48 citations · 142 across the 15 of their papers we have counts for
15 papers
ORDSIM: Ordinal Regression for E-Commerce Query Similarity Prediction
Md. Ahsanul Kabir, Mohammad Al Hasan, Aritra Mandal +2
Query similarity prediction task is generally solved by regression based models with square loss. Such a model is agnostic of absolute similarity values and it penalizes the regres…
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
Jun Zhuang, Mohammad Al Hasan
In recent years, plentiful evidence illustrates that Graph Convolutional Networks (GCNs) achieve extraordinary accomplishments on the node classification task. However, GCNs may be…
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks
Jun Zhuang, Mohammad Al Hasan
Supervised learning, while deployed in real-life scenarios, often encounters instances of unknown classes. Conventional algorithms for training a supervised learning model do not p…
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context
Md. Ahsanul Kabir, Typer Phillips, Xiao Luo +1
Semantic relationships, such as hyponym-hypernym, cause-effect, meronym-holonym etc. between a pair of entities in a sentence are usually reflected through syntactic patterns. Auto…
Dynamic topic modeling of the COVID-19 Twitter narrative among U.S. governors and cabinet executives
Hao Sha, Mohammad Al Hasan, George Mohler +1
A combination of federal and state-level decision making has shaped the response to COVID-19 in the United States. In this paper we analyze the Twitter narratives around this decis…
Reliability Maximization in Uncertain Graphs
Xiangyu Ke, Arijit Khan, Mohammad Al Hasan +1
Network reliability measures the probability that a target node is reachable from a source node in an uncertain graph, i.e., a graph where every edge is associated with a probabili…