H. T. Kung

ORCID

Publication Activity (10 Years)

Years Active: 1972-2023
Publications (10 Years): 69

Top Venues

Publications

Andrew Sabot, Vikas Natesh, H. T. Kung, Wei-Te Ting
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers. CoRR (2023)
Vikas Natesh, Andrew Sabot, H. T. Kung, Mark Ting
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels. CoRR (2023)
Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung
StitchNet: Composing Neural Networks from Pre-Trained Fragments. CoRR (2023)
Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
SphereFed: Hyperspherical Federated Learning. ECCV (26) (2022)
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CoRR (2022)
Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection. CVPR (2022)
Ruicong Chen, H. T. Kung, Anantha P. Chandrakasan, Hae-Seung Lee
A Bit-level Sparsity-aware SAR ADC with Direct Hybrid Encoding for Signed Expressions for AIoT Applications. ISLPED (2022)
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CVPR (2022)
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov, H. T. Kung
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. BMVC (2022)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. HPCA (2022)
Xin Dong, Sai Qian Zhang, Ang Li, H. T. Kung
SphereFed: Hyperspherical Federated Learning. CoRR (2022)
Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy. CoRR (2021)
H. T. Kung, Vikas Natesh, Andrew Sabot
CAKE: matrix multiplication using constant-bandwidth blocks. SC (2021)
Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
Training for multi-resolution inference using reusable quantization terms. ASPLOS (2021)
Sai Qian Zhang, Bradley McDanel, H. T. Kung
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. CoRR (2021)
Marcelo A. C. Fernandes, H. T. Kung
A Novel Training Strategy for Deep Learning Model Compression Applied to Viral Classifications. IJCNN (2021)
Bradley McDanel, Sai Qian Zhang, H. T. Kung
Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. ISCAS (2021)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. CoRR (2020)
Wen Tai, H. T. Kung, Xin Dong, Marcus Z. Comiter, Chang-Fu Kuo
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources. EMNLP (Findings) (2020)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS (2019)
Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, C. T. Wang, Jin Cai, C. Y. Chen, Victor C. Y. Chang, M. F. Chen, Jack Y. C. Sun, Douglas Yu
Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. ISCAS (2019)
Marcus Z. Comiter, Surat Teerapittayanon, H. T. Kung
CheckNet: Secure Inference on Untrusted Devices. CoRR (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. ASPLOS (2019)
H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP (2019)
Surat Teerapittayanon, H. T. Kung
DaiMoN: A Decentralized Artificial Intelligence Model Network. CoRR (2019)
Surat Teerapittayanon, H. T. Kung
DaiMoN: A Decentralized Artificial Intelligence Model Network. Blockchain (2019)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. AAAI (2019)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Adversarial Learning of Semantic Relevance in Text to Image Synthesis. CoRR (2018)
Sai Qian Zhang, H. T. Kung, Youngjune Gwon
InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking. CoRR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. CoRR (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. ICPR (2018)
Miriam Cha, Arjun Majumdar, H. T. Kung, Jarred Barber
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements. ICASSP (2018)
H. T. Kung, Bradley McDanel, Sai Qian Zhang
Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. SiPS (2018)
Sai Qian Zhang, Feng Xue, Nageen Himayat, Shilpa Talwar, H. T. Kung
A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks. SPAWC (2018)
Marcus Z. Comiter, H. T. Kung
Localization Convolutional Neural Networks Using Angle of Arrival Images. GLOBECOM (2018)
Miriam Cha, Youngjune Gwon, H. T. Kung
Adversarial nets with perceptual losses for text-to-image synthesis. MLSP (2017)
