Selected Conference Publications
[WWW ‘22] Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing
Y. Yu, F. Yu, Z. Xu, D. Wang, M. Zhang, A. Li, S. Bray, C. Liu, and X. Chen.
Companion Proceedings of the Web Conference 2022, Apr. 2022.
[ICCAD ‘21] Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU
F. Yu, S. Bray, D. Wang, L. Shangguan, X. Tang, C. Liu, and X. Chen.
The 40th International Conference on Computer Aided Design (ICCAD), Nov. 2021.
[ISLPED ‘20] Enabling Efficient ReRAM-based Neural Network Computing via Crossbar Structure Adaptive Optimization
C. Liu, F. Yu, Z. Qin, and X. Chen.
The 25th ACM/IEEE International Symposium on Low Power Electronics and Design, Aug. 2020.
[DATE ‘20] [Best Paper Award Nomination] AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency
Yu, C. Liu, D. Wang, Y. Wang, and X. Chen.
The 23rd International Conference on Design Automation and Test in Europe, Mar. 2020.
[BMVC ‘19] Functionality-Oriented Convolutional Filter Pruning
Z. Qin, F. Yu, C. Liu, and X. Chen.
The 30th British Machine Vision Conference, Sep. 2019.
[IJCAI ‘19] Interpreting and Evaluating Neural Network Robustness
F. Yu, Z. Qin, C. Liu, L. Zhao, Y. Wang, and X. Chen.
The 28th International Joint Conference on Artificial Intelligence, Aug. 2019.
[DAC ‘19] ReForm: Static and Dynamic Resource- Aware DNN Reconfiguration Framework for Mobile Devices
Z. Xu, F. Yu, C. Liu, and X. Chen.
The 56th Annual Design Automation Conference, Jun. 2019.
[DAC ‘19] MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping.
F. Yu, Z. Xu, C. Liu, and X. Chen.
The 56th Annual Design Automation Conference, Jun. 2019.
[ISVLSI ‘18] ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security
C. Liu, Q. Dong, F. Liu, and X. Chen.
The 17th IEEE Computer Society Annual Symposium on VLSI, Jul. 2018.
[DAC ‘18] Towards Accurate and High-Speed Spiking Neuromorphic Systems with Data Quantization-Aware Deep Networks
F. Liu and C. Liu.
The 55th Annual Design Automation Conference, Jun. 2018.
[DAC ‘17] Rescuing Memristor-based Neuro- morphic Design with High Defects
C. Liu, M. Hu, J. P. Strachan, and H. Li.
The 54th Annual Design Automation Conference, Jun. 2017.
[DATE ‘17] Hybrid Spiking-based Multi-layered Self-learning Neuromorphic System Based On Memristor Crossbar Arrays
A. Hassan, C. Yang, C. Liu, H. Li, and Y. Chen.
The 20th International Conference on Design Automation and Test in Europe, Mar. 2017.
[ASPDAC ‘17] A Memristor based Neuromorphic Engine with a Current Sensing Scheme in Artificial Neural Network Application
C. Liu, Q. Yang, C. Zhang, H. Jiang, Q. Wu, and H. Li.
The 22rd Asia and South Pacific Design Automation Conference, Jan. 2017.
[ISVLSI ‘16] A Memristor Crossbar Based Computing Engine Design Optimized for High Speed and Accuracy
C. Liu, Q. Yang, B. Yan, J. Yang, X. Du, W. Zhu, H. Jiang, Q. Wu, M. Barnell, and H. Li.
The 15th IEEE Computer Society Annual Symposium on VLSI, Jul. 2016.
[DAC ‘15] A Spiking Neuromorphic Design with Resistive Crossbar
C. Liu, B. Yan, C. Yang, L. Song, Z. Li, B. Liu, H. Jiang, Q. Wu, Y. Chen, and H. Li.
The 52nd Annual Design Automation Conference, Jun. 2015.
[ISVLSI ‘14] [Best Paper Award] A Weighted Sensing Scheme for ReRAM-Based Cross- Point Memory Array
C. Liu and H. Li.
The 13rd IEEE Computer Society Annual Symposium on VLSI, Jul. 2014.
Selected Journal Publications
[IEEE-TCAD ‘20] CaptorX: A Class- Adaptive Convolutional Neural Network Reconfiguration Framework
Z. Qin, F. Yu, Z. Xu, C. Liu, and X. Chen.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, to appear.
[IEEE-TCAD ‘20] REIN the RobuTS: Robust DNN-based Image Recognition in Autonomous Driving Systems
F. Yu, Z. Qin, C. Liu, D. Wang, and X. Chen.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Oct. 2020.
[IEEE-TCAD ‘20] DiReCtX: Dynamic Resource- Aware CNN Reconfiguration Framework for Real-Time Mobile Application
Z. Xu, F. Yu, C. Liu, and X. Chen.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, May 2020.
[AMC-MFC ‘20] How Convolutional Neural Networks See the World — A Survey of Convolutional Neural Network Visualization Methods
Z. Qin, F. Yu, C. Liu, and X. Chen.
Advances in Mathematics of Communications Journal on Mathematical Foundations of Computing, May 2018.
[IEEE-CEM ’17] Looking Ahead for Resistive Memory Technology
H. Li, Y. Chen, C. Liu, J. P. Strachan, and N. Davila.
IEEE Consumer Electronics Magazine, Jan. 2017.