Sitao Huang - RankMe

73 papers A* 8A 11B 6C 2Misc 2Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract). AAAI Yian Wang, Ye Qiao, Sitao Huang, Hyoukjun Kwon
2026	A*	`conf`	HARK: Hierarchical Agentic Retrieval with Keyframing for Video Understanding (Student Abstract). AAAI Jingcheng Li, Ye Qiao, Sitao Huang
2026	A*	`conf`	Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract). AAAI Ye Qiao, Sitao Huang
2026	A	`conf`	TeLLMe: An Efficient End-to-End Ternary LLM Prefill and Decode Accelerator with Table-Lookup Matmul on Edge FPGAs. FPGA Ye Qiao, Zhiheng Chen, Yifan Zhang, Yian Wang, Sitao Huang
2025	J	`jnl`	A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization. CoRR Yifan Zhang, Xiaoyu Niu, Hongzheng Tian, Yanjun Zhang, Bo Yu, Shaoshan Liu, Sitao Huang
2025	J	`jnl`	A Sparsity-Aware Autonomous Path Planning Accelerator with HW/SW Co-Design and Multi-Level Dataflow Optimization. ACM Trans. Archit. Code Optim. Yifan Zhang, Xiaoyu Niu, Hongzheng Tian, Yanjun Zhang, Bo Yu, Shaoshan Liu, Sitao Huang
2025	A	`conf`	COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference. ICCAD Ye Qiao, Zhiheng Chen, Yian Wang, Yifan Zhang, Yunzhe Deng, Sitao Huang
2025	J	`jnl`	COBRA: Algorithm-Architecture Co-optimized Binary Transformer Accelerator for Edge Inference. CoRR Ye Qiao, Zhiheng Chen, Yian Wang, Yifan Zhang, Yunzhe Deng, Sitao Huang
2025	J	`jnl`	Characterizing State Space Model (SSM) and SSM-Transformer Hybrid Language Model Performance with Long Context Length. CoRR Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
2025	J	`jnl`	DPad: Efficient Diffusion Language Models with Suffix Dropout. CoRR Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen
2025	J	`jnl`	Fault-Free Analog Computing with Imperfect Hardware. CoRR Zhicheng Xu, Jiawei Liu, Sitao Huang, Zefan Li, Shengbo Wang, Bo Wen, Ruibin Mao, Mingrui Jiang, Giacomo Pedretti, Jim Ignowski, Kaibin Huang, Can Li
2025	B	`conf`	HeteroBench: Multi-kernel Benchmarks for Heterogeneous Systems. ICPE Hongzheng Tian, Alok Mishra, Zhiheng Chen, Rolando P. Hong Enriquez, Dejan S. Milojicic, Eitan Frachtenberg, Sitao Huang
2025	B	`conf`	MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs. IJCNN Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
2025	J	`jnl`	PD-Swap: Prefill-Decode Logic Swapping for End-to-End LLM Inference on Edge FPGAs via Dynamic Partial Reconfiguration. CoRR Yifan Zhang, Zhiheng Chen, Ye Qiao, Sitao Huang
2025	J	`jnl`	Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs. CoRR Ye Qiao, Sitao Huang
2025	B	`conf`	RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. IJCNN Jingcheng Li, Ye Qiao, Haocheng Xu, Sitao Huang
2025	J	`jnl`	Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling. CoRR Ye Qiao, Haocheng Xu, Xiaofan Zhang, Sitao Huang
2025	A*	`conf`	SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training. DAC Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-Mei Hwu
2025	J	`jnl`	TeLLMe v2: An Efficient End-to-End Ternary LLM Prefill and Decode Accelerator with Table-Lookup Matmul on Edge FPGAs. CoRR Ye Qiao, Zhiheng Chen, Yifan Zhang, Yian Wang, Sitao Huang
2025	J	`jnl`	TeLLMe: An Energy-Efficient Ternary LLM Accelerator for Prefilling and Decoding on Edge FPGAs. CoRR Ye Qiao, Zhiheng Chen, Yifan Zhang, Yian Wang, Sitao Huang
2024	A	`conf`	A Sparsity-Aware Autonomous Path Planning Accelerator with Algorithm-Architecture Co-Design. ICCAD Yanjun Zhang, Xiaoyu Niu, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
2024	A	`conf`	Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. FPGA Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang
2024	—	`conf`	Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
2024	J	`jnl`	HyperDetect: A Real-Time Hyperdimensional Solution for Intrusion Detection in IoT Networks. IEEE Internet Things J. Junyao Wang, Haocheng Xu, Yonatan Gizachew Achamyeleh, Sitao Huang, Mohammad Abdullah Al Faruque
2024	J	`jnl`	MONAS: Efficient Zero-Shot Neural Architecture Search for MCUs. CoRR Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
2024	A	`conf`	MicroNAS: Zero-Shot Neural Architecture Search for MCUs. DATE Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
2024	J	`jnl`	MicroNAS: Zero-Shot Neural Architecture Search for MCUs. CoRR Ye Qiao, Haocheng Xu, Yifan Zhang, Sitao Huang
2024	J	`jnl`	Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. CoRR Haocheng Xu, Faraz Tahmasebi, Ye Qiao, Hongzheng Tian, Hyoukjun Kwon, Sitao Huang
2024	J	`jnl`	Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models. CoRR Haocheng Xu, Haotian Hu, Sitao Huang
2024	J	`jnl`	RSEND: Retinex-based Squeeze and Excitation Network with Dark Region Detection for Efficient Low Light Image Enhancement. CoRR Jingcheng Li, Ye Qiao, Haocheng Xu, Sitao Huang
2024	J	`jnl`	TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading. CoRR Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-mei W. Hwu
2024	J	`jnl`	TG-NAS: Leveraging Zero-Cost Proxies with Transformer and Graph Convolution Networks for Efficient Neural Architecture Search. CoRR Ye Qiao, Haocheng Xu, Sitao Huang
2023	A	`conf`	CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. ISLPED Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang
2023	J	`jnl`	CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. CoRR Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang
