AIware 2026
Mon 6 - Tue 7 July 2026
Montreal, Canada
co-located with
FSE 2026
Toggle navigation
Attending
Conference Venue: Concordia SGW Campus @Downtown Montreal
Fun Activities: Montreal, Canada
Banquet Venue: FUNHUB Montreal @Downtown Montreal
FSE 2026
Registration
Accommodation
Transportation
Broadening Participation Plan
Code of Conduct
Travel and Child Care Support Grants
Visa and Travel Authorization Information for FSE 2026 and its Co-Located Events
FSE26 Exclusive Events and Activities
Program Overview
NSF Student Travel Support for FSE 2026 (US-based Students Only)
Prior to Arrival: Advance Declaration using the ArriveCan app
Poster Dimensions and Printing
Program
AIware Program
Your Program
Mon 6 Jul
Tue 7 Jul
Tracks
AIware 2026
Main Track
ArXiv Track
Benchmark & Dataset Track
Industry Demo Track
FSE-AIWare Joint Competition
Keynotes
Organization
AIware 2026 Committees
Steering Committee
Organizing Committee
Track Committees
Main Track
ArXiv Track
Benchmark & Dataset Track
Industry Demo Track
FSE-AIWare Joint Competition
Contributors
People Index
Search
Series
Series
AIware 2026
AIware 2025
AIware 2024
Sign in
Sign up
FSE 2026
(
series
) /
AIware 2026
(
series
) /
Zhenhao Li
FSE 2026 profile
conf.research.org general profile
ASE 2020 profile
ASE 2023 profile
ASE 2025 profile
ASE 2026 profile
CASCON 2025 profile
ECOOP and ISSTA 2023 profile
FSE 2025 profile
FSE 2027 profile
ICSE 2019 profile
ICSE 2020 profile
ICSE 2021 profile
ICSE 2023 profile
ICSE 2024 profile
ICSE 2025 profile
ICSE 2026 profile
ICSE 2027 profile
ICST 2025 profile
ISSTA 2025 profile
ISSTA/ECOOP 2024 profile
Internetware 2024 profile
Internetware 2026 profile
SANER 2025 profile
SANER 2026 profile
SPLASH/ISSTA 2026 profile
Registered user since Thu 13 Dec 2018
Name:
Zhenhao Li
Country:
Canada
Affiliation:
York University
Personal website:
https://ginolzh.github.io/
Contributions
2026
ESEC/FSE
Committee Member in Program Committee within the Industry Papers-track
Committee Member in Program Committee within the Research Papers-track
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
PROMISE
An Empirical Study of Waterfall-style Multi-Agent Workflows for Class-Level Code Generation
Committee Member in Programming Committee within the PROMISE 2026-track
Show activities from other conferences
Share
Using general profile
x
Wed 27 May 22:49