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2020 – today
- 2024
[j12]Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark B. Gerstein:
BioCoder: a benchmark for bioinformatics code generation with large language models. Bioinform. 40(Supplement_1): i266-i276 (2024)- [j11]Aishan Liu
, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao:
Towards Defending Multiple ℓ p-Norm Bounded Adversarial Perturbations via Gated Batch Normalization. Int. J. Comput. Vis. 132(6): 1881-1898 (2024) - [j10]Xinyun Chen, Yunan Liu, Guiyu Hong:
An Online Learning Approach to Dynamic Pricing and Capacity Sizing in Service Systems. Oper. Res. 72(6): 2677-2697 (2024) - [j9]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:
Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. 25: 70:1-70:53 (2024) - [c61]Maura Pintor, Matthew Jagielski, Xinyun Chen:
AISec '24: 17th ACM Workshop on Artificial Intelligence and Security. CCS 2024: 4905-4906 - [c60]Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen:
Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. CIKM 2024: 5599-5602 - [c59]Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou:
Large Language Models Cannot Self-Correct Reasoning Yet. ICLR 2024 - [c58]Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou:
Large Language Models as Tool Makers. ICLR 2024 - [c57]Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou:
Teaching Large Language Models to Self-Debug. ICLR 2024 - [c56]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:
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR 2024 - [c55]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. ICLR 2024 - [c54]Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou:
Large Language Models as Analogical Reasoners. ICLR 2024 - [c53]Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou:
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. ICLR 2024 - [c52]Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter:
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. ICML 2024 - [c51]Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou:
Premise Order Matters in Reasoning with Large Language Models. ICML 2024 - [c50]Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer:
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. ICML 2024 - [e4]Maura Pintor, Xinyun Chen, Matthew Jagielski:
Proceedings of the 2024 Workshop on Artificial Intelligence and Security, AISec 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-1228-9 [contents] - [i59]Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng:
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR abs/2402.03620 (2024) - [i58]Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou:
Premise Order Matters in Reasoning with Large Language Models. CoRR abs/2402.08939 (2024) - [i57]Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou:
Transformers Can Achieve Length Generalization But Not Robustly. CoRR abs/2402.09371 (2024) - [i56]Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John F. Canny, Ian Fischer:
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. CoRR abs/2402.09727 (2024) - [i55]Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen:
Vulnerability Detection with Code Language Models: How Far Are We? CoRR abs/2403.18624 (2024) - [i54]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:
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning. CoRR abs/2406.04520 (2024) - [i53]Chulin Xie, Yangsibo Huang, Chiyuan Zhang, Da Yu, Xinyun Chen, Bill Yuchen Lin, Bo Li, Badih Ghazi, Ravi Kumar:
On Memorization of Large Language Models in Logical Reasoning. CoRR abs/2410.23123 (2024) - 2023
- [j8]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1563-1580 (2023) - [j7]Jianyong Zhu, Xinyun Chen, Hui Yang, Feiping Nie:
Unsupervised Adaptive Bipartite Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(10): 10514-10525 (2023) - [c49]Yujian Gan, Xinyun Chen, Matthew Purver:
Re-appraising the Schema Linking for Text-to-SQL. ACL (Findings) 2023: 835-852 - [c48]Maura Pintor, Florian Simon Tramèr, Xinyun Chen:
AISec '23: 16th ACM Workshop on Artificial Intelligence and Security. CCS 2023: 3666-3668 - [c47]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:
Symbol tuning improves in-context learning in language models. EMNLP 2023: 968-979 - [c46]Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou:
Compositional Semantic Parsing with Large Language Models. ICLR 2023 - [c45]Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. ICML 2023: 31210-31227 - [c44]Yizheng Chen, Zhoujie Ding, Lamya Alowain, Xinyun Chen, David A. Wagner:
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. RAID 2023: 654-668 - [e3]Maura Pintor, Xinyun Chen, Florian Tramèr:
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023. ACM 2023 [contents] - [i52]Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR abs/2302.00093 (2023) - [i51]Xinyun Chen, Yunan Liu, Guiyu Hong:
