Static Deadlock Detection in MPI Synchronization Communication - Ming-xue Liao; Xiao-Xin He; Zhi-hua Fan (CoRR, 2007)

Algorithm of Static Deadlock Detection in MPI Synchronization Communication Sequential Model - Ming-xue Liao; Xiao-Xin He; Zhi-hua Fan (CoRR, 2007)

Tree-Based Service Discovery in Mobile Ad Hoc Networks. - Mingxue Liao; He Jing; Zhu Rongfu; Wang Xianqing; Xiaoxin He (APSCC, 2010)

Analysis on the probability of electromagnetic compatibility in cognitive radio. - Kun Xu; Ming-xue Liao; Xiao-Xin He; Changwen Zheng; Hai-yu Ren (CrownCom, 2013)

Optimal spectrum decision with channel quality considered in cognitive radio subnets. - Mingxue Liao; Xiaoxin He; Fanjiang Xu (GLOBECOM Workshops, 2013)

Adaptive contention window tuning for IEEE 802.11. - Xin Zhou; Changwen Zheng; Xiao-Xin He (ICT, 2015)

A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types. - Xuming Lin; Ruifang Liu; Wenmei Hu; Yameng Li; Xin Zhou; Xiao-Xin He (DASC/PiCom/DataCom/CyberSciTech, 2017)

A deep learning method to estimate independent source number. - Wenmei Hu; Ruifang Liu; Xuming Lin; Yameng Li; Xin Zhou; Xiaoxin He (ICSAI, 2017)

Federated learning on wearable devices: demo abstract. - Xiaoxin He; Xiang Su; Yang Chen 001; Pan Hui 001 (SenSys, 2020)

Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study. - Xiaoxin He; Yang Chen 001 (UbiComp/ISWC Adjunct, 2021)

Large-Scale Deep Learning Optimizations: A Comprehensive Survey. - Xiaoxin He; Fuzhao Xue; Xiaozhe Ren; Yang You 001 (CoRR, 2021)

Deeper vs Wider: A Revisit of Transformer Configuration. - Fuzhao Xue; Jianghai Chen; Aixin Sun; Xiaozhe Ren; Zangwei Zheng; Xiaoxin He; Xin Jiang 002; Yang You 001 (CoRR, 2022)

One Student Knows All Experts Know: From Sparse to Dense. - Fuzhao Xue; Xiaoxin He; Xiaozhe Ren; Yuxuan Lou; Yang You 001 (Tiny Papers @ ICLR, 2023)

A Generalization of ViT/MLP-Mixer to Graphs. - Xiaoxin He; Bryan Hooi; Thomas Laurent 001; Adam Perold; Yann LeCun; Xavier Bresson (ICML, 2023)

A Study on Transformer Configuration and Training Objective. - Fuzhao Xue; Jianghai Chen; Aixin Sun; Xiaozhe Ren; Zangwei Zheng; Xiaoxin He; Yongming Chen; Xin Jiang 002; Yang You 001 (ICML, 2023)

Explanations as Features: LLM-Based Features for Text-Attributed Graphs. - Xiaoxin He; Xavier Bresson; Thomas Laurent 001; Bryan Hooi (CoRR, 2023)

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. - Xiaoxin He; Xavier Bresson; Thomas Laurent 001; Adam Perold; Yann LeCun; Bryan Hooi (ICLR, 2024)

ProCom: A Few-shot Targeted Community Detection Algorithm. - Xixi Wu; Kaiyu Xiong; Yun Xiong; Xiaoxin He; Yao Zhang 009; Yizhu Jiao; Jiawei Zhang 001 (KDD, 2024)

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. - Xiaoxin He; Yijun Tian 001; Yifei Sun 002; Nitesh V. Chawla; Thomas Laurent 001; Yann LeCun; Xavier Bresson; Bryan Hooi (NeurIPS, 2024)

Can we Soft Prompt LLMs for Graph Learning Tasks? - Zheyuan Liu 010; Xiaoxin He; Yijun Tian 001; Nitesh V. Chawla (WWW (Companion Volume), 2024)

The 1st International Workshop on Graph Foundation Models (GFM). - Haitao Mao; Jianan Zhao 002; Xiaoxin He; Zhikai Chen; Qian Huang; Zhaocheng Zhu; Jian Tang 005; Michael M. Bronstein; Xavier Bresson; Bryan Hooi; Haiyang Zhang; Xianfeng Tang; et al. (WWW (Companion Volume), 2024)

Advancing Graph Convolutional Networks via General Spectral Wavelets. - Nian Liu; Xiaoxin He; Thomas Laurent 001; Francesco Di Giovanni; Michael M. Bronstein; Xavier Bresson (CoRR, 2024)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering. - Yuan Sui; Yufei He; Nian Liu; Xiaoxin He; Kun Wang 056; Bryan Hooi (CoRR, 2024)

FlipAttack: Jailbreak LLMs via Flipping. - Yue Liu 008; Xiaoxin He; Miao Xiong; Jinlan Fu; Shumin Deng; Bryan Hooi (CoRR, 2024)

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. - Yuan Sui; Yufei He; Nian Liu; Xiaoxin He; Kun Wang 056; Bryan Hooi (ACL (Findings), 2025)

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs. - Yufei He; Yuan Sui; Xiaoxin He; Bryan Hooi (KDD (1), 2025)

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. - Yufei He; Yuan Sui; Xiaoxin He; Yue Liu 008; Yifei Sun 002; Bryan Hooi (WWW, 2025)

Towards LifeSpan Cognitive Systems. - Yu Wang 170; Chi Han; Tongtong Wu; Xiaoxin He; Wangchunshu Zhou; Nafis Sadeq; Xiusi Chen; Zexue He; Wei Wang; Gholamreza Haffari; Heng Ji 001; Julian J. McAuley (Trans. Mach. Learn. Res., 2025)