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Learning Methods of Convolutional Neural Network Combined With Image Feature Extraction in Brain Tumor Detection., , , and . IEEE Access, (2020)ConvMAE: Masked Convolution Meets Masked Autoencoders., , , , , and . CoRR, (2022)SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models., , , , , , , , , and 6 other author(s). CoRR, (2023)Coverage-directed Differential Testing of X.509 Certificate Validation in SSL/TLS Implementations., , , , , and . ACM Trans. Softw. Eng. Methodol., 32 (1): 3:1-3:32 (January 2023)A 56Gb/s De-serializer with PAM-4 CDR for Chiplet Optical-I/O., , , , , , , , , and 2 other author(s). ICTA, page 1-2. IEEE, (2022)Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models., , , , , , , and . ICCV (Workshops), page 272-283. IEEE, (2023)ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning., , , , and . NeurIPS, (2022)Frozen CLIP Models are Efficient Video Learners., , , , , , , , and . ECCV (35), volume 13695 of Lecture Notes in Computer Science, page 388-404. Springer, (2022)A 50Gb/s CMOS Optical Receiver With Si-Photonics PD for High-Speed Low-Latency Chiplet I/O., , , , , , , , , and 11 other author(s). IEEE Trans. Circuits Syst. I Regul. Pap., 70 (11): 4271-4282 (November 2023)SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models., , , , , , , , , and 9 other author(s). CoRR, (2024)