Xiaoxin He - RankMe

33 papers A* 8C 1Misc 1Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition. ICML Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2025	—	`conf`	FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering. ACL (Findings) Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2025	A*	`conf`	FlipAttack: Jailbreak LLMs via Flipping. ICML Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Yingwei Ma, Jiaheng Zhang, Bryan Hooi
2025	J	`jnl`	Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation. CoRR Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
2025	J	`jnl`	Towards LifeSpan Cognitive Systems. Trans. Mach. Learn. Res. 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
2025	A*	`conf`	UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. WWW Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
2025	J	`jnl`	UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs. CoRR Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi
2025	—	`conf`	UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs. KDD (1) Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi
2024	J	`jnl`	Advancing Graph Convolutional Networks via General Spectral Wavelets. CoRR Nian Liu, Xiaoxin He, Thomas Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
2024	—	`conf`	Can we Soft Prompt LLMs for Graph Learning Tasks? WWW (Companion Volume) Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
2024	J	`jnl`	Can we Soft Prompt LLMs for Graph Learning Tasks? CoRR Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
2024	J	`jnl`	FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering. CoRR Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi
2024	J	`jnl`	FlipAttack: Jailbreak LLMs via Flipping. CoRR Yue Liu, Xiaoxin He, Miao Xiong, Jinlan Fu, Shumin Deng, Bryan Hooi
2024	A*	`conf`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. NeurIPS Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	A*	`conf`	Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. ICLR Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
2024	A*	`conf`	ProCom: A Few-shot Targeted Community Detection Algorithm. KDD Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024	J	`jnl`	ProCom: A Few-shot Targeted Community Detection Algorithm. CoRR Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024	—	`conf`	The 1st International Workshop on Graph Foundation Models (GFM). WWW (Companion Volume) 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
2024	J	`jnl`	Towards LifeSpan Cognitive Systems. CoRR 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
2023	A*	`conf`	A Generalization of ViT/MLP-Mixer to Graphs. ICML Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2023	A*	`conf`	A Study on Transformer Configuration and Training Objective. ICML Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You
2023	J	`jnl`	Explanations as Features: LLM-Based Features for Text-Attributed Graphs. CoRR Xiaoxin He, Xavier Bresson, Thomas Laurent, Bryan Hooi
2023	—	`conf`	One Student Knows All Experts Know: From Sparse to Dense. Tiny Papers @ ICLR Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
2022	J	`jnl`	A Generalization of ViT/MLP-Mixer to Graphs. CoRR Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann LeCun, Xavier Bresson
2022	J	`jnl`	Deeper vs Wider: A Revisit of Transformer Configuration. CoRR Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You
2022	J	`jnl`	One Student Knows All Experts Know: From Sparse to Dense. CoRR Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You
2021	J	`jnl`	Large-Scale Deep Learning Optimizations: A Comprehensive Survey. CoRR Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You
2021	—	`conf`	Understanding Structural Hole Spanners in Location-Based Social Networks: A Data-Driven Study. UbiComp/ISWC Adjunct Xiaoxin He, Yang Chen
2020	Misc	`conf`	Federated learning on wearable devices: demo abstract. SenSys Xiaoxin He, Xiang Su, Yang Chen, Pan Hui
2017	—	`conf`	A deep learning method to estimate independent source number. ICSAI Wenmei Hu, Ruifang Liu, Xuming Lin, Yameng Li, Xin Zhou, Xiaoxin He
2013	—	`conf`	Optimal spectrum decision with channel quality considered in cognitive radio subnets. GLOBECOM Workshops Mingxue Liao, Xiaoxin He, Fanjiang Xu
2010	C	`conf`	Tree-Based Service Discovery in Mobile Ad Hoc Networks. APSCC Mingxue Liao, He Jing, Zhu Rongfu, Wang Xianqing, Xiaoxin He