| 2026 | AAAI | PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models. | Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao |
| 2026 | AAAI | Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts. | Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao |
| 2026 | ACL | Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations. | Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao |
| 2026 | ACL | EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment. | Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao |
| 2026 | ACL | CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems. | Yongxuan Wu, Xixun Lin, He Zhang, Nan Sun, Kun Wang, Chuan Zhou, Shirui Pan, Yanan Cao |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2026 | WWW | Scaling Collaborative Filtering with Multimodal Contrastive Fine-tuning. | Liwei Jin, Dan Luo, Lixin Zou, Chenliang Li, Xiangyang Luo, Xixun Lin, Liming Dong, Yifan Zhang |
| 2026 | WWW | Conditional Diffusion Guided Knowledge Transfer for Multi-Domain Knowledge Graph Completion. | Jiawei Sheng, Taoyu Su, Xixun Lin, Xiaodong Li, Tingwen Liu |
| 2026 | WWW | Generalizable Graph-level Anomaly Detection via Prompted Anomaly Expansion and Normality Extraction. | Ge Zhang, Jiapei Chen, Guohao Sun, Xiu Fang, Zhenyu Yang, Xixun Lin, Liang Yang |
| 2025 | AAAI | UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. | Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao |
| 2025 | ACL | 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 |
| 2025 | ECAI | RANA: Robust Active Learning for Noisy Network Alignment. | Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao |
| 2025 | EMNLP | Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. | Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan |
| 2025 | ICANN | Federated Privacy-Preserving for Cross-Domain Sequential Recommendation. | Su Chen, Yan Dong, Yanmin Shang, Xiaolin Xu, Xixun Lin |
| 2025 | ICML | Conformal Anomaly Detection in Event Sequences. | Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan |
| 2025 | KDD | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. | Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu |
| 2025 | KDD | TTGL: Large-scale Multi-scenario Universal Graph Learning at TikTok. | Shichao Zhu, Mufan Li, Guangmou Pan, Xixun Lin |
| 2025 | WWW | 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 |
| 2024 | ICDM | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Neural Jump-Diffusion Temporal Point Processes. | Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma |
| 2022 | ICASSP | Learning Common Dependency Structure for Unsupervised Cross-Domain Ner. | Luchen Liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang |
| 2022 | SIGIR | DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. | Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang |
| 2021 | ICASSP | Improving Cross-Domain Slot Filling with Common Syntactic Structure. | Luchen Liu, Xixun Lin, Peng Zhang, Bin Wang |
| 2021 | ICDM | Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. | Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang |
| 2021 | WWW | Task-adaptive Neural Process for User Cold-Start Recommendation. | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2021 | WSDM | Bipartite Graph Embedding via Mutual Information Maximization. | Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2020 | ICDM | Exploratory Adversarial Attacks on Graph Neural Networks. | Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang |
| 2019 | ICDM | Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. | Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang |