Xin Wang, 王馨

Ph.D., Postdoctoral Fellow, Shuimu Tsinghua Scholar,
Instititue for Advanced Study
Tsinghua University
Email: wangxin87 _at_ tsinghua.edu.cn
Orcid: 0000-0002-1665-8398

Short Bio

Dr. Xin Wang is a Postdoctoral Fellow at the Institute for Advanced Study, Tsinghua University, collaborating with Dr. Sisi Duan. Xin received her Ph.D. in Information Systems from University of Maryland, Baltimore County in Aug 2022, advised by Dr. Jianwu Wang. Xin started her Ph.D. study in Fall 2018 in Data Science, worked as a Research Assistant in the Distributed Systems and Security Lab until Fall 2020, and worked in the Big Data Analytics Lab as a Research Assistant. Her research interests include distributed systems security, blockchains, big data analytics, edge-cloud computing and applied cryptography.

Education

[2018 - 2022] Ph.D. in Information Systems, University of Maryland, Baltimore County, U.S.A.
[2013 - 2017] B.S. in Computer and Information Sciences, Anhui University of Finance and Economics, China.

Employment

[Nov 2022 - present] Postdoctoral Fellow at Institute for Advanced Study, Tsinghua University, Beijing, China.
[Aug 2021 - May 2022] Research Assistant at Center for Real-time Distributed Sensing and Autonomy, University of Maryland, Baltimore County, MD, U.S.A.
[Aug 2020 - May 2022] Graduate Research Assistant at Big Data Analytics Lab, University of Maryland, Baltimore County, MD, U.S.A.
[Aug 2019 - May 2022] Treasurer at Chinese Student and Scholar Association (CSSA), University of Maryland, Baltimore County, MD, U.S.A.
[Jan 2019 - Jan 2021] Research Assistant and Program Developer at Softhread Inc., Baltimore, MD, U.S.A.
[Aug 2018 - Aug 2020] Graduate Research Assistant at Distributed Systems and Security Lab, University of Maryland, Baltimore County, MD, U.S.A.

Awards and Honors

Shuimu Scholar Program, Tsinghua University, Jul 2023
Student Travel Award, IEEE International Conference on Big Data, Dec 2021

Publication

Also see my papers at Google Scholar. *Students under my supervision.

Journal

[j4] Xin Wang, Pei Guo, Xingyan Li^*, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman and Jianwu Wang. “Reproducible and Portable Big Data Analytics in Cloud.”, IEEE Transactions on Cloud Computing (February 2023), DOI: 10.1109/TCC.2023.3245081. [link] (IF 5.6)
[j3] Xin Wang, Azim Khan^*, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart and Jade Freeman. “An Edge-Cloud Integrated Framework for Flexible and Dynamic Stream Analytics.”, Future Generation Computer Systems, 2022. DOI: 10.1016/j.future.2022.07.023. [link] (IF 7.3)
[j2] Wanghu Chen, Chenhan Zhai, Xin Wang, Jing Li and Pengbo Lv. “GCN and GRU based Intelligent Model for Temperature Prediction of Local Heating Surfaces.”, IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2022.3193414. [link] (IF 11.6)
[j1] Xin Wang, Sisi Duan, James R. Clavin, and Haibin Zhang. “BFT in Blockchains: From Protocols to Use Cases.” ACM Comput. Surv. (2021). DOI: 10.1145/3503042. [link] (IF 14.3)

