Jieren Deng, Ph.D. (邓杰仁, 鄧傑仁)
what doesn't kill you makes you stronger
I am a Lead AI Engineer with research focus at Capital One AI Foundation team, working on next-generation AI systems. I obtained my Ph.D. from the School of Computing at the University of Connecticut (UCONN), advised by Professor Derek Aguiar in the EL GATO Lab.
I hold a B.Sc. from Queen Mary University of London (QMUL) and a B.A. from Beijing University of Posts and Telecommunications (BUPT) (2016), along with an M.S. from the University of Texas at Dallas (2018).
Industry Impact
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Microsoft (2024-2026)
- Multimodal AI & Vision-Language Models: Leading multiagent and multimodal interactive maps experience for IMAIA (accepted in February 2026 at CVPR 2026), focusing on spatial understanding, geospatial intelligence, and cross-modal reasoning; 3 patents filed
- Agentic AI & Multi-Agent Systems: Leading AIOps evolution for Azure Core with agent-based observability systems for autonomous agents, incident triaging, and intelligent reasoning; one research paper accepted in March 2026 at FSE 2026
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Baidu Research USA (2022-2023)
- Knowledge distillation and diffusion model research (ICASSP Oral, ICIP publications)
Selected Publications
- CVPR 2026 - IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence (Microsoft AI)
- FSE 2026 - An Agentic Framework for Triaging Incidents in Production Cloud Infrastructure (Microsoft Azure AIOps)
- ICASSP 2024 (Oral) - GBSD: Generative Bokeh with Stage Diffusion (Baidu Research)
- EMNLP 2021 (Oral) - A Secure and Efficient Federated Learning Framework for NLP
News
| Apr 2026 | Joined Capital One AI Foundation team as a Lead AI Engineer with research focus on next-generation AI systems and intelligence! |
|---|---|
| Mar 2026 | FSE 2026 accepted! An Agentic Framework for Triaging Incidents in Production Cloud Infrastructure - Exploring how AI agents can automate incident triage in large-scale cloud systems. |
| Feb 2026 | CVPR 2026 accepted! IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence - A new paradigm for conversational mapping with natural language interaction. Read the paper → |
| Jul 2025 | New publication! Distilling Adversarial Robustness Using Heterogeneous Teachers in Procedia Computer Science. Leveraging diverse teacher models to improve robustness through knowledge distillation. Read more. |
| Jun 2025 | Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness accepted by IJCNN 2025! Check it out here. |
| Dec 2024 | Successfully defended my Ph.D. thesis at UConn! Grateful for the support and excited for what’s next. |
| Jun 2024 | Joined Microsoft AI as a Data & Applied Scientist! Excited to work on cutting-edge AI research and applications. |
| May 2024 | Awarded Predoctoral Fellowship (2024) from UConn CSE - Honored for research contributions and academic achievements! |
| Dec 2023 | GBSD: Generative Bokeh with Stage Diffusion accepted as an Oral Presentation at ICASSP 2024! A novel approach to generating artistic bokeh effects. Read on arXiv |
| Nov 2023 | Appointed as Guest Lecturer for UConn Graduate Course CSE 5825 - Bayesian Machine Learning! |
| Sep 2023 | Invited to serve as a reviewer for SDM 2024 - SIAM Conference on Data Mining. |
| Sep 2023 | Serving as a reviewer for ICASSP 2024 - The IEEE International Conference on Acoustics, Speech and Signal Processing. |
| Sep 2023 | Invited to serve as a reviewer for AAAI 2024 - Helping advance the field through rigorous peer review. |
| Jul 2023 | Serving as a reviewer for ICML AdvML-Frontiers 2023 and EMNLP 2023 - Contributing to the community through peer review. |
| Jun 2023 | Joined Microsoft Maps AI team for a Data & Applied Scientist internship - Working on next-generation AI for spatial understanding. |
| Jun 2023 | SSSD: Single-Stage Semantic Diffusion accepted by ICIP 2023 - A new approach to image processing with diffusion models. Read on arXiv |
| May 2023 | Awarded Predoctoral Fellowship (2023) from UConn CSE - Grateful for continued support in research! |
| Jan 2023 | Honored to accept the invitation as a Program Committee (PC) member for KDD 2023! |
| May 2022 | Honored to accept the Predoctoral Fellowship from UConn CSE - Grateful for the support in research endeavors! |
| May 2022 | Started research internship at Baidu USA - Exploring advanced AI research in diffusion models and knowledge distillation. |
| Apr 2022 | SAPAG accepted by IJCNN-WCCI 2022! Novel framework for learning with partial membership. Read on IEEE Xplore |
| Nov 2021 | Paper on weight pruning optimization accepted by DATE 2022 - Advances in design automation and testing. Read on IEEE Xplore |
| Aug 2021 | FL-DISCO: Federated Learning with Distributed Collaborative Optimization accepted by ICCAD 2021 - Advancing distributed machine learning. Read on IEEE Xplore |
| Aug 2021 | A Secure and Efficient Federated Learning Framework for NLP accepted by EMNLP 2021 as an Oral Presentation! Privacy-preserving collaborative NLP training. Read on arXiv |
| Aug 2021 | TAG: Targeted Adversarial Gradients on Transformer-based Language Models accepted by EMNLP 2021! Exploring vulnerabilities in pre-trained language models. Read on arXiv |
| Jun 2021 | Internship at Oak Ridge National Laboratory (ORNL) - Collaborating on cutting-edge scientific research with national labs. |
| Feb 2021 | TinyADC: Model compression for analog-to-digital converters accepted by DATE 2021 with a Best Paper Nomination! Read on IEEE Xplore |
| Nov 2020 | ESMFL: Efficient Secure Multi-party Federated Learning accepted by NeurIPS Workshop 2020 (SpicyFL) - Privacy-preserving collaborative machine learning. Read on arXiv |
| Aug 2020 | Started my Ph.D. journey at University of Connecticut (UConn) in the Department of Computer Science and Engineering! |
| Aug 2020 | Awarded Cigna Graduate Fellowship from UConn CSE - Recognition for academic excellence and research potential. |
| Aug 2020 | Paper accepted by SOCC 2020 - The 33rd IEEE International System-on-chip Conference! Exploring system designs and optimizations. Read on IEEE Xplore |
| Jun 2020 | iPRIVATES published in Briefings in Bioinformatics 2020 - Privacy-preserving analysis of genomic data. Read on Oxford Academic |