Daokun Zhang

42 papers A* 6A 2Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images.
Expert Syst. Appl.
Jiaxuan Li, Qing Xu, Xiangjian He, Ziyu Liu, Daokun Zhang, Ruili Wang, Rong Qu, Guoping Qiu
2025 J jnl
A Novel Dual-Strategy Approach for Constructing Knowledge Graphs in the Home Appliance Fault Domain.
Algorithms
Daokun Zhang, Jian Zhang, Yanhe Jia, Mengjie Liao
2025 J jnl
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images.
CoRR
Jiaxuan Li, Qing Xu, Xiangjian He, Ziyu Liu, Daokun Zhang, Ruili Wang, Rong Qu, Guoping Qiu
2025 J jnl
CoMA: Complementary Masking and Hierarchical Dynamic Multi-Window Self-Attention in a Unified Pre-training Framework.
CoRR
Jiaxuan Li, Qing Xu, Xiangjian He, Ziyu Liu, Chang Xing, Zhen Chen, Daokun Zhang, Rong Qu, Chang Wen Chen
2025 J jnl
Combating confirmation bias: a unified pseudo-labeling framework for entity alignment.
Data Min. Knowl. Discov.
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2025 A conf
Label Distribution Learning using the Squared Neural Family on the Probability Simplex.
UAI
Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
2025 J jnl
Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction.
CoRR
Teng Jiek See, Daokun Zhang, Mario Boley, David K. Chalmers
2025 J jnl
Towards the Next-generation Bayesian Network Classifiers.
CoRR
Huan Zhang, Daokun Zhang, Kexin Meng, Geoffrey I. Webb
2025 J jnl
WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis.
CoRR
Xinheng Lyu, Yuci Liang, Wenting Chen, Meidan Ding, Jiaqi Yang, Guolin Huang, Daokun Zhang, Xiangjian He, Linlin Shen
2025 — conf
🤖 WSI-Agents: A Collaborative Multi-agent System for Multi-modal Whole Slide Image Analysis.
MICCAI (5)
Xinheng Lyu, Yuci Liang, Wenting Chen, Meidan Ding, Jiaqi Yang, Guolin Huang, Daokun Zhang, Xiangjian He, Linlin Shen
2024 J jnl
GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction.
Comput. Biol. Medicine
Mengmeng Gao, Daokun Zhang, Yi Chen, Yiwen Zhang, Zhikang Wang, Xiaoyu Wang, Shanshan Li, Yuming Guo, Geoffrey I. Webb, Anh T. N. Nguyen, Lauren T. May, Jiangning Song
2024 J jnl
Label Distribution Learning using the Squared Neural Family on the Probability Simplex.
CoRR
Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
2024 J jnl
Towards complex dynamic physics system simulation with graph neural ordinary equations.
Neural Networks
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu
2023 A* conf
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
AAAI
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2023 J jnl
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment.
CoRR
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
2023 J jnl
Link Prediction with Contextualized Self-Supervision.
IEEE Trans. Knowl. Data Eng.
Daokun Zhang, Jie Yin, Philip S. Yu
2023 — conf
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.
DASFAA (2)
Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui
2023 J jnl
Spectral Dual-Channel Encoding for Image Dehazing.
IEEE Trans. Circuits Syst. Video Technol.
Zhanchen Zhu, Daokun Zhang, Zhikang Wang, Siyuan Feng, Peibo Duan
2023 J jnl
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.
Comput. Methods Programs Biomed.
Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song
2023 J jnl
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs.
CoRR
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan
2022 J jnl
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.
CoRR
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
2022 A* conf
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.
ICDM
Qijie Ding, Daokun Zhang, Jie Yin
2022 J jnl
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.
CoRR
Qijie Ding, Daokun Zhang, Jie Yin
2022 J jnl
Estimating urban functional distributions with semantics preserved POI embedding.
Int. J. Geogr. Inf. Sci.
Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao
2022 J jnl
Link Prediction with Contextualized Self-Supervision.
CoRR
Daokun Zhang, Jie Yin, Philip S. Yu
2022 A* conf
Towards Unsupervised Deep Graph Structure Learning.
WWW
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022 J jnl
Towards Unsupervised Deep Graph Structure Learning.
CoRR
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2021 — conf
Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization.
DASFAA (2)
Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li
2021 J jnl
Search Efficient Binary Network Embedding.
ACM Trans. Knowl. Discov. Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2020 J jnl
Network Representation Learning: A Survey.
IEEE Trans. Big Data
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Attributed Network Embedding via Subspace Discovery.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 J jnl
Attributed network embedding via subspace discovery.
Data Min. Knowl. Discov.
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2019 — —
Augmented network embedding in attributed graphs
Daokun Zhang
2019 J jnl
Search Efficient Binary Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 — conf
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
PAKDD (2)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
Network Representation Learning: A Survey.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 A* conf
SINE: Scalable Incomplete Network Embedding.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2018 J jnl
SINE: Scalable Incomplete Network Embedding.
CoRR
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2017 A* conf
User Profile Preserving Social Network Embedding.
IJCAI
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 A conf
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.
CIKM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
2016 A* conf
Homophily, Structure, and Content Augmented Network Representation Learning.
ICDM
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang