2
SELECTED PUBLICATIONS/CONFERENCES
Journal Articles
1.
Long Chen., Thakuriah, P. (V.) and Ampountolas, K. (2021) Short-term prediction of demand for ride-
hailing services: a deep learning approach. Journal of Big Data Analytics in Transportation , 3(2), pp. 175-
195. (doi: 10.1007/s42421-021-00041-4)
2.
Long Chen, Zhang, H., Jose, J. M. , Yu, H., Moshfeghi, Y. and Triantafillou, P. (2018) Topic detection
and tracking on heterogeneous information. Journal of Intelligent Information Systems , 51(1), pp. 115-
137. (doi: 10.1007/s10844-017-0487-y)
3.
Yu, H.-T., Jatowt, A., Blanco, R., Joho, H., Jose, J. M.,

Long Chen and Yuan, F. (2018) Revisiting the
cluster-based paradigm for implicit search result diversification. Information Processing and Management ,
54(4), pp. 507-528. (doi: 10.1016/j.ipm.2018.03.003)
4.
Long Chen., Jose, J. M. , Yu, H., Yuan, F. and Zhang, H. (2016) Probabilistic Topic Modelling with
Semantic Graph. Computer Science , 9626, pp. 240-251. (doi: 10.1007/978-3-319-30671-1_18)
Conference Proceedings
1.
Yu, H.-T., Jatowt, A., Joho, H., Jose, J. M. , Yang, X. and Long Chen,. (2019) WassRank: Listwise
Document Ranking Using Optimal Transport Theory. In: Twelfth ACM International Conference on Web
Search and Data Mining, Melbourne, Australia, 11-15 Feb 2019, pp. 24-32. ISBN
9781450359405 (doi:10.1145/3289600.3291006)
2.
Long Chen, Yuan, F., Jose, J. M. and Zhang, W. (2018) Improving Negative Sampling for Word
Representation Using Self-embedded Features. In: The 11th International Conference on Web Searching
and Data Mining (WSDM 2018), Los Angeles, CA, USA, 05-09 Feb 2018, pp. 99-107. ISBN
9781450355810 (doi:10.1145/3159652.3159695)
3.
Long Chen., Jose, J. M. , Yu, H. and Yuan, F. (2017) A Semantic Graph-Based Approach for Mining
Common Topics From Multiple Asynchronous Text Streams. In: 26th International World Wide Web
Conference: WWW 2017, Perth, Australia, 3-7 Apr 2017, pp. 1201-1209. ISBN
9781450349130 (doi:10.1145/3038912.3052630)
4.
Yuan, F., Jose, J. M. , Guo, G., Long Chen, Yu, H. and Alkhawaldeh, R. S. (2017) Joint Geo-Spatial
Preference and Pairwise Ranking for Point-of-Interest Recommendation. In: 28th International
Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, CA, USA, 6-8 Nov 2016, pp. 46-
53. ISBN 9781509044597 (doi:10.1109/ICTAI.2016.0018)
5.
Yuan, F., Guo, G., Jose, J. M. , Long Chen, Yu, H. and Zhang, W. (2017) BoostFM: Boosted Factorization
Machines for Top-N Feature-based Recommendation. In: IUI 2017: 22nd Annual Meeting of the
Intelligent User Interfaces Community, Limassol, Cyprus, 13-16 March 2017, pp. 45-54. ISBN
9781450343480 (doi:10.1145/3025171.3025211)
6.
Yuan, F., Guo, G., Jose, J. M. , Long Chen, Yu, H. and Zhang, W. (2016) Optimizing Factorization
Machines for Top-N Context-aware Recommendations. In: 17th International Conference on Web
Information Systems Engineering (WISE 2016), Shanghai, China, 7-10 Nov 2016, pp. 278-293. ISBN
9783319487397 (doi:10.1007/978-3-319-48740-3_20)
7.
Yuan, F., Guo, G., Jose, J. M. , Long Chen, Yu, H. and Zhang, W. (2016) LambdaFM: Learning Optimal
Ranking with Factorization Machines Using Lambda Surrogates. In: 25th ACM International Conference
on Information and Knowledge Management (CIKM 2016), Indianapolis, IN, USA, 24-28 Oct 2016, pp.
227-236. ISBN 9781450340731 (doi:10.1145/2983323.2983758)
8.
Long Chen, Jose, J. M. , Yu , H., Yuan, F. and Zhang, D. (2016) A Semantic Graph based Topic Model for
Question Retrieval in Community Question Answering. In: Ninth ACM International Conference on Web
Search and Data Mining, San Francisco, CA, USA, 22-25 Feb 2016, pp. 287-296. ISBN
9781450337168 (doi:10.1145/2835776.2835809)
9.
Fajie Yuan, Guibing Guo, Joemon M Jose, Long Chen and Haitao Yu. “Joint Geo-Spatial Preference and
Pairwise
Ranking

for

Point-of-Interest

Recommendation”

In

Proceedings

of

the

IEEE

International
Conference on Tools with Artificial Intelligence (ICTAI 2016, Best Student Paper Award)