Guoji Fu - RankMe

22 papers A* 3B 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RelaxFlow: Text-Driven Amodal 3D Generation. CoRR Jiayin Zhu, Guoji Fu, Xiaolu Liu, Qiyuan He, Yicong Li, Angela Yao
2025	J	`jnl`	Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions. CoRR Guoji Fu, Wee Sun Lee
2025	A*	`conf`	Continual Reinforcement Learning by Planning with Online World Models. ICML Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	Continual Reinforcement Learning by Planning with Online World Models. CoRR Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin
2025	J	`jnl`	Exploration by Random Reward Perturbation. CoRR Haozhe Ma, Guoji Fu, Zhengding Luo, Jiele Wu, Tze-Yun Leong
2024	A*	`conf`	Constrained Layout Generation with Factor Graphs. CVPR Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee
2024	J	`jnl`	Constrained Layout Generation with Factor Graphs. CoRR Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng, Guoji Fu, Yong Liang Goh, Wei Lu, Wee Sun Lee
2023	J	`jnl`	Fairness-aware Message Passing for Graph Neural Networks. CoRR Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang
2023	J	`jnl`	Implicit Graph Neural Diffusion Based on Constrained Dirichlet Energy Minimization. CoRR Guoji Fu, Mohammed Haroon Dupty, Yanfei Dong, Lee Wee Sun
2023	J	`jnl`	SyNDock: N Rigid Protein Docking via Learnable Group Synchronization. CoRR Yuanfeng Ji, Yatao Bian, Guoji Fu, Peilin Zhao, Ping Luo
2022	J	`jnl`	A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao
2022	J	`jnl`	Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift. CoRR Bingzhe Wu, Jintang Li, Chengbin Hou, Guoji Fu, Yatao Bian, Liang Chen, Junzhou Huang
2022	J	`jnl`	Understanding Knowledge Integration in Language Models with Graph Convolutions. CoRR Yifan Hou, Guoji Fu, Mrinmaya Sachan
2022	—	`conf`	What Has Been Enhanced in my Knowledge-Enhanced Language Model? EMNLP (Findings) Yifan Hou, Guoji Fu, Mrinmaya Sachan
2022	A*	`conf`	p-Laplacian Based Graph Neural Networks. ICML Guoji Fu, Peilin Zhao, Yatao Bian
2021	J	`jnl`	Robust Dynamic Network Embedding via Ensembles. CoRR Chengbin Hou, Guoji Fu, Peng Yang, Shan He, Ke Tang
2021	J	`jnl`	p-Laplacian Based Graph Neural Networks. CoRR Guoji Fu, Peilin Zhao, Yatao Bian
2020	J	`jnl`	Understanding Graph Neural Networks from Graph Signal Denoising Perspectives. CoRR Guoji Fu, Yifan Hou, Jie Zhang, Kaili Ma, Barakeel Fanseu Kamhoua, James Cheng
2019	B	`conf`	Learning Topological Representation for Networks via Hierarchical Sampling. IJCNN Guoji Fu, Chengbin Hou, Xin Yao
2019	J	`jnl`	Learning Topological Representation for Networks via Hierarchical Sampling. CoRR Guoji Fu, Chengbin Hou, Xin Yao
2019	—	`conf`	Representation Learning for Heterogeneous Information Networks via Embedding Events. ICONIP (1) Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao
2019	J	`jnl`	Representation Learning for Heterogeneous Information Networks via Embedding Events. CoRR Guoji Fu, Bo Yuan, Qiqi Duan, Xin Yao