| 2026 | WWW | Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs. | Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng |
| 2025 | AAAI | Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling. | Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang |
| 2024 | AAAI | A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. | Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng |
| 2024 | IJCAI | LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. | Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng |
| 2023 | AAAI | Trafformer: Unify Time and Space in Traffic Prediction. | Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang |
| 2023 | ICML | Contrastive Learning Meets Homophily: Two Birds with One Stone. | Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang |
| 2023 | KSEM | Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. | Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang |
| 2022 | AAAI | Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. | Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang |
| 2022 | WWW | Inflation Improves Graph Neural Networks. | Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang |
| 2022 | WWW | Graph Neural Network for Higher-Order Dependency Networks. | Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang |
| 2021 | IJCAI | Self-Guided Community Detection on Networks with Missing Edges. | Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang |
| 2021 | SMC | Evolutionary Multitasking via Artificial Neural Networks. | Xia Chen, Yuxiao Huang, Wei Zhou, Liang Feng |
| 2020 | FlAIRS | Improving Classification Accuracy by Mining Deterministic and Frequent Rules. | Yuxiao Huang |
| 2020 | ICDM | NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. | Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang |
| 2020 | IJCAI | Adversarial Mutual Information Learning for Network Embedding. | Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu |
| 2019 | IJCAI | An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. | Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang |
| 2019 | WWW | A Novel Generative Topic Embedding Model by Introducing Network Communities. | Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Franoise Fogelman-Souli, Yuxiao Huang |
| 2015 | FlAIRS | Fast and Accurate Causal Inference from Time Series Data. | Yuxiao Huang, Samantha Kleinberg |
| 2014 | ICDM | Imputation of Missing Values in Time Series with Lagged Correlations. | Shah Atiqur Rahman, Yuxiao Huang, Jan Claassen, Samantha Kleinberg |
| 2012 | ICMLC | Learning the structure of Dynamic Bayesian Network with domain knowledge. | Juan Chen, Haiyang Jia, Yuxiao Huang, Dayou Liu |
| 2011 | ICNC | A factor graph inference algorithm for diagnostic Bayesian networks. | Yuxiao Huang, Haiyang Jia, Yungang Zhu, Dayou Liu |