Hsieh-Chung Chen, H. T. Kung, Marcus Z. Comiter
Nonlinear compressive sensing for distorted measurements and application to improving efficiency of power amplifiers. ICC (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Embedded Binarized Neural Networks. CoRR (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Adversarial nets with perceptual losses for text-to-image synthesis. CoRR (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Embedded Binarized Neural Networks. EWSN (2017)
Philippe Tillet, H. T. Kung, David D. Cox
Infomax-ICA using Hessian-free optimization. ICASSP (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. CoRR (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks. CoRR (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices. CoRR (2017)
Marcus Z. Comiter, Michael B. Crouse, H. T. Kung, Jenn-Hwan Tarng, Zuo-Min Tsai, Wei-Ting Wu, Ta-Sung Lee, M.-C. Frank Chang, Yen-Cheng Kuan
Millimeter-Wave Field Experiments with Many Antenna Configurations for Indoor Multipath Environments. GLOBECOM Workshops (2017)
Marcus Z. Comiter, Michael B. Crouse, H. T. Kung
A Data-Driven Approach to Localization for High Frequency Wireless Mobile Networks. GLOBECOM (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CoRR (2017)
Bradley McDanel, Surat Teerapittayanon, H. T. Kung
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. ICMLA (2017)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices. ICDCS (2017)
Miriam Cha, Youngjune Gwon, H. T. Kung
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment. CIKM (2017)
Youngjune Gwon, Miriam Cha, H. T. Kung
Deep Sparse-coded Network (DSN). ICPR (2016)
Siamak Dastangoo, Carl Fossa, Youngjune L. Gwon, H. T. Kung
Competing Cognitive Resilient Networks. IEEE Trans. Cogn. Commun. Netw. 2 (1) (2016)
Youngjune Gwon, Miriam Cha, William M. Campbell, H. T. Kung, Charlie K. Dagli
Sparse-coded net model and applications. MLSP (2016)
James R. Williamson, Elizabeth Godoy, Miriam Cha, Adrianne Schwarzentruber, Pooya Khorrami, Youngjune Gwon, H. T. Kung, Charlie K. Dagli, Thomas F. Quatieri
Detecting Depression using Vocal, Facial and Semantic Communication Cues. AVEC@ACM Multimedia (2016)
Youngjune L. Gwon, William M. Campbell, Douglas E. Sturim, H. T. Kung
Language Recognition via Sparse Coding. INTERSPEECH (2016)
Youngjune Gwon, Siamak Dastangoo, H. T. Kung, Carl Fossa
Blind Signal Classification via Sparse Coding. GLOBECOM (2016)
Marcus Z. Comiter, Miriam Cha, H. T. Kung, Surat Teerapittayanon
Lambda means clustering: Automatic parameter search and distributed computing implementation. ICPR (2016)
Youngjune Gwon, William M. Campbell, Kevin Brady, Douglas E. Sturim, Miriam Cha, H. T. Kung
Multimodal Sparse Coding for Event Detection. CoRR (2016)
Michael B. Crouse, H. T. Kung
Nested Buddy System: A New Block Address Allocation Scheme for ISPs and IaaS Providers. CloudCom (2016)
Surat Teerapittayanon, Bradley McDanel, H. T. Kung
BranchyNet: Fast inference via early exiting from deep neural networks. ICPR (2016)
Stephen J. Tarsa, Marcus Z. Comiter, Michael B. Crouse, Bradley McDanel, H. T. Kung
Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model. MobiHoc (2015)
Hsieh-Chung Chen, Harnek Gulati, H. T. Kung, Surat Teerapittayanon
Compressive wireless pulse sensing. CTS (2015)
Miriam Cha, Youngjune L. Gwon, H. T. Kung
Geolocation with Subsampled Microblog Social Media. ACM Multimedia (2015)
Youngjune Gwon, Siamak Dastangoo, Carl Fossa, H. T. Kung
Fast Online Learning of Antijamming and Jamming Strategies. GLOBECOM (2015)
H. T. Kung, Bradley McDanel, Surat Teerapittayanon
PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries. LCPC (2015)
Miriam Cha, Youngjune Gwon, H. T. Kung
Twitter Geolocation and Regional Classification via Sparse Coding. ICWSM (2015)
Miriam Cha, Youngjune Gwon, H. T. Kung
Multimodal sparse representation learning and applications. CoRR (2015)
Hsieh-Chung Chen, Marcus Z. Comiter, H. T. Kung, Bradley McDanel
Sparse Coding Trees with application to emotion classification. CVPR Workshops (2015)
