Fang, Yuan

25 publications

WACV 2025 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li

ICLR 2025 Node-Time Conditional Prompt Learning in Dynamic Graphs Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang

AAAI 2025 Unlocking the Potential of Black-Box Pre-Trained GNNs for Graph Few-Shot Learning Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang

IJCAI 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling Jianyuan Bo, Yuan Fang

AAAI 2024 HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang

IJCAI 2024 Heterogeneous Graph Transformer with Poly-Tokenization Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi

NeurIPS 2023 Estimating Propensity for Causality-Based Recommendation Without Exposure Data Zhongzhou Liu, Yuan Fang, Min Wu

NeurIPS 2023 Graph Contrastive Learning with Stable and Scalable Spectral Encoding Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi

AAAI 2023 Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang

AAAI 2023 On Generalized Degree Fairness in Graph Neural Networks Zemin Liu, Trung-Kien Nguyen, Yuan Fang

IJCAI 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen

ECML-PKDD 2021 Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process Yugang Ji, Tianrui Jia, Yuan Fang, Chuan Shi

IJCAI 2021 Graph Deformer Network Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang

AAAI 2021 Learning to Pre-Train Graph Neural Networks Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi

IJCAI 2021 Node-Wise Localization of Graph Neural Networks Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

AAAI 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi

ECML-PKDD 2020 Social Influence Attentive Neural Network for Friend-Enhanced Recommendation Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

ECML-PKDD 2020 Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi

IJCAI 2020 Vertex Weighting-Based Tabu Search for P-Center Problem Qingyun Zhang, Zhipeng Lü, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma

IJCAI 2019 Correlation-Sensitive Next-Basket Recommendation Duc-Trong Le, Hady W. Lauw, Yuan Fang

IJCAI 2018 Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation Duc-Trong Le, Hady W. Lauw, Yuan Fang

IJCAI 2017 Basket-Sensitive Personalized Item Recommendation Duc-Trong Le, Hady Wirawan Lauw, Yuan Fang

IJCAI 2017 Object Detection Meets Knowledge Graphs Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar

ECML-PKDD 2016 Modeling Sequential Preferences with Dynamic User and Context Factors Duc-Trong Le, Yuan Fang, Hady Wirawan Lauw

ICML 2014 Graph-Based Semi-Supervised Learning: Realizing Pointwise Smoothness Probabilistically Yuan Fang, Kevin Chang, Hady Lauw