Longbing Cao

Longbing Cao public CV

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Phone+61 2 9850 9583
Emaillongbing.caomq.eduau

Research activity per year

104 Article
53 Conference proceeding contribution
16 Conference paper
8 Review article
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16 results

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2021
Coupling macro-sector-micro financial indicators for learning stock representations with less uncertainty
Wang, G., Cao, L., Zhao, H., Liu, Q. & Chen, E., 2021, In: Proceedings of the AAAI Conference on Artificial Intelligence. 35, 5, p. 4418-4426 9 p.
Research output: Contribution to journal › Conference paper › peer-review
23 Citations (Scopus)
Self-supervised bilingual syntactic alignment for neural machine translation
Zhang, T., Huang, H., Feng, C. & Cao, L., 2021, In: Proceedings of the AAAI Conference on Artificial Intelligence. 35, 16, p. 14454-14462 9 p.
Research output: Contribution to journal › Conference paper › peer-review
6 Citations (Scopus)
Tripartite collaborative filtering with observability and selection for debiasing rating estimation on missing-not-at-random data
Zhang, Q., Cao, L., Shi, C. & Hu, L., 2021, In: Proceedings of the AAAI Conference on Artificial Intelligence. 35, 5, p. 4671-4678 8 p.
Research output: Contribution to journal › Conference paper › peer-review
11 Citations (Scopus)
2020
Representation learning with multiple lipschitz-constrained alignments on partially-labeled cross-domain data
Jian, S., Hu, L., Cao, L. & Lu, K., 2020, In: Proceedings of the AAAI Conference on Artificial Intelligence. 34, 4, p. 4320-4327 8 p.
Research output: Contribution to journal › Conference paper › peer-review
3 Citations (Scopus)
2019
Evolutionarily learning multi-aspect interactions and influences from network structure and node content
Jian, S., Hu, L., Cao, L., Lu, K. & Gao, H., 2019, In: Proceedings of the AAAI Conference on Artificial Intelligence. 33, 1, p. 598-605 8 p.
Research output: Contribution to journal › Conference paper › peer-review
6 Citations (Scopus)
HERS: modeling influential contexts with heterogeneous relations for sparse and cold-start recommendation
Hu, L., Jian, S., Cao, L., Gu, Z., Chen, Q. & Amirbekyan, A., 2019, In: Proceedings of the AAAI Conference on Artificial Intelligence. 33, 1, p. 3830-3837 8 p.
Research output: Contribution to journal › Conference paper › peer-review
51 Citations (Scopus)
Multi-view information-theoretic co-clustering for co-occurrence data
Xu, P., Deng, Z., Choi, K-S., Cao, L. & Wang, S., 2019, In: Proceedings of the AAAI Conference on Artificial Intelligence. 33, 1, p. 379-386 8 p.
Research output: Contribution to journal › Conference paper › peer-review
24 Citations (Scopus)
2018
Coupled Poisson Factorization integrated with user/item metadata for modeling popular and sparse ratings in scalable recommendation
Do, T. D. T. & Cao, L., 2018, In: Proceedings of the AAAI Conference on Artificial Intelligence. 32, 1, p. 2918-2925 8 p.
Research output: Contribution to journal › Conference paper › peer-review
16 Citations (Scopus)
Metric-based auto-instructor for learning mixed data representation
Jian, S., Hu, L., Cao, L. & Lu, K., 2018, In: Proceedings of the AAAI Conference on Artificial Intelligence. 32, 1, p. 3318-3325 8 p.
Research output: Contribution to journal › Conference paper › peer-review
15 Citations (Scopus)
Sparse modeling-based sequential ensemble learning for effective outlier detection in high-dimensional numeric data
Pang, G., Cao, L., Chen, L., Lian, D. & Liu, H., 2018, In: Proceedings of the AAAI Conference on Artificial Intelligence. 32, 1 , p. 3892-3899 8 p.
Research output: Contribution to journal › Conference paper › peer-review
44 Citations (Scopus)
2017
Beyond IID: learning to combine Non-IID metrics for vision tasks
Shi, Y., Li, W., Gao, Y., Cao, L. & Shen, D., 2017, In: Proceedings of the AAAI Conference on Artificial Intelligence. 31, 1, p. 1524-1531 8 p.
Research output: Contribution to journal › Conference paper › peer-review
10 Citations (Scopus)
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble
Zhai, T., Gao, Y., Wang, H. & Cao, L., Sept 2017, In: Data Mining and Knowledge Discovery. 31, 5, p. 1242–1265 24 p.
Research output: Contribution to journal › Conference paper › peer-review
19 Citations (Scopus)
2015

Actionable combined high utility itemset mining
Shao, J., Yin, J., Liu, W. & Cao, L., 2015, In: Proceedings of the AAAI Conference on Artificial Intelligence. 29, 1, p. 4206-4207 2 p.
Research output: Contribution to journal › Conference paper › peer-review

Open Access

2 Citations (Scopus)
Coupled collaborative filtering for context-aware recommendation
Jiang, X., Liu, W., Cao, L. & Long, G., 2015, In: Proceedings of the AAAI Conference on Artificial Intelligence. 29, 1, p. 4172-4173 2 p.
Research output: Contribution to journal › Conference paper › peer-review

Open Access
4 Citations (Scopus)
Deep modeling complex couplings within financial markets
Cao, W., Hu, L. & Cao, L., 2015, In: Proceedings of the AAAI Conference on Artificial Intelligence. 29, 1, p. 2518-2524 7 p.
Research output: Contribution to journal › Conference paper › peer-review

Open Access
16 Citations (Scopus)
2014
Deep modeling of group preferences for group-based recommendation
Hu, L., Cao, J., Xu, G., Cao, L., Gu, Z. & Cao, W., 2014, In: Proceedings of the AAAI Conference on Artificial Intelligence. 28, 1, p. 1861-1867 7 p.
Research output: Contribution to journal › Conference paper › peer-review
92 Citations (Scopus)

Longbing Cao

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