41 citations · 54 across the 9 of their papers we have counts for
9 papers
TempGlitch: Evaluating Vision-Language Models for Temporal Glitch Detection in Gameplay Videos
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Vision-language models (VLMs) are increasingly being explored for video game quality assurance, especially gameplay glitch detection. Most existing evaluations, however, treat glit…
RefGlitch-Bench: A Benchmark for Reference-based Gameplay Glitch Detection with Vision-Language Models
Yakun Yu, Ashley Wiens, Adrián Barahona-Ríos +4
Visual glitches in video games degrade player experience and perceived quality, yet manual quality assurance cannot keep pace with the growing test surface of modern game developme…
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models
Yakun Yu, Shi-ang Qi, Jiuding Yang +2
Current recommender systems employ large-sized embedding tables with uniform dimensions for all features, leading to overfitting, high computational cost, and suboptimal generalizi…
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Yakun Yu, Mingjun Zhao, Shi-ang Qi +6
Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation…
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
Yakun Yu, Jiuding Yang, Weidong Guo +3
With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically…
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
Mingjun Zhao, Yakun Yu, Xiaoli Wang +2
Despite the success of deep learning in video understanding tasks, processing every frame in a video is computationally expensive and often unnecessary in real-time applications. F…
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
Jiuding Yang, Weidong Guo, Bang Liu +6
Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the…
Generating Lode Runner Levels by Learning Player Paths with LSTMs
Kynan Sorochan, Jerry Chen, Yakun Yu +1
Machine learning has been a popular tool in many different fields, including procedural content generation. However, procedural content generation via machine learning (PCGML) appr…
Neural Architecture Search For Keyword Spotting
Tong Mo, Yakun Yu, Mohammad Salameh +2
Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice. In this paper, we apply neural archit…