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Nan Jiang 0012
Person information
- affiliation: Purdue University West Lafayette, IN, USA
Other persons with the same name
- Nan Jiang — disambiguation page
- Nan Jiang 0001 — Chinese Academy of Sciences, Institute of Software, Beijing, China
- Nan Jiang 0002 — Zhejiang University School of Medicine, Hangzhou First People's Hospital, China
- Nan Jiang 0003
— Missouri University of Science and Technology, Rolla, MO, USA (and 2 more)
- Nan Jiang 0004
- Nan Jiang 0005
- Nan Jiang 0006 — Bournemouth University, Faculty of Science and Technology, Fern Barrow, Poole, United Kingdom (and 1 more)
- Nan Jiang 0007 — Colorado School of Mines, Computer Science Department, Golden, CO, USA (and 1 more)
- Nan Jiang 0008 — University of Illinois at Urbana-Champaign, Urbana, IL, USA (and 1 more)
- Nan Jiang 0009 — NVIDIA Corporation, St. Louis, USA (and 1 more)
- Nan Jiang 0010
- Nan Jiang 0011 — Arizona State University, Department of Electrical Engineering, Tempe, AZ, USA
- Nan Jiang 0013
- Nan Jiang 0014
- Nan Jiang 0015
- Nan Jiang 0016 — Huazhong University of Science and Technology, Wuhan, China
- Nan Jiang 0017 — University of Minnesota, Minneapolis, MN, USA
- Nan Jiang 0018 — Jiangsu Normal University, Xuzhou, China
- Nan Jiang 0019 — Texas A&M University, College Station, TX, USA
- Nan Jiang 0020
- Nan Jiang 0021
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2020 – today
- 2024
- [j4]Nan Jiang, Jinzhao Li, Yexiang Xue:
A Tighter Convergence Proof of Reverse Experience Replay. RLJ 1: 470-480 (2024) - [j3]Soneya Binta Hossain
A Deep Dive into Large Language Models for Automated Bug Localization and Repair. Proc. ACM Softw. Eng. 1(FSE): 1471-1493 (2024) - [c15]Nan Jiang, Yexiang Xue:
Racing Control Variable Genetic Programming for Symbolic Regression. AAAI 2024: 12901-12909 - [c14]Jinzhao Li, Nan Jiang, Yexiang Xue:
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. AAAI 2024: 20481-20490 - [c13]Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang:
ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries. CCS 2024: 4554-4568 - [c12]Nan Jiang
RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated Programs. APR 2024: 58-60 - [c11]Nan Jiang, Md. Nasim, Yexiang Xue:
Vertical Symbolic Regression via Deep Policy Gradient. IJCAI 2024: 5891-5899 - [i22]Nan Jiang, Md. Nasim, Yexiang Xue:
Vertical Symbolic Regression via Deep Policy Gradient. CoRR abs/2402.00254 (2024) - [i21]Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp:
A Deep Dive into Large Language Models for Automated Bug Localization and Repair. CoRR abs/2404.11595 (2024) - [i20]Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras:
Training LLMs to Better Self-Debug and Explain Code. CoRR abs/2405.18649 (2024) - [i19]Nan Jiang, Jinzhao Li, Yexiang Xue:
A Tighter Convergence Proof of Reverse Experience Replay. CoRR abs/2408.16999 (2024) - [i18]Nan Jiang, Md. Nasim, Yexiang Xue:
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. CoRR abs/2409.01416 (2024) - [i17]Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan:
WAFFLE: Multi-Modal Model for Automated Front-End Development. CoRR abs/2410.18362 (2024) - 2023
- [c10]Nan Jiang, Yi Gu, Yexiang Xue:
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. AAAI 2023: 4016-4024 - [c9]Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang:
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE 2023: 1251-1263 - [c8]Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan:
Impact of Code Language Models on Automated Program Repair. ICSE 2023: 1430-1442 - [c7]Yi Wu
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA 2023: 1282-1294 - [c6]Nan Jiang, Yexiang Xue
Symbolic Regression via Control Variable Genetic Programming. ECML/PKDD (4) 2023: 178-195 - [i16]Nan Jiang, Thibaud Lutellier
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR abs/2302.01857 (2023) - [i15]Nan Jiang, Kevin Liu, Thibaud Lutellier
Impact of Code Language Models on Automated Program Repair. CoRR abs/2302.05020 (2023) - [i14]Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah:
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR abs/2305.18607 (2023) - [i13]Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang:
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis. CoRR abs/2306.02546 (2023) - [i12]Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee:
Impact of Large Language Models on Generating Software Specifications. CoRR abs/2306.03324 (2023) - [i11]Nan Jiang, Yexiang Xue:
Symbolic Regression via Control Variable Genetic Programming. CoRR abs/2306.08057 (2023) - [i10]Nan Jiang, Yexiang Xue:
Racing Control Variable Genetic Programming for Symbolic Regression. CoRR abs/2309.07934 (2023) - [i9]Jinzhao Li, Nan Jiang, Yexiang Xue:
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees. CoRR abs/2309.08883 (2023) - [i8]Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang:
Nova+: Generative Language Models for Binaries. CoRR abs/2311.13721 (2023) - [i7]Nan Jiang, Md. Nasim, Yexiang Xue:
Vertical Symbolic Regression. CoRR abs/2312.11955 (2023) - 2022
- [j2]Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue:
Constraint Reasoning Embedded Structured Prediction. J. Mach. Learn. Res. 23: 345:1-345:40 (2022) - [j1]Jiawei Xue
Quantifying the spatial homogeneity of urban road networks via graph neural networks. Nat. Mach. Intell. 4(3): 246-257 (2022) - [c5]Maxwell J. Jacobson, Case Q. Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue:
Task Detection in Continual Learning via Familiarity Autoencoders. SMC 2022: 1-8 - [c4]Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue:
Massive Text Normalization via an Efficient Randomized Algorithm. WWW 2022: 2946-2956 - [i6]Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan:
On the Value of Behavioral Representations for Dense Retrieval. CoRR abs/2208.05663 (2022) - [i5]Nan Jiang, Yi Gu, Yexiang Xue:
Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. CoRR abs/2212.00296 (2022) - 2021
- [c3]Nan Jiang
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE 2021: 1161-1173 - [c2]Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue:
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. UAI 2021: 1100-1109 - [i4]Jiawei Xue
Quantifying spatial homogeneity of urban road networks via graph neural networks. CoRR abs/2101.00307 (2021) - [i3]Nan Jiang, Thibaud Lutellier, Lin Tan:
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR abs/2103.00073 (2021) - [i2]Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue:
A Fast Randomized Algorithm for Massive Text Normalization. CoRR abs/2110.03024 (2021) - 2020
- [c1]Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue:
Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach. EMNLP (Findings) 2020: 1286-1298 - [i1]Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue:
Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach. CoRR abs/2011.12334 (2020)
Coauthor Index
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last updated on 2024-12-15 01:26 CET by the dblp team
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