Yang Fang

34 papers A* 2A 4Misc 1Journal 20Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Complex network dismantling with node diffusion and node similarity.
Expert Syst. Appl.
Jinchen Shi, Jiuyang Tang, Zhen Tan, Yanli Hu, Yang Fang
2026 A* conf
LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization.
WWW
Hengrui Cui, Yang Fang, Yuehang Cao, Xiang Zhao
2026 J jnl
Node Importance Estimation via Multi-View Graph Prompting.
IEEE Trans. Netw. Sci. Eng.
Siqi Ma, Yang Fang, Weidong Xiao, Xiang Zhao
2026 J jnl
Temporal Heterogeneous Network Representation Learning With Dynamic Influence Modeling.
Int. J. Intell. Syst.
Haodan Ran, Yang Fang, Xiang Zhao, Jiuyang Tang, Weiming Zhang
2025 J jnl
CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair.
CoRR
Weixuan Sun, Jucai Zhai, Dengfeng Liu, Xin Zhang, Xiaojun Wu, Qiaobo Hao, AIMgroup, Yang Fang, Jiuyang Tang
2025 A conf
Community Partition-based Source Localization with Adaptive Observers Deployment.
CIKM
Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao
2025 — conf
Dual-Prompting Based Event Anomaly Detection in Dynamic Graphs.
DASFAA (3)
Haodan Ran, Yang Fang, Jiuyang Tang, Weiming Zhang, Jinzhi Liao, Xiang Zhao
2025 A conf
Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning.
CIKM
Yuehang Cao, Xiang Zhao, Yang Fang, Yan Pan, Jiuyang Tang
2025 Misc conf
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
ICASSP
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 J jnl
Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.
CoRR
Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025 A conf
Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction.
CIKM
Jiaxing He, Yang Fang, Tianyang Shao, Xiang Zhao
2025 — conf
SeqMTG: Sequential Multi-token Enhanced Temporal Graph Link Prediction.
APWeb-WAIM (1)
Haodan Ran, Yang Fang, Yang Sun, Jiuyang Tang, Weiming Zhang
2024 J jnl
A knowledge graphs representation method based on IsA relation modeling.
Expert Syst. Appl.
Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang
2024 — conf
Community partition based source localization in early time.
DSC
Jinchen Shi, Yang Fang, Zhen Tan, Hui Yang, Xiang Zhao
2024 J jnl
Few-shot Learning for Heterogeneous Information Networks.
ACM Trans. Inf. Syst.
Yang Fang, Xiang Zhao, Weidong Xiao, Maarten de Rijke
2024 — conf
Multi-Behavior Hypergraph Contrastive-Enhanced Transformer for Recommender Systems.
DSC
Weixuan Sun, Jiuyang Tang, Yang Fang, Jinqiu Hong, Hao Xu, Mao Wang
2023 J jnl
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke
2023 J jnl
Contrastive Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.
Int. J. Softw. Informatics
Yang Fang, Zhen Tan, Ziyang Chen, Weidong Xiao, Lingling Zhang, Feng Tian
2022 — conf
Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training.
ACL (Findings)
Peixin Huang, Xiang Zhao, Minghao Hu, Yang Fang, Xinyi Li, Weidong Xiao
2022 A conf
Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks.
CIKM
Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang
2022 J jnl
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs.
ACM Trans. Inf. Syst.
Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
2020 J jnl
Exploring Heterogeneous Information Networks via Pre-Training.
CoRR
Yang Fang, Xiang Zhao, Weidong Xiao
2020 J jnl
Fine Grained Named Entity Recognition via Seq2seq Framework.
IEEE Access
Huiming Zhu, Chunhui He, Yang Fang, Weidong Xiao
2020 J jnl
Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network.
Symmetry
Huiming Zhu, Chunhui He, Yang Fang, Bin Ge, Meng Xing, Weidong Xiao
2019 A* conf
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs.
SIGIR
Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
2018 J jnl
GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces.
IEEE Access
Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao
2018 J jnl
Knowledge Graph Representation via Similarity-Based Embedding.
Sci. Program.
Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao
2018 J jnl
Network Embedding via a Bi-Mode and Deep Neural Network Model.
Symmetry
Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2018 J jnl
Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.
IEEE Access
Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2018 J jnl
Title-Based Extraction of News Contents for Text Mining.
IEEE Access
Zhen Tan, Chunhui He, Yang Fang, Bin Ge, Weidong Xiao
2018 J jnl
TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism.
IEEE Access
Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2017 — conf
Deep keyphrase generation with a convolutional sequence to sequence model.
ICSAI
Yong Zhang, Yang Fang, Weidong Xiao
2016 J jnl
Content-Based Top-N Recommendation using Heterogeneous Relations.
CoRR
Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang
2016 — conf
Knowledge Representation Learning via Dynamic Relation Spaces.
ICDM Workshops
Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang