Xu Shen

According to our database, Xu Shen authored at least 19 papers between 2022 and 2026.

Collaborative distances:

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

2026

Detecting Unfaithful Chain-of-Thought via Circuit-Guided Internal-External Discrepancy.

Xu Shen, Zhen Tan, Song Wang, Pingjun Hong, Rui Miao, Xin Wang, Tianlong Chen

CoRR, May, 2026

Defending against link prediction by residual path entropy maximization.

Ru Yuan, Pietro Liò, Xu Shen, Chengbin Peng

Expert Syst. Appl., 2026

BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks.

Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting.

Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction.

Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen

CoRR, October, 2025

FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning.

Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen

CoRR, October, 2025

A Comprehensive Survey of Synthetic Tabular Data Generation.

Ruxue Shi, Yili Wang, Mengnan Du, Xu Shen, Xin Wang

CoRR, April, 2025

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling.

Xu Shen, Yixin Liu, Yili Wang, Rui Miao, Yiwei Dai, Shirui Pan, Xin Wang

CoRR, February, 2025

Directed Link Prediction Using GNN With Local and Global Feature Fusion.

Yuyang Zhang, Xu Shen, Yu Xie, Ka-Chun Wong, Weidun Xie, Chengbin Peng

IEEE Trans. Netw. Sci. Eng., 2025

Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning.

Minlan Shao, Yili Wang, Xu Shen, Xin Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning.

Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space.

Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark.

Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.

Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification.

Ruxue Shi, Hengrui Gu, Xu Shen, Xin Wang

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance.

Xu Shen, Pietro Liò, Lintao Yang, Ru Yuan, Yuyang Zhang, Chengbin Peng

IEEE Trans. Knowl. Data Eng., November, 2024

Adaptive multi-scale Graph Neural Architecture Search framework.

Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng

Neurocomputing, 2024

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.

Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

A Block-Based Adaptive Decoupling Framework for Graph Neural Networks.

Xu Shen, Yuyang Zhang, Yu Xie, Ka-Chun Wong, Chengbin Peng

Entropy, 2022