Qiang Yan

Genotype by environment interaction for growth traits of families of Acacia melanoxylon based on BLUP and GGE biplot

Shaoning Ruan, Bo Zhang, Weihao Zhang, Guochang Ding et autres

Acacia melanoxylon is a high-quality timber species renowned for its superior heartwood and wide global use. To assess its stability, adaptability, and productivity in Fujian Province, China, a regional trial involving 47 A. melanoxylon families was conducted across four sites. The study …

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Addressing Personalized Bias for Unbiased Learning to Rank

Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao et autres

Unbiased learning to rank (ULTR), which aims to learn unbiased ranking models from biased user behavior logs, plays an important role in Web search. Previous research on ULTR has studied a variety of biases in users' clicks, such as position bias, presentation …

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Dense Retrieval for Aggregated Search

Lang Mei, Ziyuan Zhao, Qiang Yan, Jiaxin Mao et autres

To satisfy users' diverse information needs, the aggregated search systems need to integrate heterogeneous results, with rich but different structural information, from a variety of verticals, such as news search, video search, and product search. A key challenge in aggregated search is …

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Dynamic Service Knowledge Base Construction at WeChat

Haoyang Li, Alexander Zhou, Qing Li, Ziyuan Zhao et autres

hk, cn (code pays fourni par la source)

Introductory Chapter: Biliary Tract-Disease, Treatment, and Quality of Life

Qiang Yan

None

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Single‐Cell Transcriptome Atlas and Dynamic Regulatory Mechanisms of Anther Development in Alfalfa ( Medicago sativa L.)

Shuhe Zhang, Lin Zhang, Jiahao Zhang, Zhenning Yang et autres

Anthers consist of various specialised cell types and play a significant role in plant reproduction. Although the molecular mechanisms underlying anther development and regulation have been extensively studied, the single-cell transcriptional landscape and dynamic regulation during anther development in M. sativa remain …

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Proanthocyanidins as the marker of amomum fruit from three botanical origins based on comprehensive profiling with LC–MS and GC–MS combined with chemometrics

Kai Deng, Huali Long, Qingqing He, Jinjun Hou et autres

INTRODUCTION: Amomum fruit, also known as Sharen, serves as both a functional food and a traditional Chinese medicine with significant pharmacological activities. However, there are three botanical origins of Amomum fruit: Amomum villosum Lour. (AVL), Amomum villosum Lour. var. xanthioides T. L. …

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Recent advances in combatting bacterial infections via well-designed metallacycles/metallacages

Qian Li, Huan Ye, Fang Zhao, Yuntao Li et autres

imaging, enabling integrated diagnosis and treatment. In this review, we summarize the design strategy and applications of SCCs in antibacterials or anti-biofilms and provide an outlook on future research.

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Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model

Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan et autres

With the promotion of the pre-training paradigm, researchers are increasingly focusing on injecting external knowledge, such as entities and triplets from knowledge graphs, into pre-trained language models (PTMs) to improve their understanding and logical reasoning abilities. This results in significant improvements in …

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A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat

Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang et autres

Click-through rate (CTR) estimation plays as a pivotal function module in various online services. Previous studies mainly apply CTR models to the field of recommendation or online advertisement. Indeed, CTR is also critical in information retrieval, since the CTR probability can serve …

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A Self-Correcting Sequential Recommender

Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren et autres

Sequential recommendations aim to capture users’ preferences from their historical interactions so as to predict the next item that they will interact with. Sequential recommendation methods usually assume that all items in a user’s historical interactions reflect her/his preferences and transition patterns …

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Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval

Mengmeng Kuang, Zhenhong Chen, Weiyan Wang, Lie Kang et autres

cn, hk (code pays fourni par la source)