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Dinglan Peng
Dinglan Peng
Verified email at purdue.edu
Title
Cited by
Cited by
Year
How could neural networks understand programs?
D Peng, S Zheng, Y Li, G Ke, D He, TY Liu
International Conference on Machine Learning, 8476-8486, 2021
562021
Stable, fast and accurate: Kernelized attention with relative positional encoding
S Luo, S Li, T Cai, D He, D Peng, S Zheng, G Ke, L Wang, TY Liu
Advances in Neural Information Processing Systems 34, 22795-22807, 2021
382021
μSwitch: Fast Kernel Context Isolation with Implicit Context Switches
D Peng, C Liu, T Palit, P Fonseca, A Vahldiek-Oberwagner, M Vij
2023 IEEE Symposium on Security and Privacy (SP), 2956-2973, 2023
52023
Snowcat: Efficient kernel concurrency testing using a learned coverage predictor
S Gong, D Peng, D Altınbüken, P Fonseca, P Maniatis
Proceedings of the 29th Symposium on Operating Systems Principles, 35-51, 2023
32023
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Articles 1–4