Weiwen Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
63
Venues
24
Active years
2014–2025
Best venue rank
A*
Where they publish
- A*DAC11 papers
- NationalQCE8 papers
- AICCAD8 papers
- BASPDAC6 papers
- AMICCAI5 papers
- CICCD4 papers
- BRTCSA3 papers
- CHPCC2 papers
- ASC1 paper
- A*EMNLP1 paper
- MulticonferenceICASSP1 paper
- CIPCCC1 paper
- A*SIGMETRICS1 paper
- A*ICCV1 paper
- A*IJCAI1 paper
- AISLPED1 paper
- ARTAS1 paper
- AECAI1 paper
- AFPGA1 paper
- ADATE1 paper
- Journal PublishedEMSOFT1 paper
- BICPADS1 paper
- CPDCAT1 paper
- CICA3PP1 paper
Papers
63 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | QDockBank: A dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers. | Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan |
| 2024 | DAC | QuGeo: An End-to-end Quantum Learning Framework for Geoscience - A Case Study on Full-Waveform Inversion. | Weiwen Jiang, Youzuo Lin |
| 2024 | EMNLP | Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. | Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang |
| 2024 | ICASSP | QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit. | Jinyang Li, Ang Li, Weiwen Jiang |
| 2024 | MICCAI | APS-USCT: Ultrasound Computed Tomography on Sparse Data via AI-Physic Synergy. | Yi Sheng, Hanchen Wang, Yipei Liu, Junhuan Yang, Weiwen Jiang, Youzuo Lin, Lei Yang |
| 2024 | MICCAI | Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset. | Yi Sheng, Junhuan Yang, Jinyang Li, James Alaina, Xiaowei Xu, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang |
| 2024 | MICCAI | Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. | Zhepeng Wang, Runxue Bao, Yawen Wu, Guodong Liu, Lei Yang, Liang Zhan, Feng Zheng, Weiwen Jiang, Yanfu Zhang |
| 2024 | QCE | Efficient Circuit Wire Cutting Based on Commuting Groups. | Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen, Qiang Guan, Weiwen Jiang, Ning Xie, Shuai Xu, Vipin Chaudhary |
| 2024 | QCE | Towards a Quantum Algorithm for the Incompressible Nonlinear Navier-Stokes Equations. | Muralikrishnan Gopalakrishnan Meena, Yu Zhang, Weiwen Jiang, Youzuo Lin, Stefanie Gnther, Xinfeng Gao |
| 2024 | QCE | PQML: Enabling the Predictive Reproducibility on NISQ Machines for Quantum ML Applications. | Priyabrata Senapati, Samuel Yen-Chi Chen, Bo Fang, Tushar M. Athawale, Ang Li, Weiwen Jiang, Cheng Chang Lu, Qiang Guan |
| 2023 | ASPDAC | Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space. | Qing Lu, Weiwen Jiang, Xiaowei Xu, Jingtong Hu, Yiyu Shi |
| 2023 | ASPDAC | Toward Fair and Efficient Hyperdimensional Computing. | Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang |
| 2023 | DAC | Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network. | Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang |
| 2023 | DAC | Muffin: A Framework Toward Multi-Dimension AI Fairness by Uniting Off-the-Shelf Models. | Yi Sheng, Junhuan Yang, Lei Yang, Yiyu Shi, Jingtong Hu, Weiwen Jiang |
| 2023 | DAC | On-Device Unsupervised Image Segmentation. | Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang |
| 2023 | QCE | Toward Consistent High-Fidelity Quantum Learning on Unstable Devices via Efficient In-Situ Calibration. | Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis S. Humble, Weiwen Jiang |
| 2023 | QCE | A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. | Jinyang Li, Zhepeng Wang, Zhirui Hu, Prasanna Date, Ang Li, Weiwen Jiang |
| 2023 | QCE | Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. | Priyabrata Senapati, Zhepeng Wang, Weiwen Jiang, Travis S. Humble, Bo Fang, Shuai Xu, Qiang Guan |
| 2023 | QCE | QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. | Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang |
| 2022 | ASPDAC | RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search. | Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi |
| 2022 | DAC | A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. | Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding |
| 2022 | DAC | The larger the fairer?: small neural networks can achieve fairness for edge devices. | Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang |
| 2022 | ICCAD | TorchQuantum Case Study for Robust Quantum Circuits. | Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han |
| 2022 | ICCAD | All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. | Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang |
| 2022 | ICCAD | Quantum Neural Network Compression. | Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang |
| 2022 | ICCD | Towards Real-Time Temporal Graph Learning. | Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan |
| 2022 | ICCD | On the Design of Quantum Graph Convolutional Neural Network in the NISQ-Era and Beyond. | Zhirui Hu, Jinyang Li, Zhenyu Pan, Shanglin Zhou, Lei Yang, Caiwen Ding, Omer Khan, Tong Geng, Weiwen Jiang |
| 2022 | ICCD | Towards Sparsification of Graph Neural Networks. | Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Omer Khan, Caiwen Ding |
| 2022 | IPCCC | Iterative Qubits Management for Quantum Index Searching in a Hybrid System. | Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen |
| 2022 | QCE | Variational Quantum Pulse Learning. | 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 |
