PLAYER Wenji 2.0 TAMPERE
Wenji Bai
WENJI BAI
DOCTORAL RESEARCHER
TAMPERE UNIVERSITY
▶ GPT-LAB · FCAI · AI-DOC PROGRAMME · Tampere University

HI THERE :)
I'M WENJI BAI

I'm a Doctoral Researcher in Computer Science at GPT-Lab, Tampere University, and a member of the AI-DOC programme under the Finnish Center for Artificial Intelligence (FCAI). My work centres on Generative AI, Agentic AI, and AI reliability & trustworthiness.

ABOUT ME

I feel very happy and lucky to work with my supervisors: Dr. Muhammad Waseem, Prof. Pekka Abrahamsson, and Prof. Jaakko Peltonen. My current research looks at failure patterns in agentic systems. I'm especially interested in attributing and explaining the failed outputs of AI agents: why they go wrong, where, and who's responsible.

Previously, I focused on Mutual Adversarial Learning, GNNs and GANs. I earned my M.Sc. in Computer Science at Hunan Normal University, Changsha, China, where I was fortunate to work with Prof. Lianming Zhang.

Outside research, I love music & playing tennis, watching movies, and writing — in my spare time I write my own songs. And yes, I'm also a lifelong gaming fan.

QUICK FACTS

📍Tampere, Finland
🎓PhD · Computer Science
🧠Generative AI & Agentic AI
🛡️AI reliability & trust
🎵Songwriter
!

QUEST LOG

!
2026 · MAY 1st Place — OBJECTION! AI ACT, Norrin Track, AI for Good Hackathon, Helsinki, Finland.
AWARD
!
2026 · MAY 1st Place — Youth Participation Idea Competition, Tampere, Finland.
AWARD
!
2026 · MAY Preparing a 3-minute elevator pitch for the AI-DOC × industry event.
TALK
!
2026 Completed my first paper and plan to submit it to JSS.
PAPER
!
2024–2025 Poster presentations at the AI-DOC Annual Event, Helsinki, Finland.
EVENT
📚

PUBLICATIONS

'23
TMANomaly: Time-Series Mutual Adversarial Networks for Industrial Anomaly Detection
Lianming Zhang, Wenji Bai, Xiaowei Xie, Liying Chen, Pingping Dong
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS · 2023
'23
A Data-Driven Network Intrusion Detection System Using Feature Selection and Deep Learning
Lianming Zhang, Kui Liu, Xiaowei Xie, Wenji Bai, Baolin Wu, Pingping Dong
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS · 2023
'22
MANomaly: Mutual Adversarial Networks for Semi-Supervised Anomaly Detection
Lianming Zhang, Xiaowei Xie, Kai Xiao, Wenji Bai, Kui Liu, Pingping Dong
INFORMATION SCIENCES · 2022
🎮

SIDE QUEST

INDIE GAME PROJECT

IN DEV

A creative project in the gaming space: A little place where every drink tells a story. Run your bar, brew magical cocktails, and uncover the secrets your customers carry through the door. Who stays, who leaves, and who changes forever? That's up to you. More to come.

GAME DESIGNSTORYTELLINGINDIE DEV