Fan Chen - RankMe

65 papers A* 6A 12B 3C 1Misc 9Journal 19Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices. AAAI Zhenxiao Fu, Fan Chen, Lei Jiang
2025	J	`jnl`	CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices. CoRR Zhenxiao Fu, Fan Chen, Lei Jiang
2025	B	`conf`	CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. IJCNN Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen
2025	J	`jnl`	CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise. CoRR Zhenxiao Fu, Leyi Zhao, Xuhong Zhang, Yilun Xu, Gang Huang, Fan Chen
2025	Misc	`conf`	LSTM-QGAN: Scalable NISQ Generative Adversarial Network. ICASSP Cheng Chu, Aishwarya Hastak, Fan Chen
2025	—	`ed.`	Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025 - 2 July 2025 ACM Great Lakes Symposium on VLSI Lu Peng, Boris Vaisband, Fan Chen, Peipei Zhou, Shahar Kvatinsky, Jiafeng Xie
2025	J	`jnl`	QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming. CoRR Zhenxiao Fu, Fan Chen, Lei Jiang
2025	—	`conf`	Quantum Neural Network Extraction Attack via Split Co-Teaching. ICASSP Workshops Zhenxiao Fu, Fan Chen
2025	J	`jnl`	VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers. CoRR Chi Zhang, Mengxin Zheng, Qian Lou, Hui Min Leung, Fan Chen
2024	J	`jnl`	IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning. CoRR Ahmad Faiz, Shahzeen Attari, Gayle Buck, Fan Chen, Lei Jiang
2024	B	`conf`	JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. ASPDAC Ruhan Wang, Fahiz Baba-Yara, Fan Chen
2024	J	`jnl`	JustQ: Automated Deployment of Fair and Accurate Quantum Neural Networks. CoRR Ruhan Wang, Fahiz Baba-Yara, Fan Chen
2024	J	`jnl`	LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences. CoRR Zhenxiao Fu, Fan Chen, Shan Zhou, Haitong Li, Lei Jiang
2024	A*	`conf`	LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models. ICLR Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Prateek Sharma, Fan Chen, Lei Jiang
2024	A*	`conf`	Late Breaking Results: Extracting QNNs from NISQ Computers via Ensemble Learning. DAC Zhenxiao Fu, Fan Chen
2024	Misc	`conf`	Posters Program: 2024 IEEE International Conference on Quantum Computing and Engineering. QCE Fan Chen, Huiyang Zhou
2024	B	`conf`	QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. IJCNN Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
2024	J	`jnl`	QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. CoRR Zhenxiao Fu, Min Yang, Cheng Chu, Yilun Xu, Gang Huang, Fan Chen
2024	Misc	`conf`	Special Session: End-To-End Carbon Footprint Assessment and Modeling of Deep Learning. CODES+ISSS Ahmad Faiz, Lei Jiang, Fan Chen
2024	—	`conf`	System Support for Environmentally Sustainable Computing in Data Centers. ISVLSI Fan Chen
2024	J	`jnl`	TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. CoRR Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
2024	A*	`conf`	TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer. DAC Cheng Chu, Zhenxiao Fu, Yilun Xu, Gang Huang, Hausi A. Müller, Fan Chen, Lei Jiang
2023	Misc	`conf`	CryptoQFL: Quantum Federated Learning on Encrypted Data. QCE Cheng Chu, Lei Jiang, Fan Chen
2023	J	`jnl`	CryptoQFL: Quantum Federated Learning on Encrypted Data. CoRR Cheng Chu, Lei Jiang, Fan Chen
2023	Misc	`conf`	IQGAN: Robust Quantum Generative Adversarial Network for Image Synthesis On NISQ Devices. ICASSP Cheng Chu, Grant Skipper, Martin Swany, Fan Chen
2023	J	`jnl`	LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models. CoRR Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Parteek Sharma, Fan Chen, Lei Jiang
2023	—	`conf`	PriML: An Electro-Optical Accelerator for Private Machine Learning on Encrypted Data. ISQED Mengxin Zheng, Fan Chen, Lei Jiang, Qian Lou
2023	Misc	`conf`	QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. QCE Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang
2023	J	`jnl`	QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. CoRR Cheng Chu, Fan Chen, Philip Richerme, Lei Jiang
2023	Misc	`conf`	QTROJAN: A Circuit Backdoor Against Quantum Neural Networks. ICASSP Cheng Chu, Lei Jiang, Martin Swany, Fan Chen
2023	J	`jnl`	QTrojan: A Circuit Backdoor Against Quantum Neural Networks. CoRR Cheng Chu, Lei Jiang, Martin Swany, Fan Chen
2023	A	`conf`	ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC Linghao Song, Fan Chen, Hai Li, Yiran Chen
2023	J	`jnl`	Sky-Sorter: A Processing-in-Memory Architecture for Large-Scale Sorting. IEEE Trans. Computers Farzaneh Zokaee, Fan Chen, Guangyu Sun, Lei Jiang
