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Hardware Architecture of Graph Neural Network-Enabled Motion Planner (Invited Paper)., , , и . ICCAD, стр. 104:1-104:7. ACM, (2022)VLSI Hardware Architecture of Neural A* Path Planner., , , , и . IEEECONF, стр. 334-338. IEEE, (2022)BATUDE: Budget-Aware Neural Network Compression Based on Tucker Decomposition., , , , и . AAAI, стр. 8874-8882. AAAI Press, (2022)DynGMP: Graph Neural Network-Based Motion Planning in Unpredictable Dynamic Environments., , , , , , и . IROS, стр. 858-865. (2023)Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models., , , и . IJCAI, стр. 3328-3334. ijcai.org, (2021)COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 38125-38136. PMLR, (2023)Generating emphatic speech with hidden Markov model for expressive speech synthesis., , , , , , и . Multim. Tools Appl., 74 (22): 9909-9925 (2015)HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks., , , , , и . CVPR, стр. 12289-12298. IEEE, (2022)IMG-SMP: Algorithm and Hardware Co-Design for Real-time Energy-efficient Neural Motion Planning., , , , , и . ACM Great Lakes Symposium on VLSI, стр. 373-377. ACM, (2022)MOPED: Efficient Motion Planning Engine with Flexible Dimension Support., , , , и . HPCA, стр. 483-497. IEEE, (2024)