Chit-Kwan Lin, H. T. Kung
Mobile App Acceleration via Fine-Grain Offloading to the Cloud. HotCloud (2014)
Michael B. Crouse, Kevin Chen, H. T. Kung
Gait Recognition using Encodings with Flexible Similarity Metrics. ICAC (2014)
Stephen J. Tarsa, Amit P. Kumar, H. T. Kung
Workload prediction for adaptive power scaling using deep learning. ICICDT (2014)
Youngjune Gwon, H. T. Kung
Inferring Origin Flow Patterns in Wi-Fi with Deep Learning. ICAC (2014)
Ping-Heng Kuo, H. T. Kung
Subcarrier index coordinate expression (SICE): An ultra-low-power OFDM-compatible wireless communications scheme tailored for internet of things. IOT (2014)
Tsung-Han Lin, H. T. Kung
Stable and Efficient Representation Learning with Nonnegativity Constraints. ICML (2014)
Stephen J. Tarsa, H. T. Kung
Hierarchical Sparse Coding for Wireless Link Prediction in an Airborne Scenario. MILCOM (2013)
Youngjune Gwon, Siamak Dastangoo, Carl Fossa, H. T. Kung
Competing Mobile Network Game: Embracing antijamming and jamming strategies with reinforcement learning. CNS (2013)
Kevin Chen, H. T. Kung
Wireless Inference-based Notification (WIN) without Packet Decoding. ICAC (2013)
Youngjune Gwon, Siamak Dastangoo, H. T. Kung
Optimizing media access strategy for competing cognitive radio networks. GLOBECOM (2013)
Tsung-Han Lin, H. T. Kung
Concurrent channel access and estimation for scalable multiuser MIMO networking. INFOCOM (2013)
Tsung-Han Lin, Stephen J. Tarsa, H. T. Kung
Parallelization Primitives for Dynamic Sparse Computations. HotPar (2013)
Youngjune Gwon, H. T. Kung
Scaling network-based spectrum analyzer with constant communication cost. INFOCOM (2013)
Youngjune Gwon, H. T. Kung, Dario Vlah
Compressive sensing with optimal sparsifying basis and applications in spectrum sensing. GLOBECOM (2012)
Tsung-Han Lin, H. T. Kung
Compressive sensing medium access control for wireless LANs. GLOBECOM (2012)
Hsieh-Chung Chen, Tsung-Han Lin, H. T. Kung, Chit-Kwan Lin, Youngjune Gwon
Determining RF angle of arrival using COTS antenna arrays: A field evaluation. MILCOM (2012)
Yi-Min Tsai, Keng-Yen Huang, H. T. Kung, Dario Vlah, Youngjune Gwon, Liang-Gee Chen
A Chip Architecture for Compressive Sensing Based Detection of IC Trojans. SiPS (2012)
Ping-Heng Kuo, H. T. Kung, Pangan Ting
Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays. WCNC (2012)
Stephen J. Tarsa, H. T. Kung
Output compression for IC fault detection using compressive sensing. MILCOM (2012)
Youngjune Gwon, H. T. Kung, Dario Vlah, Keng-Yen Huang, Yi-Min Tsai
Statistical screening for IC Trojan detection. ISCAS (2012)
H. T. Kung, Chia-Mu Yu
Reducing Reconciliation Communication Cost with Compressed Sensing CoRR (2012)
H. T. Kung
Big Data and Compressive Sensing. IC3 (2012)
Hsieh-Chung Chen, H. T. Kung, Dario Vlah, Bruce W. Suter
Measurement combining and progressive reconstruction in compressive sensing. MILCOM (2011)
Chit-Kwan Lin, H. T. Kung, Tsung-Han Lin, Stephen J. Tarsa, Dario Vlah
Achieving High Throughput Ground-to-UAV Transport via Parallel Links. ICCCN (2011)
H. T. Kung, Stephen J. Tarsa
Partitioned compressive sensing with neighbor-weighted decoding. MILCOM (2011)
Hsieh-Chung Chen, H. T. Kung, Dario Vlah, Daniel Hague, Michael Muccio, Brendon Poland
Collaborative compressive spectrum sensing in a UAV environment. MILCOM (2011)
H. T. Kung, Chit-Kwan Lin, Dario Vlah
CloudSense: Continuous Fine-Grain Cloud Monitoring with Compressive Sensing. HotCloud (2011)
Youngjune Gwon, H. T. Kung, Dario Vlah
DISTROY: Detecting Integrated Circuit Trojans with Compressive Measurements. HotSec (2011)
Hsieh-Chung Chen, H. T. Kung
Separation-Based Joint Decoding in Compressive Sensing. ICCCN (2011)
H. T. Kung, Dario Vlah
A spectral clustering approach to validating sensors via their peers in distributed sensor networks. Int. J. Sens. Networks 8 (3/4) (2010)
H. T. Kung, S. Y. Wang
TCP trunking for bandwidth management of aggregate traffic. Comput. Syst. Sci. Eng. 25 (1) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

H. T. Kung