Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains. - Yuan Fang 001; Chee-Yong Chan (DASFAA (1), 2010)

Privacy beyond Single Sensitive Attribute. - Yuan Fang 001; Mafruz Zaman Ashrafi; See-Kiong Ng (DEXA (1), 2011)

Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. - Yuan Fang 001; Kevin Chen-Chuan Chang (WSDM, 2011)

Confidence-aware graph regularization with heterogeneous pairwise features. - Yuan Fang 001; Bo-June Paul Hsu; Kevin Chen-Chuan Chang (SIGIR, 2012)

RoundTripRank: Graph-based proximity with importance and specificity? - Yuan Fang 001; Kevin Chen-Chuan Chang; Hady Wirawan Lauw (ICDE, 2013)

Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. - Fanwei Zhu; Yuan Fang 001; Kevin Chen-Chuan Chang; Jing Ying (Proc. VLDB Endow., 2013)

Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. - Yuan Fang 001; Kevin Chen-Chuan Chang; Hady Wirawan Lauw (ICML, 2014)

Walking forward and backward: towards graph-based searching and mining - Yuan Fang 001 (2014)

IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. - Aditi Adhikari; Vincent W. Zheng; Hong Cao; Miao Lin; Yuan Fang 001; Kevin Chen-Chuan Chang (ICDM Workshops, 2015)

Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. - Fanwei Zhu; Yuan Fang 001; Kevin Chen-Chuan Chang; Jing Ying (VLDB J., 2015)

Semantic proximity search on graphs with metagraph-based learning. - Yuan Fang 001; Wenqing Lin; Vincent Wenchen Zheng; Min Wu 008; Kevin Chen-Chuan Chang; Xiaoli Li 001 (ICDE, 2016)

Learning to query: Focused web page harvesting for entity aspects. - Yuan Fang 001; Vincent W. Zheng; Kevin Chen-Chuan Chang (ICDE, 2016)

Modeling Sequential Preferences with Dynamic User and Context Factors. - Duc-Trong Le; Yuan Fang 001; Hady Wirawan Lauw (ECML/PKDD (2), 2016)

Region average pooling for context-aware object detection. - Kingsley Kuan; Gaurav Manek; Jie Lin 001; Yuan Fang 001; Vijay Chandrasekhar 001 (ICIP, 2017)

Object Detection Meets Knowledge Graphs. - Yuan Fang 001; Kingsley Kuan; Jie Lin 001; Cheston Tan; Vijay Chandrasekhar 001 (IJCAI, 2017)

Basket-Sensitive Personalized Item Recommendation. - Duc-Trong Le; Hady Wirawan Lauw; Yuan Fang 001 (IJCAI, 2017)

Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. - Vincent W. Zheng; Mo Sha 002; Yuchen Li 001; Hongxia Yang; Yuan Fang 001; Zhenjie Zhang; Kian-Lee Tan; Kevin Chen-Chuan Chang (ICDM, 2018)

Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. - Duc-Trong Le; Hady W. Lauw; Yuan Fang 001 (IJCAI, 2018)

Correlation-Sensitive Next-Basket Recommendation. - Duc-Trong Le; Hady W. Lauw; Yuan Fang 001 (IJCAI, 2019)

Adversarial Learning on Heterogeneous Information Networks. - Binbin Hu; Yuan Fang 001; Chuan Shi 001 (KDD, 2019)

TPR: Text-aware Preference Ranking for Recommender Systems. - Yu-Neng Chuang; Chih-Ming Chen 003; Chuan-Ju Wang; Ming-Feng Tsai; Yuan Fang 001; Ee-Peng Lim (CIKM, 2020)

Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. - Zemin Liu; Wentao Zhang; Yuan Fang 001; Xinming Zhang 001; Steven C. H. Hoi (CIKM, 2020)

Adaptive Task Sampling for Meta-learning. - Chenghao Liu; Zhihao Wang 004; Doyen Sahoo; Yuan Fang 001; Kun Zhang 001; Steven C. H. Hoi (ECCV (18), 2020)

Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. - Yuanfu Lu; Yuan Fang 001; Chuan Shi 001 (KDD, 2020)

Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. - Yugang Ji; Mingyang Yin; Yuan Fang 001; Hongxia Yang; Xiangwei Wang; Tianrui Jia; Chuan Shi 001 (ECML/PKDD (3), 2020)

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. - Yuanfu Lu; Ruobing Xie; Chuan Shi 001; Yuan Fang 001; Wei Wang; Xu Zhang 028; Leyu Lin (ECML/PKDD (4), 2020)

