Publications:
arXiv
1. QuSplit： Achieving Both High Fidelity and Throughput via Job Splitting on Noisy Quantum Computers
Jinyang Li, Yuhong Song, Yipei Liu, Jianli Pan, Lei Yang, Travis Humble, Weiwen Jiang
Arxiv, 2025
2. Escaping Barren Plateau： Co-Exploration of Quantum Circuit Parameters and Architectures
Yipei Liu, Yuhong Song, Jinyang Li, Qiang Guan, Cheng-chang Lu, Youzuo Lin, Weiwen Jiang
Arxiv, 2025
3. Dependable classical-quantum computer systems engineering
Edoardo Giusto, Santiago Nuñez-Corrales, Phuong Cao, Alessandro Cilardo, Ravishankar K Iyer, Weiwen Jiang, Paolo Rech, Flavio Vella, Bartolomeo Montrucchio, Samudra Dasgupta, Travis S Humble
Arxiv, 2024
4. All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
Lei Lu, Zhepeng Wang, Ruexue Bao, Mengbing Wang, Fangyi Li, Yawen Wu, Weiwen Jiang, Jie Xu, Yanzhi Wang, Shangqian Gao
Arxiv, 2024
2024
5. 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
Conference on Empirical Methods in Natural Language Processing, 2024
6. GPU Partitioning and Neural Architecture Sizing for Safety-Driven Sensing in Autonomous Systems
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
International Conference on Assured Autonomy (ICAA), 2024
7. 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
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
8. 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
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
9. 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
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
10. Tutorial on Novel Toolkits toward AI for Science on Resource-Constrained Computing Systems
Yi Sheng, Junhuan Yang, Hanchen Wang, Yinan Feng, Yinpeng Chen, Xiaolong Guo, Youzuo Lin, Weiwen Jiang, Lei Yang
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS), 2024
11. 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
IEEE International Conference on Quantum Computing and Engineering (QCE), 2024
12. 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
IEEE International Conference on Quantum Computing and Engineering (QCE), 2024
13. QuGeo： An End-to-end Quantum Learning Framework for Geoscience---A Case Study on Full-Waveform Inversion
Weiwen Jiang, Youzuo Lin
61st ACM/IEEE Design Automation Conference, 2024
14. Toward Fair Ultrasound Computing Tomography： Challenges, Solutions and Outlook
Yi Sheng, Junhuan Yang, Youzuo Lin, Weiwen Jiang, Lei Yang
Great Lakes Symposium on VLSI, 2024
15. Neural architecture sizing for autonomous systems
Shengjie Xu, Clara Hobbs, Yukai Song, Bineet Ghosh, Sharmin Aktar, Lei Yang, Yi Sheng, Weiwen Jiang, Jingtong Hu, Parasara Sridhar Duggirala, Samarjit Chakraborty
ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS), 2024
16. QUAPPROX： A Framework for Benchmarking the Approximability of Variational Quantum Circuit
Jinyang Li, Ang Li, Weiwen Jiang
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
2023
17. Carbon Emissions of Quantum Circuit Simulation： More than You Would Think
Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang
International Green and Sustainable Computing Conference, 2023
18. Hardware–Software Co-design of Deep Neural Architectures： From FPGAs and ASICs to Computing-in-Memories
Zheyu Yan, Qing Lu, Weiwen Jiang, Lei Yang, X Sharon Hu, Jingtong Hu, Yiyu Shi
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing： Software Optimizations and Hardware/Software Codesign, 2023
19. 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
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023
20. Toward consistent high-fidelity quantum learning on unstable devices via efficient in-situ calibration
Zhirui Hu, Robert Wolle, Mingzhen Tian, Qiang Guan, Travis Humble, Weiwen Jiang
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023
21. 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
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023
22. Qumos： A framework for preserving security of quantum machine learning model
Zhepeng Wang, Jinyang Li, Zhirui Hu, Blake Gage, Elizabeth Iwasawa, Weiwen Jiang
IEEE International Conference on Quantum Computing and Engineering (QCE), 2023
23. Edge-InversionNet： Enabling efficient inference of InversionNet on edge devices
Zhepeng Wang, Isaacshubhanand Putla, Weiwen Jiang, Youzuo Lin
Third International Meeting for Applied Geoscience and Energy, 2023
24. 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
60th ACM/IEEE Design Automation Conference (DAC), 2023
25. Battle against fluctuating quantum noise： Compression-aided framework to enable robust quantum neural network
Zhirui Hu, Youzuo Lin, Qiang Guan, Weiwen Jiang
60th ACM/IEEE Design Automation Conference (DAC), 2023
26. On-device unsupervised image segmentation
Junhuan Yang, Yi Sheng, Yuzhou Zhang, Weiwen Jiang, Lei Yang
60th ACM/IEEE Design Automation Conference (DAC), 2023
27. VENUS： A Geometrical Representation for Quantum State Visualization
Shaolun Ruan, Ribo Yuan, Qiang Guan, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Yong Wang
Computer Graphics Forum, 2023
28. Toward fair and efficient hyperdimensional computing
Yi Sheng, Junhuan Yang, Weiwen Jiang, Lei Yang
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
29. 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
Proceedings of the 28th Asia and South Pacific design automation conference, 2023
2022
30. A collaboration strategy in the mining pool for proof-of-neural-architecture consensus
Boyang Li, Qing Lu, Weiwen Jiang, Taeho Jung, Yiyu Shi
Blockchain: Research and Applications, 100089, 2022
31. Torchquantum case study for robust quantum circuits
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
International Conference on Computer-Aided Design, 2022
32. All-in-on： 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
International Conference on Computer-Aided Design, 2022
33. Quantum Neural Network Compression [arXiv]
Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang
In Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
34. 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 and Caiwen Ding
Accepted by Design Automation Conference (DAC), 2022
35. Towards Real-Time Temporal Graph Learning
Deniz Gurevin, Mohsin Shan, Tong Geng, Weiwen Jiang, Caiwen Ding, Omer Khan
IEEE 40th International Conference on Computer Design (ICCD), 2022
36. Towards sparsification of graph neural networks
Hongwu Peng, Deniz Gurevin, Shaoyi Huang, Tong Geng, Weiwen Jiang, Orner Khan, Caiwen Ding
IEEE 40th International Conference on Computer Design (ICCD), 2022
37. 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
IEEE 40th International Conference on Computer Design (ICCD), 2022
38. Hardware-aware automated architecture search for brain-inspired hyperdimensional computing
Junhuan Yang, Venkat Kalyan Reddy Yasa, Yi Sheng, Dayane Reis, Xun Jiao, Weiwen Jiang, Lei Yang
IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2022
39. VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing [arXiv]
Shaolun Ruan, Yong Wang, Weiwen Jiang, Ying Mao, Qiang Guan
IEEE Transactions on Visualization and Computer Graphics, 2022
40. Variational Quantum Pulse Learning [arXiv]
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
IEEE International Conference on Quantum Computing and Engineering (QCE), 2022
41. Hardware and neural architecture co-search
Sakyasingha Dasgupta, Weiwen Jiang, Yiyu Shi
PUS Patent App. 17/362,997, 2022/7
42. Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs []
Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Yiyu Shi
Proc. IEEE Computer Society Annual Symposium on VLSI(ISVLSI), 2022/7
43. The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices [arXiv]
Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang and Lei Yang
Accepted by Design Automation Conference (DAC), 2022
44. RADARS: Memory Efficient Reinforcement Learning Aided Differentiable Neural Architecture Search
Zheyu Yan, Weiwen Jiang, Xiaobo Sharon Hu, Yiyu Shi
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 128-133,
45. Iterative qubits management for quantum index searching in a hybrid system
Wenrui Mu, Ying Mao, Long Cheng, Qingle Wang, Weiwen Jiang, Pin-Yu Chen
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2022
46. 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, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
ACM Transactions on Embedded Computing Systems, 2022
47. Seismic waveform inversion capability on resource-constrained edge devices
Daniel Manu, Petro Mushidi Tshakwanda, Youzuo Lin, Weiwen Jiang, Lei Yang
Journal of Imaging, 2022
48. One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi and Shaolei Ren,
ACM SIGMETRICS/Performance, 2022
2021
49. Dancing along Battery: Enabling Transformer with Run-time Reconfigurability on Mobile Devices [arXiv]
Y. Song, W. Jiang, B. Li, P. Qi, Q. Zhuge, E. H.-M. Sha, S. Dasgupta, Y. Shi, and C. Ding
Accepted by Design Automation Conference (DAC), 2021
50. FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery
D. Manu, Y. Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
51. Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search
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,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
52. Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning
Y. Wu, D. Zeng, Z. Wang, Y. Sheng, L. Yang, A. James, Y. Shi, J. Hu,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
53. Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs [arXiv]
Z. Wang, Z. Liang, S. Zhou, C. Ding, J. Xiong, Y. Shi, W. Jiang,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
54. Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow [arXiv]
Z. Liang, Z. Wang, J. Yang, L. Yang, J. Xiong, Y. Shi, W. Jiang,
Accepted by IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2021. (Invited paper)
55. RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
S. Chang, Y. Li, M. Sun, W. Jiang, S. Liu, Y. Wang and X. Lin,
Proc. 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
56. DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency
Y. Zhang, Y. Fu, W. Jiang, C. Li, H. You, M. Li, V. Chandra and Y. Lin
in Proc. of ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED),
57. A Compression-Compilation Framework for On-mobile Real-time BERT Applications
W. Niu, Z. Kong, G. Yuan, W. Jiang, J. Guan, C. Ding, P. Zhao, S. Liu, B. Ren, Y. Wang
Demo Paper at International Joint Conference on Artificial Intelligence (IJCAI-21),
58. Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework
G. Yuan, P. Dong, M. Sun, W. Niu, Z. Li, Y. Cai, J. Liu, W. Jiang, X. Lin, B. Ren, X. Tang, Y. Wang
IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Virtual, May. 2021.
