Xu Chen

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Source Free Graph Unsupervised Domain Adaptation.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Professional Network Matters: Connections Empower Person-Job Fit.

Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li

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.

Yihan Cao, Xu Chen, Lun Du, Hao Chen, Qiang Fu, Shi Han, Yushu Du, Yanbin Kang, Guangming Lu, Zi Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Text-to-Image Generation for Abstract Concepts.

Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

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.

Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A subspace constraint based approach for fast hierarchical graph embedding.

Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du

World Wide Web (WWW), September, 2023

Robust Mid-Pass Filtering Graph Convolutional Networks.

Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang

Proceedings of the ACM Web Conference 2023, 2023

Homophily-oriented Heterogeneous Graph Rewiring.

Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang

Proceedings of the ACM Web Conference 2023, 2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.

Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang

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.

Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Concept Understanding in Large Language Models: An Empirical Study.

Jiayi Liao, Xu Chen, Lun Du

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.

Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang

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.

Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

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.

Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang

CoRR, 2021

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

Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang

CoRR, 2021

TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data.

Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang

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.

Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie

Proceedings of the IEEE International Conference on Acoustics, 2021

Neuron Campaign for Initialization Guided by Information Bottleneck Theory.

Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang

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.

Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, Kunqing Xie

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.

Yi Ren, Xu Chen, Sheng Wan, Kunqing Xie, Kaigui Bian

Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

A Deep Learning Approach for Traffic Condition Prediction with Dependency Extraction and Transfer.

Yi Ren, Xu Chen, Kaigui Bian, Kunqing Xie

Proceedings of the Fuzzy Systems and Data Mining V, 2019