Zhizhi Yu

39 papers A* 18A 2C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion.
AAAI
Ling Ding, Zhizhi Yu, Di Jin, Lei Huang
2026 A* conf
Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.
WWW
Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026 J jnl
TIGFlow-GRPO: Trajectory Forecasting via Interaction-Aware Flow Matching and Reward-Driven Optimization.
CoRR
Xuepeng Jing, Wenhuan Lu, Hao Meng, Zhizhi Yu, Jianguo Wei
2026 J jnl
Unifying heterophily and oversmoothing in graph neural networks via feature spectral diversity.
Inf. Sci.
Renbiao Wang, Di Jin, Zhizhi Yu
2025 A* conf
Attribute Association Driven Multi-Task Learning for Session-based Recommendation.
IJCAI
Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin
2025 J jnl
Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks.
Expert Syst. Appl.
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng
2025 — conf
CaTER: A Framework for Context-aware Topology Entity Retrieval Contrastive Learning in End-to-End Task-Oriented Dialogue Systems.
EMNLP (Findings)
Di Wu Hebeu, Zhizhi Yu
2025 A* conf
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.
AAAI
Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025 A* conf
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.
AAAI
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025 A* conf
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily.
AAAI
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang
2025 A* conf
NAAST-GNN: Neighborhood Adaptive Aggregation and Spectral Tuning for Graph Anomaly Detection.
IJCAI
Ronghui Guo, Xiaowang Zhang, Zhizhi Yu, Minghui Zou, Sai Zhang, Zhiyong Feng
2025 J jnl
Speech-to-See: End-to-End Speech-Driven Open-Set Object Detection.
CoRR
Wenhuan Lu, Xinyue Song, Wenjun Ke, Zhizhi Yu, Wenhao Yang, Jianguo Wei
2025 A* conf
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.
AAAI
Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He
2024 A* conf
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module.
NeurIPS
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
2024 A* conf
Generalized Taxonomy-Guided Graph Neural Networks.
IJCAI
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
2024 A conf
Graph Local Homophily Network for Anomaly Detection.
CIKM
Ronghui Guo, Minghui Zou, Sai Zhang, Xiaowang Zhang, Zhizhi Yu, Zhiyong Feng
2024 A* conf
Improving Distinguishability of Class for Graph Neural Networks.
AAAI
Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng
2024 A* conf
Joint Domain Adaptive Graph Convolutional Network.
IJCAI
Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
2024 A* conf
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily.
IJCAI
Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng
2024 J jnl
Open-world structured sequence learning via dense target encoding.
Inf. Sci.
Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen
2024 J jnl
TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst.
Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu
2024 J jnl
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling.
IEEE Trans. Knowl. Data Eng.
Yawen Li, Zhizhi Yu, Dongxiao He
2023 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023 J jnl
Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst.
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-Paths.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2023 A* conf
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
WWW
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
CoRR
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 — conf
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
KSEM (4)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2022 A* conf
Graph Neural Network for Higher-Order Dependency Networks.
WWW
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2022 J jnl
Identification of Communities With Multi-Semantics via Bayesian Generative Model.
IEEE Trans. Big Data
Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang
2022 J jnl
TeKo: Text-Rich Graph Neural Networks with External Knowledge.
CoRR
Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu
2021 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
2021 A* conf
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
ICDM
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021 A conf
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.
WSDM
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2021 A* conf
Universal Graph Convolutional Networks.
NeurIPS
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
2020 J jnl
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.
CoRR
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2020 A* conf
Community-Centric Graph Convolutional Network for Unsupervised Community Detection.
IJCAI
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
2020 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-paths.
CoRR
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2018 C conf
Researcher Name Disambiguation: Feature Learning and Affinity Propagation Clustering.
ISMIS
Zhizhi Yu, Bo Yang