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Xiao-Xin He
2020 – today
- 2024
- [c15]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 - [c14]Xixi Wu
, Kaiyu Xiong
, Yun Xiong
, Xiaoxin He
, Yao Zhang
, Yizhu Jiao
, Jiawei Zhang
:
ProCom: A Few-shot Targeted Community Detection Algorithm. KDD 2024: 3414-3424 - [c13]Zheyuan Liu, Xiaoxin He
, Yijun Tian
, Nitesh V. Chawla
:
Can we Soft Prompt LLMs for Graph Learning Tasks? WWW (Companion Volume) 2024: 481-484 - [c12]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: 1789-1792 - [i14]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 abs/2402.07630 (2024) - [i13]Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla:
Can we Soft Prompt LLMs for Graph Learning Tasks? CoRR abs/2402.10359 (2024) - [i12]Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson:
Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR abs/2405.13806 (2024) - [i11]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 abs/2405.13873 (2024) - [i10]Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang:
ProCom: A Few-shot Targeted Community Detection Algorithm. CoRR abs/2408.07369 (2024) - [i9]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:
Towards LifeSpan Cognitive Systems. CoRR abs/2409.13265 (2024) - [i8]Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi:
FlipAttack: Jailbreak LLMs via Flipping. CoRR abs/2410.02832 (2024) - 2023
- [c11]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR 2023 - [c10]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. ICML 2023: 12724-12745 - [c9]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: 38913-38925 - [i7]Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi:
Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR abs/2305.19523 (2023) - 2022
- [i6]Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You:
One Student Knows All Experts Know: From Sparse to Dense. CoRR abs/2201.10890 (2022) - [i5]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 abs/2205.10505 (2022) - [i4]Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson:
A Generalization of ViT/MLP-Mixer to Graphs. CoRR abs/2212.13350 (2022) - 2021
- [c8]Xiaoxin He, Yang Chen:
Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study. UbiComp/ISWC Adjunct 2021: 619-624 - [i3]Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You:
Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR abs/2111.00856 (2021) - 2020
- [c7]Xiaoxin He, Xiang Su, Yang Chen, Pan Hui:
Federated learning on wearable devices: demo abstract. SenSys 2020: 613-614
2010 – 2019
- 2017
- [c6]Xuming Lin, Ruifang Liu, Wenmei Hu, Yameng Li, Xin Zhou, Xiao-Xin He:
A Deep Convolutional Network Demodulator for Mixed Signals with Different Modulation Types. DASC/PiCom/DataCom/CyberSciTech 2017: 893-896 - [c5]Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He:
A deep learning method to estimate independent source number. ICSAI 2017: 1055-1059 - 2015
- [c4]Xin Zhou, Changwen Zheng, Xiao-Xin He:
Adaptive contention window tuning for IEEE 802.11. ICT 2015: 74-79 - 2013
- [c3]Kun Xu, Ming-xue Liao, Xiao-Xin He, Changwen Zheng, Hai-yu Ren:
Analysis on the probability of electromagnetic compatibility in cognitive radio. CrownCom 2013: 105-110 - [c2]Mingxue Liao, Xiaoxin He, Fanjiang Xu:
Optimal spectrum decision with channel quality considered in cognitive radio subnets. GLOBECOM Workshops 2013: 929-934 - 2010
- [c1]Mingxue Liao, He Jing, Zhu Rongfu, Wang Xianqing, Xiaoxin He:
Tree-Based Service Discovery in Mobile Ad Hoc Networks. APSCC 2010: 206-211
2000 – 2009
- 2007
- [i2]Ming-xue Liao, Xiao-Xin He, Zhi-hua Fan:
Static Deadlock Detection in MPI Synchronization Communication. CoRR abs/0709.3689 (2007) - [i1]Ming-xue Liao, Xiao-Xin He, Zhi-hua Fan:
Algorithm of Static Deadlock Detection in MPI Synchronization Communication Sequential Model. CoRR abs/0709.3693 (2007)
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