Weiwen Jiang - RankMe

172 papers A* 14A 14B 5C 6Misc 13Journal 87Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Performance Bounds Prediction in Quantum Computing With Unstable Noise. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jinyang Li, Samudra Dasgupta, Yuhong Song, Lei Yang, Travis S. Humble, Weiwen Jiang
2025	J	`jnl`	A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices. CoRR Yuqi Zhang, Yuxin Yang, Feixiong Chen, Cheng-Chang Lu, Nima Saeidi, Samuel L. Volchenboum, Junhan Zhao, Siwei Chen, Weiwen Jiang, Qiang Guan
2025	J	`jnl`	An End-to-End Distributed Quantum Circuit Simulator. CoRR Sen Zhang, Lingjun Xiong, Yipie Liu, Brian L. Mark, Lei Yang, Zebo Yang, Weiwen Jiang
2025	J	`jnl`	Computational Performance Bounds Prediction in Quantum Computing with Unstable Noise. CoRR Jinyang Li, Samudra Dasgupta, Yuhong Song, Lei Yang, Travis S. Humble, Weiwen Jiang
2025	J	`jnl`	Dependable classical-quantum computing systems engineering. Frontiers Comput. Sci. Edoardo Giusto, Santiago Núñez-Corrales, Kaitlin N. Smith, Phuong Cao, Ed Younis, Paolo Rech, Flavio Vella, Betis Baheri, Alessandro Cilardo, Bartolomeo Montrucchio, Weiwen Jiang, Shuai Xu, Samudra Dasgupta, Ravishankar K. Iyer, Travis S. Humble
2025	J	`jnl`	Prediction of Protein Three-dimensional Structures via a Hardware-Executable Quantum Computing Framework. CoRR Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng-Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng
2025	J	`jnl`	QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers. CoRR Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025	A	`conf`	QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers. SC Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan
2025	J	`jnl`	QuSplit: Achieving Both High Fidelity and Throughput via Job Splitting on Noisy Quantum Computers. CoRR Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis S. Humble, Weiwen Jiang
2025	J	`jnl`	QuSplit: achieving both high fidelity and throughput via job splitting on noisy quantum computers. Quantum Mach. Intell. Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis S. Humble, Weiwen Jiang
2024	J	`jnl`	A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. CoRR Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024	—	`conf`	APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. MICCAI (7) Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang
2024	J	`jnl`	APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. CoRR Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang
2024	J	`jnl`	All-in-One Tuning and Structural Pruning for Domain-Specific LLMs. CoRR Lei Lu, Zhepeng Wang, Runxue Bao, Mengbing Wang, Fangyi Li, Yawen Wu, Weiwen Jiang, Jie Xu, Yanzhi Wang, Shangqian Gao
2024	—	`conf`	Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. MICCAI (10) Yi Sheng, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang
2024	J	`jnl`	Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. CoRR Yi Sheng, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang
2024	J	`jnl`	Dependable Classical-Quantum Computer Systems Engineering. CoRR Edoardo Giusto, Santiago Núñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K. Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S. Humble
2024	Misc	`conf`	Efficient Circuit Wire Cutting Based on Commuting Groups. QCE Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen, Qiang Guan, Weiwen Jiang, Ning Xie, Shuai Xu, Vipin Chaudhary
2024	J	`jnl`	Efficient Circuit Wire Cutting Based on Commuting Groups. CoRR Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen, Qiang Guan, Weiwen Jiang, Ning Xie, Shuai Xu, Vipin Chaudhary
2024	—	`conf`	GPU Partitioning & Neural Architecture Sizing for Safety-Driven Sensing in Autonomous Systems. ICAA Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Tingan Zhu, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty
2024	Misc	`conf`	PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. QCE Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan
2024	—	`conf`	Poster Abstract: Neural Architecture Sizing for Autonomous Systems. ICCPS Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty
2024	—	`conf`	PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud. ISVLSI Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang
2024	J	`jnl`	PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud. CoRR Zhepeng Wang, Yi Sheng, Nirajan Koirala, Kanad Basu, Taeho Jung, Cheng-Chang Lu, Weiwen Jiang
