Publications

Fan, H., B. Wang, P. Zhou, A. Li, Z. Xu, C. Fu, H. Li, and Y. Chen. “Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs.” In 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021, 933–40, 2022. https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00149.

Yang, X., H. Yang, J. Zhang, H. H. Li, and Y. Chen. “On Building Efficient and Robust Neural Network Designs.” In Conference Record - Asilomar Conference on Signals, Systems and Computers, 2022-October:317–21, 2022. https://doi.org/10.1109/IEEECONF56349.2022.10051891.

Cheng, H. P., F. Liang, M. Li, B. Cheng, F. Yan, H. Li, V. Chandra, and Y. Chen. “ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation.” In Proceedings of Machine Learning Research, Vol. 188, 2022.

Zhang, J., Y. Chen, and H. Li. “Privacy Leakage of Adversarial Training Models in Federated Learning Systems.” In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2022-June:107–13, 2022. https://doi.org/10.1109/CVPRW56347.2022.00021.

Gao, Z., M. Tang, A. Li, and Y. Chen. “An Audio Frequency Unfolding Framework for Ultra-Low Sampling Rate Sensors.” In Proceedings - International Symposium on Quality Electronic Design, ISQED, Vol. 2022-April, 2022. https://doi.org/10.1109/ISQED54688.2022.9806149.

Zhang, J., Z. Du, J. Sun, A. Li, M. Tang, Y. Wu, Z. Gao, M. Kuo, H. H. Li, and Y. Chen. “Next Generation Federated Learning for Edge Devices: An Overview.” In Proceedings - 2022 IEEE 8th International Conference on Collaboration and Internet Computing, CIC 2022, 10–15, 2022. https://doi.org/10.1109/CIC56439.2022.00012.

Fang, H., B. Taylor, Z. Li, Z. Mei, H. H. Li, and Q. Qiu. “Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning.” In Proceedings - Design Automation Conference, 2021-December:361–66, 2021. https://doi.org/10.1109/DAC18074.2021.9586133.

Huang, T., Y. Chen, Z. Zeng, and L. Chua. “Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor - Part II.” IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 12 (December 1, 2021): 4835–36. https://doi.org/10.1109/TCSI.2021.3124407.

Li, A., J. Sun, X. Zeng, M. Zhang, H. Li, and Y. Chen. “FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.” In SenSys 2021 - Proceedings of the 2021 19th ACM Conference on Embedded Networked Sensor Systems, 42–55, 2021. https://doi.org/10.1145/3485730.3485929.

Wen, S., W. Liu, Y. Yang, P. Zhou, Z. Guo, Z. Yan, Y. Chen, and T. Huang. “Multilabel Image Classification via Feature/Label Co-Projection.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 51, no. 11 (November 1, 2021): 7250–59. https://doi.org/10.1109/TSMC.2020.2967071.

Huang, T., Y. Chen, Z. Zeng, and L. Chua. “Editorial Special Issue for 50th Birthday of Memristor Theory and Application of Neuromorphic Computing Based on Memristor - Part i.” IEEE Transactions on Circuits and Systems I: Regular Papers 68, no. 11 (November 1, 2021): 4417–18. https://doi.org/10.1109/TCSI.2021.3115842.

Joardar, Biresh Kumar, Janardhan Rao Doppa, Hai Li, Krishnendu Chakrabarty, and Partha Pratim Pande. “Learning to Train CNNs on Faulty ReRAM-based Manycore Accelerators.” ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–23. https://doi.org/10.1145/3476986.

Xie, Z., X. Xu, M. Walker, J. Knebel, K. Palaniswamy, N. Hebert, J. Hu, H. Yang, Y. Chen, and S. Das. “APOLLO: An automated power modeling framework for runtime power introspection in high-volume commercial microprocessors.” In Proceedings of the Annual International Symposium on Microarchitecture, MICRO, 1–14, 2021. https://doi.org/10.1145/3466752.3480064.

Li, S., E. Hanson, X. Qian, H. H. Li, and Y. Chen. “ESCALATE: Boosting the efficiency of sparse CNN accelerator with kernel decomposition.” In Proceedings of the Annual International Symposium on Microarchitecture, MICRO, 992–1004, 2021. https://doi.org/10.1145/3466752.3480043.

Chen, Y., Q. Qiu, and Y. Lin. “Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 2.” ACM Journal on Emerging Technologies in Computing Systems 17, no. 4 (October 1, 2021). https://doi.org/10.1145/3464917.

Yang, Q., J. Mao, Z. Wang, and L. Hai. “Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement.” ACM Journal on Emerging Technologies in Computing Systems 17, no. 4 (October 1, 2021). https://doi.org/10.1145/3447776.

Wang, B., J. Guo, A. Li, Y. Chen, and H. Li. “Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1667–76, 2021. https://doi.org/10.1145/3447548.3467273.

Wang, Tao, Patrick Koch, Brett Wujek, Jun Liu, and Hai Li. “The Fifth International Workshop on Automation in Machine Learning.” In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. ACM, 2021. https://doi.org/10.1145/3447548.3469452.

Yang, C., L. Ding, Y. Chen, and H. Li. “Defending against GAN-based DeepFake Attacks via Transformation-aware Adversarial Faces.” In Proceedings of the International Joint Conference on Neural Networks, Vol. 2021-July, 2021. https://doi.org/10.1109/IJCNN52387.2021.9533868.

Mao, J., H. Yang, A. Li, H. Li, and Y. Chen. “TPrune: Efficient Transformer Pruning for Mobile Devices.” ACM Transactions on Cyber-Physical Systems 5, no. 3 (July 1, 2021). https://doi.org/10.1145/3446640.

Zhang, J., Y. Huang, H. Yang, M. Martinez, G. Hickman, J. Krolik, and H. Li. “Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing.” In 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, 2021. https://doi.org/10.1109/AICAS51828.2021.9458573.

Chai, X., X. Zhi, Z. Gan, Y. Zhang, Y. Chen, and J. Fu. “Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption.” Signal Processing 183 (June 1, 2021). https://doi.org/10.1016/j.sigpro.2021.108041.

Hu, W., C. H. Chang, A. Sengupta, S. Bhunia, R. Kastner, and H. Li. “An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 40, no. 6 (June 1, 2021): 1010–38. https://doi.org/10.1109/TCAD.2020.3047976.

Wen, S., M. Dong, Y. Yang, P. Zhou, T. Huang, and Y. Chen. “End-to-End Detection-Segmentation System for Face Labeling.” IEEE Transactions on Emerging Topics in Computational Intelligence 5, no. 3 (June 1, 2021): 457–67. https://doi.org/10.1109/TETCI.2019.2947319.

Li, A., J. Guo, H. Yang, F. D. Salim, and Y. Chen. “DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones.” In IoTDI 2021 - Proceedings of the 2021 International Conference on Internet-of-Things Design and Implementation, 28–39, 2021. https://doi.org/10.1145/3450268.3453519.