| 2022 | SIGMETRICS | One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search. | Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren |
| 2021 | ASPDAC | When Machine Learning Meets Quantum Computers: A Case Study. | Weiwen Jiang, Jinjun Xiong, Yiyu Shi |
| 2021 | DAC | Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. | Song Bian, Weiwen Jiang, Takashi Sato |
| 2021 | DAC | Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices. | Yuhong Song, Weiwen Jiang, Bingbing Li, Panjie Qi, Qingfeng Zhuge, Edwin Hsing-Mean Sha, Sakyasingha Dasgupta, Yiyu Shi, Caiwen Ding |
| 2021 | ICCAD | Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). | Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang |
| 2021 | ICCAD | FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. | Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang |
| 2021 | ICCAD | Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). | 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 | ICCAD | Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). | Zhepeng Wang, Zhiding Liang, Shanglin Zhou, Caiwen Ding, Yiyu Shi, Weiwen Jiang |
| 2021 | ICCV | RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. | Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin |
| 2021 | IJCAI | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2021 | ISLPED | DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency. | Yongan Zhang, Yonggan Fu, Weiwen Jiang, Chaojian Li, Haoran You, Meng Li, Vikas Chandra, Yingyan Lin |
| 2021 | RTAS | Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. | 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 | ASPDAC | Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence. | Lei Yang, Weiwen Jiang, Weichen Liu, Edwin H.-M. Sha, Yiyu Shi, Jingtong Hu |
| 2020 | DAC | Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. | Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi |
| 2020 | ECAI | NASS: Optimizing Secure Inference via Neural Architecture Search. | Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato |
| 2020 | ICCAD | Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. | Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi |
| 2020 | ICCD | Achieving Full Parallelism in LSTM via a Unified Accelerator Design. | Xinyi Zhang, Weiwen Jiang, Jingtong Hu |
| 2020 | MICCAI | BUNET: Blind Medical Image Segmentation Based on Secure UNET. | Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato |
| 2020 | MICCAI | MS-NAS: Multi-scale Neural Architecture Search for Medical Image Segmentation. | Xingang Yan, Weiwen Jiang, Yiyu Shi, Cheng Zhuo |
| 2019 | DAC | Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. | Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu |
| 2019 | FPGA | XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI. | Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Yiyu Shi, Jingtong Hu |
| 2018 | DATE | Efficient wear leveling for inodes of file systems on persistent memories. | Xianzhang Chen, Edwin Hsing-Mean Sha, Yuansong Zeng, Chaoshu Yang, Weiwen Jiang, Qingfeng Zhuge |
| 2017 | RTCSA | Towards the design of optimal range assignment for elevator groups under fluctuant traffic loads. | Hailiang Dong, Edwin Hsing-Mean Sha, Weiwen Jiang, Xianzhang Chen, Runyu Zhang, Qingfeng Zhuge |
| 2016 | ASPDAC | FoToNoC: A hierarchical management strategy based on folded lorus-like Network-on-Chip for dark silicon many-core systems. | Lei Yang, Weichen Liu, Weiwen Jiang, Mengquan Li, Juan Yi, Edwin Hsing-Mean Sha |
| 2016 | EMSOFT | The design of an efficient swap mechanism for hybrid DRAM-NVM systems. | Xianzhang Chen, Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Junxi Chen, Jiejie Qin, Yuansong Zeng |
| 2016 | ICPADS | Optimizing Data Placement of MapReduce on Ceph-Based Framework under Load-Balancing Constraint. | Edwin Hsing-Mean Sha, Yutong Liang, Weiwen Jiang, Xianzhang Chen, Qingfeng Zhuge |
| 2016 | PDCAT | Performance Optimization for In-Memory File Systems on NUMA Machines. | Zhixiang Liu, Edwin Hsing-Mean Sha, Xianzhang Chen, Weiwen Jiang, Qingfeng Zhuge |
| 2015 | DAC | Optimizing data placement for reducing shift operations on domain wall memories. | Xianzhang Chen, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Penglin Dai, Weiwen Jiang |
| 2015 | HPCC | On the Design of High-Performance and Energy-Efficient Probabilistic Self-Timed Systems. | Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Lei Yang, Xianzhang Chen |
| 2015 | HPCC | Traffic-Aware Application Mapping for Network-on-Chip Based Multiprocessor System-on-Chip. | Lei Yang, Weichen Liu, Weiwen Jiang, Wei Zhang, Mengquan Li, Juan Yi, Duo Liu, Edwin Hsing-Mean Sha |
| 2015 | ICA3PP | Prevent Deadlock and Remove Blocking for Self-Timed Systems. | Edwin Hsing-Mean Sha, Weiwen Jiang, Qingfeng Zhuge, Xianzhang Chen, Lei Yang |
| 2014 | RTCSA | On self-timed ring for consistent mapping and maximum throughput. | Weiwen Jiang, Qingfeng Zhuge, Juan Yi, Lei Yang, Edwin Hsing-Mean Sha |
| 2014 | RTCSA | Contention-aware task and communication co-scheduling for network-on-chip based Multiprocessor System-on-Chip. | Lei Yang, Weichen Liu, Weiwen Jiang, Juan Yi, Duo Liu, Qingfeng Zhuge |