En Xu

Orcid: 0000-0002-8654-2788

According to our database1, En Xu authored at least 21 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation.
CoRR, April, 2026

On the Accuracy Limits of Sequential Recommender Systems: An Entropy-Based Approach.
CoRR, March, 2026

A Diffusive Data Augmentation Framework for Reconstruction of Complex Network Evolutionary History.
IEEE Trans. Knowl. Data Eng., February, 2026

Inferring Network Evolutionary History via Structure-State Coupled Learning.
CoRR, January, 2026

A survey of physics-informed AI for complex urban systems.
Inf. Fusion, 2026

2025
Predictability of Complex Systems.
CoRR, October, 2025

QZhou-Embedding Technical Report.
CoRR, August, 2025

Upper bound on the predictability of rating prediction in recommender systems.
Inf. Process. Manag., 2025

A 3D end-to-end multi-task learning network for predicting lymph node metastasis at multiple nodal stations in gastric cancer.
Biomed. Signal Process. Control., 2025

2024
Predictability in Human Mobility: From Individual to Collective (Vision Paper).
ACM Trans. Spatial Algorithms Syst., June, 2024

Limits of predictability in top-N recommendation.
Inf. Process. Manag., 2024

Comparing discriminating abilities of evaluation metrics in link prediction.
CoRR, 2024

An Improved Dual Stream DGCNN Method for Fine-Grained Positive Emotion Classification.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023
Quantifying predictability of sequential recommendation via logical constraints.
Frontiers Comput. Sci., October, 2023

Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity.
ACM Trans. Intell. Syst. Technol., 2023

Limits of Predictability in Top-N Recommendation.
CoRR, 2023

2022
Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network.
Data Min. Knowl. Discov., 2022

Equivalence between Time Series Predictability and Bayes Error Rate.
CoRR, 2022

2021
Core Interest Network for Click-Through Rate Prediction.
ACM Trans. Knowl. Discov. Data, 2021

2019
Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data.
IEEE Internet Things J., 2019

2017
CHIP: A children identification system based on mobile phone sensory data.
Proceedings of the 2017 IEEE SmartWorld, 2017


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