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution. CoRR abs/2303.03399 (2023) - [i50]Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma:
Larger language models do in-context learning differently. CoRR abs/2303.03846 (2023) - [i49]Yizheng Chen, Zhoujie Ding, Xinyun Chen, David A. Wagner:
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection. CoRR abs/2304.00409 (2023) - [i48]Xinyun Chen, Maxwell Lin, Nathanael Schärli, Denny Zhou:
Teaching Large Language Models to Self-Debug. CoRR abs/2304.05128 (2023) - [i47]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:
Symbol tuning improves in-context learning in language models. CoRR abs/2305.08298 (2023) - [i46]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:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i45]Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou:
Large Language Models as Tool Makers. CoRR abs/2305.17126 (2023) - [i44]Xiangru Tang, Bill Qian, Rick Gao, Jiakang Chen, Xinyun Chen, Mark Gerstein:
BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge. CoRR abs/2308.16458 (2023) - [i43]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. CoRR abs/2309.03409 (2023) - [i42]Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec, Percy Liang, Ed H. Chi, Denny Zhou:
Large Language Models as Analogical Reasoners. CoRR abs/2310.01714 (2023) - [i41]Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou:
Large Language Models Cannot Self-Correct Reasoning Yet. CoRR abs/2310.01798 (2023) - [i40]Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V. Le, Denny Zhou:
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models. CoRR abs/2310.06117 (2023) - [i39]Zhaocheng Zhu, Yuan Xue, Xinyun Chen, Denny Zhou, Jian Tang, Dale Schuurmans, Hanjun Dai:
Large Language Models can Learn Rules. CoRR abs/2310.07064 (2023) - [i38]Xinyun Chen, Guiyu Hong:
Steady-State Analysis and Online Learning for Queues with Hawkes Arrivals. CoRR abs/2311.02577 (2023) - [i37]Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou:
Universal Self-Consistency for Large Language Model Generation. CoRR abs/2311.17311 (2023) - [i36]Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter:
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR abs/2312.04474 (2023) - 2022
- [b1]Xinyun Chen:
Learning-Based Program Synthesis: Towards Synthesizing Complex Programs from Multi-Modal Specifications in the Wild. University of California, Berkeley, USA, 2022 - [j6]Xinyun Chen, Jim G. Dai, Sergey Foss:
Editorial introduction to the special issue "Masakiyo Miyazawa - 75". Queueing Syst. Theory Appl. 102(1-2): 1-5 (2022) - [c43]Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao:
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. AAAI 2022: 8267-8276 - [c42]Ambra Demontis, Xinyun Chen, Florian Tramèr:
AISec '22: 15th ACM Workshop on Artificial Intelligence and Security. CCS 2022: 3549-3551 - [c41]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. EMNLP (Findings) 2022: 3071-3093 - [c40]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans:
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. KDD 2022: 1472-1482 - [c39]Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver:
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment. NAACL-HLT (Findings) 2022: 831-843 - [c38]Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song:
Perturbation type categorization for multiple adversarial perturbation robustness. UAI 2022: 1317-1327 - [c37]Jin Guang, Guiyu Hong, Xinyun Chen, Xi Peng, Li Chen, Bo Bai, Gong Zhang:
Tail Quantile Estimation for Non-Preemptive Priority Queues. WSC 2022: 85-96 - [e2]Ambra Demontis, Xinyun Chen, Florian Tramèr:
Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, AISec 2022, Los Angeles, CA, USA, 11 November 2022. ACM 2022, ISBN 978-1-4503-9880-0 [contents] - [i35]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:
Competition-Level Code Generation with AlphaCode. CoRR abs/2203.07814 (2022) - [i34]Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver:
Measuring and Improving Compositional Generalization in Text-to-SQL via Component Alignment. CoRR abs/2205.02054 (2022) - [i33]Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou:
Compositional Semantic Parsing with Large Language Models. CoRR abs/2209.15003 (2022) - [i32]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:
Scaling Instruction-Finetuned Language Models. CoRR abs/2210.11416 (2022) - [i31]Da Shen, Xinyun Chen, Chenguang Wang, Koushik Sen, Dawn Song:
Benchmarking Language Models for Code Syntax Understanding. CoRR abs/2210.14473 (2022) - [i30]Xinyun Chen, Pengyi Shi, Shanwen Pu:
Data-pooling Reinforcement Learning for Personalized Healthcare Intervention. CoRR abs/2211.08998 (2022) - 2021
- [c36]Xinyun Chen, Linyuan Gong, Alvin Cheung, Dawn Song:
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context. ACL/IJCNLP (1) 2021: 2169-2181 - [c35]Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang:
