Sitao Huang

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 44

Top Topics

Design Space Exploration

Intrusion Detection

Neural Architecture

Top Venues

Publications

Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
MicroNAS: Zero-Shot Neural Architecture Search for MCUs. CoRR (2024)
Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. FPGA (2024)
Jingcheng Li, Ye Qiao, Haocheng Xu, Sitao Huang
RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. CoRR (2024)
Junyao Wang, Haocheng Xu, Yonatan Gizachew Achamyeleh, Sitao Huang, Mohammad Abdullah Al Faruque
HyperDetect: A Real-Time Hyperdimensional Solution for Intrusion Detection in IoT Networks. IEEE Internet Things J. 11 (8) (2024)
Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
MicroNAS: Zero-Shot Neural Architecture Search for MCUs. DATE (2024)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) (2024)
Ye Qiao, Haocheng Xu, Sitao Huang
TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search. CoRR (2024)
Junyao Wang, Sitao Huang, Mohsen Imani
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR (2023)
Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR (2023)
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. ISLPED (2023)
Junyao Wang, Sitao Huang, Mohsen Imani
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC (2023)
Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC (2023)
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. CoRR (2023)
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei W. Hwu
PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR (2023)
Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. 5 (2) (2023)
Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen
Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. CoRR (2022)
Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU. CoRR (2022)
Mang Yu, Sitao Huang, Deming Chen
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. CoRR (2022)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. 14 (11) (2021)
Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC (2021)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR (2021)
Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-Mei W. Hwu
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR (2021)
Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. CoRR (2021)
Mang Yu, Sitao Huang, Deming Chen
Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. IDEAL (2021)
Enliang Li, Subho S. Banerjee, Sitao Huang, Ravishankar K. Iyer, Deming Chen
Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment. ICCD (2021)
Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
Mind mappings: enabling efficient algorithm-accelerator mapping space search. ASPLOS (2021)
Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA (2021)
Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers 70 (12) (2021)
Chengyue Wang, Sitao Huang, Wen-Mei Hwu, Deming Chen
Extending HLS with High-Level Descriptive Language for Configurable Algorithm-Level Spatial Structure Design. FCCM (2021)
Sitao Huang, Kun Wu, Sai Rahul Chalamalasetti, Izzat El Hajj, Cong Xu, Paolo Faraboschi, Deming Chen
A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). PEHC@SC (2021)
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. CoRR (2019)
Ashutosh Dhar, Sitao Huang, Jinjun Xiong, Damir A. Jamsek, Bruno Mesnet, Jian Huang, Nam Sung Kim, Wen-Mei W. Hwu, Deming Chen
Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads. ISVLSI (2019)
Sitao Huang, Li-Wen Chang, Izzat El Hajj, Simon Garcia De Gonzalo, Juan Gómez-Luna, Sai Rahul Chalamalasetti, Mohamed El-Hadedy, Dejan S. Milojicic, Onur Mutlu, Deming Chen, Wen-Mei W. Hwu
Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA Architectures. ICPE (2019)
Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. CoRR (2019)
Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC (2019)
Simon Garcia De Gonzalo, Sitao Huang, Juan Gómez-Luna, Simon D. Hammond, Onur Mutlu, Wen-Mei Hwu
Automatic Generation of Warp-Level Primitives and Atomic Instructions for Fast and Portable Parallel Reduction on GPUs. CGO (2019)
Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. FPL (2019)
Sitao Huang, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Deming Chen, Wen-Mei W. Hwu
Accelerating Sparse Deep Neural Networks on FPGAs. HPEC (2019)
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
Towards Neural Phrase-based Machine Translation. ICLR (Poster) (2018)
Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram S. Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-Mei Hwu
Triangle Counting and Truss Decomposition using FPGA. HPEC (2018)
Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC (2018)
Li-Wen Chang, Juan Gómez-Luna, Izzat El Hajj, Sitao Huang, Deming Chen, Wen-mei W. Hwu
Collaborative Computing for Heterogeneous Integrated Systems. ICPE (2017)
Sitao Huang, Gowthami Jayashri Manikandan, Anand Ramachandran, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen
Hardware Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FPGA (2017)
Gowthami Jayashri Manikandan, Sitao Huang, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen
Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FCCM (2016)
Yuliang Sun, Zilong Wang, Sitao Huang, Lanjun Wang, Yu Wang, Rong Luo, Huazhong Yang
Accelerating frequent item counting with FPGA. FPGA (2014)
Sitao Huang, Guohao Dai, Yuliang Sun, Zilong Wang, Yu Wang, Huazhong Yang
DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. HPCC/EUC (2013)
Zilong Wang, Sitao Huang, Lanjun Wang, Hao Li, Yu Wang, Huazhong Yang
Accelerating subsequence similarity search based on dynamic time warping distance with FPGA. FPGA (2013)