2024	Misc	`conf`	QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit. ICASSP Jinyang Li, Ang Li, Weiwen Jiang
2024	A*	`conf`	QuGeo: An End-to-end Quantum Learning Framework for Geoscience - A Case Study on Full-Waveform Inversion. DAC Weiwen Jiang, Youzuo Lin
2024	—	`conf`	Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. MICCAI (2) Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang
2024	—	`conf`	Toward Fair Ultrasound Computing Tomography: Challenges, Solutions and Outlook. ACM Great Lakes Symposium on VLSI Yi Sheng, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang
2024	Misc	`conf`	Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations. QCE Muralikrishnan Gopalakrishnan Meena, Yu Zhang, Weiwen Jiang, Youzuo Lin, Stefanie Günther, Xinfeng Gao
2024	Misc	`conf`	Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems. CODES+ISSS Yi Sheng, Junhuan Yang, Hanchen Wang, Yinan Feng, Yinpeng Chen, Xiaolong Guo, Youzuo Lin, Weiwen Jiang, Lei Yang
2024	A*	`conf`	Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. EMNLP Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2024	J	`jnl`	Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. CoRR Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang
2023	J	`jnl`	: A isualization pproah for Noie Awarenss in Quatum Computing. IEEE Trans. Vis. Comput. Graph. Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2023	Misc	`conf`	A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. QCE Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
2023	J	`jnl`	A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. CoRR Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang
2023	A*	`conf`	Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. DAC Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang
2023	—	`conf`	Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. IGSC Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang
2023	J	`jnl`	Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices. CoRR Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin
2023	A*	`conf`	Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. DAC Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang
2023	J	`jnl`	Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. CoRR Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang
2023	A*	`conf`	On-Device Unsupervised Image Segmentation. DAC Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang
2023	J	`jnl`	On-Device Unsupervised Image Segmentation. CoRR Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang
2023	Misc	`conf`	QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. QCE Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang
2023	J	`jnl`	QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. CoRR Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang
2023	—	`conf`	Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space. ASP-DAC Qing Lu, Weiwen Jiang, Xiaowei Xu, Jingtong Hu, Yiyu Shi
2023	Misc	`conf`	Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration. QCE Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis S. Humble, Weiwen Jiang
2023	—	`conf`	Toward Fair and Efficient Hyperdimensional Computing. ASP-DAC Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang
2023	Misc	`conf`	Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. QCE Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan
2023	J	`jnl`	VENUS: A Geometrical Representation for Quantum State Visualization. CoRR Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan
2022	J	`jnl`	A Collaboration Strategy in the Mining Pool for Proof-of-Neural-Architecture Consensus. CoRR Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
2022	J	`jnl`	A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A*	`conf`	A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
2022	A	`conf`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. ICCAD Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022	J	`jnl`	All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. CoRR Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang
2022	J	`jnl`	Automated Architecture Search for Brain-inspired Hyperdimensional Computing. CoRR Junhuan Yang, Yi Sheng, Sizhe Zhang, Ruixuan Wang, Kenneth W. Foreman, Mikell Paige, Xun Jiao, Weiwen Jiang, Lei Yang
2022	—	`conf`	Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. ISVLSI Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
