activity
20172020
most citedInteractive Steering of Hierarchical Clustering

54 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG202054 cited

Interactive Steering of Hierarchical Clustering

Weikai Yang, Xiting Wang, Jie Lu +2

Hierarchical clustering is an important technique to organize big data for exploratory data analysis. However, existing one-size-fits-all hierarchical clustering methods often fail…

math.OC20201 cited

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent

Bowen Weng, Huaqing Xiong, Yingbin Liang +1

Existing convergence analyses of Q-learning mostly focus on the vanilla stochastic gradient descent (SGD) type of updates. Despite the Adaptive Moment Estimation (Adam) has been co…

cs.CL2020

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network

Chi Xu, Hao Feng, Guoxin Yu +3

Most recent existing aspect-term level sentiment analysis (ATSA) approaches combined various neural network models with delicately carved attention mechanisms built upon given aspe…

cs.IR201930 cited

A Neural Influence Diffusion Model for Social Recommendation

Le Wu, Peijie Sun, Yanjie Fu +3

Precise user and item embedding learning is the key to building a successful recommender system. Traditionally, Collaborative Filtering(CF) provides a way to learn user and item em…

cs.LG20174 cited

Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

Shixia Liu, Xiting Wang, Mengchen Liu +1

Interactive model analysis, the process of understanding, diagnosing, and refining a machine learning model with the help of interactive visualization, is very important for users…