Students
On-going Students
Lixi Zhou (Ph.D. Student) 2020 fall - present
ICDE 2024 Travel Award
NSF VLDB 2022 Travel Award
Intern student to IBM T.J Watson Research Center (New York) in 2022 summer and 2023 summer
Doctoral Fellowship 2021 spring
Papers
[ICDE 2024] Lixi Zhou*, K. Selçuk Candan, Jia Zou. DeepMapping: Learned Data Mapping for Lossless Compression and Efficient Lookup. The 40th IEEE International Conference on Data Engineering (ICDE 2024) Preprint: CoRR abs/2307.05861 (2023) [PDF] [13 pages]To Appear
[EDBT 2024] Lixi Zhou*, Qi Lin*, Kanchan Chowdhury, Saif Masood*, Eichenberger, Alexandre, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou. "Serving Deep Learning Model in Relational Databases." 27th International Conference on Extending Database Technology (EDBT'24). Research Track. [9 pages] To Appear
[SSDBM 2023] Lixi Zhou*, Lei Yu, Jia Zou, Hong Min. Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis. In Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023 [4 pages] [PDF]
[VLDB 2022] Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, and Jia Zou. "Serving Deep Learning Models with Deduplication from Relational Databases." (Published in VLDB 2022). [14 pages][PDF]
[SSDBM 2022] Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou, "Benchmark of DNN Model Search at Deployment Time." (Published in SSDBM 2022). [12 pages]
[SFDI 2020] Zijie Wang, Lixi Zhou, Jia Zou. "Integration of Fast-Evolving Data Sources Using A Deep Learning Approach." SFDI 2020, workshop co-located with VLDB 2020 [14 pages] [PDF][Video]
Preprint
Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou, "Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning", arxiv:2010.07586 [cs.DB] [12 pages]
Hong Guan (Ph.D. Student) 2022 fall - present
SHI Summer Fellowship, 2023
Papers
[SoCC 2023] Hong Guan*, Saif Masood*, Mahidhar Dawrampudi*, Venkatesh Gunda*, Hong Min, Lei Yu, Soham Nag*, Jia Zou. A Comparison of End-to-End Decision Forest Inference Pipelines, 2023 ACM Symposium on Cloud Computing SoCC'23 [16 pages][To Appear]
[IEEE Big Data 2023] Ankita Sharma*, Xuanmao Li*, Hong Guan*, Guoxin Sun*, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou. Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. 2023 IEEE International Conference on Big Data. (Industrial and Government Track) Pre-Print CoRR abs/2309.01957 (2023) [PDF] [10 pages][To Appear]
Ankita Sharma (Ph.D Student) 2022 fall - present
SHI Summer Fellowship, 2024
SHI Summer Fellowship, 2023
Papers
[IEEE Big Data 2023] Ankita Sharma*, Xuanmao Li*, Hong Guan*, Guoxin Sun*, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou. Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. 2023 IEEE International Conference on Big Data. (Industrial and Government Track) Pre-Print CoRR abs/2309.01957 (2023) [PDF] [10 pages][To Appear]
Guoxin Sun (Ph.D Student) 2023 fall - present
Fulton Fellowship, 2023
Papers
[IEEE Big Data 2023] Ankita Sharma*, Xuanmao Li*, Hong Guan*, Guoxin Sun*, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou. Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. 2023 IEEE International Conference on Big Data. (Industrial and Government Track) Pre-Print CoRR abs/2309.01957 (2023) [PDF] [10 pages][To Appear]
Lulu Xie (Ph.D Student) 2024 summer - present
Saif Masood (Master Thesis Student) 2023 spring - present
Papers
[EDBT 2024] Lixi Zhou*, Qi Lin*, Kanchan Chowdhury, Saif Masood*, Eichenberger, Alexandre, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou. "Serving Deep Learning Model in Relational Databases." 27th International Conference on Extending Database Technology (EDBT'24). Research Track. [9 pages] To Appear
