Nan Jiang - RankMe

60 papers A* 16A 3B 1Journal 35Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. AAAI Nan Jiang, Md. Nasim, Yexiang Xue
2025	J	`jnl`	An Exact Solver for Satisfiability Modulo Counting with Probabilistic Circuits. CoRR Jinzhao Li, Nan Jiang, Yexiang Xue
2025	—	`conf`	Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'. ACL (1) Shanchao Liang, Nan Jiang, Yiran Hu, Lin Tan
2025	A	`conf`	How Effective are Large Language Models in Generating Software Specifications? SANER Danning Xie, Byoung-Joo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee
2025	A*	`conf`	LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. AAAI Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan
2025	A*	`conf`	Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning. ICLR Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang, Petr Babkin
2025	A*	`conf`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. ICRA Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2025	J	`jnl`	Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. CoRR Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang
2025	J	`jnl`	Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. Proc. ACM Program. Lang. Ruixin Wang, Zhongkai Zhao, Le Fang, Nan Jiang, Yiling Lou, Lin Tan, Tianyi Zhang
2025	A*	`conf`	Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits. ICML Jinzhao Li, Nan Jiang, Yexiang Xue
2025	J	`jnl`	TENET: Leveraging Tests Beyond Validation for Code Generation. CoRR Yiran Hu, Nan Jiang, Shanchao Liang, Yi Wu, Lin Tan
2025	J	`jnl`	Unified Software Engineering agent as AI Software Engineer. CoRR Leonhard Applis, Yuntong Zhang, Shanchao Liang, Nan Jiang, Lin Tan, Abhik Roychoudhury
2025	A*	`conf`	Unleashing the Power of Generative Model in Recovering Variable Names from Stripped Binary. NDSS Xiangzhe Xu, Zhuo Zhang, Zian Su, Ziyang Huang, Shiwei Feng, Yapeng Ye, Nan Jiang, Danning Xie, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2025	—	`conf`	WAFFLE: Fine-tuning Multi-Modal Model for Automated Front-End Development. ACL (1) Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan
2024	J	`jnl`	A Deep Dive into Large Language Models for Automated Bug Localization and Repair. CoRR Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp
2024	J	`jnl`	A Deep Dive into Large Language Models for Automated Bug Localization and Repair. Proc. ACM Softw. Eng. Soneya Binta Hossain, Nan Jiang, Qiang Zhou, Xiaopeng Li, Wen-Hao Chiang, Yingjun Lyu, Hoan Anh Nguyen, Omer Tripp
2024	J	`jnl`	A Tighter Convergence Proof of Reverse Experience Replay. RLJ Nan Jiang, Jinzhao Li, Yexiang Xue
2024	J	`jnl`	A Tighter Convergence Proof of Reverse Experience Replay. CoRR Nan Jiang, Jinzhao Li, Yexiang Xue
2024	J	`jnl`	Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2024	J	`jnl`	Can Language Models Replace Programmers? REPOCOD Says 'Not Yet'. CoRR Shanchao Liang, Yiran Hu, Nan Jiang, Lin Tan
2024	J	`jnl`	Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code. CoRR Nan Jiang, Qi Li, Lin Tan, Tianyi Zhang
2024	J	`jnl`	LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement. CoRR Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, Lin Tan
2024	A*	`conf`	LeDex: Training LLMs to Better Self-Debug and Explain Code. NeurIPS Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024	A*	`conf`	Racing Control Variable Genetic Programming for Symbolic Regression. AAAI Nan Jiang, Yexiang Xue
2024	A*	`conf`	ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries. CCS Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
2024	—	`conf`	RepairCAT: Applying Large Language Model to Fix Bugs in AI-Generated Programs. APR Nan Jiang, Yi Wu
2024	J	`jnl`	SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models. CoRR Yi Wu, Zikang Xiong, Yiran Hu, Shreyash S. Iyengar, Nan Jiang, Aniket Bera, Lin Tan, Suresh Jagannathan
2024	A*	`conf`	Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees. AAAI Jinzhao Li, Nan Jiang, Yexiang Xue