2022	A	`conf`	Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator. ISLPED Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
2022	—	`conf`	CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. NANOARCH Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu
2022	J	`jnl`	CryptoLight: An Electro-Optical Accelerator for Fully Homomorphic Encryption. CoRR Mengxin Zheng, Qian Lou, Fan Chen, Lei Jiang, Yongxin Zhu
2022	—	`conf`	MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D. ACM Great Lakes Symposium on VLSI Samuel J. Engers, Cheng Chu, Dawen Xu, Ying Wang, Fan Chen
2022	A	`conf`	QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. ISLPED Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen
2022	J	`jnl`	QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. CoRR Cheng Chu, Nai-Hui Chia, Lei Jiang, Fan Chen
2021	—	`conf`	FeFET-based Process-in-Memory Architecture for Low-Power DNN Training. NANOARCH Farzaneh Zokaee, Bing Li, Fan Chen
2021	A	`conf`	Marvel: A Vertical Resistive Accelerator for Low-Power Deep Learning Inference in Monolithic 3D. DATE Fan Chen, Linghao Song, Hai Li, Yiran Chen
2021	A	`conf`	PUFFIN: An Efficient DNN Training Accelerator for Direct Feedback Alignment in FeFET. ISLPED Fan Chen
2021	A	`conf`	RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. DATE Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2021	—	`conf`	RECOIN: A Low-Power Processing-in-ReRAM Architecture for Deformable Convolution. ACM Great Lakes Symposium on VLSI Cheng Chu, Fan Chen, Dawen Xu, Ying Wang
2021	A	`conf`	Rerec: In-ReRAM Acceleration with Access-Aware Mapping for Personalized Recommendation. ICCAD Yitu Wang, Zhenhua Zhu, Fan Chen, Mingyuan Ma, Guohao Dai, Yu Wang, Hai Li, Yiran Chen
2020	A*	`conf`	AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators. HPCA Linghao Song, Fan Chen, Youwei Zhuo, Xuehai Qian, Hai Li, Yiran Chen
2020	—	`—`	In-Memory Computing Architecture for Deep Learning Acceleration. Fan Chen
2020	J	`jnl`	Low-Cost Floating-Point Processing in ReRAM for Scientific Computing. CoRR Linghao Song, Fan Chen, Xuehai Qian, Hai Li, Yiran Chen
2020	—	`conf`	PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. ASP-DAC Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2020	—	`conf`	Parallelism in Deep Learning Accelerators. ASP-DAC Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li
2020	A	`conf`	ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. DATE Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen
2019	J	`jnl`	Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	Misc	`conf`	Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	—	`conf`	Efficient Process-in-Memory Architecture Design for Unsupervised GAN-based Deep Learning using ReRAM. ACM Great Lakes Symposium on VLSI Fan Chen, Linghao Song, Hai (Helen) Li
2019	—	`conf`	Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. EMC2@NeurIPS Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
2019	J	`jnl`	Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
2019	A	`conf`	How to Obtain and Run Light and Efficient Deep Learning Networks. ICCAD Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen
2019	Misc	`conf`	Taming extreme heterogeneity via machine learning based design of autonomous manycore systems. CODES+ISSS Paul Bogdan, Fan Chen, Aryan Deshwal, Janardhan Rao Doppa, Biresh Kumar Joardar, Hai (Helen) Li, Shahin Nazarian, Linghao Song, Yao Xiao
2019	A*	`conf`	ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. DAC Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen
2018	C	`conf`	Design and Data Management for Magnetic Racetrack Memory. ISCAS Bing Li, Fan Chen, Wang Kang, Weisheng Zhao, Yiran Chen, Hai Li
2018	A	`conf`	EMAT: an efficient multi-task architecture for transfer learning using ReRAM. ICCAD Fan Chen, Hai Li
2018	A	`conf`	Exploring the opportunity of implementing neuromorphic computing systems with spintronic devices. DATE Bonan Yan, Fan Chen, Yaojun Zhang, Chang Song, Hai Li, Yiran Chen
2018	—	`conf`	Process variation aware data management for magnetic skyrmions racetrack memory. ASP-DAC Fan Chen, Zheng Li, Wang Kang, Weisheng Zhao, Hai Li, Yiran Chen
2018	—	`conf`	ReGAN: A pipelined ReRAM-based accelerator for generative adversarial networks. ASP-DAC Fan Chen, Linghao Song, Yiran Chen
2018	A	`conf`	ReRAM-based accelerator for deep learning. DATE Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li