Lecturer @ Faculty of Information Technology, Monash University
Melbourne, Victoria
Joined August 2014
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Xiaoning_Du retweeted
The CFP for ISSTA 2025 is out: make sure your best software testing and analysis research is submitted by the deadline, October 31. conf.researchr.org/home/isst… @issta_conf
🏆 Extremely happy to share that I received the Google Research Scholar award (research.google/programs-and…) this year with my proposal "Towards Faster and Greener LLM-assisted Programming"!
I expect to share more results in this direction soon! 😊
🚀 A few days ago at ICSE, Zhensu presented our paper "When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference", which lays an important foundation for this project.
paper: arxiv.org/abs/2401.09964
⛳ This project aims to reduce unfulfillable/unnecessary code generation, skip redundant inference computation, and devise energy-friendly code representations.
Xiaoning_Du retweeted
We've got four strong finalists at SCORE'23 @ICSEconf #ICSE2023 #SCORE2023
The first team presented their system to secure the software development life cycle. – at Melbourne, Victoria
📢CFP: 28th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2023) will be held in Singapore🇸🇬 this October! One best paper award and one best student paper award will be selected. Please consider submitting your papers here prdc.dependability.org/PRDC2…
📣📣
Are you teaching #SoftwareEngineering capstone projects?
Please consider participating in our software development projects to win the worldwide #SCORE competition.
⏰Registration dues 1 December 2022
RT=💕
Xiaoning_Du retweeted
Students and instructors, consider registering for the Student Contest on Software Engineering (SCORE'23).
Outstanding teams will win a trip to Melbourne to present their project at @ICSEconf'23
More info at: tinyurl.com/score2023
Are you looking for capstone projects for students to practice the software development lifecycle in your class? Please feel free to use our proposals! Outstanding teams will win a trip to Melbourne to present their project at ICSE’23! Share with your colleagues and students :D
The #SCORE Contest aims to promote and foster software engineering in universities worldwide. Student teams from all over the world participate in a competition for students from undergraduate to master’s levels.
conf.researchr.org/track/ics…
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We are hiring 🔊
Our #SoftwareEngineering group at @MonashInfotech in Melbourne is looking for a Lecturer and a Senior Lecturer. Open to all, women encouraged to apply! Join the team 😃
L (due 10 Aug): careers.pageuppeople.com/513…
SL (due 14 Aug): careers.pageuppeople.com/513…
It was my last SE conference trip before the pandemic... Really successful event! Also just realized our paper "DeepStellar: model-based quantitative analysis of stateful deep learning systems" dl.acm.org/doi/abs/10.1145/3… is the most cited one in ESEC/FSE2019 😃
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Just delivered my very very very first lecture! Exhausted but still feeling good 🤓 #MonashSE
Thank you guys for the warm welcome! I am so lucky to join you!
I'm so pleased to welcome Dr. Xiaoning Du @DODO_SG, an expert in AI Security to @MonashInfotech #MonashSE Group. We are so glad to have you here!
Xiaoning_Du retweeted
Just made our recent survey on "smart contract formal specification and verification" available on arXiv: arxiv.org/abs/2008.02712
We've also built a dataset of relevant publications, called SCPub: ntu-srslab.github.io/smart-c…
Hope this can be useful for people working on the topic
Xiaoning_Du retweeted
Joern's fuzzy C/C++ parser now has an integrated fuzzy pre-processor: joern.io/docs/importing/#dea… - the more code you can provide, the better your code representation will be.
Xiaoning_Du retweeted
Excited to announce that I am teaching a *new* course on ML interpretability and explainability at Harvard this semester. Course webpage: interpretable-ml-class.githu…. Lecture slides and background materials are being uploaded as the class progresses. Lecture videos coming soon!
Xiaoning_Du retweeted
Our recent work gets the media coverage, a neuron behavior-based method for fake face deteciton🧐
A team of researchers from @NTUsg, Kyushu University @KyushuUniv_EN, @AlibabaGroup, and @Xiaomi AI Lab have introduced a new approach that monitors neuron behavior to spot AI-synthesized fake faces. #deepfakes #AI
medium.com/syncedreview/ai-v…