2024	J	`jnl`	Training LLMs to Better Self-Debug and Explain Code. CoRR Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
2024	A*	`conf`	Vertical Symbolic Regression via Deep Policy Gradient. IJCAI Nan Jiang, Md. Nasim, Yexiang Xue
2024	J	`jnl`	Vertical Symbolic Regression via Deep Policy Gradient. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2024	J	`jnl`	WAFFLE: Multi-Modal Model for Automated Front-End Development. CoRR Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan
2023	A	`conf`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	J	`jnl`	How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
2023	A*	`conf`	Impact of Code Language Models on Automated Program Repair. ICSE Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
2023	J	`jnl`	Impact of Code Language Models on Automated Program Repair. CoRR Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
2023	J	`jnl`	Impact of Large Language Models on Generating Software Specifications. CoRR Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee
2023	A*	`conf`	KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
2023	J	`jnl`	KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
2023	A*	`conf`	Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma. AAAI Nan Jiang, Yi Gu, Yexiang Xue
2023	J	`jnl`	LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis. CoRR Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang
2023	J	`jnl`	Nova CoRR Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
2023	J	`jnl`	Racing Control Variable Genetic Programming for Symbolic Regression. CoRR Nan Jiang, Yexiang Xue
2023	J	`jnl`	Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees. CoRR Jinzhao Li, Nan Jiang, Yexiang Xue
2023	—	`conf`	Symbolic Regression via Control Variable Genetic Programming. ECML/PKDD (4) Nan Jiang, Yexiang Xue
2023	J	`jnl`	Symbolic Regression via Control Variable Genetic Programming. CoRR Nan Jiang, Yexiang Xue
2023	J	`jnl`	Vertical Symbolic Regression. CoRR Nan Jiang, Md. Nasim, Yexiang Xue
2022	J	`jnl`	Constraint Reasoning Embedded Structured Prediction. J. Mach. Learn. Res. Nan Jiang, Maosen Zhang, Willem-Jan van Hoeve, Yexiang Xue
2022	J	`jnl`	Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma. CoRR Nan Jiang, Yi Gu, Yexiang Xue
2022	A*	`conf`	Massive Text Normalization via an Efficient Randomized Algorithm. WWW Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2022	J	`jnl`	On the Value of Behavioral Representations for Dense Retrieval. CoRR Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan
2022	J	`jnl`	Quantifying the spatial homogeneity of urban road networks via graph neural networks. Nat. Mach. Intell. Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Takahiro Yabe, Satish V. Ukkusuri, Jianzhu Ma
2022	B	`conf`	Task Detection in Continual Learning via Familiarity Autoencoders. SMC Maxwell J. Jacobson, Case Q. Wright, Nan Jiang, Gustavo Rodriguez-Rivera, Yexiang Xue
2021	J	`jnl`	A Fast Randomized Algorithm for Massive Text Normalization. CoRR Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue
2021	A*	`conf`	CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE Nan Jiang, Thibaud Lutellier, Lin Tan
2021	J	`jnl`	CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR Nan Jiang, Thibaud Lutellier, Lin Tan
2021	A	`conf`	PALM: Probabilistic area loss Minimization for Protein Sequence Alignment. UAI Fan Ding, Nan Jiang, Jianzhu Ma, Jian Peng, Jinbo Xu, Yexiang Xue
2021	J	`jnl`	Quantifying spatial homogeneity of urban road networks via graph neural networks. CoRR Jiawei Xue, Nan Jiang, Senwei Liang, Qiyuan Pang, Satish V. Ukkusuri, Jianzhu Ma
2020	—	`conf`	Constraint Satisfaction Driven Natural Language Generation: A Tree Search Embedded MCMC Approach. EMNLP (Findings) Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue
2020	J	`jnl`	Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach. CoRR Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue