| Heterogeneous Graph Masked Autoencoders Y Tian, K Dong, C Zhang, C Zhang, NV Chawla Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023., 2022 | 48 | 2022 |
| Label-invariant Augmentation for Semi-Supervised Graph Classification H Yue, C Zhang, C Zhang, H Liu Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS …, 2022 | 19 | 2022 |
| 3D Enhanced Multi-scale Network for Thoracic Organs Segmentation Q Wang, W Zhao, C Zhang, L Zhang, C Wang, Z Li, S Cui, G Li SegTHOR@ ISBI 3 (1), 1-5, 2019 | 18 | 2019 |
| Boosting Graph Neural Networks via Adaptive Knowledge Distillation Z Guo, C Zhang, Y Fan, Y Tian, C Zhang, N Chawla Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), 2023., 2022 | 15 | 2022 |
| Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization C Zhang, Y Tian, M Ju, Z Liu, Y Ye, N Chawla, C Zhang International Conference on Learning Representations (ICLR), 2023., 2023 | 13 | 2023 |
| Toward tailored models on private aiot devices: Federated direct neural architecture search C Zhang, X Yuan, Q Zhang, G Zhu, L Cheng, N Zhang IEEE Internet of Things Journal 9 (18), 17309-17322, 2022 | 13 | 2022 |
| Co-Modality Graph Contrastive Learning for Imbalanced Node Classification Y Qian, C Zhang, Y Zhang, Q Wen, Y Ye, C Zhang Advances in Neural Information Processing Systems, 2022 | 12 | 2022 |
| Fair Graph Representation Learning via Diverse Mixture-of-Experts Z Liu, C Zhang, Y Tian, E Zhang, C Huang, Y Ye, C Zhang International World Wide Web Conference (WWW), 2023., 2023 | 10 | 2023 |
| GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media J Wu, C Zhang, Z Liu, E Zhang, S Wilson, C Zhang IEEE International Conference on Data Mining (ICDM), 2022., 2022 | 7 | 2022 |
| Look twice as much as you say: Scene graph contrastive learning for self-supervised image caption generation C Zhang, C Huang, Y Li, X Zhang, Y Ye, C Zhang ACM International Conference on Information & Knowledge Management (CIKM …, 2022 | 6 | 2022 |
| GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning Q Wen, Z Ouyang, C Zhang, Y Qian, C Zhang, Y Ye The 40th Conference on Uncertainty in Artificial Intelligence (UAI), 2024, 2024 | 5* | 2024 |
| Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning Z Liu, G Dou, Y Tian, C Zhang, E Chien, Z Zhu The Web Conference 2024 (WWW 2024), 2024 | 4 | 2024 |
| When sparsity meets contrastive models: less graph data can bring better class-balanced representations C Zhang, C Huang, Y Tian, Q Wen, Z Ouyang, Y Li, Y Ye, C Zhang International Conference on Machine Learning (ICML), 2023, 41133-41150, 2023 | 3 | 2023 |
| Fdnas: Improving data privacy and model diversity in automl C Zhang, Y Liang, X Yuan, L Cheng arXiv preprint arXiv:2011.03372, 2020 | 3 | 2020 |
| SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models Y Jian, T Liu, Y Tao, S Vosoughi, H Yang arXiv preprint arXiv:2310.03291, 2023 | 2 | 2023 |
| Mitigating Emergent Robustness Degradation while Scaling Graph Learning X Yuan, C Zhang, Y Tian, Y Ye, C Zhang The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 1* | 2024 |
| Aligning Relational Learning with Lipschitz Fairness Y Jia, C Zhang, S Vosoughi The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 1 | 2024 |
| Navigating Graph Robust Learning against All-Intensity Attacks X Yuan, C Zhang, Y Tian, C Zhang The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | 1 | 2023 |
| Prompt Learning Unlocked for App Promotion in the Wild Z Ouyang, S Hou, S Ma, C Chen, C Zhang, T Li, X Xiao, C Zhang, Y Ye NeurIPS 2023 Workshop GLFrontiers homepage, 2023 | 1 | 2023 |
| How to Improve Representation Alignment and Uniformity in Graph-based Collaborative Filtering? Z Ouyang, S Hou, C Zhang, C Zhang, Y Ye International AAAI Conference on Web and Social Media (ICWSM), 2024, 2024 | | 2024 |
Soroush VosoughiAssistant Professor of Computer Science, Dartmouth. Ex Postdoc/PhD at MIT. Ex fellow at HarvardVerified email at mit.edu
