Publications

Feng, G., B. Kim, and H. H. Li. “Bionic Robust Memristor-Based Artificial Nociception System for Robotics.” In Proceedings - IEEE International Symposium on Circuits and Systems, 2022-May:3552–56, 2022. https://doi.org/10.1109/ISCAS48785.2022.9937461.

Wang, B., A. Li, M. Pang, H. Li, and Y. Chen. “GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs.” In Proceedings - IEEE International Conference on Data Mining, ICDM, 2022-November:498–507, 2022. https://doi.org/10.1109/ICDM54844.2022.00060.

Yan, B., J. L. Hsu, P. C. Yu, C. C. Lee, Y. Zhang, W. Yue, G. Mei, et al. “A 1.041-Mb/mm²27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications.” In Digest of Technical Papers - IEEE International Solid-State Circuits Conference, 2022-February:188–90, 2022. https://doi.org/10.1109/ISSCC42614.2022.9731545.

Zhang, G. L., S. Zhang, H. H. Li, and U. Schlichtmann. “RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming.” In Proceedings - 2022 25th Euromicro Conference on Digital System Design, DSD 2022, 423–28, 2022. https://doi.org/10.1109/DSD57027.2022.00063.

Inkawhich, M., N. Inkawhich, E. Davis, H. Li, and Y. Chen. “The Untapped Potential of Off-the-Shelf Convolutional Neural Networks.” In Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, 2907–16, 2022. https://doi.org/10.1109/WACV51458.2022.00296.

Chen, Y., and I. Mohomed. “Message from the Program Co-Chairs: SEC 2022.” In Proceedings - 2022 IEEE/ACM 7th Symposium on Edge Computing, SEC 2022, XV, 2022. https://doi.org/10.1109/SEC54971.2022.00006.

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.

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, 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.

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.

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.