2022	—	`conf`	Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs. ISVLSI Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Yiyu Shi
2022	C	`conf`	Iterative Qubits Management for Quantum Index Searching in a Hybrid System. IPCCC Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022	J	`jnl`	Iterative Qubits Management for Quantum Index Searching in a Hybrid System. CoRR Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
2022	J	`jnl`	Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. ACM Trans. Embed. Comput. Syst. Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2022	C	`conf`	On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. ICCD Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang
2022	—	`conf`	One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. SIGMETRICS (Abstracts) Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
2022	J	`jnl`	QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han
2022	A	`conf`	Quantum Neural Network Compression. ICCAD Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
2022	J	`jnl`	Quantum Neural Network Compression. CoRR Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
2022	—	`conf`	RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. ASP-DAC Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
2022	J	`jnl`	Seismic Waveform Inversion Capability on Resource-Constrained Edge Devices. J. Imaging Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang
2022	J	`jnl`	The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. CoRR Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang
2022	A*	`conf`	The larger the fairer?: small neural networks can achieve fairness for edge devices. DAC Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang
2022	A	`conf`	TorchQuantum Case Study for Robust Quantum Circuits. ICCAD Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
2022	C	`conf`	Towards Real-Time Temporal Graph Learning. ICCD Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022	J	`jnl`	Towards Real-Time Temporal Graph Learning. CoRR Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
2022	C	`conf`	Towards Sparsification of Graph Neural Networks. ICCD Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022	J	`jnl`	Towards Sparsification of Graph Neural Networks. CoRR Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding
2022	J	`jnl`	VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing. CoRR Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
2022	Misc	`conf`	Variational Quantum Pulse Learning. QCE Zhiding Liang, Hanrui Wang, Jinglei Cheng, Yongshan Ding, Hang Ren, Zhengqi Gao, Zhirui Hu, Duane S. Boning, Xuehai Qian, Song Han, Weiwen Jiang, Yiyu Shi
2021	A*	`conf`	A Compression-Compilation Framework for On-mobile Real-time BERT Applications. IJCAI Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021	J	`jnl`	A Compression-Compilation Framework for On-mobile Real-time BERT Applications. CoRR Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021	—	`conf`	A mining pool solution for novel proof-of-neural-architecture consensus. IEEE ICBC Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
2021	—	`conf`	Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
2021	A	`conf`	Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). ICCAD Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang
2021	J	`jnl`	Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. CoRR Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
2021	J	`jnl`	Contour: A Process Variation Aware Wear-Leveling Mechanism for Inodes of Persistent Memory File Systems. IEEE Trans. Computers Xianzhang Chen, Edwin H.-M. Sha, Xinxin Wang, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge
2021	A	`conf`	DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. ISLPED Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2021	A*	`conf`	Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. DAC Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding
2021	J	`jnl`	Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. CoRR Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding
2021	J	`jnl`	Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
2021	J	`jnl`	Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. IEEE Trans. Computers Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
2021	J	`jnl`	Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. CoRR Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Jinjun Xiong, Yiyu Shi, Weiwen Jiang
