Biography
Xu Jin holds a Ph.D. in Computer Science from Stevens Institute of Technology, USA, and was a Postdoctoral Fellow at the Wharton School, University of Pennsylvania (where a US-based social network TV recommendation system was developed in 2013, receiving widespread media coverage). They successively served as a Senior Data Scientist at US technology companies (developing an intelligent monitoring system based on public opinion, with work reported by mainstream US media such as The New York Times and CNBC) and as a WeChat Research Supervisor. They have published over 20 articles in top-tier conferences and journals, including AAAI, ACL, WWW, IJCAI, ACMM, and TNNLS, and are committed to industry-academia-research collaboration in Artificial Intelligence. They have been selected for talent programs such as the Guangdong Provincial Young Scientist program.
Recruitment: The group is actively recruiting students for postgraduate recommendation and direct Ph.D. enrollment (Contact: jinxu@scut.edu.cn). Master's students will gain at least one WeChat project internship experience, and Ph.D. students will gain at least two. Opportunities for internships at other departments within Alibaba and Tencent are also available. Long-term recruitment of Postdoctoral Fellows. Interested candidates should contact via email.
Contact: jinxu@scut.edu.cn
Education Background
2012, Ph.D., Computer Engineering, Stevens Institute of Technology, USA
2007, M.S., Beijing Institute of Technology, China
2005, B.S., Shandong University, China
Working Experience
2022.03-Present, Tenured Professor, School of Future Technology, South China University of Technology (SCUT)
2018.01-2022.03, Expert Researcher / Research Supervisor, Tencent WeChat
2015.05-2018.01, Senior Data Scientist, Vulcan.inc
2013.06-2015.05, Senior Data Scientist, BehaviorMatrix, LLC
2012.07-2013.06, Postdoctoral Fellow, Wharton School, University of Pennsylvania
Selected Publications
(1) Semisupervised Feature Selection Based on Relevance and Redundancy Criteria, J Xu, B Tang, H He, M Hong. 2017 TNNLS
(2) Popularity Prediction on Online Articles with Deep Fusion of Temporal Process. D Liao, J Xu*, G Li, W Huang, J Li. 2019 AAAI
(3) Weak Supervision for Fake News Detection via Reinforcement Learning. Y Wang, W Yang, F Ma, J Xu*, B Zhong, Q Deng, Jing Gao. 2020 AAAI
(4) Cognitive Representation Learning of Self-Media Online Article Quality. Y. Wang, S. Huang, G. Li, Q. Deng, D. Liao, P. Si, Y. Yang, J Xu*. 2020 ACM MM
(5) Hierarchical Coherence Modeling for Document Quality Assessment D Liao, J Xu*, G Li, Y Wang. 2021 AAAI
(6) Text2Event:Controllable Sequence-to-Structure Generation for End-to-end Event Extraction. Y Lu, H Lin, J Xu*, X Han , J Tang , A Li , L Sun, M. Liao , S. Chen. 2021 ACL.
(7) From Discourse to Narrative: Knowledge Projection for Event Relation Extraction. J Tang, H Lin, M Liao, Y Lu, J Xu* 2021 ACL
(8) GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data. D Wu, J Xu*, X Dong, M Liao, R Wang, F Nie, X Li. 2021 IJCAI
(9) Semantic IR fused Heterogeneous Graph Model in Tag-based Video Search. L Gao, D Liao, G Li, J Xu*, H Zhuo. www 2022
(10) Keyword-Based Diverse Image Retrieval with Variational Multiple Instance Graph. Y. Zeng, Y. Wang, D. Liao, G. Li, W.Huang, J Xu*, H Man 2022 TNNLS, in press.
