20 citations · 50 across the 10 of their papers we have counts for
10 papers
Explainable Recommendation with Personalized Review Retrieval and Aspect Learning
Hao Cheng, Shuo Wang, Wensheng Lu +4
Explainable recommendation is a technique that combines prediction and generation tasks to produce more persuasive results. Among these tasks, textual generation demands large amou…
Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation
Hao Liao, Sheng Bi, Jiao Wu +4
In this paper, we present an algorithmic study on how to surpass competitors in popularity by strategic promotions in social networks. We first propose a novel model, in which we i…
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation
Zhihao Zhu, Chenwang Wu, Min Zhou +3
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and easily fooled by small perturbations, which has raised considerable concerns for adapting GNNs in various sa…
Gunrock 2.0: A User Adaptive Social Conversational System
Kaihui Liang, Austin Chau, Yu Li +8
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0 combines various neural natural language understanding modules, including named entity detec…
Addressing Time Bias in Bipartite Graph Ranking for Important Node Identification
Hao Liao, Jiao Wu, Mingyang Zhou +1
The goal of the ranking problem in networks is to rank nodes from best to worst, according to a chosen criterion. In this work, we focus on ranking the nodes according to their qua…
Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
Mingyang Zhou, Josh Arnold, Zhou Yu
Reinforcement learning (RL) is an effective approach to learn an optimal dialog policy for task-oriented visual dialog systems. A common practice is to apply RL on a neural sequenc…