| 2025 | CIKM | Adversarially Attacking Graph Properties and Sparsification in Graph Learning. | Chunjiang Zhu, Blake Gaines, Jing Deng, Jinbo Bi |
| 2025 | EMNLP | Neural Topic Modeling via Contextual and Graph Information Fusion. | Jiyuan Liu, Jiaxing Yan, Chunjiang Zhu, Xingyu Liu, Li Qing, Yanghui Rao |
| 2025 | ICML | Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms. | Detian Zhang, Chengqiang Zhang, Yanghui Rao, Li Qing, Chunjiang Zhu |
| 2024 | COCOA | Differentially Private Counting Queries on Approximate Shortest Paths. | Jesse Campbell, Chunjiang Zhu |
| 2024 | EMNLP | Unsupervised Hierarchical Topic Modeling via Anchor Word Clustering and Path Guidance. | Jiyuan Liu, Hegang Chen, Chunjiang Zhu, Yanghui Rao |
| 2024 | EMNLP | Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning. | Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li |
| 2024 | ICLR | Density-Preserving Heterogeneous Graph Sparsification for Representation Learning. | Srilekha Geda, Chunjiang Zhu |
| 2023 | ADMA | Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting. | Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li |
| 2023 | COCOON | Improved Sourcewise Roundtrip Spanners with Constant Stretch. | Eli Stafford, Chunjiang Zhu |
| 2023 | ECAI | Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction. | Xunlian Luo, Chunjiang Zhu, Detian Zhang, Qing Li |
| 2023 | ICWS | Efficient Optimal Pick-up and Drop-off Point Recommendation for Ride-hailing Services. | Detian Zhang, Lun Jin, Chunjiang Zhu, Qing Li |
| 2021 | AAAI | An Efficient Algorithm for Deep Stochastic Contextual Bandits. | Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi |
| 2021 | ICML | Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. | Chunjiang Zhu, Qinqing Liu, Jinbo Bi |
| 2020 | AAAI | An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. | Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi |