Yuan Fang - RankMe

157 papers A* 45A 15B 1Journal 77Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations. WSDM Li-Yang Chang, Yuan Fang, Ming-Feng Tsai, Chuan-Ju Wang
2026	A	`conf`	Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs. WSDM Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang
2026	J	`jnl`	Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs. CoRR Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang
2026	A*	`conf`	THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs. AAAI Lixin Zhou, Zemin Liu, Yuan Fang, Dan Niu, Jing Ying
2026	A	`conf`	Time-Aware Adaptive Side Information Fusion for Sequential Recommendation. WSDM Jie Luo, Wenyu Zhang, Xinming Zhang, Yuan Fang
2026	J	`jnl`	UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science. CoRR Jie Zhang, Xingtong Yu, Yuan Fang, Rudi Stouffs, Zdravko Trivic
2025	J	`jnl`	A Comprehensive Review of Financial Knowledge Graphs. World Sci. Annu. Rev. Artif. Intell. Brindha Priyadarshini Jeyaraman, Bing Tian Dai, Yuan Fang
2025	A	`conf`	A Contrastive Framework with User, Item and Review Alignment for Recommendation. WSDM Hoang V. Dong, Yuan Fang, Hady W. Lauw
2025	J	`jnl`	A Contrastive Framework with User, Item and Review Alignment for Recommendation. CoRR Hoang V. Dong, Yuan Fang, Hady W. Lauw
2025	J	`jnl`	A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems. CoRR Yuxuan Zhu, Cong Fu, Yabo Ni, Anxiang Zeng, Yuan Fang
2025	—	`conf`	Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment. KDD (2) Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi
2025	A	`conf`	An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. WSDM Junrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang
2025	J	`jnl`	An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. CoRR Junrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang
2025	J	`jnl`	An end-to-end bi-objective approach to deep graph partitioning. Neural Networks Pengcheng Wei, Yuan Fang, Zhihao Wen, Zheng Xiao, Binbin Chen
2025	—	`conf`	Exploring the Potential of Large Language Models for Heterophilic Graphs. NAACL (Long Papers) Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi
2025	—	`conf`	Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. WWW (Companion Volume) Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan
2025	—	`conf`	GCoT: Chain-of-Thought Prompt Learning for Graphs. KDD (2) Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang
2025	J	`jnl`	GNNSynergy: A Multi-View Graph Neural Network for Predicting Anti-Cancer Drug Synergy. IEEE Trans. Comput. Biol. Bioinform. Zhifeng Hao, Jianming Zhan, Yuan Fang, Min Wu, Ruichu Cai
2025	J	`jnl`	Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2025	—	`conf`	Graph Positional Autoencoders as Self-supervised Learners. KDD (2) Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi
2025	J	`jnl`	Graph Positional Autoencoders as Self-supervised Learners. CoRR Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi
2025	J	`jnl`	HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs. CoRR Shujie Li, Yuxia Wu, Chuan Shi, Yuan Fang
2025	A	`conf`	Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. WACV Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li
2025	J	`jnl`	MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder. CoRR Xingtong Yu, Chang Zhou, Xinming Zhang, Yuan Fang
2025	—	`conf`	Non-Homophilic Graph Pre-Training and Prompt Learning. KDD (1) Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2025	J	`jnl`	On the probability of necessity and sufficiency of explaining Graph Neural Networks: A lower bound optimization approach. Neural Networks Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2025	—	`conf`	Quantizing Text-attributed Graphs for Semantic-Structural Integration. KDD (2) Jianyuan Bo, Hao Wu, Yuan Fang
2025	J	`jnl`	Quantizing Text-attributed Graphs for Semantic-Structural Integration. CoRR Jianyuan Bo, Hao Wu, Yuan Fang
2025	A*	`conf`	Retrieval Augmented Generation for Dynamic Graph Modeling. SIGIR Yuxia Wu, Lizi Liao, Yuan Fang
2025	A*	`conf`	SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. WWW Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang
2025	J	`jnl`	SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. CoRR Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang
2025	J	`jnl`	StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering. CoRR Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang
2025	J	`jnl`	Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu
2025	A	`conf`	Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration. CIKM Tengwei Song, Min Wu, Yuan Fang
2025	J	`jnl`	Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration. CoRR Tengwei Song, Min Wu, Yuan Fang
2025	A*	`conf`	Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. AAAI Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang
2024	A*	`conf`	A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. KDD Amitoz Azad, Yuan Fang
2024	J	`jnl`	A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. CoRR Amitoz Azad, Yuan Fang
2024	A*	`conf`	A Survey of Ontology Expansion for Conversational Understanding. EMNLP Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao
2024	J	`jnl`	A Survey of Ontology Expansion for Conversational Understanding. CoRR Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao
2024	—	`conf`	Class Name Guided Out-of-Scope Intent Classification. EMNLP (Findings) Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li
2024	A	`conf`	Collaborative Cross-modal Fusion with Large Language Model for Recommendation. CIKM Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang
2024	J	`jnl`	Collaborative Cross-modal Fusion with Large Language Model for Recommendation. CoRR Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang
2024	A*	`conf`	Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. EMNLP Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang
2024	J	`jnl`	Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. CoRR Ran Liu, Zhongzhou Liu, Xiao-Li Li, Yuan Fang
2024	A*	`conf`	Contrastive General Graph Matching with Adaptive Augmentation Sampling. IJCAI Jianyuan Bo, Yuan Fang
2024	J	`jnl`	Contrastive General Graph Matching with Adaptive Augmentation Sampling. CoRR Jianyuan Bo, Yuan Fang
2024	A*	`conf`	Diffusion-based Negative Sampling on Graphs for Link Prediction. WWW Trung-Kien Nguyen, Yuan Fang
2024	J	`jnl`	Diffusion-based Negative Sampling on Graphs for Link Prediction. CoRR Trung-Kien Nguyen, Yuan Fang
2024	J	`jnl`	Diversified and Adaptive Negative Sampling on Knowledge Graphs. CoRR Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang
2024	J	`jnl`	DyGPrompt: Learning Feature and Time Prompts on Dynamic Graphs. CoRR Xingtong Yu, Zhenghao Liu, Yuan Fang, Xinming Zhang
2024	J	`jnl`	Exploring the Potential of Large Language Models for Heterophilic Graphs. CoRR Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi
2024	J	`jnl`	Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi
2024	J	`jnl`	FineMolTex: Towards Fine-grained Molecular Graph-Text Pre-training. CoRR Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi
2024	J	`jnl`	Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. IEEE Trans. Knowl. Data Eng. Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang
2024	A*	`conf`	HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. AAAI Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang
2024	A*	`conf`	Heterogeneous Graph Transformer with Poly-Tokenization. IJCAI Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi
2024	—	`conf`	Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
2024	J	`jnl`	Locality-Aware Tail Node Embeddings on Homogeneous and Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Zemin Liu, Yuan Fang, Wentao Zhang, Xinming Zhang, Steven C. H. Hoi
2024	J	`jnl`	Motif Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2024	A*	`conf`	MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. WWW Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2024	J	`jnl`	Non-Homophilic Graph Pre-Training and Prompt Learning. CoRR Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2024	A*	`conf`	On the Feasibility of Simple Transformer for Dynamic Graph Modeling. WWW Yuxia Wu, Yuan Fang, Lizi Liao
2024	J	`jnl`	On the Feasibility of Simple Transformer for Dynamic Graph Modeling. CoRR Yuxia Wu, Yuan Fang, Lizi Liao
2024	J	`jnl`	Prompt Tuning on Graph-Augmented Low-Resource Text Classification. IEEE Trans. Knowl. Data Eng. Zhihao Wen, Yuan Fang
2024	J	`jnl`	Retrieval Augmented Generation for Dynamic Graph Modeling. CoRR Yuxia Wu, Yuan Fang, Lizi Liao
2024	—	`conf`	SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. ACL (Findings) Zhihao Wen, Jie Zhang, Yuan Fang
2024	J	`jnl`	SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. CoRR Zhihao Wen, Jie Zhang, Yuan Fang
2024	J	`jnl`	Temporal Relational Graph Convolutional Network Approach to Financial Performance Prediction. Mach. Learn. Knowl. Extr. Brindha Priyadarshini Jeyaraman, Bing Tian Dai, Yuan Fang
2024	J	`jnl`	Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction. CoRR Zhihao Wen, Yuan Fang, Pengcheng Wei, Fayao Liu, Zhenghua Chen, Min Wu
2024	J	`jnl`	Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models. CoRR Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2023	J	`jnl`	A Survey on Spectral Graph Neural Networks. CoRR Deyu Bo, Xiao Wang, Yang Liu, Yuan Fang, Yawen Li, Chuan Shi
2023	A*	`conf`	Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR Zhihao Wen, Yuan Fang
2023	J	`jnl`	Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. CoRR Zhihao Wen, Yuan Fang
2023	J	`jnl`	Dual-View Preference Learning for Adaptive Recommendation. IEEE Trans. Knowl. Data Eng. Zhongzhou Liu, Yuan Fang, Min Wu
2023	J	`jnl`	Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural Networks. World Sci. Annu. Rev. Artif. Intell. Yugang Ji, Chuan Shi, Yuan Fang
