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Hi! I am a Machine Learning Infrastructure Engineer at DocuSign Inc., focusing on AI Search. Before joining DocuSign, I was a Machine Learning Engineer at Neeva Inc., focusing on large language modeling for web search. I was a Master student from the Department of Computer Science and Engineering at Texas A&M University, working with Dr.Na Zou and Dr. Xia (Ben) Hu, graduated in Dec 2022. Before graduating, I worked as a Software Engineer Intern in Apple. Inc , where I helped develop an automated testing system to support the deployment iterations of the Journal app.

I received my Master degree in Industrial Engineering from Texas A&M University in 2020 and Bachelor degree in Logistics Engineering from Beijing University of Posts and Telecommunications. Before graduating, I was a Data Analyst Intern at Bristol-Myers Squibb (Devens, MA) from 07/2019-12/2019 , working with Christian Merrill.

When I was an engineer and researcher working at Data Lab of Texas A&M University, I focus on Anomaly Detection and Fairness AI. I was also a seasoned software developer working at Texas A&M Data Lab, contributed to several Python open-source projects with more than 1700 GitHub stars and more than50,000 downloads in total. [Resume]

Publications

[Google Schorlar]

2022

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey

Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
TKDD 2022, ACM Transactions on Knowledge Discovery from Data
[PDF]

2021

TODS: An Automated Time Series Outlier Detection System

Kwei-Herng Lai*, Daochen Zha*, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu
AAAI 2021, AAAI Conference on Artificial Intelligence, demo track
[Paper] | [Code] | [Video]

2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu
ICDM 2020, IEEE International Conference on Data Mining
[PDF] | [Slide] | [Code]

Work Experience

Machine Learning Infrastructure Engineer at DocuSign Inc. (San Francisco, CA) 07/2023-now

Machine Learning Engineer at Neeva Inc. (Mountain View, CA) 01/2023-06/2023

Intern/Co-op Experience

Software Engineer, internship at Apple Inc. (Cupertino, CA) 05/2022-08/2022

Data Scientist, Co-Op at Bristol-Myers Squibb (Devens, MA) 07/2019-12/2019
[Recommendation Letter]

Professional Service

Conference Program Committee Member (45 reviews in total):

2025 International Joint Conference on Artificial Intelligence (10 reviews).
2025 International Joint Conference on Neural Networks (10 reviews).
2025 Conference on Health, Inference, and Learning (2 reviews).
2025 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (3 reviews).
2025 AAAI Conference on Artificial Intelligence (6 reviews for AI Agent for Information Retrieval Workshop, Preventing and Detecting LLM Misinformation Workshop).
2025 International Conference on Learning Representations (7 reviews for Deep Generative Model in Machine Learning: Theory, Principle and Efficacy Workshop, AI for Nucleic Acids Workshop, GenAI Watermarking Workshop, Foundation Models in the Wild Workshop, XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge Workshop, AI for Children: Healthcare, Psychology, Education Workshop).
2025 Teaching and Learning Conference (3 reviews).
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (3 reviews for Out-of-Label Hazards in Autonomous Driving Workshop).
2025 IEEE International Conference on Electrical, Control and Computer Engineering (1 review).

Journal Reviewer (20 reviews in total):

IEEE Transactions on Neural Networks and Learning Systems (provided 3 reviews).
IEEE Transactions on Computational Social Systems (provided 2 reviews).

Open-Source Projects

TODS: An Automated Time-series Outlier Detection System

Presented in AAAI 2021
GitHub Repo stars GitHub Repo forks  [Website] | [Paper] | [Code] | [Video]

RLCard: A Toolkit for Reinforcement Learning in Card Games

GitHub Repo stars GitHub Repo forks  [Website] | [Paper] | [Demo] | [Code] | [Video]

Outside of Work

I have a cat named Oreo, born at the Aggieland shelter—he’s now 5 year old! He loves cuddles,tickles, and chicken dinner cans!

On weekends, I volunteer with the Rabbit Team at the San Jose Animal Shelter, helping care for adorable bunnies. Let me know if you’re thinking about adopting one!