1. Yin Yang Shi: Ping An Wu Yu 2nd Season - Statistics - MyAnimeList.net
See scores, popularity and other stats for the anime Yin Yang Shi: Ping An Wu Yu 2nd Season on MyAnimeList, the internet's largest anime database.
See scores, popularity and other stats for the anime Yin Yang Shi: Ping An Wu Yu 2nd Season on MyAnimeList, the internet's largest anime database. The courtyard is awash with cherry blossom petals, appearing especially beautiful in the moonlight. Kagura, waking up, sits in the hallway facing the courtyard, "The courtyard at night, seems like something can happen anytime......" Suddenly a butterfly glides past, its scales glittering. Kochou no Sei: That's right. Nighttime is indeed suitable for t...
2. Yin Yang Shi: Ping An Wu Yu 2nd Season - MyAnimeList.net
Bevat niet: poll | Resultaten tonen met:poll
The courtyard is awash with cherry blossom petals, appearing especially beautiful in the moonlight. Kagura, waking up, sits in the hallway facing the courtyard, "The courtyard at night, seems like something can happen anytime......" Suddenly a butterfly glides past, its scales glittering. Kochou no Sei: That's right. Nighttime is indeed suitable for telling stories. Kagura grows sleepy under the influence of dust. Kochou no Sei: After Kagura-sama falls asleep - that will be the beginning of the story in the dream! (Source: Onmyoji Wiki)
3. Yinyang Shi: Pingan Wuyu (Anime) - aniSearch.com
21 apr 2018 · A short plot summary about the anime “Yinyang Shi: Pingan Wuyu” would help many anime and manga fans decide whether they want to watch this show or not.
Information about the anime Yinyang Shi: Pingan Wuyu from studio BLADE with the main genre ?
4. Yin Yang Shi: Ping An Wu Yu Watch Order - chiaki.site
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2019–2024 chiaki.site, contact
5. Depressive Symptoms Among Children and Adolescents in China
Batteries of analyses in this meta-analysis were undertaken using Stata version 12.0 statistical software. Results. Sixty-two related reports involving 232 586 ...
Depressive symptoms are a pervasive mental health problem in Chinese adolescents. The aim of this article was to systematically assess the trend of depressive symptoms in China among adolescents (1988 to 2018). A systematic and comprehensive ...
6. Main Track Accepted Papers - IJCAI 2024
Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan ... Yang Yu, Qiyue Yin, Junge Zhang, Pei Xu, Kaiqi Huang. 6 min. talk | ...
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7. Accepted Papers - CIKM 2024
Mengduo Yang,Jie Zhou,Meng Xi,Xiaohua Pan,Yi Yuan,Ying Li,Yangyang Wu,Jinshan Zhang,Jianwei Yin. fp0642, A General Strategy Graph Collaborative Filtering for ...
Full Research Papers
8. APSIPA Transactions on Signal and Information Processing
Indexed in: Emerging Sources Citation Index (JIF 3.2), SCOPUS, Engineering Village (EI), DOAJ, EBSCOhost (Applied Science & Technology Source, ...
APSIPA Transactions on Signal and Information Processing
9. Journal of Computer Science and Technology
Ming Wan, Geng Wang, Shi-Feng Sun, Da-Wu Gu, Gong-Yu Shi. Efficient Function-Hiding Inner Product Functional Encryption and Its Application to Fine-grained ...
Just Accepted：A “Just Accepted” submission is published online shortly after its acceptance for publication prior to technical editing and formatting and author proofing. Please note that technical editing may introduce changes to the manuscript text and graphics which may affect the content, and all legal disclaimers that apply to the journal pertain. In no event shall JCST be held responsible for errors or consequences arising from the use of any information contained in these “Just Accepted” articles. To cite a Just Accepted article, please use its Digital Object Identifier (DOI), which is identical for all formats of publication.
10. RecSys 2024 - Accepted Contributions
RESAccelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems by Yunfan Wu (Chinese Academy of ...
Accepted Contributions
11. Research Track Papers - ACM KDD 2024
Research Track Papers Schedule Tuesday, August 27 11:00-13:00, Room 116 Theme: LLMs Session Chair: Carl Yang (Emory University)
Research Track Papers Schedule Tuesday, August 27 11:00-13:00, Room 116Theme: LLMsSession Chair: Carl Yang (Emory University) On Early Detection of Hallucinations in Factual Question Answering Ben Snyder (Amazon Web Services); Marius Moisescu (Amazon Web Services); Muhammad Bilal Zafar (Ruhr-Universität Bochum, Research Center for Trustworthy Data Science and Security, University Alliance Ruhr) A Hierarchical Context Augmentation […]
12. SIGIR 2024 Proceedings
Two typical forms of bias in user interaction data with recommender systems (RSs) are popularity bias and positivity bias, which manifest themselves as the over ...
