activity
20162023
most citedContinuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction

41 citations · 67 across the 11 of their papers we have counts for

collaborators

28 papers

cs.LG2024

Labor Migration Modeling through Large-scale Job Query Data

Zhuoning Guo, Le Zhang, Hengshu Zhu +3

Accurate and timely modeling of labor migration is crucial for various urban governance and commercial tasks, such as local policy-making and business site selection. However, exis…

cs.CV2024

On the Generalization and Causal Explanation in Self-Supervised Learning

Wenwen Qiang, Zeen Song, Ziyin Gu +4

Self-supervised learning (SSL) methods learn from unlabeled data and achieve high generalization performance on downstream tasks. However, they may also suffer from overfitting to…

cs.CV2024

CinePreGen: Camera Controllable Video Previsualization via Engine-powered Diffusion

Yiran Chen, Anyi Rao, Xuekun Jiang +5

With advancements in video generative AI models (e.g., SORA), creators are increasingly using these techniques to enhance video previsualization. However, they face challenges with…

cs.CL20241 cited

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models

Feihu Jiang, Chuan Qin, Kaichun Yao +4

Efficient knowledge management plays a pivotal role in augmenting both the operational efficiency and the innovative capacity of businesses and organizations. By indexing knowledge…

cs.IR2024

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations

Wei Wu, Chao Wang, Dazhong Shen +3

Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture colla…

cs.CL20241 cited

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach

Feihu Jiang, Chuan Qin, Jingshuai Zhang +6

In the contemporary era of widespread online recruitment, resume understanding has been widely acknowledged as a fundamental and crucial task, which aims to extract structured info…