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ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers.

, , , , , , , and . ASPLOS, page 925-938. ACM, (2019)

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Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM., , , , , , , , , and 4 other author(s). CoRR, (2019)Towards Robust Vision Transformer., , , , , , , and . CoRR, (2021)Research on AGC Optimal Reference Power in Broadband PLC Multipath Channel., , and . ICCT, page 285-288. IEEE, (2021)QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval., , , , , , , and . CVPR, page 3330-3339. Computer Vision Foundation / IEEE, (2021)PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators., , , , , , , , , and 1 other author(s). DAC, page 1-6. IEEE, (2020)PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture., , , , , , , , and . DAC, page 1-6. IEEE, (2020)Brain-inspired reverse adversarial examples., , , , , and . CoRR, (2019)Second Rethinking of Network Pruning in the Adversarial Setting., , , , , , , , , and . CoRR, (2019)Panoptic animal pose estimators are zero-shot performers., , and . CoRR, (2022)Towards Robust Vision Transformer., , , , , , , and . CVPR, page 12032-12041. IEEE, (2022)