在2015年获得电子科技大学数学与应用数学专业理学学位,之后在中科院自动化所模式识别国家重点实验室攻读博士学位,主要研究方向为基于关系的深度学习,包括自动机器学习、网络压缩、深度图网络、深度无监督学习等等。目前已在IEEE T-PAMI(2篇), NeurIPS和ICCV (Oral) 等机器学习与计算机视觉顶级期刊和会议发表学术论文。 分...
confined to learning from a single target table, fail to utilize the rich information available in multiple tables and their interconnections, resulting in suboptimal performance. In contrast, the BRIDGE algorithm demonstrates superior capabilities by effectively combi...
Yet, there is a grave lack of agreement concerning these terms in much of the literature on AI. We argue that the seminal distinction made by the philosopher and physician Karl Jaspers between different types of explaining and understanding in psychopathology can be used to promote greater ...
(1) investors who are interested in First-in-Class immuno-oncology therapy research and development projects and iequity nvestment in biotech startup; 2)representatives from companies that are interested in collaboration with AI/machine learning algorith development team) 辉凌制药 Ferring Pharmaceuticals...
nlpaitoolinformation-extractionknowledge-graphopenaievent-extractionnerzero-shotrelation-extractioneventexecutorllmchatgptchatgpt-appevent-extraciton UpdatedMay 28, 2024 Python 中文实体关系抽取,pytorch,bilstm+attention pytorchchineseattentionrelation-extractionnrebilstmbilstm-attention ...
Are there similarities between the LRET of MPs and POPs? What do we know about the role that MPs play as vectors of LRET for PACs? It should be noted that I focus primarily on the issue of MPs as potential vectors of PACs, primarily because these are chemicals we know are added to pl...
基于关系的深度学习(Relation-based Deep Learning) 分享背景 作为当下最受欢迎的机器学习方法之一,深度神经网络在很多领域取得了非凡的成绩。但是目前的深度神经网络模型依旧存在很多局限性,例如无法自动地设计网络结构、无法有效地降低网络中的参数冗余度、很难处理嵌入在非欧几里得空间的数据和无标签的数据等等。
(1) investors who are interested in First-in-Class immuno-oncology therapy research and development projects and iequity nvestment in biotech startup; 2)representatives from companies that are interested in collaboration with AI/machine learning algorith development team) 辉凌制药 Ferring Pharmaceuticals...
In this context, Relation Extraction (RE) task captured considerable interest in the biomedical community as the knowledge stored in the biomedical data may contain valuable insights about the relationships between entities—e.g., protein–protein, gene–disease, drug–drug, and drug–target interactio...
The core concept of relation networks is to use the relationship between the support set and the query set for classification in few-shot learning tasks. This process consists of two stages: first, the embedding module extracts signal features from the support and query sets respectively. Then, ...