Xinyun Chen (陈 昕昀) Email: xinyun.chen at berkeley dot edu   Hi! I am a Ph.D. student at UC Berkeley, advised by Prof. Dawn Song. I received my B.S. degree in Computer Science from ACM Honored Class, Shanghai Jiao Tong University. I was a research intern at Google Brain, working with Denny Zhou and Chen Liang; a research intern at Facebook AI Research (FAIR), working with Yuandong Tian; a research intern at UC Berkeley, working with Prof. Dawn Song; and a visiting student at National Institute of Informatics, working with Prof. Helmut Prendinger. My research lies at the intersection of deep learning, programming language, and security. Currently, I mainly focus on neural program synthesis and adversarial machine learning.   Publications [Google Scholar] | Awards | Education | Talks | Misc.

Publications

• Learning to Perform Local Rewriting for Combinatorial Optimization

  Xinyun Chen, Yuandong Tian.

  Advances in Neural Information Processing Systems (NeurIPS), 2019.




• A Neural-based Program Decompiler

  Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao.

  Advances in Neural Information Processing Systems (NeurIPS), 2019.




• Execution-Guided Neural Program Synthesis

  Xinyun Chen, Chang Liu, Dawn Song.

  International Conference on Learning Representations (ICLR), 2019.




• Tree-to-tree Neural Networks for Program Translation

  Xinyun Chen, Chang Liu, Dawn Song.

  Advances in Neural Information Processing Systems (NeurIPS), 2018.

   




• Fooling Vision and Language Models Despite Localization and Attention Mechanism

  Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darell, Dawn Song.

  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018




• Towards Synthesizing Complex Programs from Input-Output Examples

  Xinyun Chen, Chang Liu, Dawn Song.

  International Conference on Learning Representations (ICLR), 2018.




• Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

  Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song.

  Media coverage: Motherboard | The Register




• Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong

  Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song.

  USENIX Workshop on Offensive Technologies (WOOT), 2017.




• Delving into Transferable Adversarial Examples and Black-box Attacks

  Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song.

  International Conference on Learning Representations (ICLR), 2017.




• A General Retraining Framework for Scalable Adversarial Classification

  Bo Li, Yevgeniy Vorobeychik, Xinyun Chen.

  NIPS Workshop on Adversarial Training, 2016.




• Latent Attention For If-Then Program Synthesis

  Xinyun Chen, Chang Liu, Richard Shin, Dawn Song, Mingcheng Chen.

  Advances in Neural Information Processing Systems (NIPS), 2016.

Honors and Awards

• Departmental Fellowship of EECS, UC Berkeley, 2017.

• The Prize of Excellent Bachelor Thesis (top 1% in Shanghai Jiao Tong University), 2017.

• Outstanding Graduate of Shanghai Jiao Tong University, 2017.

• Gold Medal of Asia-Pacific Informatics Olympiad in China District, 2012.

• Silver Medal of Chinese Team Selection Contest, 2012.

Education

• Aug 2017 - Present: Ph.D., Computer Science, UC Berkeley. Advisor: Prof. Dawn Song.

• Sep 2013 - Jun 2017: B.S., ACM Honored Class, Zhiyuan College, Shanghai Jiao Tong University. Rank: 1/30.

Talks

• Feb 2019: Neural Program Synthesis from Input-Output Examples, UC San Diego.

• Nov 2018: Towards Synthesizing Complex Programs from Input-Output Examples, guest lecture in CS294-157: Deep Learning and Program Synthesis.

• Oct 2018: Neural Program Synthesis from Input-Output Examples, Facebook Big Code Summit.

• May 2018: Deep Learning for Program Synthesis, guest lecture in CS379C: Computational Models of the Neocortex, Stanford University.

• Feb 2018: Deep Learning for Program Synthesis, RISELab, UC Berkeley.

Miscellaneous

In my spare time, I enjoy listening to all kinds of music. I have played the piano since kindergarten, and received the highest-level certificates of piano and music theory in China. I used to play some other instruments, including recorder and harmonica.