How to best represent words, documents, queries, entities, relations, and other variables in information retrieval (IR) and related applications has been a fundamental research question for decades. Early IR systems relied on the independence assumptions about words and documents for simplicity and scalability, which were clearly sub-optimal from a semantic point of view. The rapid development of deep neural networks in the past decade has revolutionized the representation learning technologies for contextualized word embedding and graph-enhanced document embedding, leading to the new era of dense IR. This talk highlights such impactful shifts in representation learning for IR and related areas, the new challenges coming along and the remedies, including our recent work in large-scale dense IR [1, 9], in graph-based reasoning for knowledge-enhanced predictions [10], in self-refinement of large language models (LLMs) with retrieval augmented generation (RAG)[2,7] and iterative feedback [3,4], in principle-driven self-alignment of LLMs with minimum human supervision [6], etc. More generally, the power of such deep learning goes beyond IR enhancements, e.g., for significantly improving the state-of-the-art solvers for NP-Complete problems in classical computer science [5,8].
13. Proceedings of the Thirty-Second International Joint Conference on ...
Macao, SAR · Edited by Edith Elkind · Sponsored by. International Joint Conferences on Artifical Intelligence (IJCAI) · Published by. International Joint ...
19-25 August 2023
14. Main Conference - EMNLP 2024
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang. EHRAgent: Code Empowers Large Language Models for Few-shot ...
The Accepted Main Conference Papers of EMNLP 2024
15. Wednesday, 03 July - Program - HCI International 2024
Qiu-Ze Wu, P.R. China; Yu-Ling Lien, Hsien-Hui Tang, Taiwan; Michael T Lai ... Events Remembering Support Via Character Relationships' Visualization of Novels
The times indicated are in "Eastern Daylight Time - EDT (Washington DC, USA)"You can check your local time, using an online time conversion tool, such as www.timeanddate.com
16. Quantitative study of storm surge risk assessment in an undeveloped ...
14 jun 2024 · Yu, L., Qin, H., Huang, S., Wei, W., Jiang, H., and Mu, L.: Quantitative study of storm surge risk assessment in an undeveloped coastal area of ...
Abstract. Storm surges are a common natural hazard in China's southern coastal area which usually cause a great loss of human life and financial damages. With the economic development and population concentration of coastal cities, storm surges may result in more impacts and damage in the future. Therefore, it is of vital importance to conduct risk assessment to identify high-risk areas and evaluate economic losses. However, quantitative study of storm surge risk assessment in undeveloped areas of China is difficult, since there is a lack of building character and damage assessment data. Aiming at the problem of data missing in undeveloped areas of China, this paper proposes a methodology for conducting storm surge risk assessment quantitatively based on deep learning and geographic information system (GIS) techniques. Five defined storm surge inundation scenarios with different typhoon return periods are simulated by the coupled FVCOM–SWAN (Finite Volume Coastal Ocean Model–Simulating WAves Nearshore) model, the reliability of which is validated using official measurements. Building footprints of the study area are extracted through the TransUNet deep learning model and remote sensing images, while building heights are obtained through unoccupied aerial vehicle (UAV) measurements. Subsequently, economic losses are quantitatively calculated by combining the adjusted depth–damage functions and overlaying an analysis of the buildings exposed to storm surge inundation. Zoning ma...
17. Kybernetes | Emerald Insight
Kybernetes Issue(s) available: 366 – From Volume: 1 Issue: 1, to Volume: 53 Issue: 13 Strapline: The international journal of cybernetics, systems and ...
Kybernetes available volumes and issues
18. Explore advancements in Machine Learning
Explore advancements in state of the art machine learning research in speech and natural language, privacy, computer vision, health, and more.
19. The Web Conf 2024 ) | Accepted Papers - Research Tracks
Ping Wu, Heyan Huang, Zhengyang Liu. Fast Inference of Removal-Based Node ... Zhang Zhong Jian, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi.
The submission versions of these accepted papers as well as their reviews can be found on OpenReview. The camera-ready versions can be found on ACM Digital Library. Free access in perpetuity is offered via SIGWEB.
20. Onmyouji: Heian Monogatari | AnimeSchedule
Season. Spring 2018. Release Date. Apr 21, 2018. Status. Finished ... Yinyang Shi: Pingan Wuyu. Yin Yang Shi: Ping An Wu Yu. Anime Tracking. Anime Tracking.
The courtyard is awash with cherry blossom petals, appearing especially beautiful in the moonlight. Kagura, waking up, sits in the hallway facing the courtyard, "The courtyard at night, it seems like something can happen at anytime......"Suddenly a butterfly glides past, its scales glittering - Kochou no Sei. That's right, nighttime is indeed suitable for telling stories. Kagura grows sleepy under the influence of dust - Kochou no Sei. And after Kagura-sama falls asleep - that will be the beginning of the story in the dream!(Source: Onmyoji Wiki)
