activity
20222026
most citedWhat is Next when Sequential Prediction Meets Implicitly Hard Interaction?

22 citations · 65 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.IR2024

A Survey on Bundle Recommendation: Methods, Applications, and Challenges

Meng Sun, Lin Li, Ming Li +5

In recent years, bundle recommendation systems have gained significant attention in both academia and industry due to their ability to enhance user experience and increase sales by…

cs.IR2024

MealRec: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness

Ming Li, Lin Li, Xiaohui Tao +1

Meal recommendation, as a typical health-related recommendation task, contains complex relationships between users, courses, and meals. Among them, meal-course affiliation associat…

cs.LG2024

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction

Kaixi Hu, Lin Li, Qing Xie +2

Granularity and accuracy are two crucial factors for crime event prediction. Within fine-grained event classification, multiple criminal intents may alternately exhibit in precedin…

cs.LG2024

Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment

Xiaohua Wu, Lin Li, Xiaohui Tao +2

Happiness computing based on large-scale online web data and machine learning methods is an emerging research topic that underpins a range of issues, from personal growth to social…

cs.LG2024★ 2 cited

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks

Simi Job, Xiaohui Tao, Taotao Cai +3

The exploration of Graph Neural Networks (GNNs) for processing graph-structured data has expanded, particularly their potential for causal analysis due to their universal approxima…

cs.IR2024

Persona-centric Metamorphic Relation guided Robustness Evaluation for Multi-turn Dialogue Modelling

Yanbing Chen, Lin Li, Xiaohui Tao +1

Recently there has been significant progress in the field of dialogue system thanks to the introduction of training paradigms such as fine-tune and prompt learning. Persona can fun…