2021	A	`conf`	Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). ICCAD Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang
2021	A	`conf`	FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
2021	J	`jnl`	On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints. IEEE Trans. Emerg. Top. Comput. Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Hailiang Dong, Xianzhang Chen
2021	J	`jnl`	One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. CoRR Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
2021	J	`jnl`	One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. Proc. ACM Meas. Anal. Comput. Syst. Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren
2021	A	`conf`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021	J	`jnl`	Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
2021	A*	`conf`	Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. DAC Song Bian, Weiwen Jiang, Takashi Sato
2021	J	`jnl`	RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. CoRR Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
2021	A*	`conf`	RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. ICCV Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021	J	`jnl`	RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin
2021	—	`conf`	When Machine Learning Meets Quantum Computers: A Case Study. ASP-DAC Weiwen Jiang, Jinjun Xiong, Yiyu Shi
2021	A	`conf`	Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. RTAS Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2020	C	`conf`	Achieving Full Parallelism in LSTM via a Unified Accelerator Design. ICCD Xinyi Zhang, Weiwen Jiang, Jingtong Hu
2020	J	`jnl`	Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. CoRR Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2020	—	`conf`	BUNET: Blind Medical Image Segmentation Based on Secure UNET. MICCAI (2) Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
2020	J	`jnl`	BUNET: Blind Medical Image Segmentation Based on Secure UNET. CoRR Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato
2020	J	`jnl`	Can Quantum Computers Learn Like Classical Computers? A Co-Design Framework for Machine Learning and Quantum Circuits. CoRR Weiwen Jiang, Jinjun Xiong, Yiyu Shi
2020	A*	`conf`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	J	`jnl`	Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020	—	`conf`	Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence. ASP-DAC Lei Yang, Weiwen Jiang, Weichen Liu, Edwin H.-M. Sha, Yiyu Shi, Jingtong Hu
2020	J	`jnl`	DNA: Differentiable Network-Accelerator Co-Search. CoRR Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin
2020	J	`jnl`	Hardware/Software Co-Exploration of Neural Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Sakyasingha Dasgupta, Yiyu Shi, Jingtong Hu
2020	J	`jnl`	MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation. CoRR Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo
2020	—	`conf`	MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation. MICCAI (1) Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo
2020	J	`jnl`	MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework. CoRR Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Runbin Shi, Xue Lin, Yanzhi Wang
2020	A	`conf`	NASS: Optimizing Secure Inference via Neural Architecture Search. ECAI Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato
2020	J	`jnl`	NASS: Optimizing Secure Inference via Neural Architecture Search. CoRR Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato
2020	J	`jnl`	Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi
2020	J	`jnl`	Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start. CoRR Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi
2020	A	`conf`	Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. ICCAD Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi
2020	J	`jnl`	Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. CoRR Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi
2020	J	`jnl`	Towards the design of efficient hash-based indexing scheme for growing databases on non-volatile memory. Future Gener. Comput. Syst. Zhulin Ma, Edwin H.-M. Sha, Qingfeng Zhuge, Weiwen Jiang, Runyu Zhang, Shouzhen Gu
2020	J	`jnl`	When Machine Learning Meets Quantum Computers: A Case Study. CoRR Weiwen Jiang, Jinjun Xiong, Yiyu Shi
