I am a post-doc at the Language Technologies Institute (LTI) of Carnegie Mellon University, working with Prof. Graham Neubig, and a member of NeuLab.
My research interests are broad and include programming language processing (PLP), natural language processing (NLP) and deep learning in general.
I obtained a PhD in the department of Computer Science at the Technion, advised by Prof. Eran Yahav.
Previously, I served 7 years as an officer onboard a missile ship in the Israeli Navy. Later, I completed my BSc summa cum laude at the Computer Science Department at the Technion, as an alumnus of The Rothschild-Technion Scholars Program for Excellence. Between 2014-2016, I worked at Microsoft R&D center in Haifa, developing data security services for the cloud. Between June-September of 2018, I interned at Google New-York, researching neural models for speech recognition.
In addition, I hold a B.A. in Humanities.
I am happily married to Lee and father of Gur 🙂
Publications 
Accepted Papers
- How Attentive are Graph Attention Networks?
- Shaked Brody, Uri Alon, Eran Yahav
- To appear in ICLR’2022
- [PDF] [Code] [BibTex]
- GATv2 implementations: [PyTorch Geometric] [DGL] [TensorFlow GNN]
- On the Bottleneck of Graph Neural Networks and its Practical Implications
- A Structural Model for Contextual Code Changes
- Adversarial Examples for Models of Code
- Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs
- Structural Language Models of Code
- Contextual Speech Recognition with Difficult Negative Training Examples
- code2seq: Generating Sequences from Structured Representations of Code
- Uri Alon, Shaked Brody, Omer Levy, Eran Yahav
- Appeared in ICLR’2019
- Online demo: https://code2seq.org
- [PDF] [Poster] [Code] [BibTex]
- code2vec: Learning Distributed Representations of Code
- Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
- Appeared in POPL’2019
- ACM SIGPLAN Research Highlight
- Online demo: https://www.code2vec.org
- [PDF] [Slides] [Video] [Blog] [Code] [BibTex]
- A General Path-Based Representation for Predicting Program Properties
Technical Reports
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
- Jonathan Shen, …, Uri Alon, …
- [PDF]
Workshops
- Single-Node Attack for Fooling Graph Neural Networks
Demos
Service
- Program Committee: PLDI’2021, NeurIPS’2020 CAP workshop, AIDM’20, AIDM’19
- Reviewer: ICLR’2022, AIPLANS NeurIPS 2021 workshop, ICML’2021 (top 10% Best Reviewers), ICLR’2021, NeurIPS’2020, ICLR’2020
Awards
- 2021-2022 – Rothschild Post-Doctoral Fellowship
- 2021-2022 – Fulbright Post-Doctoral Fellowship (declined)
- 2020 – ACM SIGPLAN Research Highlight, “code2vec: Learning Distributed Representations of Code” (POPL’2019)
- 2019 – Jacobs Excellence Scholarship
- 2019 – Faculty Funding Excellence Scholarship
- 2018 – Faculty Funding Excellence Scholarship
- 2016 – Excellent Teaching Assistant
- 2016 – Dean’s Support Excellent Scholarship
- 2016 – Alumnus of the Rothchild-Technion Program for Excellence
- 2015 – SAMBA – CS Excellent Students