Zobrazeno 1 - 10
of 22 217
pro vyhledávání: '"WANG, HAN"'
The proliferation of Connected Automated Vehicles represents an unprecedented opportunity for improving driving efficiency and alleviating traffic congestion. However, existing research fails to address realistic multi-lane highway scenarios without
Externí odkaz:
http://arxiv.org/abs/2412.02520
Vision Language Models (VLMs) can produce unintended and harmful content when exposed to adversarial attacks, particularly because their vision capabilities create new vulnerabilities. Existing defenses, such as input preprocessing, adversarial train
Externí odkaz:
http://arxiv.org/abs/2411.16721
Autor:
Wang, Han-Guang, Hou, Hui-Rang, Jin, Li-Cheng, Xu, Chen-Yang, Zhang, Zhong-Yi, Meng, Qing-Hao
Background and Objective: Depression is a severe mental disorder, and accurate diagnosis is pivotal to the cure and rehabilitation of people with depression. However, the current questionnaire-based diagnostic methods could bring subjective biases an
Externí odkaz:
http://arxiv.org/abs/2411.08521
When facing time-variant problems in analog computing, the desirable RNN design requires finite-time convergence and robustness with respect to various types of uncertainties, due to the time-variant nature and difficulties in implementation. It is v
Externí odkaz:
http://arxiv.org/abs/2411.07570
Extreme weather events have led to long-duration outages in the distribution system (DS), necessitating novel approaches to blackstart and restore the system. Existing blackstart solutions utilize blackstart units to establish multiple microgrids, se
Externí odkaz:
http://arxiv.org/abs/2411.06567
Autor:
Wang, Junda, Li, Weijian, Wang, Han, Lyu, Hanjia, Thirukumaran, Caroline P., Mesfin, Addisu, Yu, Hong, Luo, Jiebo
Causal inference and model interpretability are gaining increasing attention, particularly in the biomedical domain. Despite recent advance, decorrelating features in nonlinear environments with human-interpretable representations remains underexplor
Externí odkaz:
http://arxiv.org/abs/2411.06338
Autor:
Guo, Xuerong, Ke, Yinan, Xiao, Yifan, Chen, Huaxi, Miao, ChenChen, Wang, Pei, Li, Di, Wang, Han, Jin, Chenwu, He, Ling, Feng, Yi, Zhang, Yongkun, Xu, Jiaying, Chen, Guangyong
Fast Radio Burst (FRB) is an extremely energetic cosmic phenomenon of short duration. Discovered only recently and with yet unknown origin, FRBs have already started to play a significant role in studying the distribution and evolution of matter in t
Externí odkaz:
http://arxiv.org/abs/2411.02859
Effective communication is an essential component in collaborative multi-agent systems. Situations where explicit messaging is not feasible have been common in human society throughout history, which motivate the study of implicit communication. Prev
Externí odkaz:
http://arxiv.org/abs/2411.01553
Autor:
Koeplinger, David, Gandhi, Darshan, Nandkar, Pushkar, Sheeley, Nathan, Musaddiq, Matheen, Zhang, Leon, Goodbar, Reid, Shaffer, Matthew, Wang, Han, Wang, Angela, Wang, Mingran, Prabhakar, Raghu
Token generation speed is critical to power the next wave of AI inference applications. GPUs significantly underperform during token generation due to synchronization overheads at kernel boundaries, utilizing only 21% of their peak memory bandwidth.
Externí odkaz:
http://arxiv.org/abs/2410.23668
Massive black hole binaries are one of the important sources for the TianQin project. Our research has revealed that, for TianQin, the signal-to-noise ratio squared during the inspiral phase of massive black hole binaries exhibits a direct proportion
Externí odkaz:
http://arxiv.org/abs/2410.19401