Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Li, Siyuan"'
Autor:
Li, Siyuan, Wang, Yongpan, Dong, Chaopeng, Yang, Shouguo, Li, Hong, Sun, Hao, Lang, Zhe, Chen, Zuxin, Wang, Weijie, Zhu, Hongsong, Sun, Limin
Third-party libraries (TPLs) are extensively utilized by developers to expedite the software development process and incorporate external functionalities. Nevertheless, insecure TPL reuse can lead to significant security risks. Existing methods are e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e37654098fd6b2b01132df6f82781c2
The ability to recognize, localize and track dynamic objects in a scene is fundamental to many real-world applications, such as self-driving and robotic systems. Yet, traditional multiple object tracking (MOT) benchmarks rely only on a few object cat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97edc625a5a1c4d0a9448d9ad04cb31e
Autor:
Zhang, Qi, Hossain, Md Shafayat, Casas, Brian, Zheng, Wenkai, Cheng, Zi-Jia, Lai, Zhuangchai, Tu, Yi-Hsin, Chang, Guoqing, Yao, Yao, Li, Siyuan, Jiang, Yu-Xiao, Mardanya, Sougata, Chang, Tay-Rong, You, Jing-Yang, Feng, Yuan-Ping, Cheng, Guangming, Yin, Jia-Xin, Shumiya, Nana, Cochran, Tyler A., Yang, Xian P., Litskevich, Maksim, Yao, Nan, Watanabe, Kenji, Taniguchi, Takashi, Zhang, Hua, Balicas, Luis, Hasan, M. Zahid
Ongoing advances in superconductors continue to revolutionize technology thanks to the increasingly versatile and robust availability of lossless supercurrent. In particular high supercurrent density can lead to more efficient and compact power trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64a31c893caefe0ada45ff66f2358e6e
Autor:
Ye, Mingqiao, Ke, Lei, Li, Siyuan, Tai, Yu-Wing, Tang, Chi-Keung, Danelljan, Martin, Yu, Fisher
Object localization in general environments is a fundamental part of vision systems. While dominating on the COCO benchmark, recent Transformer-based detection methods are not competitive in diverse domains. Moreover, these methods still struggle to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d48b8490c6785dbe9d4f1bac03c4078
Autor:
Wu, Fang, Li, Siyuan, Wu, Lirong, Radev, Dragomir, Jiang, Yinghui, Jin, Xurui, Niu, Zhangming, Li, Stan Z.
The great success in graph neural networks (GNNs) provokes the question about explainability: Which fraction of the input graph is the most determinant of the prediction? Particularly, parametric explainers prevail in existing approaches because of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36601738ae9e84d2e0be7ff6c497b21
Autor:
Wang, Xiao, Zhou, Weikang, Zu, Can, Xia, Han, Chen, Tianze, Zhang, Yuansen, Zheng, Rui, Ye, Junjie, Zhang, Qi, Gui, Tao, Kang, Jihua, Yang, Jingsheng, Li, Siyuan, Du, Chunsai
Large language models have unlocked strong multi-task capabilities from reading instructive prompts. However, recent studies have shown that existing large models still have difficulty with information extraction tasks. For example, gpt-3.5-turbo ach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17018d9ba28379ec5bfad92ba8a8f353
Autor:
Zheng, Jiangbin, Wang, Yile, Tan, Cheng, Li, Siyuan, Wang, Ge, Xia, Jun, Chen, Yidong, Li, Stan Z.
Sign language recognition (SLR) is a weakly supervised task that annotates sign videos as textual glosses. Recent studies show that insufficient training caused by the lack of large-scale available sign datasets becomes the main bottleneck for SLR. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd8f3595fe22f2460b1ee7dfcac787a
Autor:
Yang, Rushuai, Bai, Chenjia, Guo, Hongyi, Li, Siyuan, Zhao, Bin, Wang, Zhen, Liu, Peng, Li, Xuelong
In reinforcement learning, unsupervised skill discovery aims to learn diverse skills without extrinsic rewards. Previous methods discover skills by maximizing the mutual information (MI) between states and skills. However, such an MI objective tends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ebeb45deca99b643ce733c501000033
Recent years have witnessed remarkable advances in spatiotemporal predictive learning, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated training strategies. Although impressive, the system complexity of mainstream met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0da21ca346263bd709c74e35fe5b66ff
Autor:
Zhu, Sha, Zhang, Yiwen, Ren, Yi, Wang, Yongji, Zhai, Kunpeng, Feng, Hanke, Jin, Ya, Lin, Zezhou, Feng, Jiaxue, Li, Siyuan, Yang, Qi, Zhu, Ning Hua, Pun, Edwin Yue-Bun, Wang, Cheng
Thin-film lithium niobate on insulator (LNOI) is a promising platform for optical communications, microwave photonics, and quantum technologies. While many high-performance devices like electro-optic modulators and frequency comb sources have been ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f541d99a0a63074afdfe937e08d63c4c