2019	A*	`conf`	Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. DAC Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. CoRR Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. CoRR Weiwen Jiang, Edwin Hsing-Mean Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. ACM Trans. Embed. Comput. Syst. Weiwen Jiang, Edwin H.-M. Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. CoRR Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi
2019	J	`jnl`	Hardware/Software Co-Exploration of Neural Architectures. CoRR Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	On Neural Architecture Search for Resource-Constrained Hardware Platforms. CoRR Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu
2019	J	`jnl`	On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu
2019	—	`conf`	When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design. ISVLSI Xinyi Zhang, Weiwen Jiang, Yiyu Shi, Jingtong Hu
2019	A	`conf`	XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI. FPGA Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Yiyu Shi, Jingtong Hu
2018	A	`conf`	Efficient wear leveling for inodes of file systems on persistent memories. DATE Xianzhang Chen, Edwin Hsing-Mean Sha, Yuansong Zeng, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge
2018	J	`jnl`	Heterogeneous FPGA-Based Cost-Optimal Design for Timing-Constrained CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu
2018	—	`conf`	On the Design of Reliable Heterogeneous Systems via Checkpoint Placement and Core Assignment. ACM Great Lakes Symposium on VLSI Edwin Hsing-Mean Sha, Hailiang Dong, Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang
2018	J	`jnl`	Synthesizing distributed pipelining systems with timing constraints via optimal functional unit assignment and communication selection. J. Comput. Sci. Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Lin Wu, Qingfeng Zhuge
2018	J	`jnl`	Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip. IEEE Trans. Computers Weichen Liu, Lei Yang, Weiwen Jiang, Liang Feng, Nan Guan, Wei Zhang, Nikil D. Dutt
2018	J	`jnl`	Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory. IEEE Trans. Computers Edwin Hsing-Mean Sha, Weiwen Jiang, Hailiang Dong, Zhulin Ma, Runyu Zhang, Xianzhang Chen, Qingfeng Zhuge
2018	J	`jnl`	UMFS: An efficient user-space file system for non-volatile memory. J. Syst. Archit. Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Ting Wu, Weiwen Jiang, Xiaoping Zeng, Lin Wu
2017	Misc	`conf`	Communication optimization for thermal reliable many-core systems: work-in-progress. CODES+ISSS Weichen Liu, Lei Yang, Weiwen Jiang, Nan Guan
2017	J	`jnl`	Efficient assignment algorithms to minimize operation cost for supply chain networks in agile manufacturing. Comput. Ind. Eng. Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lin Wu
2017	J	`jnl`	FoToNoC: A Folded Torus-Like Network-on-Chip Based Many-Core Systems-on-Chip in the Dark Silicon Era. IEEE Trans. Parallel Distributed Syst. Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Peng Chen, Edwin Hsing-Mean Sha
2017	J	`jnl`	Hardware-software collaboration for dark silicon heterogeneous many-core systems. Future Gener. Comput. Syst. Lei Yang, Weichen Liu, Weiwen Jiang, Chao Chen, Mengquan Li, Peng Chen, Edwin Hsing-Mean Sha
2017	J	`jnl`	Optimal Functional-Unit Assignment for Heterogeneous Systems Under Timing Constraint. IEEE Trans. Parallel Distributed Syst. Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Lei Yang, Lei Zhou, Qingfeng Zhuge
2017	B	`conf`	Optimal functional unit assignment and voltage selection for pipelined MPSoC with guaranteed probability on time performance. LCTES Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Hailiang Dong, Xianzhang Chen
2017	J	`jnl`	Refinery swap: An efficient swap mechanism for hybrid DRAM-NVM systems. Future Gener. Comput. Syst. Xianzhang Chen, Edwin Hsing-Mean Sha, Weiwen Jiang, Chaoshu Yang, Ting Wu, Qingfeng Zhuge
2017	B	`conf`	Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads. RTCSA Hailiang Dong, Edwin Hsing-Mean Sha, Weiwen Jiang, Xianzhang Chen, Runyu Zhang, Qingfeng Zhuge
2017	—	`conf`	UDORN: A design framework of persistent in-memory key-value database for NVM. NVMSA Xianzhang Chen, Edwin Hsing-Mean Sha, Ahmad Abdullah, Qingfeng Zhuge, Lin Wu, Chaoshu Yang, Weiwen Jiang
2016	J	`jnl`	A New Design of In-Memory File System Based on File Virtual Address Framework. IEEE Trans. Computers Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, Weiwen Jiang
