Xue-Song Wang is a PhD candidate in the Data Dynamics Group at UNSW supervised by Scientia A. Prof. Lina Yao. His research focuses on building explainable models and uncertainty evaluation using Neural Processes. He received the Master degree in 2019 from Tongji University, supervised by Prof. Qi Kang and Distinguished Prof. MengChu Zhou (work closely). He received the Bachelor degree in 2016 from NUAA.

Publications

• Xuesong Wang*, Lina Yao, Islem Rekik, Yu Zhang “Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification”. In International Conference on Medical Image Computing and Computer Assisted Intervention , MICCAI, 2022.

• Saurav Jha, Dong Gong, Xuesong Wang, Richard E Turner, Lina Yao* “The Neural Process Family: Survey, Applications and Perspectives.” In Arxiv, 2022.

• Xuesong Wang*, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang “Meta Latent Neural Processes for Uncertainty Estimation over Evolving Data Streams”. In IEEE Transactions on Neural Networks and Learning Systems , TNNLS, 2022.

• Xuesong Wang*, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang “Global Convolutional Neural Processes”. In IEEE International Conference on Data Mining, ICDM 2021. [Paper] · [code]

• Xuesong Wang, Lina Yao*, Xianzhi Wang, Feiping Nie, and Boualem Benatallah “NP-PROV: Neural Processes with Position-Relevant-Only Variances”. In International Conference on Web Information Systems Engineering, WISE 2021. [Paper] · [code]

• Xuesong Wang*, Lina Yao, Wei Liu, Can Li, Lei Bai, and S. Travis Waller, “Mobility Irregularity Detection with Smart Transit Card Data”. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD, 2020. [Paper] · [code]

• XueSong Wang, Qi Kang*, MengChu Zhou, Le Pan, and Abdullah Abusorrah, “Multiscale Drift Detection Test to Enable Fast Learning in Nons-tationary Environments”. In IEEE Transactions on Cybernetics, 2020. [Paper] · [code]

• Ning Qian, Xuesong Wang, Yucan Fu*, Zhengcai Zhao, Jiuhua Xu, and Jiajia Chen, “Predicting Heat Transfer of Oscillating Heat Pipes for Machining Processes based on Extreme Gradient Boosting Algorithm”. In Applied Thermal Engineering, 2020. [Paper] · [code]

• Xuesong Wang, Qi Kang*, Jing An, and Mengchu Zhou*, “Drifted Twitter Spam Classification Using Multiscale Detection Test on K-L Divergence”. In IEEE Access, 2019. [Paper] · [code]

• Qi Kang*, Lei Shi, MengChu Zhou, XueSong Wang, QiDi Wu, and Zhi Wei, “A Distance-based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification”. In IEEE Transactions on Neural Networks and Learning Systems, TNNLS, 2018. [Paper]

Honors and Awards

• 2023 Invited talk: “Uncertainty Estimation in Time Series with Neural Processes” Meetup
• 2021 Invited PhD lightning talk: “Into-the-Unknown: Uncertainty Evaluation for Multimedia Environments”ACM Multimedia Asia 2021
• 2021 ICDM Best Student Paper Candidate.
• 2021 3-Minute-Thesis Final-list, UNSW. (Check out the video here)
• 2021 3-Minute-Thesis Second Prize (2 out of 7), School of Computer Science and Engineering, UNSW. (3MT is a competition for PhDs to consolidate their ideas and crystallise research discoveries in 3 minutes.)
• 2021 Google Research India Graduate Symposium Attendee.
• 2020 UNSW HDR Conference Grant, $2500.
• 2019-2023 TFS PhD scholarship. Four-years funding with tuition fee waiver, UNSW.
• 2019 Outstanding Master Thesis. Tongji Unviersity award for academic excellence.
• 2018 TJU-TUM Industrial 4.0 Symposium. Selected to present the master project in Technical University of Munich.
• 2015 Exchange Student Scholarship. Exchange program in RMIT.

Professional Services

• Reviewer:
  • Conferences: CIKM 2021, CKIM 2022.
  • Journals: ACM Transactions on Sensor Networks, IEEE TNNLS.
• External Reviewer:
  • Conferences: CIKM 2020, IPSN 2020.
  • Journals: IEEE Access.

Teaching

• Tutor, COMM1190 “Data, Insights, Decisions”, Undergraduate, Term 3 2021, UNSW.
• Tutor, INFS3830 “Social Media and Analytics”, Undergraduate, Term 1 2022, UNSW.
• Tutor, INFS5730, “Social Media and Enterprise 2.0”, Postgraduate, Term 2, 2022, UNSW.

CV

• Mar 2022 Edition

Personal Interests

• Mentor and singing club host, Personalized English Language Enhancement PELE, Term2 2020, with UNSW linguistic A. Prof. Mira Kim
• Dialects: Love “guessing” and “classifying” one’s hometown by the dialect
• Psychology: Interested in explanation for human behaviors, recently reading The Social Animal by Elliot Aronson.