Conference Full Papers

[c6] Yunqing Bian^*, Xin Wang, Jian Jin, Zhenzhen Jiao, and Sisi Duan. "Flexible and Scalable Decentralized Identity Management for Industrial Internet of Things", 2024 IEEE Internet of Things Journal (IOTJ), 2024, DOI: 10.1109/JIOT.2024.3399535. [link] (CCF C)
[c5] Sisi Duan, Xin Wang and Haibin Zhang. "FIN: Practical Signature-Free Asynchronous Common Subset in Constant Time", Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS). 2023, pp. 815–829, DOI: 10.1145/3576915.3616633. [link] (CCF A)
[c4] James R. Clavin, Yue Huang, Xin Wang, Pradeep M. Prakash, Sisi Duan, Jianwu Wang, and Sean Peisert. “A Framework for Evaluating BFT,” 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021, pp. 193-200, DOI: 10.1109/ICPADS53394.2021.00030. [link] (CCF C)
[c3] Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen and Yelena Yesha. "Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning," 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 3380-3389, DOI: 10.1109/BigData52589.2021.9671583. [link] (CCF C)
[c2] Xin Wang, Pei Guo and Jianwu Wang. "Large-Scale Causality Discovery Analytics as a Service," 2021 IEEE International Conference on Big Data (Big Data), 2021, pp. 3130-3140, DOI: 10.1109/BigData52589.2021.9671373. [link] (CCF C)
[c1] Sisi Duan, Chao Liu, Xin Wang, Yusen Wu, Shuai Xu, Yelena Yesha, and Haibin Zhang. "Intrusion-Tolerant and Confidentiality-Preserving Publish/Subscribe Messaging," 2020 International Symposium on Reliable Distributed Systems (SRDS), 2020, pp. 319-328, DOI: 10.1109/SRDS51746.2020.00039. [link] (CCF B)

Manuscripts:

Xin Wang, Haochen Wang, Haibin Zhang, and Sisi Duan. "Pando: Extremely Scalable BFT Based on Committee Sampling." [eprint]
Xiao Sui, Xin Wang, and Sisi Duan. "Signature-Free Atomic Broadcast with Optimal $O(n^2)$ Messages and $O(1)$ Expected Time." [eprint]
Xin Wang, Sisi Duan, and Haibin Zhang. “REDEF: Federated Learning against Poisoning Attacks.”

Doctoral Dissertation

Xin Wang. "Secure, Reproducible and Adaptive Machine Learning in Distributed Systems." PhD diss., University of Maryland, Baltimore County, 2022. Committee members: Dr. Jianwu Wang (chair), Dr. Sisi Duan, Dr. Aryya Gangopadhyay, Dr. Zhiyuan Chen, and Dr. Sanjay Purushotham. [link]

Co-supervision

I have been fortunate to work with some great students.

Current students

Shuhe Cao, 202000460014 at mail.sdu.edu.cn, Master student at Shandong University (Fall 2024 - present)
Yue Huang, y-huang22 at mails.tsinghua.edu.cn, Ph.D student at Tsinghua University (Fall 2022 - present)
Yunqing Bian, bianyunqing at mail.sdu.edu.cn, Master student at Shandong University (Fall 2022 - Summer 2024)
Azim Khan, azimkhan22 at umbc.edu, Ph.D student at UMBC (Spring 2022 – present)
Xingyan Li, xingyanli at umbc.edu, Ph.D student at UMBC (Fall 2021 – present)
Seraj Mostafa, s172 at umbc.edu, Ph.D student at UMBC (Fall 2021 – present)

Professional Service

Journal/Conference Reviewer

[2024] NDSS, CCS, S&P, FC
[2023] S&P, FC, Elsevier FGCS, IEEE BigData
[2022] Elsevier FGCS, IEEE BigData
[2021] ICDCS, DSN, Springer Multimedia Tools and Applications
[2020] ICDCS, DSN, Springer Multimedia Tools and Applications

Program Committee

2022 Artificial Intelligence To Security (AITS 2022)

Other Experience

Volunteer of IEEE International Conference on Big Data, Dec 2021
Treasurer of Chinese Student and Scholar Association (CSSA), University of Maryland, Baltimore County, 2019 - 2022
Volunteer of NSF Blockchain Workshop, Center for Accelerated Real Time Analytics (CARTA), University of Maryland, Baltimore County, Nov 2018

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