Zobrazeno 1 - 10
of 4 619
pro vyhledávání: '"An, Tianyue"'
Autor:
Liu, Junpeng, Ou, Tianyue, Song, Yifan, Qu, Yuxiao, Lam, Wai, Xiong, Chenyan, Chen, Wenhu, Neubig, Graham, Yue, Xiang
Text-rich visual understanding-the ability to process environments where dense textual content is integrated with visuals-is crucial for multimodal large language models (MLLMs) to interact effectively with structured environments. To enhance this ca
Externí odkaz:
http://arxiv.org/abs/2410.13824
Autor:
Hu, Pengfei, Qian, Yuhang, Zheng, Tianyue, Li, Ang, Chen, Zhe, Gao, Yue, Cheng, Xiuzhen, Luo, Jun
Given the wide adoption of multimodal sensors (e.g., camera, lidar, radar) by autonomous vehicles (AVs), deep analytics to fuse their outputs for a robust perception become imperative. However, existing fusion methods often make two assumptions rarel
Externí odkaz:
http://arxiv.org/abs/2410.09747
Channel coding is vital for reliable data transmission in modern wireless systems, and its significance will increase with the emergence of sixth-generation (6G) networks, which will need to support various error correction codes. However, traditiona
Externí odkaz:
http://arxiv.org/abs/2410.03364
Autor:
Tang, Yongyang, Chen, Zhe, Li, Ang, Zheng, Tianyue, Lin, Zheng, Xu, Jia, Lv, Pin, Sun, Zhe, Gao, Yue
Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning systems. Existin
Externí odkaz:
http://arxiv.org/abs/2410.00392
Autor:
Ou, Tianyue, Xu, Frank F., Madaan, Aman, Liu, Jiarui, Lo, Robert, Sridhar, Abishek, Sengupta, Sudipta, Roth, Dan, Neubig, Graham, Zhou, Shuyan
LLMs can now act as autonomous agents that interact with digital environments and complete specific objectives (e.g., arranging an online meeting). However, accuracy is still far from satisfactory, partly due to a lack of large-scale, direct demonstr
Externí odkaz:
http://arxiv.org/abs/2409.15637
Autor:
Deng, Bangchao, Jing, Xin, Yang, Tianyue, Qu, Bingqing, Cudre-Mauroux, Philippe, Yang, Dingqi
Human trajectory data, which plays a crucial role in various applications such as crowd management and epidemic prevention, is challenging to obtain due to practical constraints and privacy concerns. In this context, synthetic human trajectory data i
Externí odkaz:
http://arxiv.org/abs/2409.13790
Flying through body-size narrow gaps in the environment is one of the most challenging moments for an underactuated multirotor. We explore a purely data-driven method to master this flight skill in simulation, where a neural network directly maps pix
Externí odkaz:
http://arxiv.org/abs/2409.00895
Autor:
Bianco, Michele, Giri, Sambit. K., Sharma, Rohit, Chen, Tianyue, Krishna, Shreyam Parth, Finlay, Chris, Nistane, Viraj, Denzel, Philipp, De Santis, Massimo, Ghorbel, Hatem
The low-frequency component of the upcoming Square Kilometre Array Observatory (SKA-Low) will be sensitive enough to construct 3D tomographic images of the 21-cm signal distribution during reionization. However, foreground contamination poses challen
Externí odkaz:
http://arxiv.org/abs/2408.16814
Autor:
Chen, Zhe, Hu, Chao, Zheng, Tianyue, Cao, Hangcheng, Yang, Yanbing, Chu, Yen, Jiang, Hongbo, Luo, Jun
Whereas Wi-Fi communications have been exploited for sensing purpose for over a decade, the bistatic or multistatic nature of Wi-Fi still poses multiple challenges, hampering real-life deployment of integrated sensing and communication (ISAC) within
Externí odkaz:
http://arxiv.org/abs/2408.09851
Recommendation systems now pervade the digital world, ranging from advertising to entertainment. However, it remains challenging to implement effective recommendation systems in the physical world, such as in mobility or health. This work focuses on
Externí odkaz:
http://arxiv.org/abs/2408.07897