Multiplex Memory Network for Collaborative Filtering. - Xunqiang Jiang; Binbin Hu; Yuan Fang 001; Chuan Shi 001 (SDM, 2020)

BiANE: Bipartite Attributed Network Embedding. - Wentao Huang; Yuchen Li 001; Yuan Fang 001; Ju Fan; Hongxia Yang (SIGIR, 2020)

Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. - Ruichu Cai; Xuexin Chen; Yuan Fang 001; Min Wu 008; Yuexing Hao; Jonathan D. Wren (Bioinform., 2020)

Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks. - Yugang Ji; Chuan Shi 001; Yuan Fang 001; Xiangnan Kong; Mingyang Yin (Inf. Process. Manag., 2020)

Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. - Zemin Liu; Yuan Fang 001; Chenghao Liu; Steven C. H. Hoi (AAAI, 2021)

Learning to Pre-train Graph Neural Networks. - Yuanfu Lu; Xunqiang Jiang; Yuan Fang 001; Chuan Shi 001 (AAAI, 2021)

Contrastive Pre-Training of GNNs on Heterogeneous Graphs. - Xunqiang Jiang; Yuanfu Lu; Yuan Fang 001; Chuan Shi 001 (CIKM, 2021)

Topic-aware Heterogeneous Graph Neural Network for Link Prediction. - Siyong Xu; Cheng Yang 002; Chuan Shi 001; Yuan Fang 001; Yuxin Guo; Tianchi Yang; Luhao Zhang; Maodi Hu (CIKM, 2021)

Node-wise Localization of Graph Neural Networks. - Zemin Liu; Yuan Fang 001; Chenghao Liu; Steven C. H. Hoi (IJCAI, 2021)

Pre-training on Large-Scale Heterogeneous Graph. - Xunqiang Jiang; Tianrui Jia; Yuan Fang 001; Chuan Shi 001; Zhe Lin 001; Hui Wang (KDD, 2021)

Tail-GNN: Tail-Node Graph Neural Networks. - Zemin Liu; Trung-Kien Nguyen; Yuan Fang 001 (KDD, 2021)

The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). - Chuan Shi 001; Yuan Fang 001; Yanfang Ye 001; Jiawei Zhang 001 (KDD, 2021)

Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process. - Yugang Ji; Tianrui Jia; Yuan Fang 001; Chuan Shi 001 (ECML/PKDD (1), 2021)

Meta-Inductive Node Classification across Graphs. - Zhihao Wen; Yuan Fang 001; Zemin Liu (SIGIR, 2021)

Recent advances in network-based methods for disease gene prediction. - Sezin Kircali Ata; Min Wu 008; Yuan Fang 001; Le Ou-Yang; Chee Keong Kwoh 001; Xiaoli Li 001 (Briefings Bioinform., 2021)

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. - Zhifeng Hao; Di Wu; Yuan Fang 001; Min Wu 008; Ruichu Cai; Xiaoli Li 001 (IEEE J. Biomed. Health Informatics, 2021)

Multi-View Collaborative Network Embedding. - Sezin Kircali Ata; Yuan Fang 001; Min Wu 008; Jiaqi Shi; Chee Keong Kwoh 001; Xiaoli Li 001 (ACM Trans. Knowl. Discov. Data, 2021)

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. - Yugang Ji; Mingyang Yin; Hongxia Yang; Jingren Zhou 001; Vincent W. Zheng; Chuan Shi 001; Yuan Fang 001 (ACM Trans. Knowl. Discov. Data, 2021)

Metagraph-Based Learning on Heterogeneous Graphs. - Yuan Fang 001; Wenqing Lin; Vincent W. Zheng; Min Wu 008; Jiaqi Shi; Kevin Chen-Chuan Chang; Xiaoli Li 001 (IEEE Trans. Knowl. Data Eng., 2021)

Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). - Zemin Liu; Yuan Fang 001; Yong Liu 020; Vincent W. Zheng (ICDE, 2022)

Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). - Fanwei Zhu; Yuan Fang 001; Kai Zhang 033; Kevin Chen-Chuan Chang; Hongtai Cao; Zhen Jiang; Minghui Wu 001 (ICDE, 2022)

End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. - Tiancheng Huang; Donglin Wang; Yuan Fang 001; Zhengyu Chen 001 (IJCAI, 2022)

On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. - Zemin Liu; Qiheng Mao; Chenghao Liu; Yuan Fang 001; Jianling Sun (WWW, 2022)

TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. - Zhihao Wen; Yuan Fang 001 (WWW, 2022)

Pre-training graph neural networks for link prediction in biomedical networks. - Yahui Long; Min Wu 008; Yong Liu 020; Yuan Fang 001; Chee Keong Kwoh 001; Jinmiao Chen; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2022)

mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. - Wentao Zhang; Yuan Fang 001; Zemin Liu; Min Wu 008; Xinming Zhang 001 (IEEE Trans. Knowl. Data Eng., 2022)

On Generalized Degree Fairness in Graph Neural Networks. - Zemin Liu; Trung-Kien Nguyen; Yuan Fang 001 (AAAI, 2023)

Learning to Count Isomorphisms with Graph Neural Networks. - Xingtong Yu; Zemin Liu; Yuan Fang 001; Xinming Zhang 001 (AAAI, 2023)

Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. - Zhihao Wen; Yuan Fang 001; Yihan Liu; Yang Guo; Shuji Hao (CIKM, 2023)

Graph Contrastive Learning with Stable and Scalable Spectral Encoding. - Deyu Bo; Yuan Fang 001; Yang Liu 348; Chuan Shi 001 (NeurIPS, 2023)

Estimating Propensity for Causality-based Recommendation without Exposure Data. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (NeurIPS, 2023)

Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. - Zhihao Wen; Yuan Fang 001 (SIGIR, 2023)

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. - Zemin Liu; Xingtong Yu; Yuan Fang 001; Xinming Zhang 001 (WWW, 2023)

Link Prediction on Latent Heterogeneous Graphs. - Trung-Kien Nguyen; Zemin Liu; Yuan Fang 001 (WWW, 2023)

A Survey on Spectral Graph Neural Networks. - Deyu Bo; Xiao Wang 017; Yang Liu 348; Yuan Fang 001; Yawen Li 001; Chuan Shi 001 (CoRR, 2023)

Towards Graph Foundation Models: A Survey and Beyond. - Jiawei Liu 006; Cheng Yang 003; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (CoRR, 2023)

Neighbor-Anchoring Adversarial Graph Neural Networks. - Zemin Liu; Yuan Fang 001; Yong Liu 020; Vincent W. Zheng (IEEE Trans. Knowl. Data Eng., 2023)

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (ACM Trans. Inf. Syst., 2023)

Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks. - Yugang Ji; Chuan Shi 001; Yuan Fang 001 (World Sci. Annu. Rev. Artif. Intell., 2023)

Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. - Fanwei Zhu; Yuan Fang 001; Kai Zhang 033; Kevin Chen-Chuan Chang; Hongtai Cao; Zhen Jiang; Minghui Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Dual-View Preference Learning for Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (IEEE Trans. Knowl. Data Eng., 2023)

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. - Xingtong Yu; Yuan Fang 001; Zemin Liu; Xinming Zhang 001 (AAAI, 2024)

SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. - Zhihao Wen; Jie Zhang; Yuan Fang 001 (ACL (Findings), 2024)

Collaborative Cross-modal Fusion with Large Language Model for Recommendation. - Zhongzhou Liu; Hao Zhang 048; Kuicai Dong; Yuan Fang 001 (CIKM, 2024)

Class Name Guided Out-of-Scope Intent Classification. - Chandan Gautam; Sethupathy Parameswaran; Aditya Kane; Yuan Fang 001; Savitha Ramasamy; Suresh Sundaram 002; Sunil Sahu; Xiaoli Li 001 (EMNLP (Findings), 2024)

A Survey of Ontology Expansion for Conversational Understanding. - Jinggui Liang; Yuxia Wu; Yuan Fang 001; Hao Fei 001; Lizi Liao (EMNLP, 2024)

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. - Liu Ran; Zhongzhou Liu; Xiaoli Li 001; Yuan Fang 001 (EMNLP, 2024)

Contrastive General Graph Matching with Adaptive Augmentation Sampling. - Jianyuan Bo; Yuan Fang 001 (IJCAI, 2024)

Heterogeneous Graph Transformer with Poly-Tokenization. - Zhiyuan Lu; Yuan Fang 001; Cheng Yang 002; Chuan Shi 001 (IJCAI, 2024)

A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. - Amitoz Azad; Yuan Fang 001 (KDD, 2024)

Diffusion-based Negative Sampling on Graphs for Link Prediction. - Trung-Kien Nguyen; Yuan Fang 001 (WWW, 2024)

Lecture-style Tutorial: Towards Graph Foundation Models. - Chuan Shi 001; Cheng Yang 002; Yuan Fang 001; Lichao Sun 001; Philip S. Yu (WWW (Companion Volume), 2024)