2016	J	`jnl`	A unified framework for designing high performance in-memory and hybrid memory file systems. J. Syst. Archit. Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Weiwen Jiang, Junxi Chen, Jun Chen, Jun Xu
2016	J	`jnl`	Application Mapping and Scheduling for Network-on-Chip-Based Multiprocessor System-on-Chip With Fine-Grain Communication Optimization. IEEE Trans. Very Large Scale Integr. Syst. Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Juan Yi, Edwin Hsing-Mean Sha
2016	J	`jnl`	Efficient Data Placement for Improving Data Access Performance on Domain-Wall Memory. IEEE Trans. Very Large Scale Integr. Syst. Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Chun Jason Xue, Weiwen Jiang, Yuangang Wang
2016	—	`conf`	FoToNoC: A hierarchical management strategy based on folded lorus-like Network-on-Chip for dark silicon many-core systems. ASP-DAC Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Juan Yi, Edwin Hsing-Mean Sha
2016	—	`conf`	Optimal Functional Assignment and Communication Selection under Timing Constraint for Self-Timed Pipelines. ICESS Weiwen Jiang, Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Lin Wu
2016	Misc	`conf`	Optimal functional-unit assignment and buffer placement for probabilistic pipelines. CODES+ISSS Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Xianzhang Chen
2016	B	`conf`	Optimizing Data Placement of MapReduce on Ceph-Based Framework under Load-Balancing Constraint. ICPADS Edwin Hsing-Mean Sha, Yutong Liang, Weiwen Jiang, Xianzhang Chen, Qingfeng Zhuge
2016	C	`conf`	Performance Optimization for In-Memory File Systems on NUMA Machines. PDCAT Zhixiang Liu, Edwin Hsing-Mean Sha, Xianzhang Chen, Weiwen Jiang, Qingfeng Zhuge
2016	J	`jnl`	Properties of Self-Timed Ring Architectures for Deadlock-Free and Consistent Configuration Reaching Maximum Throughput. J. Signal Process. Syst. Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang, Juan Yi, Edwin Hsing-Mean Sha
2016	—	`conf`	The Design and Implementation of a High-Performance Hybrid Memory File System. CBD Edwin Hsing-Mean Sha, Jun Chen, Xianzhang Chen, Weiwen Jiang, Qingfeng Zhuge
2016	—	`conf`	The Design and Implementation of an Efficient Data Consistency Mechanism for In-Memory File Systems. ICESS Xianzhang Chen, Edwin Hsing-Mean Sha, Zhilong Sun, Qingfeng Zhuge, Weiwen Jiang
2016	—	`conf`	The design and implementation of an efficient user-space in-memory file system. NVMSA Edwin Hsing-Mean Sha, Yang Jia, Xianzhang Chen, Qingfeng Zhuge, Weiwen Jiang, Jiejie Qin
2016	Misc	`conf`	The design of an efficient swap mechanism for hybrid DRAM-NVM systems. EMSOFT Xianzhang Chen, Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Junxi Chen, Jiejie Qin, Yuansong Zeng
2015	—	`conf`	Designing an efficient persistent in-memory file system. NVMSA Edwin Hsing-Mean Sha, Xianzhang Chen, Qingfeng Zhuge, Liang Shi, Weiwen Jiang
2015	—	`conf`	On the Design of High-Performance and Energy-Efficient Probabilistic Self-Timed Systems. HPCC/CSS/ICESS Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Lei Yang, Xianzhang Chen
2015	A*	`conf`	Optimizing data placement for reducing shift operations on domain wall memories. DAC Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang
2015	—	`conf`	Prevent Deadlock and Remove Blocking for Self-Timed Systems. ICA3PP (1) Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang
2015	—	`conf`	Traffic-Aware Application Mapping for Network-on-Chip Based Multiprocessor System-on-Chip. HPCC/CSS/ICESS Lei Yang, Weichen Liu, Weiwen Jiang, Wei Zhang, Mengquan Li, Juan Yi, Duo Liu, Edwin Hsing-Mean Sha
2014	—	`conf`	An Improved Thermal Model for Static Optimization of Application Mapping and Scheduling in Multiprocessor System-on-Chip. ISVLSI Juan Yi, Weichen Liu, Weiwen Jiang, Mingwen Qin, Lei Yang, Duo Liu, Chunming Xiao, Luelue Du, Edwin Hsing-Mean Sha
2014	B	`conf`	Contention-aware task and communication co-scheduling for network-on-chip based Multiprocessor System-on-Chip. RTCSA Lei Yang, Weichen Liu, Weiwen Jiang, Juan Yi, Duo Liu, Qingfeng Zhuge
2014	B	`conf`	On self-timed ring for consistent mapping and maximum throughput. RTCSA Weiwen Jiang, Qingfeng Zhuge, Juan Yi, Lei Yang, Edwin Hsing-Mean Sha
2013	J	`jnl`	Effective file data-block placement for different types of page cache on hybrid main memory architectures. Des. Autom. Embed. Syst. Penglin Dai, Qingfeng Zhuge, Xianzhang Chen, Weiwen Jiang, Edwin Hsing-Mean Sha