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pro vyhledávání: '"li, Hao"'
Autor:
Li, Hao, Gao, Yuanyuan, Peng, Haosong, Wu, Chenming, Ye, Weicai, Zhan, Yufeng, Zhao, Chen, Zhang, Dingwen, Wang, Jingdong, Han, Junwei
Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, making them unsuitable where computational resources are limited. Additio
Externí odkaz:
http://arxiv.org/abs/2411.12309
Existing text-to-video (T2V) models often struggle with generating videos with sufficiently pronounced or complex actions. A key limitation lies in the text prompt's inability to precisely convey intricate motion details. To address this, we propose
Externí odkaz:
http://arxiv.org/abs/2411.08328
Autor:
Hu, Chengxin, Li, Hao
Following the milestones in large language models (LLMs) and multimodal models, we have seen a surge in applying LLMs to biochemical tasks. Leveraging graph features and molecular text representations, LLMs can tackle various tasks, such as predictin
Externí odkaz:
http://arxiv.org/abs/2411.04708
Autor:
Che, Mengqian, Liang, Jinxuan, Cui, Yunpeng, Li, Hao, Lu, Bingru, Sang, Wenbo, Li, Xiang, Dong, Xuebin, Zhang, Shuai, Sun, Tao, Liu, Enke, Jin, Feng, Zhang, Tiantian, Yang, Luyi
Chiral phonons are vibrational modes in a crystal that possess a well-defined handedness or chirality, typically found in materials that lack inversion symmetry. Here we report the discovery of truly chiral phonon modes in the kagome ferromagnetic We
Externí odkaz:
http://arxiv.org/abs/2411.03754
Dissipative engineering is a powerful tool for quantum state preparation, and has drawn significant attention in quantum algorithms and quantum many-body physics in recent years. In this work, we introduce a novel approach using the Lindblad dynamics
Externí odkaz:
http://arxiv.org/abs/2411.01470
Prompt injection attacks pose a critical threat to large language models (LLMs), enabling goal hijacking and data leakage. Prompt guard models, though effective in defense, suffer from over-defense -- falsely flagging benign inputs as malicious due t
Externí odkaz:
http://arxiv.org/abs/2410.22770
Autor:
Wang, Jiacheng, Chen, Xiang, Hu, Renjiu, Wang, Rongguang, Liu, Min, Wang, Yaonan, Wang, Jiazheng, Li, Hao, Zhang, Hang
Co-examination of second-harmonic generation (SHG) and bright-field (BF) microscopy enables the differentiation of tissue components and collagen fibers, aiding the analysis of human breast and pancreatic cancer tissues. However, large discrepancies
Externí odkaz:
http://arxiv.org/abs/2410.20812
Visible-infrared pedestrian Re-identification (VI-ReID) aims to match pedestrian images captured by infrared cameras and visible cameras. However, VI-ReID, like other traditional cross-modal image matching tasks, poses significant challenges due to i
Externí odkaz:
http://arxiv.org/abs/2410.20097
Speech recognition and speech synthesis models are typically trained separately, each with its own set of learning objectives, training data, and model parameters, resulting in two distinct large networks. We propose a parameter-efficient approach to
Externí odkaz:
http://arxiv.org/abs/2410.18607
Autor:
Zhang, Xueying, Zhang, Bin, Wei, Shihai, Li, Hao, Liao, Jinyu, Zhou, Tao, Deng, Guangwei, Wang, You, Song, Haizhi, You, Lixing, Fan, Boyu, Fan, Yunru, Chen, Feng, Guo, Guangcan, Zhou, Qiang
Light-matter interface is an important building block for long-distance quantum networks. Towards a scalable quantum network with high-rate quantum information processing, it requires to develop integrated light-matter interfaces with broadband and m
Externí odkaz:
http://arxiv.org/abs/2410.18516