Towards Robustness of Text-to-SQL Models against Synonym Substitution. ACL/IJCNLP (1) 2021: 2505-2515 - [c34]Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian:
Understanding Robustness in Teacher-Student Setting: A New Perspective. AISTATS 2021: 3313-3321 - [c33]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data. AsiaCCS 2021: 321-335 - [c32]Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang:
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. EMNLP (Findings) 2021: 2030-2042 - [c31]Yujian Gan, Xinyun Chen, Matthew Purver:
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization. EMNLP (1) 2021: 8926-8931 - [c30]Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou:
SpreadsheetCoder: Formula Prediction from Semi-structured Context. ICML 2021: 1661-1672 - [c29]Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao:
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. ICML 2021: 3469-3479 - [c28]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou:
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs. ICML 2021: 8959-8970 - [c27]Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar:
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia 2021: 5686-5687 - [c26]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. NeurIPS 2021: 22196-22208 - [c25]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:
A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations. WSC 2021: 1-12 - [e1]Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu:
ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8672-2 [contents] - [i29]Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian:
Understanding Robustness in Teacher-Student Setting: A New Perspective. CoRR abs/2102.13170 (2021) - [i28]Yihan Pan, Zhenghang Xu, Jin Guang, Jingjing Sun, Chengwenjian Wang, Xuanming Zhang, Xinyun Chen, Jim G. Dai, Yichuan Ding, Pengyi Shi, Hongxin Pan, Kai Yang, Song Wu:
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations. CoRR abs/2104.07451 (2021) - [i27]Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang:
Towards Robustness of Text-to-SQL Models against Synonym Substitution. CoRR abs/2106.01065 (2021) - [i26]Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song:
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View. CoRR abs/2106.13097 (2021) - [i25]Xinyun Chen, Petros Maniatis, Rishabh Singh, Charles Sutton, Hanjun Dai, Max Lin, Denny Zhou:
SpreadsheetCoder: Formula Prediction from Semi-structured Context. CoRR abs/2106.15339 (2021) - [i24]Xinyun Chen, Dawn Song, Yuandong Tian:
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages. CoRR abs/2107.00101 (2021) - [i23]Feixiang Wang, Yixiang Fang, Yan Song, Shuang Li, Xinyun Chen:
A Note on General Statistics of Publicly Accessible Knowledge Bases. CoRR abs/2107.03572 (2021) - [i22]Yujian Gan, Xinyun Chen, Jinxia Xie, Matthew Purver, John R. Woodward, John H. Drake, Qiaofu Zhang:
Natural SQL: Making SQL Easier to Infer from Natural Language Specifications. CoRR abs/2109.05153 (2021) - [i21]Yujian Gan, Xinyun Chen, Matthew Purver:
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization. CoRR abs/2109.05157 (2021) - [i20]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:
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR abs/2109.05211 (2021) - [i19]Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans:
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs. CoRR abs/2110.14890 (2021) - [i18]Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao:
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and Explanations. CoRR abs/2112.09174 (2021) - 2020
- [j5]Jose H. Blanchet, Xinyun Chen:
Rates of Convergence to Stationarity for Reflected Brownian Motion. Math. Oper. Res. 45(2): 660-681 (2020) - [j4]Yousheng Zhou, Xinyun Chen, Meihuan Chen:
Privacy-Preserving Multidimensional Data Aggregation Scheme for Smart Grid. Secur. Commun. Networks 2020: 8845959:1-8845959:14 (2020) - [j3]Yousheng Zhou, Xinyun Chen:
An Anonymous and Efficient ECC-Based Authentication Scheme for SIP. Wirel. Commun. Mob. Comput. 2020: 8886585:1-8886585:11 (2020) - [c24]Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Spatiotemporal Attacks for Embodied Agents. ECCV (17) 2020: 122-138 - [c23]Xinyun Chen, Chen Liang, Adams Wei Yu, Denny Zhou, Dawn Song, Quoc V. Le:
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension. ICLR 2020 - [c22]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. ICLR 2020 - [c21]Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao:
Deep Symbolic Superoptimization Without Human Knowledge. ICLR 2020 - [c20]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. NeurIPS 2020 - [c19]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. NeurIPS 2020 - [c18]Xinyun Chen, Xiuwen Wang:
Perfect Sampling of Multivariate Hawkes Processes. WSC 2020: 469-480 - [i17]Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao:
