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发表SCI/EI论文十余篇，近5年部分论文成果：

[1] Ma, C., Guo, T., Yang, Q., Chen, X., Gao, X., Liang, S., Chawla, N. and Zhang, X., 2024, April. A Property-Guided Diffusion Model For Generating Molecular Graphs. In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2365-2369).

[2] Ma, C., Yang, Q., Liang, S. and Gao, X., 2023, December. A Distribution Preserving Model for Molecular Graph Generation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (pp. 379-386).

[3] Ma, C., Yang, Q., Gao, X. and Zhang, X., 2022, October. Disentangled molecular graph generation via an invertible flow model. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 1420-1429).

[4] Ma, C. and Zhang, X., 2021, October. GF-VAE: a flow-based variational autoencoder for molecule generation. In Proceedings of the 30th ACM international conference on information & knowledge management (pp. 1181-1190).

[5] Ma, C., Li, J., Pan, P., Li, G., Du, J., 2019, August. BDMF: a biased deep matrix factorization model for recommendation. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing.

[6] Yang, Q., Ma, C., Zhang, Q., Gao, X., Zhang, C. and Zhang, X., 2023, August. Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2988-2998).

[7] Yang, Q., Ma, C., Zhang, Q., Gao, X., Zhang, C. and Zhang, X., 2023, February. Interpretable research interest shift detection with temporal heterogeneous graphs. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (pp. 321-329).

[8] Li, M., Chen, X., Xiang, J., Zhang, Q., Ma, C., Dai, C., Chang, J., Liu, Z. and Zhang, G., 2024, March. Multi-Intent Attribute-Aware Text Matching in Searching. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (pp. 360-368).

与阿卜杜拉国王科技大学、圣母大学、上海交通大学、华中科技大学、电子科技大学等国内外科研机构保持良好合作关系。

欢迎对情感计算、生成式人工智能、大模型感兴趣的硕士生、本科生加入。