2023	A*	`conf`	DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC Junyao Wang, Sitao Huang, Mohsen Imani
2023	J	`jnl`	DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. CoRR Junyao Wang, Sitao Huang, Mohsen Imani
2023	A*	`conf`	Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
2023	J	`jnl`	Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. CoRR Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani
2023	J	`jnl`	PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks. CoRR Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-mei W. Hwu
2023	J	`jnl`	Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
2022	J	`jnl`	Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. CoRR Mang Yu, Sitao Huang, Deming Chen
2022	J	`jnl`	Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. CoRR Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen
2022	J	`jnl`	Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU. CoRR Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
2021	—	`conf`	A Python-based High-Level Programming Flow for CPU-FPGA Heterogeneous Systems : (Invited Paper). PEHC@SC Sitao Huang, Kun Wu, Sai Rahul Chalamalasetti, Izzat El Hajj, Cong Xu, Paolo Faraboschi, Deming Chen
2021	C	`conf`	Chimera: A Hybrid Machine Learning-Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis. IDEAL Mang Yu, Sitao Huang, Deming Chen
2021	Misc	`conf`	Extending HLS with High-Level Descriptive Language for Configurable Algorithm-Level Spatial Structure Design. FCCM Chengyue Wang, Sitao Huang, Wen-Mei Hwu, Deming Chen
2021	—	`—`	High-efficiency and high-usability heterogeneous hardware acceleration with FPGAs Sitao Huang
2021	C	`conf`	Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment. ICCD Enliang Li, Subho S. Banerjee, Sitao Huang, Ravishankar K. Iyer, Deming Chen
2021	J	`jnl`	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. CoRR Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2021	J	`jnl`	Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture. Proc. VLDB Endow. Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2021	J	`jnl`	Mind Mappings: Enabling Efficient Algorithm-Accelerator Mapping Space Search. CoRR Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021	A*	`conf`	Mind mappings: enabling efficient algorithm-accelerator mapping space search. ASPLOS Kartik Hegde, Po-An Tsai, Sitao Huang, Vikas Chandra, Angshuman Parashar, Christopher W. Fletcher
2021	—	`conf`	Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 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
2021	A	`conf`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses. CoRR Seungwon Min, Kun Wu, Sitao Huang, Mert Hidayetoglu, Jinjun Xiong, Eiman Ebrahimi, Deming Chen, Wen-mei W. Hwu
2019	—	`conf`	Accelerating Sparse Deep Neural Networks on FPGAs. HPEC Sitao Huang, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Deming Chen, Wen-mei W. Hwu
2019	B	`conf`	Analysis and Modeling of Collaborative Execution Strategies for Heterogeneous CPU-FPGA Architectures. ICPE 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
2019	B	`conf`	Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. FPL Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
2019	J	`jnl`	Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. CoRR Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
2019	A	`conf`	Automatic Generation of Warp-Level Primitives and Atomic Instructions for Fast and Portable Parallel Reduction on GPUs. CGO Simon Garcia De Gonzalo, Sitao Huang, Juan Gómez-Luna, Simon D. Hammond, Onur Mutlu, Wen-Mei Hwu
2019	A*	`conf`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. CoRR Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	—	`conf`	Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads. ISVLSI Ashutosh Dhar, Sitao Huang, Jinjun Xiong, Damir A. Jamsek, Bruno Mesnet, Jian Huang, Nam Sung Kim, Wen-mei W. Hwu, Deming Chen
2018	—	`conf`	Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 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
2018	—	`conf`	Towards Neural Phrase-based Machine Translation. ICLR (Poster) Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
2018	—	`conf`	Triangle Counting and Truss Decomposition using FPGA. HPEC Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram S. Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-Mei Hwu
2017	B	`conf`	Collaborative Computing for Heterogeneous Integrated Systems. ICPE Li-Wen Chang, Juan Gómez-Luna, Izzat El Hajj, Sitao Huang, Deming Chen, Wen-mei W. Hwu
2017	A	`conf`	Hardware Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FPGA Sitao Huang, Gowthami Jayashri Manikandan, Anand Ramachandran, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen
2016	Misc	`conf`	Acceleration of the Pair-HMM Algorithm for DNA Variant Calling. FCCM Gowthami Jayashri Manikandan, Sitao Huang, Kyle Rupnow, Wen-mei W. Hwu, Deming Chen
2014	A	`conf`	Accelerating frequent item counting with FPGA. FPGA Yuliang Sun, Zilong Wang, Sitao Huang, Lanjun Wang, Yu Wang, Rong Luo, Huazhong Yang
2013	A	`conf`	Accelerating subsequence similarity search based on dynamic time warping distance with FPGA. FPGA Zilong Wang, Sitao Huang, Lanjun Wang, Hao Li, Yu Wang, Huazhong Yang
2013	—	`conf`	DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform. HPCC/EUC Sitao Huang, Guohao Dai, Yuliang Sun, Zilong Wang, Yu Wang, Huazhong Yang