Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Qiu, Ruihong"'
On social media sharing platforms, some posts are inherently destined for popularity. Therefore, understanding the reasons behind this phenomenon and predicting popularity before post publication holds significant practical value. The previous work p
Externí odkaz:
http://arxiv.org/abs/2410.09345
Irregular time series, where data points are recorded at uneven intervals, are prevalent in healthcare settings, such as emergency wards where vital signs and laboratory results are captured at varying times. This variability, which reflects critical
Externí odkaz:
http://arxiv.org/abs/2409.16554
Offline reinforcement learning (RL) is an effective tool for real-world recommender systems with its capacity to model the dynamic interest of users and its interactive nature. Most existing offline RL recommender systems focus on model-based RL thro
Externí odkaz:
http://arxiv.org/abs/2407.13163
Large-scale graphs are valuable for graph representation learning, yet the abundant data in these graphs hinders the efficiency of the training process. Graph condensation (GC) alleviates this issue by compressing the large graph into a significantly
Externí odkaz:
http://arxiv.org/abs/2405.14246
Legal case retrieval (LCR) is a specialised information retrieval task that aims to find relevant cases to a given query case. LCR holds pivotal significance in facilitating legal practitioners in finding precedents. Most of existing LCR methods are
Externí odkaz:
http://arxiv.org/abs/2405.11791
In case law, the precedents are the relevant cases that are used to support the decisions made by the judges and the opinions of lawyers towards a given case. This relevance is referred to as the case-to-case reference relation. To efficiently find r
Externí odkaz:
http://arxiv.org/abs/2403.17780
When handling streaming graphs, existing graph representation learning models encounter a catastrophic forgetting problem, where previously learned knowledge of these models is easily overwritten when learning with newly incoming graphs. In response,
Externí odkaz:
http://arxiv.org/abs/2312.14439
Legal case retrieval is an information retrieval task in the legal domain, which aims to retrieve relevant cases with a given query case. Recent research of legal case retrieval mainly relies on traditional bag-of-words models and language models. Al
Externí odkaz:
http://arxiv.org/abs/2312.11229
Continual graph learning (CGL) is purposed to continuously update a graph model with graph data being fed in a streaming manner. Since the model easily forgets previously learned knowledge when training with new-coming data, the catastrophic forgetti
Externí odkaz:
http://arxiv.org/abs/2309.09455
As social media becomes increasingly popular, more and more public health activities emerge, which is worth noting for pandemic monitoring and government decision-making. Current techniques for public health analysis involve popular models such as BE
Externí odkaz:
http://arxiv.org/abs/2309.05951