Zobrazeno 1 - 10
of 672
pro vyhledávání: '"Zhang, Zhiling"'
The widespread use of face recognition technology has given rise to privacy concerns, as many individuals are worried about the collection and utilization of their facial data. To address these concerns, researchers are actively exploring the concept
Externí odkaz:
http://arxiv.org/abs/2310.16061
Autor:
Guo, Zihan, Yao, Jiali, Qi, Dalong, Ding, Pengpeng, Jin, Chengzhi, Xu, Ning, Zhang, Zhiling, Yao, Yunhua, Deng, Lianzhong, Wang, Zhiyong, Sun, Zhenrong, Zhang, Shian
Hyperspectrally compressed ultrafast photography (HCUP) based on compressed sensing and the time- and spectrum-to-space mappings can simultaneously realize the temporal and spectral imaging of non-repeatable or difficult-to-repeat transient events pa
Externí odkaz:
http://arxiv.org/abs/2309.02835
Empowering chatbots in the field of mental health is receiving increasing amount of attention, while there still lacks exploration in developing and evaluating chatbots in psychiatric outpatient scenarios. In this work, we focus on exploring the pote
Externí odkaz:
http://arxiv.org/abs/2305.13614
Controlling chatbot utterance generation with multiple attributes such as personalities, emotions and dialogue acts is a practically useful but under-studied problem. We propose a novel framework called DASC that possesses strong controllability with
Externí odkaz:
http://arxiv.org/abs/2305.02820
Autor:
Xu, Xuenan, Zhang, Zhiling, Zhou, Zelin, Zhang, Pingyue, Xie, Zeyu, Wu, Mengyue, Zhu, Kenny Q.
Compared with ample visual-text pre-training research, few works explore audio-text pre-training, mostly due to the lack of sufficient parallel audio-text data. Most existing methods incorporate the visual modality as a pivot for audio-text pre-train
Externí odkaz:
http://arxiv.org/abs/2303.07902
Publikováno v:
中西医结合护理, Vol 10, Iss 2, Pp 198-202 (2024)
This paper summarized the postoperative nursing measures for a patient undergoing left-sided pneumonectomy for lung cancer. Based on the concept of enhanced recovery after surgery (ERAS), comprehensive nursing interventions such as exercise training,
Externí odkaz:
https://doaj.org/article/56975ef98f8b4f9180a7051eb5d2bc4e
Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability, due to lack of symptom modeling. This paper introduces PsySym, the first annotated symptom identification corpus of multiple psychiatric di
Externí odkaz:
http://arxiv.org/abs/2205.11308
Depression is a prominent health challenge to the world, and early risk detection (ERD) of depression from online posts can be a promising technique for combating the threat. Early depression detection faces the challenge of efficiently tackling stre
Externí odkaz:
http://arxiv.org/abs/2205.09497
Automated audio captioning aims at generating textual descriptions for an audio clip. To evaluate the quality of generated audio captions, previous works directly adopt image captioning metrics like SPICE and CIDEr, without justifying their suitabili
Externí odkaz:
http://arxiv.org/abs/2110.04684
Audio tagging aims at predicting sound events occurred in a recording. Traditional models require enormous laborious annotations, otherwise performance degeneration will be the norm. Therefore, we investigate robust audio tagging models in low-resour
Externí odkaz:
http://arxiv.org/abs/2110.01009