Research output per year
Research output per year
Personal profile
Personal profile
He completed his Ph.D at Nanyang Technological University and earned his bachelor's degree at East China Normal University. Previously, he also worked at York University and New South Wales University. His research interests span information retrieval, natural language processing and machine learning. Additionally, he has several years' working experience at Microsoft and Baidu.
Related documents
Education/Academic qualification
PhD, Nanyang Technological University
Bachelor, East China Normal University
Person Types
- Staff
Fingerprint
Dive into the research topics where Zongyang Ma is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Natural Language Processing with Commonsense Knowledge: A Survey
Xie, Y., Liu, Z., Ma, Z., Meng, F., Xiao, Y., Miao, F. & Pu, P., 2024, (Submitted) In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
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Topic-Aware Response Selection For Dialogue Systems
Yuan, W., Ma, Z., An, A. & Huang, J., 2024, In: Natural Language Processing.Research output: Contribution to journal › Article › peer-review
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Unsupervised Knowledge Graph Generation Using Semantic Similarity Matching
Liu, L., Omidvar, A., Ma, Z., Agrawal, A. & An, A., 2022, DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop. Cherry, C., Fan, A., Foster, G., Haffari, G., Khadivi, S., Peng, N., Ren, X., Shareghi, E. & Swayamdipta, S. (eds.). Association for Computational Linguistics (ACL), p. 169-179 11 p. (DeepLo 2022 - 3rd Workshop on Deep Learning Approaches for Low-Resource NLP, Proceedings of the DeepLo Workshop).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
3 Citations (Scopus) -
Integrating Bayesian and neural networks for discourse coherence
Peng, J., Ma, Z., Jiang, D. & Wu, H., 13 May 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 294-300 7 p. (The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Integrating Bayesian and Neural Networks for Discourse Coherence
Peng, J., Ma, Z., Jiang, D. & Wu, H., 2019, Companion of the World Wide Web Conference.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review