Dongkuan Xu

Zhang, L., Zhang, J., Lei, B., Mukherjee, S., Pan, X., Zhao, B., … Xu, D. (2023). Accelerating Dataset Distillation via Model Augmentation. 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 11950–11959. https://doi.org/10.1109/CVPR52729.2023.01150

Huang, S., Lei, B., Xu, D., Peng, H., Sun, Y., Xie, M., & Ding, C. (2023). Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. 2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC. https://doi.org/10.1109/DAC56929.2023.10247716

Tian, Y., Gao, W., Zhang, Q., Sun, P., & Xu, D. (2023). Improving long-tailed classification by disentangled variance transfer. INTERNET OF THINGS, 21. https://doi.org/10.1016/j.iot.2023.100687

Huang, S., Fang, H., Mahmood, K., Lei, B., Xu, N., Lei, B., … Ding, C. (2023). Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration. 2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC. https://doi.org/10.1109/DAC56929.2023.10247810

Zhang, C., Xu, D., Javaheripi, M., Mukherjee, S., Wu, L., Xia, Y., … Wang, Y. (2023). RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, pp. 5901–5902. https://doi.org/10.1145/3580305.3599228

Zhu, D., Lei, B., Zhang, J., Fang, Y., Xie, Y., Zhang, R., & Xu, D. (2023). Rethinking Data Distillation: Do Not Overlook Calibration. 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 4912–4922. https://doi.org/10.1109/ICCV51070.2023.00455

Li, S., Mei, H., Li, J., Wei, L. H., & Xu, D. (2023). Toward Efficient Traffic Signal Control: Smaller Network Can Do More. 2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, pp. 8069–8074. https://doi.org/10.1109/CDC49753.2023.10383879

Wu, L., Lei, B., Xu, D., & Zhou, D. (2023). Towards Reliable Rare Category Analysis on Graphs via Individual Calibration. PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, pp. 2629–2638. https://doi.org/10.1145/3580305.3599525

Tang, S., Wang, Y., Kong, Z., Zhang, T., Li, Y., Ding, C., … Xu, D. (2023). You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. 2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp. 10781–10791. https://doi.org/10.1109/CVPR52729.2023.01038