Zobrazeno 1 - 10
of 840
pro vyhledávání: '"Li, Donghao"'
Autor:
Li, Donghao, Liao, Qiming, Xu, Beining, Zhou, Yaoting, Qin, Keyu, Xu, Zhongxiao, Shen, Heng, Huang, Lingling
Optical tweezer arrays of laser-cooled and individual controlled particles have revolutionized the atomic, molecular and optical physics, and they afford exquisite capabilities for applications in quantum simulation of many-body physics, quantum comp
Externí odkaz:
http://arxiv.org/abs/2407.05918
Decay constants of pseudoscalar mesons $D$, $D_s$, $\eta_c$ and vector mesons $D^*$, $D_s^*$, $J/\psi$ are determined from $N_f=2+1$ lattice QCD at a lattice spacing $a\sim0.08$ fm. For vector mesons, the decay constants defined by tensor currents ar
Externí odkaz:
http://arxiv.org/abs/2407.03697
Membership Inference Attacks (MIAs) pose a growing threat to privacy preservation in federated learning. The semi-honest attacker, e.g., the server, may determine whether a particular sample belongs to a target client according to the observed model
Externí odkaz:
http://arxiv.org/abs/2402.06289
Autor:
Li, Haoran, Guo, Dadi, Li, Donghao, Fan, Wei, Hu, Qi, Liu, Xin, Chan, Chunkit, Yao, Duanyi, Yao, Yuan, Song, Yangqiu
The rapid development of language models (LMs) brings unprecedented accessibility and usage for both models and users. On the one hand, powerful LMs achieve state-of-the-art performance over numerous downstream NLP tasks. On the other hand, more and
Externí odkaz:
http://arxiv.org/abs/2311.04044
This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support. Unlike generic chatbots, ChatCounselor is distinguished by its foundation in real conversations between consulting clients and profess
Externí odkaz:
http://arxiv.org/abs/2309.15461
Fish locomotion emerges from a diversity of interactions among deformable structures, surrounding fluids and neuromuscular activations, i.e., fluid-structure interactions (FSI) controlled by fish's motor systems. Previous studies suggested that such
Externí odkaz:
http://arxiv.org/abs/2307.08178
This paper investigates conservative exploration in reinforcement learning where the performance of the learning agent is guaranteed to be above a certain threshold throughout the learning process. It focuses on the tabular episodic Markov Decision P
Externí odkaz:
http://arxiv.org/abs/2306.06265
Random smoothing data augmentation is a unique form of regularization that can prevent overfitting by introducing noise to the input data, encouraging the model to learn more generalized features. Despite its success in various applications, there ha
Externí odkaz:
http://arxiv.org/abs/2305.03531
Privacy-preserving data release algorithms have gained increasing attention for their ability to protect user privacy while enabling downstream machine learning tasks. However, the utility of current popular algorithms is not always satisfactory. Mix
Externí odkaz:
http://arxiv.org/abs/2202.06467
Autor:
Hu, Jidong, Li, Yali, Shen, Sijin, Dong, Yunxia, Li, Donghao, Chen, Yongchao, Fu, Yujun, He, Deyan, Li, Junshuai
Publikováno v:
In Journal of Electroanalytical Chemistry 1 September 2024 968