Adversarial Attacks for Embodied Agents. CoRR abs/2005.09161 (2020) - [i16]Kavi Gupta, Peter Ebert Christensen, Xinyun Chen, Dawn Song:
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis. CoRR abs/2007.08095 (2020) - [i15]Xinyun Chen, Chen Liang, Adams Wei Yu, Dawn Song, Denny Zhou:
Compositional Generalization via Neural-Symbolic Stack Machines. CoRR abs/2008.06662 (2020) - [i14]Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao:
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR abs/2012.01654 (2020) - [i13]Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein:
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses. CoRR abs/2012.10544 (2020)
2010 – 2019
- 2019
- [j2]Jose H. Blanchet, Xinyun Chen:
Perfect Sampling of Generalized Jackson Networks. Math. Oper. Res. 44(2): 693-714 (2019) - [c17]Xinyun Chen, Chang Liu, Dawn Song:
Execution-Guided Neural Program Synthesis. ICLR (Poster) 2019 - [c16]Yuanyuan Gui, Wei Li, Yanan Wang, Anzhi Yue, Ying Pu, Xinyun Chen:
Woodland Detection Using Most-Sure Strategy to Fuse Segmentation Results of Deep Learning. IGARSS 2019: 6724-6727 - [c15]Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
Coda: An End-to-End Neural Program Decompiler. NeurIPS 2019: 3703-3714 - [c14]Xinyun Chen, Yuandong Tian:
Learning to Perform Local Rewriting for Combinatorial Optimization. NeurIPS 2019: 6278-6289 - [i12]Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao:
A Neural-based Program Decompiler. CoRR abs/1906.12029 (2019) - [i11]Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha:
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies. CoRR abs/1910.04849 (2019) - [i10]Xinyun Chen, Wenxiao Wang, Chris Bender, Yiming Ding, Ruoxi Jia, Bo Li, Dawn Song:
REFIT: a Unified Watermark Removal Framework for Deep Learning Systems with Limited Data. CoRR abs/1911.07205 (2019) - 2018
- [j1]A. Korhan Aras, Xinyun Chen, Yunan Liu:
Many-server Gaussian limits for overloaded non-Markovian queues with customer abandonment. Queueing Syst. Theory Appl. 89(1-2): 81-125 (2018) - [c13]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c12]Xinyun Chen, Chang Liu, Dawn Song:
Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) 2018 - [c11]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) 2018 - [c10]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. NeurIPS 2018: 2552-2562 - [i9]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. CoRR abs/1802.03691 (2018) - [i8]Xinyun Chen, Yuandong Tian:
Learning to Progressively Plan. CoRR abs/1810.00337 (2018) - 2017
- [c9]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. ICLR (Poster) 2017 - [c8]Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song:
Adversarial Example Defense: Ensembles of Weak Defenses are not Strong. WOOT 2017 - [i7]Xinyun Chen, Chang Liu, Dawn Song:
Learning Neural Programs To Parse Programs. CoRR abs/1706.01284 (2017) - [i6]Warren He, James Wei, Xinyun Chen, Nicholas Carlini, Dawn Song:
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong. CoRR abs/1706.04701 (2017) - [i5]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Can you fool AI with adversarial examples on a visual Turing test? CoRR abs/1709.08693 (2017) - [i4]Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song:
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. CoRR abs/1712.05526 (2017) - 2016
- [c7]Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song:
Latent Attention For If-Then Program Synthesis. NIPS 2016: 4574-4582 - [i3]Bo Li, Yevgeniy Vorobeychik, Xinyun Chen:
A General Retraining Framework for Scalable Adversarial Classification. CoRR abs/1604.02606 (2016) - [i2]Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen:
Latent Attention For If-Then Program Synthesis. CoRR abs/1611.01867 (2016) - [i1]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. CoRR abs/1611.02770 (2016) - 2014
- [c6]Wenlu Yang, Yan Li, Xinyun Chen:
ICA image feature extraction for improving diagnosis of Alzheimer's disease and mild cognitive impairment. ICNC 2014: 802-806 - [c5]Xinyun Chen:
Exact gradient simulation for stochastic fluid networks in steady state. WSC 2014: 586-594 - 2012
- [c4]Guangxing Song, Xinyun Chen:
Comparison of the Methods for Converting Traditional Credit Rating into the Initial Credit Score in Electronic Commerce. WHICEB 2012: 37 - 2011
- [c3]Xinyun Chen, Wenlu Yang, Xudong Huang:
ICA-based classification of MCI vs HC. ICNC 2011: 1658-1662 - [c2]Wenlu Yang, Fangyu He, Xinyun Chen, Xudong Huang:
ICA-Based Automatic Classification of PET Images from ADNI Database. ICONIP (1) 2011: 265-272 - 2010
- [c1]Wenlu Yang, Xinyun Chen, Hong Xie, Xudong Huang:
ICA-Based Automatic Classification of Magnetic Resonance Images from ADNI Data. LSMS/ICSEE 2010: 340-347
Coauthor Index
Dawn Song
aka: Dawn Xiaodong Song
aka: Dawn Xiaodong Song
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