Xinglong Chang

According to our database, Xinglong Chang authored at least 11 papers between 2023 and 2025.

Collaborative distances:

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

2025

M-Graphormer: Multi-Channel Graph Transformer for Node Representation Learning.

Xinglong Chang, Jianrong Wang, Mingxiang Wen, Yingkui Wang, Yuxiao Huang

IEEE Trans. Big Data, August, 2025

Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation.

Jian Wang, Jianrong Wang, Di Jin, Xinglong Chang

IEEE Trans. Knowl. Data Eng., May, 2025

FitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job Fit.

Gaozhi Tang, Jianrong Wang, Xinglong Chang, Di Jin, Xiudong Han

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.

Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.

Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Community Detection on Social Networks With Sentimental Interaction.

Bingdao Feng, Fangyu Cheng, Yanfei Liu, Xinglong Chang, Xiaobao Wang, Di Jin

Int. J. Web Inf. Syst., 2024

2023

Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks.

Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker

CoRR, 2023

Fast Adversarial Label-Flipping Attack on Tabular Data.

Xinglong Chang, Gillian Dobbie, Jörg Wicker

CoRR, 2023

Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.

Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Targeted Attacks on Time Series Forecasting.

Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.

Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023