Fan Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Pairwise Interactions

Image Synthesis

Top Venues

Publications

Ahmad Faiz, Shahzeen Attari, Gayle Buck, Fan Chen, Lei Jiang
IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning. CoRR (2024)
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Prateek Sharma, Fan Chen, Lei Jiang
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models. ICLR (2024)
Ruhan Wang, Fahiz Baba-Yara, Fan Chen
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. CoRR (2024)
Ruhan Wang, Fahiz Baba-Yara, Fan Chen
JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. ASPDAC (2024)
Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. CoRR (2024)
Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. CoRR (2024)
Cheng Chu, Lei Jiang, Martin Swany, Fan Chen
QTROJAN: A Circuit Backdoor Against Quantum Neural Networks. ICASSP (2023)
Cheng Chu, Grant Skipper, Martin Swany, Fan Chen
IQGAN: Robust Quantum Generative Adversarial Network for Image Synthesis On NISQ Devices. ICASSP (2023)
Linghao Song, Fan Chen, Hai Li, Yiran Chen
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC (2023)
Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. CoRR (2023)
Cheng Chu, Lei Jiang, Fan Chen
CryptoQFL: Quantum Federated Learning on Encrypted Data. CoRR (2023)
Cheng Chu, Lei Jiang, Fan Chen
CryptoQFL: Quantum Federated Learning on Encrypted Data. QCE (2023)
Farzaneh Zokaee, Fan Chen, Guangyu Sun, Lei Jiang
Sky-Sorter: A Processing-in-Memory Architecture for Large-Scale Sorting. IEEE Trans. Computers 72 (2) (2023)
Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang
QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. QCE (2023)
Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator. ISLPED (2022)
Samuel J. Engers, Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D. ACM Great Lakes Symposium on VLSI (2022)
Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. ISLPED (2022)
Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen
QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. CoRR (2022)
Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li
Parallelism in Deep Learning Accelerators. ASP-DAC (2020)
Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA (2020)
Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR (2020)
Yitu Wang, Fan Chen, Linghao Song, C.-J. Richard Shi, Hai Helen Li, Yiran Chen
ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE (2020)
Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC (2020)
Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS (2019)
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. EMC2@NeurIPS (2019)
Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR (2019)
Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC (2019)
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR (2019)
Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen
How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD (2019)
Fan Chen, Linghao Song, Hai (Helen) Li
Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. ACM Great Lakes Symposium on VLSI (2019)
Fan Chen, Linghao Song, Yiran Chen
ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC (2018)
Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li
Design and Data Management for Magnetic Racetrack Memory. ISCAS (2018)
Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li
ReRAM-based accelerator for deep learning. DATE (2018)
Bonan Yan, Fan Chen, Yaojun Zhang, Chang Song, Hai Li, Yiran Chen
Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices. DATE (2018)
Fan Chen, Hai Li
EMAT: an efficient multi-task architecture for transfer learning using ReRAM. ICCAD (2018)
Fan Chen, Zheng Li, Wang Kang, Weisheng Zhao, Hai Li, Yiran Chen
Process variation aware data management for magnetic skyrmions racetrack memory. ASP-DAC (2018)