[SoCC 2023] Hong Guan*, Saif Masood*, Mahidhar Dawrampudi*, Venkatesh Gunda*, Hong Min, Lei Yu, Soham Nag*, Jia Zou. A Comparison of End-to-End Decision Forest Inference Pipelines, 2023 ACM Symposium on Cloud Computing SoCC'23 [16 pages]
Soham Nag (Master Thesis Student) 2023 fall - present
Papers
[SoCC 2023] Hong Guan*, Saif Masood*, Mahidhar Dawrampudi*, Venkatesh Gunda*, Hong Min, Lei Yu, Soham Nag*, Jia Zou. A Comparison of End-to-End Decision Forest Inference Pipelines, 2023 ACM Symposium on Cloud Computing SoCC'23 [16 pages]
Xuanmao Li (Intern Undergraduate Student from Huazhong University of Science and Technology) 2023 summer - present
Papers
[IEEE Big Data 2023] Ankita Sharma*, Xuanmao Li*, Hong Guan*, Guoxin Sun*, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou. Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. 2023 IEEE International Conference on Big Data. (Industrial and Government Track) Pre-Print CoRR abs/2309.01957 (2023) [PDF] [10 pages][To Appear]
Alumni Students
Graduated Thesis-Track Master Students
Amitabh Das 2020 fall-2021 spring
First Employment: Amazon Aurora Storage Team
Publications
[VLDB 2022] Lixi Zhou, Jiaqing Chen, Amitabh Das, Hong Min, Lei Yu, Ming Zhao, and Jia Zou. "Serving Deep Learning Models with Deduplication from Relational Databases." (To Appear). [14 pages][PDF]
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das, Yingzhen Yang, Jia Zou, "Benchmark of DNN Model Search at Deployment Time." (To Appear in SSDBM 2022). [12 pages]
[VLDB 2021] Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, and Chris Jermaine. "Lachesis: Automatic Partitionings for UDF-Centric Analytics.", VLDB 2021, PVLDB Volume 14 Issue 8 [14 pages][PDF]
Pratik Barhate 2020 fall - 2021 spring
Thesis: Shuffle Overhead Analysis for the Layered Data Abstractions
First Employment: Amobee
Publications
[VLDB 2021] Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, and Chris Jermaine. "Lachesis: Automatic Partitionings for UDF-Centric Analytics.", VLDB 2021, PVLDB Volume 14 Issue 8 [14 pages][PDF]
Valay Dave 2020 fall -2021 spring
Thesis: Augmenting Academic Research Search and Reading with Richer Context
First Employment: OuterBounds
Zijie Wang 2020 fall - 2021 fall
First Employment: ASU Ph.D student
Publications
Lixi Zhou, Arindam Jain, Zijie Wang, Amitabh Das*, Yingzhen Yang, Jia Zou, "Benchmark of DNN Model Search at Deployment Time." (To Appear in SSDBM 2022). [12 pages]
Zijie Wang, Lixi Zhou, Jia Zou. "Integration of Fast-Evolving Data Sources Using A Deep Learning Approach." SFDI 2020, workshop co-located with VLDB 2020 [14 pages] [PDF][Video]
Zijie Wang, Lixi Zhou, Amitabh Das, Valay Dave, Zhanpeng Jin, Jia Zou, "Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning", arxiv:2010.07586 [cs.DB] [12 pages]
Other past students:
Qi Lin (RA) 2023 fall - 2024 spring: Fulton Fellowship, 2023
Summer Gautier (Undergraduate Research Assistant) 2022 fall - 2023 fall: CAOE DHS REU Fellowship , 2023
Evan Crabtree (Undergraduate Research Assistant) 2022 fall - 2023 spring
Venkatesh Gunda (GRA) 2022
Mahidhar Reddy Dwarampudi (GRA) 2022
Rajan Hari Ambrish (GSA) 2022 summer- 2022 fall
Pavan Chikkathimmegowda (GSA) 2022 spring
Jiaqing Chen (RA/TA) 2021 spring - 2022 spring
Dheeraj Akula (GSA) 2021 summer
Raja Sowmith (GSA) 2021 summer
Lingfeng Xu (GSA/TA) 2019 fall - 2020 spring
Srihari Jayakumar (GSA/TA) 2019 fall
Pradeep Chowdary Jampani (GSA) 2019 fall
Vishnu Teja Yalakuntla (GSA) 2019 fall
