Xinyun Chen

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The Chinese University of Hong Kong, Shenzhen ∙ berkeley college

Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis

The use of deep learning techniques has achieved significant progress fo...
07/16/2020 ∙ by Kavi Gupta, et al. ∙ 9 ∙ share

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Perfect Sampling of Multivariate Hawkes Process

As an extension of self-exciting Hawkes process, the multivariate Hawkes...
07/12/2020 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Adversarial Attacks for Embodied Agents

Adversarial attacks are valuable for providing insights into the blind-s...
05/19/2020 ∙ by Aishan Liu, et al. ∙ 40 ∙ share

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REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data

Deep neural networks (DNNs) have achieved tremendous success in various ...
11/17/2019 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies

We consider off-policy policy evaluation when the trajectory data are ge...
10/10/2019 ∙ by Xinyun Chen, et al. ∙ 13 ∙ share

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A Neural-based Program Decompiler

Reverse engineering of binary executables is a critical problem in the c...
06/28/2019 ∙ by Cheng Fu, et al. ∙ 0 ∙ share

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Learning to Progressively Plan

For problem solving, making reactive decisions based on problem descript...
09/30/2018 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Tree-to-tree Neural Networks for Program Translation

Program translation is an important tool to migrate legacy code in one l...
02/11/2018 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Deep learning models have achieved high performance on many tasks, and t...
12/15/2017 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Can you fool AI with adversarial examples on a visual Turing test?

Deep learning has achieved impressive results in many areas of Computer ...
09/25/2017 ∙ by Xiaojun Xu, et al. ∙ 0 ∙ share

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Learning Neural Programs To Parse Programs

In this work, we study an important problem: learning programs from inpu...
06/05/2017 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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Latent Attention For If-Then Program Synthesis

Automatic translation from natural language descriptions into programs i...
11/07/2016 ∙ by Xinyun Chen, et al. ∙ 0 ∙ share

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A General Retraining Framework for Scalable Adversarial Classification

Traditional classification algorithms assume that training and test data...
04/09/2016 ∙ by Bo Li, et al. ∙ 0 ∙ share

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Xinyun Chen

Featured Co-authors

Dacheng Tao

Bo Li

Chang Liu

Dawn Song

Hongyuan Zha

Lu Wang

Yevgeniy Vorobeychik

Yuandong Tian

Xianglong Liu

Farinaz Koushanfar

Anna Rohrbach

Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis

Perfect Sampling of Multivariate Hawkes Process

Adversarial Attacks for Embodied Agents

REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data

Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies

A Neural-based Program Decompiler

Learning to Progressively Plan

Tree-to-tree Neural Networks for Program Translation

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Can you fool AI with adversarial examples on a visual Turing test?

Learning Neural Programs To Parse Programs

Latent Attention For If-Then Program Synthesis

A General Retraining Framework for Scalable Adversarial Classification