59. A Mining Pool Solution for Novel Proof-of-Neural-Architecture Consensus
B. Li, Q. Lu, W. Jiang, T. Jung, and Y. Shi
in Proc. of IEEE International Conference on Blockchain and Cryptocurrency (ICBC),
60. Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning
H Peng, S Huang, T Geng, A Li, W. Jiang, H Liu, S Wang, C Ding
in Proc. of International Symposium on Quality Electronic Design (ISQED),
61. A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage
W. Jiang, J. Xiong, and Y. Shi
Nature Communications, 12, 579, 2021 [NCOMMS] [arXiv];
News: [AI era news-1]; [AI era news-2]
62. When Machine Learning Meets Quantum Computers: A Case Study [arXiv]
W. Jiang, J. Xiong, and Y. Shi
in Proc. of Asia and South Pacific Design Automation Conference (ASP-DAC), (Invited paper)
2020
63. Achieving Full Parallelism in LSTM via a Unified Accelerator Design
X. Zhang, W. Jiang, J. Hu
IEEE International Conference on Computer Design (ICCD2020@Online), Oct. 2020.
(acceptance rate 62/221=28.1%)
64. Hardware Design and the Competency Awareness of a Neural Network
Y. Ding, W. Jiang, Q. Lou, J. Liu, J. Xiong, X. Sharon Hu, X. Xu, and Y. Shi,
Nature Electronics, Aug. 2020 (in print)
65. Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start [arXiv]
W. Jiang, L. Yang, S. Dasgupta, J. Hu and Y. Shi
International Conference on Hardware/Software Co-design and System Synthesis CODE+ISSS) in ESWEEK'20
(acceptance rate 94/375=25.1%)
also appears at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Virtaul Conference, Oct. 2020.
66. Towards Cardiac Intervention Assistance: Hardware-Aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation
D. Zeng, W. Jiang, T. Wang, X. Xu, H. Yuan, M. Hung, J. Zhuang, J. Hu and Y. Shi,
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Virtual, 2020. (Invited paper)
67. Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators [arXiv]
W. Jiang, Q. Lou, Z. Yan, L. Yang, J. Hu, X. S. Hu and Y. Shi
IEEE Transactions on Computers (TC), Accepted, 2020.
68. BUNET: Blind Medical Image Segmentation Based on Secure UNET
S. Bian, X. Xu, W. Jiang, Y. Shi
in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020.
(acceptance rate 30%)
69. MS-NAS: Multi-Scale Neural Architecture Search for Medical Image Segmentation
X. Yan, W. Jiang, Y. Shi, C. Zhuo
in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020.
(acceptance rate 30%)
70. Hardware/Software Co-Exploration of Neural Architectures [arXiv][slides]
      (2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award )
W. Jiang, L. Yang, E. H.-M. Sha, Q. Zhuge, S. Gu, S. Dasgupta, Y. Shi and J. Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Accepted, 2020.
71. Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks [arXiv]
L. Yang, Z. Yan, M. Li, H. Kwon, L. Lai, T. Krishana, V. Chandra, W. Jiang, and Y. Shi
Design Automation Conference (DAC), 2020.
(acceptance rate 228/992=23.0%)
72. NASS: Optimizing Secure Inference via Neural Architecture Search [arXiv]
B. Song, W. Jiang, Q. Lu, Y. Shi and T. Sato
Proc. European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, June. 2020.
(acceptance rate 365/1363=26.8%)
73. Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence (BEST PAPER NOMINATION)
L. Yang, W. Jiang, W. Liu, E. H.-M. Sha, Y. Shi and J. Hu
Proc. Asia and South Pacific Design Automation Conference (ASP-DAC), Beijing, Jan. 2020.
(acceptance rate 86/263=32.6%)
2019
74. Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference [arXiv][slides] (BEST PAPER NOMINATION)
W. Jiang, E. H.-M. Sha, X. Zhang, L. Yang, Q. Zhuge, Y. Shi and J. Hu
International Conference on Hardware/Software Co-design and System Synthesis CODE+ISSS) in ESWEEK'19
(acceptance rate 66/243=27.2%)
also appears at ACM Transactions on Embedded Computing Systems (TECS), NYC, New York, USA, Oct. 2019.
75. Integrating Memristors and CMOS for Better AI
W. Jiang, B. Xie, C-C Liu and Y. Shi,
Nature Electronics (News and Views), Sep. 2019
76. On Neural Architecture Search for Resource-Constrained Hardware Platforms
Q. Lu, W. Jiang, X. Xiao, J. Hu and Y. Shi,
Proc. IEEE/ACM International Conference On Computer-Aided Design (ICCAD), Westminster, CO, 2019. (Invited paper)
77. When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design
X. Zhang, W. Jiang, Y. Shi and J. Hu,
Proc. IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Miami, Florida, USA, Aug. 2019. (Invited paper)
78. Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search [arXiv]
      (BEST PAPER NOMINATION)
W. Jiang, X. Zhang, E. H.-M. Sha, L. Yang, Q. Zhuge, Y. Shi, and J. Hu
Design Automation Conference (DAC), 2019.
(acceptance rate 204/815=25%)
2018
79. Heterogeneous FPGA-based Cost-Optimal Design for Timing-Constrained CNNs
W. Jiang, E. H.-M. Sha, Q. Zhuge, L. Yang, X. Chen, and J. Hu
International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES) in ESWEEK'18
(acceptance rate 67/270=24.8%)
also appear at IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Torino, Italy, Oct. 2018.
80. On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines
W. Jiang, E. H.-M. Sha, Q. Zhuge, L. Yang, X. Chen, and J. Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Accepted, 2018.
81. Thermal-aware Task Mapping on Dynamically Reconfigurable Network-on-Chip based Multiprocessor System-on-Chip
W. Liu, L. Yang, W. Jiang, L. Feng, N. Guan, W. Zhang, and N. Dutt
IEEE Transactions on Computers (TC), Accepted, 2018.
82. Towards the Design of Efficient and Consistent Index Structure with Minimal Write Activities for Non-Volatile Memory
E. H.-M. Sha, W. Jiang, H. Dong, Z. Ma, R. Zhang, X. Chen and Q. Zhuge
IEEE Transactions on Computers (TC), 67(3), 432-448, 2018.
83. Efficient wear leveling for inodes of file systems on persistent memories
X. Chen, E. H.-M. Sha, Y. Zeng, C. Yang, W. Jiang and Q. Zhuge
Proc. Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, Germany, Mar. 2018.
84. On the Design of Minimal-Cost Pipeline Systems Satisfying Hard/Soft Real-Time Constraints (BEST PAPER AWARD)
W. Jiang, E. H.-M. Sha, Q. Zhuge, L. Yang, H. Dong and X. Chen
IEEE International Conference on Computer Design (ICCD2017@BOSTON)
(acceptance rate 75/258=29.1%)
also appear at IEEE Transactions on Emerging Topics in Computing (TETC), Jan. 2018.
2017
85. Work In Progress: Communication Optimization for Thermal Reliable Many-core Systems
W. Liu, L. Yang, W. Jiang and N. Guan
Proc. International Conference on Hardware/Software Co-design and System Synthesis (CODES+ISSS), Seoul, South Korea, Oct. 2017.
86. Optimal Functional Unit Assignment and Voltage Selection for Pipelined MPSoC with Guaranteed Probability on Time Performance
W. Jiang, E. H.-M. Sha, Q. Zhuge, H. Dong and X. Chen
Proc. Languages, Compilers, and Tools for Embedded Systems (LCTES), Barcelona, Spain, Jun. 2017.
(acceptance rate 13/51=25.5%)
87. Efficient Assignment Algorithms to Minimize Operation Cost for Supply Chain Networks in Agile Manufacturing
W. Jiang, E. H.-M. Sha, Q. Zhuge and Lin Wu
Computers & Industrial Engineering (CAIE), Apr. 2017.
88. Synthesizing Distributed Pipelining Systems with Timing Constraints via Optimal Functional Unit Assignment and Communication Selection
W. Jiang, E. H.-M. Sha, X. Chen, L. Wu and Q. Zhuge
Journal of Computational Science (JOCS), Mar. 2017.
89. Optimal Functional-Unit Assignment for Heterogeneous Systems under Timing Constraint
W. Jiang, E. H.-M. Sha, X. Chen, L. Yang, L. Zhou and Q. Zhuge
IEEE Transactions on Parallel and Distributed Systems (TPDS), 28(9), 2567-2580, 2017.
90. FoToNoC: A Folded Torus-Like Network-on-Chip based Many-Core Systems-on-Chip in the Dark Silicon Era
L. Yang, W. Liu, W. Jiang, M. Li, P. Chen and E. H.-M. Sha
IEEE Transactions on Parallel and Distributed Systems (TPDS), 28(7), 1905-1918, 2017.
2016
91. Optimal Functional-Unit Assignment and Buffer Placement for Probabilistic Pipelines
W. Jiang , E. H.-M. Sha, Q. Zhuge and X. Chen
Proc. International Conference on Hardware/Software Co-design and System Synthesis (CODES+ISSS), Pittsburgh, PA, USA, Oct. 2016.
(acceptance rate 21/80=26.3%)
92. The Design of an Efficient Swap Mechanism for Hybrid DRAM-NVM Systems
X. Chen, E. H.-M. Sha, W. Jiang, Q. Zhuge, J. Chen, J. Qin, Y. Zeng
Proc. International Conference on Embedded Software (EMSOFT), Pittsburgh, PA, USA, Oct. 2016.
93. A New Design of In-Memory File System Based on File Virtual Address Framework
E. H.-M. Sha, X. Chen, Q. Zhuge, L. Shi and W. Jiang
IEEE Transactions on Computers (TC), 65(10), 2959-2972, Oct. 2016.
94. Application Mapping and Scheduling for Network-on-Chip-Based MPSoC With Fine-Grain Communication Optimization
L. Yang, W. Liu, W. Jiang, M. Li, J. Yi and E. H. M. Sha
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI), 24(10), 3027-3040, Oct. 2016.
95. Properties of Self-Timed Ring Architectures for Deadlock-Free and Consistent Configuration Reaching Maximum Throughput
W. Jiang, Q. Zhuge, X. Chen, L. Yang, J. Yi and E. H.-M. Sha
Journal of Signal Processing Systems (JSPS), 84(1), 123-137, Jul. 2016.
96. Optimal Functional Assignment and Communication Selection under Timing Constraint for Self-Timed Pipelines
W. Jiang, E. H.-M. Sha, X. Chen, Q. Zhuge and L. Wu
Proc. International Conference on Embedded Software and Systems (ICESS), Chengdu, China, Aug. 2016.
97. Efficient data placement for improving data access performance on domain-wall memory''
X. Chen, E. H.-M. Sha, Q. Zhuge, C. J. Xue, W. Jiang and Y. Wang
IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI), 24(10), 3094-3104, 2016.
98. FoToNoC: A hierarchical management strategy based on folded lorus-like Network-on-Chip for dark silicon many-core systems
      (BEST PAPER NOMINATION)
L. Yang, W. Liu, W. Jiang , M. Li, J. Yi and E. H.-M. Sha
Proc. 2016 21st Asia and South Pacific Design Automation Conference (ASP-DAC), Macao, Jan. 2016.
2015
99. Prevent Deadlock and Remove Blocking for Self-Timed Systems
E. H.-M. Sha, W. Jiang, Q. Zhuge, X. Chen and L. Yang
Proc. International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Zhangjiajie, China, Nov. 2015.
100. Optimizing data placement for reducing shift operations on domain wall memories
X. Chen, E. H.-M. Sha, Q. Zhuge, P. Dai and W. Jiang
Proc. Design Automation Conference (DAC), San Francisco, California, USA, Jun. 2015.