Xiao-Xin He

According to our database, Xiao-Xin He authored at least 25 papers between 2007 and 2024.

Collaborative distances:

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

2024

FlipAttack: Jailbreak LLMs via Flipping.

Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi

CoRR, 2024

Towards LifeSpan Cognitive Systems.

Yu Wang, Chi Han, Tongtong Wu, Xiaoxin He, Wangchunshu Zhou, Nafis Sadeq, Xiusi Chen, Zexue He, Wei Wang, Gholamreza Haffari, Heng Ji, Julian J. McAuley

CoRR, 2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

CoRR, 2024

Advancing Graph Convolutional Networks via General Spectral Wavelets.

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson

CoRR, 2024

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Can we Soft Prompt LLMs for Graph Learning Tasks?

Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

ProCom: A Few-shot Targeted Community Detection Algorithm.

Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang

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

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Explanations as Features: LLM-Based Features for Text-Attributed Graphs.

Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi

CoRR, 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, Yang You

Proceedings of the International Conference on Machine Learning, 2023

A Generalization of ViT/MLP-Mixer to Graphs.

Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson

Proceedings of the International Conference on Machine Learning, 2023

One Student Knows All Experts Know: From Sparse to Dense.

Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Deeper vs Wider: A Revisit of Transformer Configuration.

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You

CoRR, 2022

2021

Large-Scale Deep Learning Optimizations: A Comprehensive Survey.

Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You

CoRR, 2021

Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study.

Xiaoxin He, Yang Chen

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020

Federated learning on wearable devices: demo abstract.

Xiaoxin He, Xiang Su, Yang Chen, Pan Hui

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

2017

A deep learning method to estimate independent source number.

Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He

Proceedings of the 4th International Conference on Systems and Informatics, 2017

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

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2015

Adaptive contention window tuning for IEEE 802.11.

Xin Zhou, Changwen Zheng, Xiao-Xin He

Proceedings of the 22nd International Conference on Telecommunications, 2015

2013

Optimal spectrum decision with channel quality considered in cognitive radio subnets.

Mingxue Liao, Xiaoxin He, Fanjiang Xu

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013

Analysis on the probability of electromagnetic compatibility in cognitive radio.

Kun Xu, Ming-xue Liao, Xiao-Xin He, Changwen Zheng, Hai-yu Ren

Proceedings of the 8th International Conference on Cognitive Radio Oriented Wireless Networks, 2013

2010

Tree-Based Service Discovery in Mobile Ad Hoc Networks.

Mingxue Liao, He Jing, Zhu Rongfu, Wang Xianqing, Xiaoxin He

Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

2007

Algorithm of Static Deadlock Detection in MPI Synchronization Communication Sequential Model

Ming-xue Liao, Xiao-Xin He, Zhi-hua Fan

CoRR, 2007

Static Deadlock Detection in MPI Synchronization Communication

Ming-xue Liao, Xiao-Xin He, Zhi-hua Fan

CoRR, 2007