Xinyun Chen

According to our database, Xinyun Chen authored at least 99 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Defending Multiple ℓ _p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization.

Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao

Int. J. Comput. Vis., June, 2024

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

J. Mach. Learn. Res., 2024

On Memorization of Large Language Models in Logical Reasoning.

Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar

CoRR, 2024

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning.

Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou

CoRR, 2024

Vulnerability Detection with Code Language Models: How Far Are We?

Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen

CoRR, 2024

Transformers Can Achieve Length Generalization But Not Robustly.

Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou

CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.

Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng

CoRR, 2024

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts.

Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Premise Order Matters in Reasoning with Large Language Models.

Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Chain of Code: Reasoning with a Language Model-Augmented Code Emulator.

Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.

Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Analogical Reasoners.

Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Optimizers.

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Teaching Large Language Models to Self-Debug.

Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models as Tool Makers.

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Large Language Models Cannot Self-Correct Reasoning Yet.

Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise.

Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

AISec '24: 17th ACM Workshop on Artificial Intelligence and Security.

Maura Pintor, Matthew Jagielski, Xinyun Chen

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Unsupervised Adaptive Bipartite Graph Embedding.

Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie

IEEE Trans. Knowl. Data Eng., October, 2023

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.

Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Universal Self-Consistency for Large Language Model Generation.

Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou

CoRR, 2023

Steady-State Analysis and Online Learning for Queues with Hawkes Arrivals.

Xinyun Chen, Guiyu Hong

CoRR, 2023

Large Language Models can Learn Rules.

Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai

CoRR, 2023

BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge.

Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein

CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.

Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou

CoRR, 2023

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner

CoRR, 2023

Larger language models do in-context learning differently.

Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma

CoRR, 2023

Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution.

Xinyun Chen, Yunan Liu, Guiyu Hong

CoRR, 2023

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner

Proceedings of the 26th International Symposium on Research in Attacks, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou

Proceedings of the International Conference on Machine Learning, 2023

Compositional Semantic Parsing with Large Language Models.

Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Symbol tuning improves in-context learning in language models.

Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

AISec '23: 16th ACM Workshop on Artificial Intelligence and Security.

Maura Pintor, Florian Simon Tramèr, Xinyun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Re-appraising the Schema Linking for Text-to-SQL.

Yujian Gan, Xinyun Chen, Matthew Purver

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Learning-Based Program Synthesis: Towards Synthesizing Complex Programs from Multi-Modal Specifications in the Wild

Xinyun Chen

PhD thesis, 2022

Editorial introduction to the special issue "Masakiyo Miyazawa - 75".

Xinyun Chen, Jim G. Dai, Sergey Foss

Queueing Syst. Theory Appl., 2022

Data-pooling Reinforcement Learning for Personalized Healthcare Intervention.

Xinyun Chen, Pengyi Shi, Shanwen Pu

CoRR, 2022

Scaling Instruction-Finetuned Language Models.

Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei

CoRR, 2022

Competition-Level Code Generation with AlphaCode.

Yujia Li, David H. Choi, Junyoung Chung, Nate Kushman, Julian Schrittwieser, Rémi Leblond, Tom Eccles, James Keeling, Felix Gimeno, Agustin Dal Lago, Thomas Hubert, Peter Choy, Cyprien de Masson d'Autume, Igor Babuschkin, Xinyun Chen, Po-Sen Huang, Johannes Welbl, Sven Gowal, Alexey Cherepanov, James Molloy, Daniel J. Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, Oriol Vinyals

CoRR, 2022

Tail Quantile Estimation for Non-Preemptive Priority Queues.

Jin Guang, Guiyu Hong, Xinyun Chen, Xi Peng, Li Chen, Bo Bai, Gong Zhang

Proceedings of the Winter Simulation Conference, 2022

Perturbation type categorization for multiple adversarial perturbation robustness.

Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment.

Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs.

Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Benchmarking Language Models for Code Syntax Understanding.

Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AISec '22: 15th ACM Workshop on Artificial Intelligence and Security.

Ambra Demontis, Xinyun Chen, Florian Tramèr

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations.

Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao

CoRR, 2021

A Note on General Statistics of Publicly Accessible Knowledge Bases.

Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen

CoRR, 2021

Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View.

Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song

CoRR, 2021

A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations.

Yihan Pan, Zhenghang Xu, Jin Guang, Xinyun Chen, Jim G. Dai, Chengwenjian Wang, Xuanming Zhang, Jingjing Sun, Pengyi Shi, Yichuan Ding, Song Wu, Kai Yang, Hongxin Pan

Proceedings of the Winter Simulation Conference, 2021

Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages.

Xinyun Chen, Dawn Song, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs.

Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing.

Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

SpreadsheetCoder: Formula Prediction from Semi-structured Context.

Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou

Proceedings of the 38th International Conference on Machine Learning, 2021

Natural SQL: Making SQL Easier to Infer from Natural Language Specifications.

Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization.

Yujian Gan, Xinyun Chen, Matthew Purver

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data.

Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song

Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021

Understanding Robustness in Teacher-Student Setting: A New Perspective.

Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Towards Robustness of Text-to-SQL Models against Synonym Substitution.

Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context.

Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

An Anonymous and Efficient ECC-Based Authentication Scheme for SIP.

Yousheng Zhou, Xinyun Chen

Wirel. Commun. Mob. Comput., 2020

Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid.

Yousheng Zhou, Xinyun Chen, Meihuan Chen

Secur. Commun. Networks, 2020

Rates of Convergence to Stationarity for Reflected Brownian Motion.

Jose H. Blanchet, Xinyun Chen

Math. Oper. Res., 2020

Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization.

Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao

CoRR, 2020

Adversarial Attacks for Embodied Agents.

Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

CoRR, 2020

Perfect Sampling of Multivariate Hawkes Processes.

Xinyun Chen, Xiuwen Wang

Proceedings of the Winter Simulation Conference, 2020

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

Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Compositional Generalization via Neural-Symbolic Stack Machines.

Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Symbolic Superoptimization Without Human Knowledge.

Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

Proceedings of the 8th International Conference on Learning Representations, 2020

Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension.

Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le

Proceedings of the 8th International Conference on Learning Representations, 2020

Spatiotemporal Attacks for Embodied Agents.

Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Perfect Sampling of Generalized Jackson Networks.

Jose H. Blanchet, Xinyun Chen

Math. Oper. Res., 2019

A Neural-based Program Decompiler.

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

CoRR, 2019

Coda: An End-to-End Neural Program Decompiler.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Perform Local Rewriting for Combinatorial Optimization.

Xinyun Chen, Yuandong Tian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Woodland Detection Using Most-Sure Strategy to Fuse Segmentation Results of Deep Learning.

Yuanyuan Gui, Wei Li, Yanan Wang, Anzhi Yue, Ying Pu, Xinyun Chen

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Execution-Guided Neural Program Synthesis.

Xinyun Chen, Chang Liu, Dawn Song

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment.

A. Korhan Aras, Xinyun Chen, Yunan Liu

Queueing Syst. Theory Appl., 2018

Learning to Progressively Plan.

Xinyun Chen, Yuandong Tian

CoRR, 2018

Tree-to-tree Neural Networks for Program Translation.

Xinyun Chen, Chang Liu, Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Towards Synthesizing Complex Programs From Input-Output Examples.

Xinyun Chen, Chang Liu, Dawn Song

Proceedings of the 6th International Conference on Learning Representations, 2018

Fooling Vision and Language Models Despite Localization and Attention Mechanism.

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

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

CoRR, 2017

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

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

CoRR, 2017

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

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

CoRR, 2017

Learning Neural Programs To Parse Programs.

Xinyun Chen, Chang Liu, Dawn Song

CoRR, 2017

Adversarial Example Defense: Ensembles of Weak Defenses are not Strong.

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

Proceedings of the 11th USENIX Workshop on Offensive Technologies, 2017

Delving into Transferable Adversarial Examples and Black-box Attacks.

Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

A General Retraining Framework for Scalable Adversarial Classification.

Bo Li, Yevgeniy Vorobeychik, Xinyun Chen

CoRR, 2016

Latent Attention For If-Then Program Synthesis.

Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Exact gradient simulation for stochastic fluid networks in steady state.

Xinyun Chen

Proceedings of the 2014 Winter Simulation Conference, 2014

ICA image feature extraction for improving diagnosis of Alzheimer's disease and mild cognitive impairment.

Wenlu Yang, Yan Li, Xinyun Chen

Proceedings of the 10th International Conference on Natural Computation, 2014

2012

Comparison of the Methods for Converting Traditional Credit Rating into the Initial Credit Score in Electronic Commerce.

Guangxing Song, Xinyun Chen

Proceedings of the 11th Wuhan International Conference on E-Business, 2012

2011

ICA-Based Automatic Classification of PET Images from ADNI Database.

Wenlu Yang, Fangyu He, Xinyun Chen, Xudong Huang

Proceedings of the Neural Information Processing - 18th International Conference, 2011

ICA-based classification of MCI vs HC.

Xinyun Chen, Wenlu Yang, Xudong Huang

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

ICA-Based Automatic Classification of Magnetic Resonance Images from ADNI Data.

Wenlu Yang, Xinyun Chen, Hong Xie, Xudong Huang

Proceedings of the Life System Modeling and Intelligent Computing, 2010