Students

On-going Postdoctoral Scholoars

Kanchan Chowdhury 2024 fall - present

On-going Ph.D 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

[SIGMOD 2025] Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, and Jia Zou. Privacy and Accuracy-Aware AI/ML Model Deduplication. International Conference on Management of Data 2025 (SIGMOD 2025) [To Appear]

[DASFAA 2025 (Demo)] Hong Guan,  Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Deepti Gupta, Yancheng Wang, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou, Declarative Privacy-Preserving Inference Queries, the 30th International Conference on Database Systems for Advanced Applications (DASFAA 2025) [To Appear]

[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

[SIGMOD 2025] Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, and Jia Zou. Privacy and Accuracy-Aware AI/ML Model Deduplication. International Conference on Management of Data 2025 (SIGMOD 2025) [To Appear]

[DASFAA 2025 (Demo)] Hong Guan,  Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Deepti Gupta, Yancheng Wang, Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou, Declarative Privacy-Preserving Inference Queries, the 30th International Conference on Database Systems for Advanced Applications (DASFAA 2025) [To Appear]

[SPT-IoT Workshop 2025] Hong Guan, Jia Zou. Privacy-Preserving Range Aggregation Queries Using a Learning-Based Approach. The Eight International Workshop on Security, Privacy,  and Trust in the Internet of Things 

[IEEE Big Data 2024] Xie, L., Wang, Y., Guan, H., Nag, S., Goel, R., Swamy, N.E.N., Yang, Y., Xiao, C., Prisby, J., Maciejewski, R. and Zou, J., 2024. IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection. 2024 IEEE International Conference on Big Data. (Industrial and Government Track)  Pre-Print: arXiv preprint arXiv:2408.01690. [40 pages] [PDF] ( IDNet, has been downloaded 3500+ times on Zenodo!)

[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

[ICDE 2025 (Demo)]  Ankita Sharma, Jaykumar Tandel, Xuanmao Li, Lanjun Wang, Anna Fariha, Liang Zhang,

Syed Arsalan Ahmed Naqvi, Irbaz Bin Riaz, Lei Cao, Jia Zou.  DATAMORPHER: Automatic Data Transformation Using LLM-based

Zero-Shot Code Generation. The 41st IEEE International Conference on Data Engineering (ICDE 2025) [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]

Lulu Xie (Ph.D Student)  2024 summer - present

[SIGMOD 2025] Hong Guan, Lei Yu, Lixi Zhou, Li Xiong, Kanchan Chowdhury, Lulu Xie, Xusheng Xiao, and Jia Zou. Privacy and Accuracy-Aware AI/ML Model Deduplication. International Conference on Management of Data 2025 (SIGMOD 2025) [To Appear]

[IEEE Big Data 2024] Xie, L., Wang, Y., Guan, H., Nag, S., Goel, R., Swamy, N.E.N., Yang, Y., Xiao, C., Prisby, J., Maciejewski, R. and Zou, J., 2024. IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection. 2024 IEEE International Conference on Big Data. (Industrial and Government Track)  Pre-Print: arXiv preprint arXiv:2408.01690. [40 pages] [PDF] ( IDNet, has been downloaded 3500+ times on Zenodo!)

Jaykumar Tandel (Ph.D Student)  2025 spring - present

• Papers

[ICDE 2025 (Demo)]  Ankita Sharma, Jaykumar Tandel, Xuanmao Li, Lanjun Wang, Anna Fariha, Liang Zhang,

Syed Arsalan Ahmed Naqvi, Irbaz Bin Riaz, Lei Cao, Jia Zou.  DATAMORPHER: Automatic Data Transformation Using LLM-based

Zero-Shot Code Generation. The 41st IEEE International Conference on Data Engineering (ICDE 2025) [To Appear]

Alumni Students

Graduated Thesis-Track Master Students

Saif Masood (Master Thesis Student)  2023 spring - present

• Thesis: Accelerating Deep Learning Inference in Relational Database Systems

• First Employment: Amazon AWS

• Publications

[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

• Thesis: A Streamlined Pipeline to Generate Synthetic Identity Documents

• Publications

[IEEE Big Data 2024] Xie, L., Wang, Y., Guan, H., Nag, S., Goel, R., Swamy, N.E.N., Yang, Y., Xiao, C., Prisby, J., Maciejewski, R. and Zou, J., 2024. IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection. 2024 IEEE International Conference on Big Data. (Industrial and Government Track)  Pre-Print: arXiv preprint arXiv:2408.01690. [40 pages] [PDF] ( IDNet, has been downloaded 3500+ times on Zenodo!)

[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]

Amitabh Das  2020 fall-2021 spring

• Thesis: Database Storage Design for Model Serving Workloads

• 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

• Thesis: Examining Data Integration with Schema Changes Based on Cell-Level Mapping Using Deep Learning Models

• 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]

Undergraduate Thesis Students

Xuanmao Li (Intern Undergraduate Student from Huazhong University of Science and Technology) 2023 

• Thesis: 基于大语言模型的数据转换研究

• First Employment: Master Student of Cornell University

• Publications

[ICDE 2025 (Demo)]  Ankita Sharma, Jaykumar Tandel, Xuanmao Li, Lanjun Wang, Anna Fariha, Liang Zhang,

Syed Arsalan Ahmed Naqvi, Irbaz Bin Riaz, Lei Cao, Jia Zou.  DATAMORPHER: Automatic Data Transformation Using LLM-based

Zero-Shot Code Generation. The 41st IEEE International Conference on Data Engineering (ICDE 2025) [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]

Other past students:

Guoxin Sun (RA) 2023 fall - 2024 spring: Fulton Fellowship, 2023

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