Xixun Lin

According to our database, Xixun Lin authored at least 31 papers between 2016 and 2025.

Collaborative distances:

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

2025

Deep Graph Neural Point Process For Learning Temporal Interactive Networks.

Su Chen, Xiaohua Qi, Xixun Lin, Yanmin Shang, Xiaolin Xu, Yangxi Li

CoRR, August, 2025

RANA: Robust Active Learning for Noisy Network Alignment.

Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao

CoRR, July, 2025

Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs.

Nan Sun, Xixun Lin, Zhiheng Zhou, Yanmin Shang, Zhenlin Cheng, Yanan Cao

CoRR, June, 2025

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 Trans. Inf. Syst., May, 2025

Large Language Models for Planning: A Comprehensive and Systematic Survey.

Pengfei Cao, Tianyi Men, Wencan Liu, Jingwen Zhang, Xuzhao Li, Xixun Lin, Dianbo Sui, Yanan Cao, Kang Liu, Jun Zhao

CoRR, May, 2025

BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant Experts.

Qingyue Wang, Qi Pang, Xixun Lin, Shuai Wang, Daoyuan Wu

CoRR, April, 2025

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 (WWW), January, 2025

Equivariant Hypergraph Diffusion for Crystal Structure Prediction.

Yang Liu, Chuan Zhou, Shuai Zhang, Peng Zhang, Xixun Lin, Shirui Pan

CoRR, January, 2025

IBPL: 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, Zhao Li, Dawei Yin

Neural Networks, 2025

Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation.

Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu

Proceedings of the ACM on Web Conference 2025, 2025

Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction.

Xiaowei Zhu, Yubing Ren, Yanan Cao, Xixun Lin, Fang Fang, Yangxi Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs.

Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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 (WWW), May, 2024

Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification.

Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang, Zhihong Tian

IEEE Trans. Neural Networks Learn. Syst., April, 2024

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 Trans. Knowl. Data Eng., April, 2024

Neural Jump-Diffusion Temporal Point Processes.

Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

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 Recognit., 2023

2022

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation.

Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning Common Dependency Structure for Unsupervised Cross-Domain Ner.

Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Task-adaptive Neural Process for User Cold-Start Recommendation.

Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Bipartite Graph Embedding via Mutual Information Maximization.

Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang

Proceedings of the WSDM '21, 2021

Deep Structural Point Process for Learning Temporal Interaction Networks.

Jiangxia Cao, Xixun Lin, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu, Bin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.

Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang

Proceedings of the IEEE International Conference on Data Mining, 2021

Improving Cross-Domain Slot Filling with Common Syntactic Structure.

Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Exploratory Adversarial Attacks on Graph Neural Networks.

Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

Relation path embedding in knowledge graphs.

Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan

Neural Comput. Appl., 2019

Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding.

Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

A Knowledge Base Completion Model Based on Path Feature Learning.

Xixun Lin, Yanchun Liang, Limin Wang, Xu Wang, Mary Qu Yang, Renchu Guan

Int. J. Comput. Commun. Control, 2018

2016

Compositional Learning of Relation Paths Embedding for Knowledge Base Completion.

Xixun Lin, Yanchun Liang, Renchu Guan

CoRR, 2016