2023	A*	`conf`	Estimating Propensity for Causality-based Recommendation without Exposure Data. NeurIPS Zhongzhou Liu, Yuan Fang, Min Wu
2023	J	`jnl`	Estimating Propensity for Causality-based Recommendation without Exposure Data. CoRR Zhongzhou Liu, Yuan Fang, Min Wu
2023	J	`jnl`	Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. CoRR Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang
2023	A*	`conf`	Graph Contrastive Learning with Stable and Scalable Spectral Encoding. NeurIPS Deyu Bo, Yuan Fang, Yang Liu, Chuan Shi
2023	A*	`conf`	GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. WWW Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang
2023	J	`jnl`	GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. CoRR Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang
2023	J	`jnl`	HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning. CoRR Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang
2023	A*	`conf`	Learning to Count Isomorphisms with Graph Neural Networks. AAAI Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang
2023	J	`jnl`	Learning to Count Isomorphisms with Graph Neural Networks. CoRR Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang
2023	A*	`conf`	Link Prediction on Latent Heterogeneous Graphs. WWW Trung-Kien Nguyen, Zemin Liu, Yuan Fang
2023	J	`jnl`	Link Prediction on Latent Heterogeneous Graphs. CoRR Trung-Kien Nguyen, Zemin Liu, Yuan Fang
2023	J	`jnl`	Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. ACM Trans. Inf. Syst. Zhongzhou Liu, Yuan Fang, Min Wu
2023	J	`jnl`	MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. CoRR Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang
2023	J	`jnl`	Neighbor-Anchoring Adversarial Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng
2023	A*	`conf`	On Generalized Degree Fairness in Graph Neural Networks. AAAI Zemin Liu, Trung-Kien Nguyen, Yuan Fang
2023	J	`jnl`	On Generalized Degree Fairness in Graph Neural Networks. CoRR Zemin Liu, Trung-Kien Nguyen, Yuan Fang
2023	J	`jnl`	Prompt Tuning on Graph-augmented Low-resource Text Classification. CoRR Zhihao Wen, Yuan Fang
2023	J	`jnl`	Towards Graph Foundation Models: A Survey and Beyond. CoRR Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2023	J	`jnl`	Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. IEEE Trans. Knowl. Data Eng. Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
2023	A	`conf`	Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. CIKM Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao
2023	J	`jnl`	Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. CoRR Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao
2022	A*	`conf`	End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. IJCAI Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen
2022	A*	`conf`	Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). ICDE Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng
2022	A*	`conf`	On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. WWW Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun
2022	J	`jnl`	On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
2022	J	`jnl`	Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
2022	A*	`conf`	TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW Zhihao Wen, Yuan Fang
2022	J	`jnl`	TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. CoRR Zhihao Wen, Yuan Fang
2022	A*	`conf`	Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). ICDE Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu
2022	J	`jnl`	mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph Embedding. IEEE Trans. Knowl. Data Eng. Wentao Zhang, Yuan Fang, Zemin Liu, Min Wu, Xinming Zhang
2021	J	`jnl`	Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. ACM Trans. Knowl. Discov. Data Yugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang
2021	A	`conf`	Contrastive Pre-Training of GNNs on Heterogeneous Graphs. CIKM Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi
2021	—	`conf`	Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes Process. ECML/PKDD (1) Yugang Ji, Tianrui Jia, Yuan Fang, Chuan Shi
2021	A*	`conf`	Learning to Pre-train Graph Neural Networks. AAAI Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi
2021	A*	`conf`	Meta-Inductive Node Classification across Graphs. SIGIR Zhihao Wen, Yuan Fang, Zemin Liu
2021	J	`jnl`	Meta-Inductive Node Classification across Graphs. CoRR Zhihao Wen, Yuan Fang, Zemin Liu
2021	J	`jnl`	Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li
2021	J	`jnl`	Motif Graph Neural Network. CoRR Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
2021	J	`jnl`	Multi-View Collaborative Network Embedding. ACM Trans. Knowl. Discov. Data Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2021	A*	`conf`	Node-wise Localization of Graph Neural Networks. IJCAI Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	J	`jnl`	Node-wise Localization of Graph Neural Networks. CoRR Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	A*	`conf`	Pre-training on Large-Scale Heterogeneous Graph. KDD Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang
2021	J	`jnl`	Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li
2021	J	`jnl`	Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2021	A*	`conf`	Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. AAAI Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi
2021	A*	`conf`	Tail-GNN: Tail-Node Graph Neural Networks. KDD Zemin Liu, Trung-Kien Nguyen, Yuan Fang
2021	A*	`conf`	The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
2021	A	`conf`	Topic-aware Heterogeneous Graph Neural Network for Link Prediction. CIKM Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu
2020	J	`jnl`	Adaptive Task Sampling for Meta-Learning. CoRR Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	—	`conf`	Adaptive Task Sampling for Meta-learning. ECCV (18) Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi
2020	A*	`conf`	BiANE: Bipartite Attributed Network Embedding. SIGIR Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang
2020	J	`jnl`	Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinform. Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren
2020	A*	`conf`	Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. KDD Yuanfu Lu, Yuan Fang, Chuan Shi
2020	J	`jnl`	Multi-View Collaborative Network Embedding. CoRR Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li
2020	A	`conf`	Multiplex Memory Network for Collaborative Filtering. SDM Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi
2020	J	`jnl`	Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li
2020	J	`jnl`	Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks. Inf. Process. Manag. Yugang Ji, Chuan Shi, Yuan Fang, Xiangnan Kong, Mingyang Yin
2020	—	`conf`	Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin
2020	A	`conf`	TPR: Text-aware Preference Ranking for Recommender Systems. CIKM Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
2020	—	`conf`	Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. ECML/PKDD (3) Yugang Ji, Mingyang Yin, Yuan Fang, Hongxia Yang, Xiangwei Wang, Tianrui Jia, Chuan Shi
2020	A	`conf`	Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. CIKM Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi
2019	A*	`conf`	Adversarial Learning on Heterogeneous Information Networks. KDD Binbin Hu, Yuan Fang, Chuan Shi
2019	A*	`conf`	Correlation-Sensitive Next-Basket Recommendation. IJCAI Duc-Trong Le, Hady W. Lauw, Yuan Fang
2018	A*	`conf`	Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. ICDM Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang
2018	A*	`conf`	Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. IJCAI Duc-Trong Le, Hady W. Lauw, Yuan Fang
2017	A*	`conf`	Basket-Sensitive Personalized Item Recommendation. IJCAI Duc-Trong Le, Hady Wirawan Lauw, Yuan Fang
2017	A*	`conf`	Object Detection Meets Knowledge Graphs. IJCAI Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar
2017	B	`conf`	Region average pooling for context-aware object detection. ICIP Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar
2016	A*	`conf`	Learning to query: Focused web page harvesting for entity aspects. ICDE Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang
2016	—	`conf`	Modeling Sequential Preferences with Dynamic User and Context Factors. ECML/PKDD (2) Duc-Trong Le, Yuan Fang, Hady Wirawan Lauw
2016	A*	`conf`	Semantic proximity search on graphs with metagraph-based learning. ICDE Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li
2015	—	`conf`	IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. ICDM Workshops Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang
2015	J	`jnl`	Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. VLDB J. Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
2014	A*	`conf`	Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. ICML Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw
2014	—	`—`	Walking forward and backward: towards graph-based searching and mining Yuan Fang
2013	J	`jnl`	Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. Proc. VLDB Endow. Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying
2013	A*	`conf`	RoundTripRank: Graph-based proximity with importance and specificity? ICDE Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw
2012	A*	`conf`	Confidence-aware graph regularization with heterogeneous pairwise features. SIGIR Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang
2011	—	`conf`	Privacy beyond Single Sensitive Attribute. DEXA (1) Yuan Fang, Mafruz Zaman Ashrafi, See-Kiong Ng
2011	A	`conf`	Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. WSDM Yuan Fang, Kevin Chen-Chuan Chang
2010	—	`conf`	Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains. DASFAA (1) Yuan Fang, Chee-Yong Chan