Publications (11)
Attention-based Hierarchical Neural Query Suggestion
Wanyu Chen, Fei Cai, Honghui Chen +1
Query suggestions help users of a search engine to refine their queries. Previous work on query suggestion has mainly focused on incorporating directly observable features such as…
MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
Yuzhuo Dang, Xin Zhang, Zhiqiang Pan +4
Multimodal recommendation combines the user historical behaviors with the modal features of items to capture the tangible user preferences, presenting superior performance compared…
A Hierarchically Feature Reconstructed Autoencoder for Unsupervised Anomaly Detection
Honghui Chen, Pingping Chen, Huan Mao +1
Anomaly detection and localization without any manual annotations and prior knowledge is a challenging task under the setting of unsupervised learning. The existing works achieve e…
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
Qisen Yang, Zekun Wang, Honghui Chen +6
Psychological measurement is essential for mental health, self-understanding, and personal development. Traditional methods, such as self-report scales and psychologist interviews,…
HAAP: Vision-context Hierarchical Attention Autoregressive with Adaptive Permutation for Scene Text Recognition
Honghui Chen, Yuhang Qiu, Jiabao Wang +2
Scene Text Recognition (STR) is challenging in extracting effective character representations from visual data when text is unreadable. Permutation language modeling (PLM) is intro…
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing
Yanjun Li, Zhaoyang Li, Honghui Chen +1
Video Scene Graph Generation (VidSGG) aims to capture dynamic relationships among entities by sequentially analyzing video frames and integrating visual and semantic information. H…