Xinglong Chang

12 papers A* 2C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.
AAAI
Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025 A* conf
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.
AAAI
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025 C conf
FitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job Fit.
CSCWD
Gaozhi Tang, Jianrong Wang, Xinglong Chang, Di Jin, Xiudong Han
2025 J jnl
Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation.
IEEE Trans. Knowl. Data Eng.
Jian Wang, Jianrong Wang, Di Jin, Xinglong Chang
2025 J jnl
M-Graphormer: Multi-Channel Graph Transformer for Node Representation Learning.
IEEE Trans. Big Data
Xinglong Chang, Jianrong Wang, Mingxiang Wen, Yingkui Wang, Yuxiao Huang
2024 J jnl
Community Detection on Social Networks With Sentimental Interaction.
Int. J. Web Inf. Syst.
Bingdao Feng, Fangyu Cheng, Yanfei Liu, Xinglong Chang, Xiaobao Wang, Di Jin
2023 — conf
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability.
PAKDD (1)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
2023 J jnl
Fast Adversarial Label-Flipping Attack on Tabular Data.
CoRR
Xinglong Chang, Gillian Dobbie, Jörg Wicker
2023 — conf
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
ECML/PKDD (7)
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments.
CoRR
Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker
2023 J jnl
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks.
CoRR
Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker
2023 — conf
Targeted Attacks on Time Series Forecasting.
PAKDD (4)
Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker