activity
20222024
most citedMemory-Guided Multi-View Multi-Domain Fake News Detection

139 citations · 155 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20244 cited

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation

Yuting Zhang, Yiqing Wu, Ruidong Han +7

Recommendation systems, which assist users in discovering their preferred items among numerous options, have served billions of users across various online platforms. Intuitively,…

cs.IR202412 cited

Interest Clock: Time Perception in Real-Time Streaming Recommendation System

Yongchun Zhu, Jingwu Chen, Ling Chen +3

User preferences follow a dynamic pattern over a day, e.g., at 8 am, a user might prefer to read news, while at 8 pm, they might prefer to watch movies. Time modeling aims to enabl…

cs.CV2023

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning

Xin Qin, Jindong Wang, Shuo Ma +4

Human activity recognition (HAR) is a time series classification task that focuses on identifying the motion patterns from human sensor readings. Adequate data is essential but a m…

cs.IR2023

Attacking Pre-trained Recommendation

Yiqing Wu, Ruobing Xie, Zhao Zhang +5

Recently, a series of pioneer studies have shown the potency of pre-trained models in sequential recommendation, illuminating the path of building an omniscient unified pre-trained…

cs.CL2022139 cited

Memory-Guided Multi-View Multi-Domain Fake News Detection

Yongchun Zhu, Qiang Sheng, Juan Cao +5

The wide spread of fake news is increasingly threatening both individuals and society. Great efforts have been made for automatic fake news detection on a single domain (e.g., poli…