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LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference., , , , , , , , , and 1 other author(s). CoRR, (2023)MaxK-GNN: Towards Theoretical Speed Limits for Accelerating Graph Neural Networks Training., , , , , , , , and . CoRR, (2023)Co-Exploration of Graph Neural Network and Network-on-Chip Design Using AutoML., , , and . ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2021)CoDG-ReRAM: An Algorithm-Hardware Co-design to Accelerate Semi-Structured GNNs on ReRAM., , , , , , , , , and 1 other author(s). ICCD, page 280-289. IEEE, (2022)Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification., , , , , , , and . IEEE Big Data, page 5823-5832. IEEE, (2022)An Automatic and Efficient BERT Pruning for Edge AI Systems., , , , , , , and . ISQED, page 1-6. IEEE, (2022)Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration., , , , , , , , , and . DAC, page 1-6. IEEE, (2023)Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models., , , , , and . IJCAI, page 5113-5121. ijcai.org, (2023)Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off., , , , , , and . CoRR, (2022)Towards Sparsification of Graph Neural Networks., , , , , , and . ICCD, page 272-279. IEEE, (2022)