Xiaoxin He

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Neural Classifier

Motion Field Estimation

Top Venues

WWW (Companion Volume)

UbiComp/ISWC Adjunct

Publications

Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR (2024)
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
The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) (2024)
Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
Can we Soft Prompt LLMs for Graph Learning Tasks? WWW (Companion Volume) (2024)
Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
Can we soft prompt LLMs for graph learning tasks? CoRR (2024)
Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering. CoRR (2024)
Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
ProCom: A Few-shot Targeted Community Detection Algorithm. KDD (2024)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR (2024)
Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR (2024)
Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR (2023)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. ICML (2023)
Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR (2023)
Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You
A Study on Transformer Configuration and Training Objective. ICML (2023)
Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR (2022)
Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
One Student Knows All Experts Know: From Sparse to Dense. CoRR (2022)
Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
A Generalization of ViT/MLP-Mixer to Graphs. CoRR (2022)
Xiaoxin He, Yang Chen
Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study. UbiComp/ISWC Adjunct (2021)
Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR (2021)
Xiaoxin He, Xiang Su, Yang Chen, Pan Hui
Federated learning on wearable devices: demo abstract. SenSys (2020)
Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He
A deep learning method to estimate independent source number. ICSAI (2017)
Mingxue Liao, Xiaoxin He, Fanjiang Xu
Optimal spectrum decision with channel quality considered in cognitive radio subnets. GLOBECOM Workshops (2013)
Mingxue Liao, He Jing, Zhu Rongfu, Wang Xianqing, Xiaoxin He
Tree-Based Service Discovery in Mobile Ad Hoc Networks. APSCC (2010)