Xu Chen

Orcid: 0000-0001-5041-0532

Affiliations:
  • Microsoft Research Asia, Beijing, China
  • Peking University, Beijing, China (former)


According to our database1, Xu Chen authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Source Free Graph Unsupervised Domain Adaptation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Professional Network Matters: Connections Empower Person-Job Fit.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TAROT: A Hierarchical Framework with Multitask co-pretraining on Semi-Structured Data Towards Effective Person-Job fit.
Proceedings of the IEEE International Conference on Acoustics, 2024

Text-to-Image Generation for Abstract Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A subspace constraint based approach for fast hierarchical graph embedding.
World Wide Web (WWW), September, 2023

Robust Mid-Pass Filtering Graph Convolutional Networks.
Proceedings of the ACM Web Conference 2023, 2023

Homophily-oriented Heterogeneous Graph Rewiring.
Proceedings of the ACM Web Conference 2023, 2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Concept Understanding in Large Language Models: An Empirical Study.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Neuron with Steady Response Leads to Better Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Source Free Unsupervised Graph Domain Adaptation.
CoRR, 2021

Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective.
CoRR, 2021

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast Hierarchy Preserving Graph Embedding via Subspace Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Passenger Flow Prediction in Traffic System Based on Deep Neural Networks and Transfer Learning Method.
Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

A Deep Learning Approach for Traffic Condition Prediction with Dependency Extraction and Transfer.
Proceedings of the Fuzzy Systems and Data Mining V, 2019


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