I am an Assistant Professor working with the School of Computer Science and Technology at Shandong University. I received my Ph.D. degree from the Computer Science Department at Stony Brook University, SUNY, where I worked in the Data Management and Biomedical Data Analytics Lab(BMIDB) under the supervision of Professor Fusheng Wang. I received my M.S. in Computer Science from Emory University and my B.E. in Software Engineering from Xi’an Jiaotong University. A full version of my CV can be found here.

My research interests lie in Big Data Systems, Spatial-Temporal Data Management Systems, and Geographic Information Systems (GIS). I am looking for self-motivated Master’s students. If you are interested in playing with big spatial data at a billion, even trillion scales, please drop me an email with your resume attached.

Education

• Ph.D. in Computer Science, The State University of New York (SUNY) at Stony Brook, 2021
• M.S. in Computer Science, Emory University, 2014
• B.E. in Software Engineering, Xi’an Jiaotong University, 2012

Work Experience

• 2022.04-present: Assistant Professor at Shandong University, Qingdao, China
• 2021.12-2022.04: Algorithm Engineer at Alibaba, Beijing, China
• 2018.06-2019.07: Algorithm Engineer at Huawei, Shenzhen, China
• 2015.05-2015.08: Software Engineer at Alibaba, Seattle, WA, USA
• 2014.05-2014.08: Software Engineer at Pitney Bowes, Shelton, CT, USA

Selected Publications

• [2024 BigData] Zhuohan Xu, Dejun Teng*, Zhaohui Peng, Fusheng Wang. Understanding the Intrinsic Characteristics of Spatial Partitioning in Distributed Spatial Join. To Appear in Proceedings of the 2024 IEEE International Conference on BigData (IEEE BigData 2024). December 15-18, 2024, Washington DC, USA.
• [2024 VLDB] Fusheng Wang, Rubao Lee, Dejun Teng, Xiaodong Zhang, Joel Saltz. High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now. VLDB. Volume 17, Issue 12: 1-14. (CCF A)
• [2023 Geoinformatica] Dejun Teng, Furqan Baig, Zhaohui Peng, Jun Kong, and Fusheng Wang. Efficient spatial queries over complex polygons with hybrid representations. Springer Geoinformatica. Volume 27, Issue 4: 1-39. (CCF B)
• [2022 EDBT] Dejun Teng, Furqan Baig, Vo Hoang, Yanhui Liang, Jun Kong and Fusheng Wang. 3DPro: Querying Complex Three-Dimensional Data with Progressive Compression and Refinement. 25th International Conference on Extending Database Technology (EDBT 2022). pp. 104-117, March 29-April 1, 2022. Edinburgh, UK. (CCF B)
• [2022 TSAS] Dejun Teng, Yanhui Liang, Hoang Vo, Jun Kong, and Fusheng Wang. Efficient 3D Spatial Queries for Complex Objects. ACM Transactions on Spatial Algorithms and Systems (TSAS) 8, no. 2 (2022): 1-26
• [2022 JPHS] Kayley Abell-Hart, Sina Rashidianb, Dejun Teng, Richard N Rosenthal, and Fusheng Wang. Where Opioid Overdose Patients Live Far From Treatment: Geospatial Analysis of Underserved Populations in New York State. In JMIR Public Health and Surveillance (JPHS), JMIR, 2022
• [2021 SIGSPATIAL] Dejun Teng, Akshay Nehe, Prajeeth Emanuel, Furqan Baig, Jun Kong, and Fusheng Wang. GPU-based Real-time Contact Tracing at Scale. 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2021), ACM, pp. 1–10
• [2021 MDM] Dejun Teng, Furqan Baig, Qiheng Sun, Jun Kong, and Fusheng Wang. IDEAL: a Vector-Raster Hybrid Model for Efficient Spatial Queries over Complex Polygons. IEEE 22nd International Conference on Mobile Data Management (MDM 2021). IEEE, pp. 99–108
• [2021 ICDE] Baig Furqan, Dejun Teng, Jun Kong, and Fusheng Wang. Spear: Dynamic spatio-temporal query processing over high-velocity data stream., IEEE 37th International Conference on Data Engineering (ICDE 2021): pp. 2279–2284, (CCF A)
• [2020 LI] Roy Mousumi, Fusheng Wang, Hoang Vo, Dejun Teng, George Teodoro, Alton B. Farris, Eduardo Castillo-Lion, Miriam B. Vos, and Jun Kong. Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies. Laboratory Investigation (2020), Nature Publishing Group: 1-17
• [2020 FBD] Baig Furqan, Chao Gao, Dejun Teng, Jun Kong, and Fusheng Wang. Accelerating Spatial Cross-Matching on CPU-GPU Hybrid Platform with CUDA and OpenACC. Frontiers Big Data 3 (2020): 14.
• [2019 DAPD] Dejun Teng, Jun Kong, and Fusheng Wang. Scalable and Flexible Management of Medical Image Big Data. Distributed and Parallel Databases 37, no. 2 (2019): 235-250
• [2019 DAPD] Vo Hoang, Jun Kong, Dejun Teng, Yanhui Liang, Ablimit Aji, George Teodoro, and Fusheng Wang. MaReIA: a cloud MapReduce based high performance whole slide image analysis framework. Distributed and Parallel Databases 37, no. 2 (2019): 251-272
• [2018 TOS] Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Yanfeng Zhang, Siyuan Ma, and Xiaodong Zhang. A Low-cost Disk Solution Enabling LSM-tree to Achieve High Performance for Mixed Read/Write Workloads. ACM Transactions on Storage (TOS) 14, no. 2 (2018): 1-26, (CCF A)
• [2017 ICDCS] Dejun Teng, Lei Guo, Rubao Lee, Feng Chen, Siyuan Ma, Yanfeng Zhang, and Xiaodong Zhang. LSbM-tree: Re-enabling buffer caching in data management for mixed reads and writes. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 68-79. IEEE, 2017, (CCF B)

Teaching

• SDU 01332230: Database Systems, Lecturer, Fall 2023, Fall 2024
• SDU 01231460: Data Structure and Database Technology, Lecturer, Fall 2022, Fall 2023, Fall 2024
• SDU 013317502: Advanced Programming Language, Lecturer, Spring 2023, Spring 2024
• SDU 0470043: Big Data Management and Analysis, Lecturer, Spring 2023, Spring 2024
• SBU CSE 532: Theory of Database Systems, Teaching Assistant, Spring 2020
• SBU CSE 537: Artificial Intelligence, Teaching Assistant, Fall 2019
• OSU CSE 2111: Modeling and Problem Solving with Spreadsheets and Databases, Teaching Assistant, Fall 2015, Fall 2017
• OSU CSE 5339: Intermediate Studies in Parallel Computing, Teaching Assistant, Spring 2015

Academic Services

• PC chair
  • VLDB DMAH 2022
• PC member
  • ACM SIGSPATIAL 2022,2023,2024(Publicity co-Chair)
  • IEEE BigData 2024(Web Chair)
  • APWEB/WAIM 2022,2023,2024
• Journal reviewer
  • ACM Transactions on Database Systems (TODS)
  • The International Journal on Very Large Data Bases (VLDBJ)
  • Knowledge and Information Systems (KAIS)
  • ACM Transactions on Spatial Algorithms and Systems (TSAS)
  • Springer Distributed and Parallel Databases (DAPD)