Information Bottleneck-based Prompt Learning for Graph Out-of-distribution Detection
Yanan Cao, Fengzhao Shi, Qing Yu, Xixun Lin*, Chuan Zhou, Lixin Zou, Peng Zhang, Xingyu Gao, Steven C.H. Hoi.
IEEE Transactions on Knowledge and Data Engineering (TKDE, under review)

Generative Causality-driven Network Toward Structured Multi-task Learning
Xixun Lin, Qing Yu, Yanan Cao, Lixin Zou, Chuan Zhou, Jia Wu, Shirui Pan, Chenliang Li, Peng Zhang, Philip S. Yu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, under review)

Contrastive Modality-Disentangled Learning for Multimodal Recommendation
Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu.
ACM Transactions on Information Systems (TOIS, minor revision)

A Data-centric Framework of Improving Graph Neural Networks for Knowledge Graph Embedding
Yanan Cao, Xixun Lin*, Yongxuan Wu, Fengzhao Shi, Yanmin Shang, Qingfeng Tan, Chuan Zhou, Peng Zhang.
World Wide Web Journal (WWWJ)

CL4CO: A Curriculum Training Framework for Graph-based Neural Combinatorial Optimization
Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu.
International Conference on Data Mining (ICDM 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification
Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao.
International Conference on Machine Learning (ICML 2024)

Neural Jump-Diffusion Temporal Point Processes
Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma.
International Conference on Machine Learning (ICML 2024, Spotlight Presentation)

VR-GNN: Variational Relation Vector Graph Neural Network for Modeling Homophily and Heterophily
Fengzhao Shi, Yanan Cao, Ren Li, Xixun Lin, Yanmin Shang, Chuan Zhou, Jia Wu, Shirui Pan.
World Wide Web Journal (WWWJ)

Towards Flexible and Adaptive Neural Process for Cold-start Recommendation
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin.
IEEE Transactions on Knowledge and Data Engineering (TKDE)

Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang.
Pattern Recognition (PR)

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Learning Disentangled Representation of Cross-Domain Recommendation
Jiangxia Cao, Xixun Lin, Xin Cong, Tingwen Liu, Jing Ya, Bin Wang.
International Conference on Research on Development in Information Retrieval (SIGIR 2022)

Learning Common Dependency Structure for Unsupervised Cross-Domain NER
Luchen liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang.
International Conference on Acoustics, Speech and SP (ICASSP 2022)

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang.
International Conference on Data Mining (ICDM 2021, Best Ranked Papers)

Deep Structural Point Process for Learning Temporal Interaction Networks
Jiangxia Cao, Xixun Lin*, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu*, Bin Wang.
European Conference on Machine Learning (ECML 2021)

Task-adaptive Neural Process for User Cold-Start Recommendation
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang.
International World Wide Web Conferences (WWW 2021, Candidates of Best Research Paper Awards)

Improving Cross-domain Slot Filling with Common Syntactic Structure
Luchen liu, Xixun Lin, Peng Zhang, Bin Wang.
International Conference on Acoustics, Speech and SP (ICASSP 2021)

Bipartite Graph Embedding via Mutual Information Maximization
Xixun Lin#, Jiangxia Cao#, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang.
ACM International Conference on Web Search and Data Mining (WSDM 2021)

Exploratory Adversarial Attacks on Graph Neural Networks
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang.
International Conference on Data Mining (ICDM 2020)

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang.
International Conference on Data Mining (ICDM 2019)

Relation Path Embedding in Knowledge Graphs
Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan.
Neural Computing and Applications (NCAA)