Zobrazeno 1 - 10
of 8 609
pro vyhledávání: '"Xingyue An"'
Autor:
Melisa J. Montalvo, Irfan N. Bandey, Ali Rezvan, Kwan-Ling Wu, Arash Saeedi, Rohan Kulkarni, Yongshuai Li, Xingyue An, K M Samiur Rahman Sefat, Navin Varadarajan
Publikováno v:
Cell Death and Disease, Vol 15, Iss 2, Pp 1-14 (2024)
Abstract Chimeric antigen receptor (CAR) T cell show promise in cancer treatments, but their mechanism of action is not well understood. Decoding the mechanisms used by individual T cells can help improve the efficacy of T cells while also identifyin
Externí odkaz:
https://doaj.org/article/dcd48bed847c4f649497eacb88de0ec8
Autor:
Jay S Fine, Louis Matis, Stella Martomo, Xingyue An, Mohosin Sarkar, Abudukadier Abulizi, Guixian Jin, Evelyn Teran, Danielle Klaskin, Maria Hackett, Hayden Karp, Julio Rodriguez, Sonali Dhindwal, Changqing Yuan, Zengzu Lai, Jennifer Zeiger, Amber Fearnley, Oksana A Sergeeva, Eric M Tam, Tracy Lichter, Jeremy S Myers
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/26c6651b0b594272bbdce220e09fc635
Recent advancements in 3D generation models have opened new possibilities for simulating dynamic 3D object movements and customizing behaviors, yet creating this content remains challenging. Current methods often require manual assignment of precise
Externí odkaz:
http://arxiv.org/abs/2411.12789
Autor:
Yang, Fan, Huang, Xingyue
Line graph transformation has been widely studied in graph theory, where each node in a line graph corresponds to an edge in the original graph. This has inspired a series of graph neural networks (GNNs) applied to transformed line graphs, which have
Externí odkaz:
http://arxiv.org/abs/2410.16138
Traditional query answering over knowledge graphs -- or broadly over relational data -- is one of the most fundamental problems in data management. Motivated by the incompleteness of modern knowledge graphs, a new setup for query answering has emerge
Externí odkaz:
http://arxiv.org/abs/2409.13959
In the dynamic and rapidly advancing battery field, alloy anode materials are a focal point due to their superior electrochemical performance. Traditional screening methods are inefficient and time-consuming. Our research introduces a machine learnin
Externí odkaz:
http://arxiv.org/abs/2409.09583
Reconstructing photo-realistic and topology-aware animatable human avatars from monocular videos remains challenging in computer vision and graphics. Recently, methods using 3D Gaussians to represent the human body have emerged, offering faster optim
Externí odkaz:
http://arxiv.org/abs/2408.09665
Sketch, a powerful artistic technique to capture essential visual information about real-world objects, is increasingly gaining attention in the image synthesis field. However, evaluating the quality of synthesized sketches presents unique unsolved c
Externí odkaz:
http://arxiv.org/abs/2408.08623
Automated nodule segmentation is essential for computer-assisted diagnosis in ultrasound images. Nevertheless, most existing methods depend on precise pixel-level annotations by medical professionals, a process that is both costly and labor-intensive
Externí odkaz:
http://arxiv.org/abs/2407.13553
Autor:
Mower, Christopher E., Wan, Yuhui, Yu, Hongzhan, Grosnit, Antoine, Gonzalez-Billandon, Jonas, Zimmer, Matthieu, Wang, Jinlong, Zhang, Xinyu, Zhao, Yao, Zhai, Anbang, Liu, Puze, Palenicek, Daniel, Tateo, Davide, Cadena, Cesar, Hutter, Marco, Peters, Jan, Tian, Guangjian, Zhuang, Yuzheng, Shao, Kun, Quan, Xingyue, Hao, Jianye, Wang, Jun, Bou-Ammar, Haitham
We present a framework for intuitive robot programming by non-experts, leveraging natural language prompts and contextual information from the Robot Operating System (ROS). Our system integrates large language models (LLMs), enabling non-experts to a
Externí odkaz:
http://arxiv.org/abs/2406.19741