On the Feasibility of Simple Transformer for Dynamic Graph Modeling. - Yuxia Wu; Yuan Fang 001; Lizi Liao (WWW, 2024)

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. - Xingtong Yu; Chang Zhou; Yuan Fang 001; Xinming Zhang 001 (WWW, 2024)

Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. - Xingtong Yu; Yuan Fang 001; Zemin Liu; Yuxia Wu; Zhihao Wen; Jianyuan Bo; Xinming Zhang 001; Steven C. H. Hoi (CoRR, 2024)

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. - Zhihao Wen; Yuan Fang 001; Pengcheng Wei; Fayao Liu; Zhenghua Chen; Min Wu 008 (CoRR, 2024)

Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models. - Xingtong Yu; Chang Zhou; Yuan Fang 001; Xinming Zhang 001 (CoRR, 2024)

FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training. - Yibo Li; Yuan Fang 001; Mengmei Zhang; Chuan Shi 001 (CoRR, 2024)

Diversified and Adaptive Negative Sampling on Knowledge Graphs. - Ran Liu; Zhongzhou Liu; Xiaoli Li 001; Hao Wu; Yuan Fang 001 (CoRR, 2024)

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. - Ran Liu; Zhongzhou Liu; Xiao-Li Li 001; Yuan Fang 001 (CoRR, 2024)

Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction. - Brindha Priyadarshini Jeyaraman; Bing Tian Dai; Yuan Fang 001 (Mach. Learn. Knowl. Extr., 2024)

Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. - Zemin Liu; Yuan Fang 001; Wentao Zhang; Xinming Zhang 001; Steven C. H. Hoi (IEEE Trans. Knowl. Data Eng., 2024)

Motif Graph Neural Network. - Xuexin Chen; Ruichu Cai; Yuan Fang 001; Min Wu 008; Zijian Li 001; Zhifeng Hao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. - Xingtong Yu; Zhenghao Liu; Yuan Fang 001; Zemin Liu; Sihong Chen; Xinming Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Prompt Tuning on Graph-Augmented Low-Resource Text Classification. - Zhihao Wen; Yuan Fang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Non-Homophilic Graph Pre-Training and Prompt Learning. - Xingtong Yu; Jie Zhang; Yuan Fang 001; Renhe Jiang (KDD (1), 2025)

Exploring the Potential of Large Language Models for Heterophilic Graphs. - Yuxia Wu; Shujie Li 003; Yuan Fang 001; Chuan Shi 001 (NAACL (Long Papers), 2025)

Retrieval Augmented Generation for Dynamic Graph Modeling. - Yuxia Wu; Lizi Liao; Yuan Fang 001 (SIGIR, 2025)

Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. - Sethupathy Parameswaran; Yuan Fang 001; Chandan Gautam; Savitha Ramasamy; Xiaoli Li 001 (WACV, 2025)

A Contrastive Framework with User, Item and Review Alignment for Recommendation. - Hoang V. Dong; Yuan Fang 001; Hady W. Lauw (WSDM, 2025)

An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. - Junrui Liu; Tong Li 001; Di Wu 064; Zifang Tang; Yuan Fang 001; Zhen Yang 004 (WSDM, 2025)

Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. - Yuan Fang 001; Yuxia Wu; Xingtong Yu; Shirui Pan (WWW (Companion Volume), 2025)

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. - Xingtong Yu; Zechuan Gong; Chang Zhou; Yuan Fang 001; Hui Zhang 044 (WWW, 2025)

On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. - Ruichu Cai; Yuxuan Zhu 001; Xuexin Chen; Yuan Fang 001; Min Wu 008; Jie Qiao; Zhifeng Hao (Neural Networks, 2025)

An end-to-end bi-objective approach to deep graph partitioning. - Pengcheng Wei; Yuan Fang 001; Zhihao Wen; Zheng Xiao; Binbin Chen (Neural Networks, 2025)

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs. - Shujie Li 003; Yuxia Wu; Chuan Shi 001; Yuan Fang 001 (CoRR, 2025)

Graph Positional Autoencoders as Self-supervised Learners. - Yang Liu 348; Deyu Bo; Wenxuan Cao; Yuan Fang 001; Yawen Li 001; Chuan Shi 001 (CoRR, 2025)

Graph Foundation Models: Concepts, Opportunities and Challenges. - Jiawei Liu 006; Cheng Yang 002; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Quantizing Text-attributed Graphs for Semantic-Structural Integration. - Jianyuan Bo; Hao Wu; Yuan Fang 001 (CoRR, 2025)