Nan Jiang

According to our database, Nan Jiang authored at least 24 papers between 2020 and 2024.

Collaborative distances:

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

2024

Vertical Symbolic Regression via Deep Policy Gradient.

Nan Jiang, Md. Nasim, Yexiang Xue

CoRR, 2024

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees.

Jinzhao Li, Nan Jiang, Yexiang Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Racing Control Variable Genetic Programming for Symbolic Regression.

Nan Jiang, Yexiang Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Vertical Symbolic Regression.

Nan Jiang, Md. Nasim, Yexiang Xue

CoRR, 2023

Nova⁺: Generative Language Models for Binaries.

Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang

CoRR, 2023

Impact of Large Language Models on Generating Software Specifications.

Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee

CoRR, 2023

LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis.

Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang

CoRR, 2023

Symbolic Regression via Control Variable Genetic Programming.

Nan Jiang, Yexiang Xue

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities.

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Impact of Code Language Models on Automated Program Repair.

Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma.

Nan Jiang, Yi Gu, Yexiang Xue

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Quantifying the spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma

Nat. Mach. Intell., 2022

Constraint Reasoning Embedded Structured Prediction.

Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue

J. Mach. Learn. Res., 2022

Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma.

Nan Jiang, Yi Gu, Yexiang Xue

CoRR, 2022

On the Value of Behavioral Representations for Dense Retrieval.

Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan

CoRR, 2022

Massive Text Normalization via an Efficient Randomized Algorithm.

Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Task Detection in Continual Learning via Familiarity Autoencoders.

Maxwell J. Jacobson, Case Q. Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021

A Fast Randomized Algorithm for Massive Text Normalization.

Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

CoRR, 2021

Quantifying spatial homogeneity of urban road networks via graph neural networks.

Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma

CoRR, 2021

PALM: Probabilistic area loss Minimization for Protein Sequence Alignment.

Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.

Nan Jiang, Thibaud Lutellier, Lin Tan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach.

Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

CoRR, 2020

Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach.

Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020