Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (CIKM, 2016)

Homophily, Structure, and Content Augmented Network Representation Learning. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2016)

User Profile Preserving Social Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IJCAI, 2017)

SINE: Scalable Incomplete Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ICDM, 2018)

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (PAKDD (2), 2018)

Attributed network embedding via subspace discovery. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (Data Min. Knowl. Discov., 2019)

Augmented network embedding in attributed graphs - Daokun Zhang (2019)

Network Representation Learning: A Survey. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (IEEE Trans. Big Data, 2020)

Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. - Shipeng Wang 001; Daokun Zhang; Lizhen Cui; Xudong Lu; Lei Liu 003; Qingzhong Li (DASFAA (2), 2021)

Search Efficient Binary Network Embedding. - Daokun Zhang; Jie Yin 001; Xingquan Zhu 001; Chengqi Zhang (ACM Trans. Knowl. Discov. Data, 2021)

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. - Qijie Ding; Daokun Zhang; Jie Yin 001 (ICDM, 2022)

Towards Unsupervised Deep Graph Structure Learning. - Yixin Liu 001; Yu Zheng 013; Daokun Zhang; Hongxu Chen 002; Hao Peng 001; Shirui Pan (WWW, 2022)

Estimating urban functional distributions with semantics preserved POI embedding. - Weiming Huang 001; Lizhen Cui; Meng Chen 003; Daokun Zhang; Yao Yao 004 (Int. J. Geogr. Inf. Sci., 2022)

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. - Yixin Liu 001; Yizhen Zheng; Daokun Zhang; Vincent C. S. Lee; Shirui Pan (AAAI, 2023)

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. - Kai Zhang; Daokun Zhang; Ning Liu 014; Yonghua Yang; Yonghui Xu; Zhongmin Yan; Hui Li 048; Lizhen Cui (DASFAA (2), 2023)

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan (CoRR, 2023)

Link Prediction with Contextualized Self-Supervision. - Daokun Zhang; Jie Yin 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. - Zhikang Wang; Qian Gao; Xiaoping Yi; Xinyu Zhang 017; Yiwen Zhang; Daokun Zhang; Pietro Liò; Chris Bain; Richard Bassed; Shanshan Li; Yuming Guo 001; Seiya Imoto; et al. (Comput. Methods Programs Biomed., 2023)

Spectral Dual-Channel Encoding for Image Dehazing. - Zhanchen Zhu; Daokun Zhang; Zhikang Wang; Siyuan Feng; Peibo Duan (IEEE Trans. Circuits Syst. Video Technol., 2023)

GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction. - Mengmeng Gao; Daokun Zhang; Yi Chen; Yiwen Zhang; Zhikang Wang; Xiaoyu Wang 016; Shanshan Li; Yuming Guo 001; Geoffrey I. Webb; Anh T. N. Nguyen; Lauren T. May; Jiangning Song (Comput. Biol. Medicine, 2024)

Towards complex dynamic physics system simulation with graph neural ordinary equations. - Guangsi Shi; Daokun Zhang; Ming Jin 005; Shirui Pan; Philip S. Yu (Neural Networks, 2024)

Label Distribution Learning using the Squared Neural Family on the Probability Simplex. - Daokun Zhang; Russell Tsuchida; Dino Sejdinovic (UAI, 2025)

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (CoRR, 2025)

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis. - Xinheng Lyu; Yuci Liang; Wenting Chen; Meidan Ding; Jiaqi Yang; Guolin Huang; Daokun Zhang; Xiangjian He; Linlin Shen (CoRR, 2025)

Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. - Qijie Ding; Jie Yin 001; Daokun Zhang; Junbin Gao (Data Min. Knowl. Discov., 2025)

CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (Expert Syst. Appl., 2026)