Deming Chen

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 204

Top Venues

Publications

Jingru Jia, Zehua Yuan, Junhao Pan, Paul McNamara, Deming Chen
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context. CoRR (2024)
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS. CoRR (2024)
Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen
Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. ASPDAC (2024)
Zehua Yuan, Junhao Pan, Xiaofan Zhang, Deming Chen
HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN. ASPDAC (2024)
Hanchen Ye, Hyegang Jun, Deming Chen
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. ASPLOS (1) (2024)
Daisuke Mashima, Yao Chen, Muhammad M. Roomi, Subhash Lakshminarayana, Deming Chen
Cybersecurity for Modern Smart Grid against Emerging Threats. CoRR (2024)
Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
New Solutions on LLM Acceleration, Optimization, and Application. CoRR (2024)
Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu
Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. DATE (2024)
Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
SnapKV: LLM Knows What You are Looking for Before Generation. CoRR (2024)
Tianle Cai, Yuhong Li, Zhengyang Geng, Hongwu Peng, Jason D. Lee, Deming Chen, Tri Dao
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads. CoRR (2024)
Deming Chen
RAW 2024 Monday Keynote. IPDPS (Workshops) (2024)
Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt
FedCore: Straggler-Free Federated Learning with Distributed Coresets. CoRR (2024)
Anand Ramachandran, Steven S. Lumetta, Deming Chen
PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning. PLoS Comput. Biol. 20 (1) (2024)
Sean Farhat, Deming Chen
On the Surprising Efficacy of Distillation as an Alternative to Pre-Training Small Models. CoRR (2024)
Hanchen Ye, HyeGang Jun, Deming Chen
HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. CoRR (2023)
Meghna Mandava, Deming Chen
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. FPGA (2023)
Wei Ren, William Kozlowski, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen
AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators. DAC (2023)
Deming Chen
Lightning Talk: The Next Wave of High-level Synthesis. DAC (2023)
Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-mei W. Hwu, Deming Chen, Sameh W. Asaad, Jian Huang
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. CoRR (2023)
Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Extensible and Efficient Proxy for Neural Architecture Search. ICCV (2023)
Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-Mei Hwu, Deming Chen, Sameh W. Asaad, Jian Huang
RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. SOSP (2023)
Daisuke Mashima, Yao Chen, Muhammad M. Roomi, Subhash Lakshminarayana, Deming Chen
Cybersecurity for Modern Smart Grid Against Emerging Threats. Found. Trends Priv. Secur. 5 (4) (2023)
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. CoRR (2023)
Luyang Yu, Yizhen Lu, Meghna Mandava, Edward Richter, Vikram Sharma Mailthody, Seungwon Min, Wen-Mei W. Hwu, Deming Chen
FSSD: FPGA-Based Emulator for SSDs. FPL (2023)
Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
What Makes Convolutional Models Great on Long Sequence Modeling? ICLR (2023)
HyeGang Jun, Hanchen Ye, Hyunmin Jeong, Deming Chen
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis. ACM Trans. Reconfigurable Technol. Syst. 16 (3) (2023)
Hanchen Ye, HyeGang Jun, Jin Yang, Deming Chen
High-level Synthesis for Domain Specific Computing. ISPD (2023)
Yizhen Lu, Luyang Yu, Deming Chen
SSDe: FPGA-Based SSD Express Emulation Framework. ICCAD (2023)
Meghna Mandava, Paul Reckamp, Deming Chen
Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization. ISCA (2023)
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. FPGA (2023)
Xiaofan Zhang, Yuhong Li, Junhao Pan, Deming Chen
Algorithm/Accelerator Co-Design and Co-Search for Edge AI. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. ASP-DAC (2022)
Philip C. Harris, Erik Katsavounidis, William Patrick McCormack, Dylan S. Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark S. Neubauer, Javier M. Duarte, Georgia Karagiorgi, Mia Liu
Physics Community Needs, Tools, and Resources for Machine Learning. CoRR (2022)
Edward Richter, Deming Chen
Qilin: Enabling Performance Analysis and Optimization of Shared-Virtual Memory Systems with FPGA Accelerators. ICCAD (2022)
Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang
AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. CoRR (2022)
Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (6) (2022)
Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen
ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. DAC (2022)
Yuhong Li, Jiajie Li, Cong Han, Pan Li, Jinjun Xiong, Deming Chen
Extensible Proxy for Efficient NAS. CoRR (2022)
Yuhong Li, Tianle Cai, Yi Zhang, Deming Chen, Debadeepta Dey
What Makes Convolutional Models Great on Long Sequence Modeling? CoRR (2022)
Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen
Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. CoRR (2022)
Junhao Pan, Zehua Yuan, Xiaofan Zhang, Deming Chen
YouHome System and Dataset: Making Your Home Know You Better. iSES (2022)
Jianwei Zheng, Yu Liu, Xuejiao Liu, Luhong Liang, Deming Chen, Kwang-Ting Cheng
ReAAP: A Reconfigurable and Algorithm-Oriented Array Processor With Compiler-Architecture Co-Design. IEEE Trans. Computers 71 (12) (2022)
Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt
BoFL: bayesian optimized local training pace control for energy efficient federated learning. Middleware (2022)
Xinyu Chen, Feng Cheng, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
ThunderGP: Resource-Efficient Graph Processing Framework on FPGAs with HLS. ACM Trans. Reconfigurable Technol. Syst. 15 (4) (2022)
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation. HPCA (2022)
Ashutosh Dhar, Edward Richter, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen
DML: Dynamic Partial Reconfiguration With Scalable Task Scheduling for Multi-Applications on FPGAs. IEEE Trans. Computers 71 (10) (2022)
Deming Chen
EDAML 2022 Invited Speaker 2: AI Algorithm and Accelerator Co-design for Computing on the Edge. IPDPS Workshops (2022)
Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. WACV (2022)
Deming Chen
Note from the TRETS EiC about the new Journal-first track in FPT'21. ACM Trans. Reconfigurable Technol. Syst. 15 (1) (2022)
Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation. 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)
Vibhakar Vemulapati, Deming Chen
FSLAM: an Efficient and Accurate SLAM Accelerator on SoC FPGAs. FPT (2022)
Wei Ren, Junhao Pan, Deming Chen
AccGuard: Secure and Trusted Computation on Remote FPGA Accelerators. iSES (2021)
Prakhar Ganesh, Xin Lou, Yao Chen, Rui Tan, David K. Y. Yau, Deming Chen, Marianne Winslett
Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems. IEEE Trans. Smart Grid 12 (4) (2021)
Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. FMCAD (2021)
Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search. CoRR (2021)
Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. 32 (7) (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. 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)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design. CoRR (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS. CoRR (2021)
Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. CoRR (2021)
Junhao Pan, Deming Chen
Accelerate Non-unit Stride Convolutions with Winograd Algorithms. ASP-DAC (2021)
Xinheng Liu, Yao Chen, Prakhar Ganesh, Junhao Pan, Jinjun Xiong, Deming Chen
HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. CoRR (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)
Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs. 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)
Jianwei Zheng, Chao Lu, Cong Hao, Deming Chen, Donghui Guo
Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition. IEEE Trans. Cogn. Dev. Syst. 13 (3) (2021)
Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign. IEEE Des. Test 38 (4) (2021)
Luca Benini, Deming Chen, Jinjun Xiong, Zhiru Zhang
Guest Editors' Introduction: Machine Intelligence at the Edge. IEEE Des. Test 38 (4) (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)
Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li
F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. DAC (2021)
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Generic Neural Architecture Search via Regression. NeurIPS (2021)
Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen
WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs. ASAP (2021)
Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. Trans. Assoc. Comput. Linguistics 9 (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)
Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC (2021)
Cheng Gong, Yao Chen, Ye Lu, Tao Li, Cong Hao, Deming Chen
VecQ: Minimal Loss DNN Model Compression With Vectorized Weight Quantization. IEEE Trans. Computers 70 (5) (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
ThunderGP: HLS-based Graph Processing Framework on FPGAs. FPGA (2021)
Hyunmin Jeong, Deming Chen
TwinDNN: A Tale of Two Deep Neural Networks. FCCM (2021)
Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. CoRR (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)
Cong Hao, Deming Chen
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. CoRR (2021)
Xinyu Chen, Hongshi Tan, Yao Chen, Bingsheng He, Weng-Fai Wong, Deming Chen
Skew-Oblivious Data Routing for Data Intensive Applications on FPGAs with HLS. DAC (2021)
Yuhong Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Generic Neural Architecture Search via Regression. CoRR (2021)
Xiaofan Zhang, Hanchen Ye, Deming Chen
Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. CoRR (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)
Anand Ramachandran, Steven S. Lumetta, Eric W. Klee, Deming Chen
HELLO: improved neural network architectures and methodologies for small variant calling. BMC Bioinform. 22 (1) (2021)
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations. FPGA (2021)
Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen
ScaleHLS: Scalable High-Level Synthesis through MLIR. CoRR (2021)
Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. CoRR (2021)
Hyunmin Jeong, Deming Chen
TwinDNN: A Tale of Two Deep Neural Networks. ASAP (2021)
Cong Hao, Deming Chen
Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems. AICAS (2021)
Yao Chen, Xin Long, Jiong He, Yuhang Chen, Hongshi Tan, Zhenxiang Zhang, Marianne Winslett, Deming Chen
HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy. CoRR (2020)
Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. DAC (2020)
Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei W. Hwu, Deming Chen
DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. CoRR (2020)
Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA (2020)
Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Deming Chen