor Prasanna et al.2023 · 11 citationsarXiv
Label Efficient Regularization and Propagation for Graph Node Classification.37647182 · Xie, Tian, Kannan, Rajgopal, Kuo, C-C Jay2023 · 10 citationsIEEE transactions on pattern analysis and machine intelligence. 2023;45(12):14856-14871
Reuse Kernels or Activations? A Flexible Dataflow for Low-latency Spectral CNN Acceleration2310.10902v1 · Yue Niu, Rajgopal Kannan, Ajitesh Srivastava et al.2023 · 4 citationsarXiv
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU2309.09131v2 · Sasindu Wijeratne, Rajgopal Kannan, Viktor Prasanna2023 · 5 citationsarXiv
Performance of Graph Neural Networks for Point Cloud Applications2309.09142v1 · Dhruv Parikh, Bingyi Zhang, Rajgopal Kannan et al.2023 · 2 citationsarXiv
Characterizing Speed Performance of Multi-Agent Reinforcement Learning2309.07108v1 · Samuel Wiggins, Yuan Meng, Rajgopal Kannan et al.2023 · 4 citationsIn Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA (2023) 327-334
Graph Neural Network for Accurate and Low-complexity SAR ATR2305.07119v1 · Bingyi Zhang, Sasindu Wijeratne, Rajgopal Kannan et al.2023 · 5 citationsarXiv
HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN2304.10013v1 · Hongkuan Zhou, Rajgopal Kannan, Ananthram Swami et al.2023 · 13 citationsarXiv
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA2301.01454v1 · Bingyi Zhang, Rajgopal Kannan, Viktor Prasanna et al.2023 · 24 citationsarXiv
Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics2212.05250v2 · Pengmiao Zhang, Rajgopal Kannan, Viktor K. Prasanna2022 · 1 citationarXiv
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform2208.11208v1 · Yuan Meng, Rajgopal Kannan, Viktor Prasanna2022 · 5 citationsarXiv
Towards Programmable Memory Controller for Tensor Decomposition2207.08298v1 · Sasindu Wijeratne, Ta-Yang Wang, Rajgopal Kannan et al.2022 · 2 citationsarXiv
Design and Implementation of Knowledge Base for Runtime Management of Software Defined Hardware2203.15534v1 · Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan et al.2022 · 17 citationsarXiv
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA2203.05095v1 · Hongkuan Zhou, Bingyi Zhang, Rajgopal Kannan et al.2022 · 18 citationsarXiv
Decoupling the Depth and Scope of Graph Neural Networks2201.07858v1 · Hanqing Zeng, Muhan Zhang, Yinglong Xia et al.2022 · 86 citationsAdvances in Neural Information Processing Systems, 2021
Parallel Peeling of Bipartite Networks for Hierarchical Dense Subgraph Discovery2110.12511v1 · Kartik Lakhotia, Rajgopal Kannan, Viktor Prasanna2021 · 5 citationsarXiv
Reconfigurable Low-latency Memory System for Sparse Matricized Tensor Times Khatri-Rao Product on FPGA2109.08874v1 · Sasindu Wijeratne, Rajgopal Kannan, Viktor Prasanna2021 · 6 citationsarXiv
Programmable FPGA-based Memory Controller2108.09601v1 · Sasindu Wijeratne, Sanket Pattnaik, Zhiyu Chen et al.2021 · 5 citationsarXiv
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning2105.04528v1 · Hongkuan Zhou, Ajitesh Srivastava, Hanqing Zeng et al.2021 · 63 citationsarXiv
Career total: 225 works. 67 are in this corpus.Showing the 50 most recent.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.